WorldWideScience

Sample records for scientific collaboration network

  1. Network effects on scientific collaborations.

    Directory of Open Access Journals (Sweden)

    Shahadat Uddin

    Full Text Available BACKGROUND: The analysis of co-authorship network aims at exploring the impact of network structure on the outcome of scientific collaborations and research publications. However, little is known about what network properties are associated with authors who have increased number of joint publications and are being cited highly. METHODOLOGY/PRINCIPAL FINDINGS: Measures of social network analysis, for example network centrality and tie strength, have been utilized extensively in current co-authorship literature to explore different behavioural patterns of co-authorship networks. Using three SNA measures (i.e., degree centrality, closeness centrality and betweenness centrality, we explore scientific collaboration networks to understand factors influencing performance (i.e., citation count and formation (tie strength between authors of such networks. A citation count is the number of times an article is cited by other articles. We use co-authorship dataset of the research field of 'steel structure' for the year 2005 to 2009. To measure the strength of scientific collaboration between two authors, we consider the number of articles co-authored by them. In this study, we examine how citation count of a scientific publication is influenced by different centrality measures of its co-author(s in a co-authorship network. We further analyze the impact of the network positions of authors on the strength of their scientific collaborations. We use both correlation and regression methods for data analysis leading to statistical validation. We identify that citation count of a research article is positively correlated with the degree centrality and betweenness centrality values of its co-author(s. Also, we reveal that degree centrality and betweenness centrality values of authors in a co-authorship network are positively correlated with the strength of their scientific collaborations. CONCLUSIONS/SIGNIFICANCE: Authors' network positions in co

  2. [Co-authorship and Spanish pediatric scientific collaboration networks (2006-2010)].

    Science.gov (United States)

    Aleixandre Benavent, R; González de Dios, J; Alonso Arroyo, A; Bolaños Pizarro, M; Castelló Cogollos, L; González Alcaide, G; Vidal Infer, A; Navarro Molina, C; Coronado Ferrer, S; González Muñoz, M; Málaga Guerrero, S

    2013-06-01

    Scientific collaboration is very important, as it is the basis of the scientific development of every discipline. The aim of this paper is to identify the indicators of scientific collaboration and co-authorship networks of Spanish researchers and institutions publishing in national and international paediatric, multidisciplinary or other knowledge areas journals during the period 2006-2010. The papers studied were obtained from the databases including, Science Citation Index Expanded, Scopus, Índice Médico Español and Índice Bibliográfico Español en Ciencias de la Salud, by means of applying different search profiles. All the papers signed by co-authors were quantified in order to identify the authorship and institutional collaboration networks. Furthermore the degree, betweenness index, and closeness index were obtained as a measurement of the structural analysis. Co-authorships were represented graphically by the network analysis and display software Pajek. A total of 7971 articles were published during the period 2006-2010, with 90.55% completed in collaboration. Using a threshold of 10 or more co-authorships, 77 research groups in Pediatrics were identified. Most papers were published in collaboration between institutions of the same Autonomous Community (42.28%), and 14.84% with international collaboration. The analysis of institutional participation enabled a large nucleus or institutional collaboration network to be identified, with 52 linked institutions. International collaboration was led by the USA and European countries, such as United Kingdom, Germany and Italy. Authors, institutions and the most active working groups in Spanish pediatrics were identified, which is very interesting information to establish contacts to increase the existing networks, to prevent redundancies, and to take advantage of the new emerging groups. It is necessary to promote the collaboration of Spanish researchers, especially with their international colleagues, since a

  3. Scientific Collaboration in Chinese Nursing Research: A Social Network Analysis Study.

    Science.gov (United States)

    Hou, Xiao-Ni; Hao, Yu-Fang; Cao, Jing; She, Yan-Chao; Duan, Hong-Mei

    2016-01-01

    Collaboration has become very important in research and in technological progress. Coauthorship networks in different fields have been intensively studied as an important type of collaboration in recent years. Yet there are few published reports about collaboration in the field of nursing. This article aimed to reveal the status and identify the key features of collaboration in the field of nursing in China. Using data from the top 10 nursing journals in China from 2003 to 2013, we constructed a nursing scientific coauthorship network using social network analysis. We found that coauthorship was a common phenomenon in the Chinese nursing field. A coauthorship network with 228 subnetworks formed by 1428 nodes was constructed. The network was relatively loose, and most subnetworks were of small scales. Scholars from Shanghai and from military medical system were at the center of the Chinese nursing scientific coauthorship network. We identified the authors' positions and influences according to the research output and centralities of each author. We also analyzed the microstructure and the evolution over time of the maximum subnetwork.

  4. Social Networking Adapted for Distributed Scientific Collaboration

    Science.gov (United States)

    Karimabadi, Homa

    2012-01-01

    Share is a social networking site with novel, specially designed feature sets to enable simultaneous remote collaboration and sharing of large data sets among scientists. The site will include not only the standard features found on popular consumer-oriented social networking sites such as Facebook and Myspace, but also a number of powerful tools to extend its functionality to a science collaboration site. A Virtual Observatory is a promising technology for making data accessible from various missions and instruments through a Web browser. Sci-Share augments services provided by Virtual Observatories by enabling distributed collaboration and sharing of downloaded and/or processed data among scientists. This will, in turn, increase science returns from NASA missions. Sci-Share also enables better utilization of NASA s high-performance computing resources by providing an easy and central mechanism to access and share large files on users space or those saved on mass storage. The most common means of remote scientific collaboration today remains the trio of e-mail for electronic communication, FTP for file sharing, and personalized Web sites for dissemination of papers and research results. Each of these tools has well-known limitations. Sci-Share transforms the social networking paradigm into a scientific collaboration environment by offering powerful tools for cooperative discourse and digital content sharing. Sci-Share differentiates itself by serving as an online repository for users digital content with the following unique features: a) Sharing of any file type, any size, from anywhere; b) Creation of projects and groups for controlled sharing; c) Module for sharing files on HPC (High Performance Computing) sites; d) Universal accessibility of staged files as embedded links on other sites (e.g. Facebook) and tools (e.g. e-mail); e) Drag-and-drop transfer of large files, replacing awkward e-mail attachments (and file size limitations); f) Enterprise-level data and

  5. Mapping the research on scientific collaboration

    Institute of Scientific and Technical Information of China (English)

    HOU Jianhua; CHEN Chaomei; YAN Jianxin

    2010-01-01

    The aim of this paper was to identify the trends and hot topics in the study of scientific collaboration via scientometric analysis.Information visualization and knowledge domain visualization techniques were adopted to determine how the study of scientific collaboration has evolved.A total of 1,455 articles on scientific cooperation published between 1993 and 2007 were retrieved from the SCI,SSCI and A&HCI databases with a topic search of scientific collaboration or scientific cooperation for the analysis.By using CiteSpace,the knowledge bases,research foci,and research fronts in the field of scientific collaboration were studied.The results indicated that research fronts and research foci are highly consistent in terms of the concept,origin,measurement,and theory of scientific collaboration.It also revealed that research fronts included scientific collaboration networks,international scientific collaboration,social network analysis and techniques,and applications of bibliometrical indicators,webmetrics,and health care related areas.

  6. An in-depth longitudinal analysis of mixing patterns in a small scientific collaboration network

    Energy Technology Data Exchange (ETDEWEB)

    Rodriguez, Marko A [Los Alamos National Laboratory; Pepe, Alberto [UCLA

    2009-01-01

    Many investigations of scientific collaboration are based on large-scale statistical analyses of networks constructed from bibliographic repositories. These investigations often rely on a wealth of bibliographic data, but very little or no other information about the individuals in the network, and thus, fail to illustate the broader social and academic landscape in which collaboration takes place. In this article, we perform an in-depth longitudinal analysis of a small-scale network of scientific collaboration (N = 291) constructed from the bibliographic record of a research center involved in the development and application of sensor network technologies. We perform a preliminary analysis of selected structural properties of the network, computing its range, configuration and topology. We then support our preliminary statistical analysis with an in-depth temporal investigation of the assortativity mixing of these node characteristics: academic department, affiliation, position, and country of origin of the individuals in the network. Our qualitative analysis of mixing patterns offers clues as to the nature of the scientific community being modeled in relation to its organizational, disciplinary, institutional, and international arrangements of collaboration.

  7. Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks

    Science.gov (United States)

    Ding, Ying

    2010-01-01

    Scientific collaboration and endorsement are well-established research topics which utilize three kinds of methods: survey/questionnaire, bibliometrics, and complex network analysis. This paper combines topic modeling and path-finding algorithms to determine whether productive authors tend to collaborate with or cite researchers with the same or different interests, and whether highly cited authors tend to collaborate with or cite each other. Taking information retrieval as a test field, the results show that productive authors tend to directly coauthor with and closely cite colleagues sharing the same research interests; they do not generally collaborate directly with colleagues having different research topics, but instead directly or indirectly cite them; and highly cited authors do not generally coauthor with each other, but closely cite each other. PMID:21344057

  8. [Interagency collaboration in Spanish scientific production in nursing: social network analysis].

    Science.gov (United States)

    Almero-Canet, Amparo; López-Ferrer, Mayte; Sales-Orts, Rafael

    2013-01-01

    The objectives of this paper are to analyze the Spanish scientific production in nursing, define its temporal evolution, its geographical and institutional distribution, and observe the interinstitutional collaboration. We analyze a comprehensive sample of Spanish scientific production in the nursing area extracted from the multidisciplinary database SciVerse Scopus. The nursing scientific production grows along time. The collaboration rate is 3.7 authors per paper and 61% of the authors only publish one paper. Barcelona and Madrid are the provinces with highest number of authors. Most belong to the hospitalary environment, followed closely by authors belonging to the university. The most institutions that collaborate, sharing authorship of articles are: University of Barcelona, Autonomous University of Barcelona and Clinic Hospital of Barcelona. The nursing scientific production has been increasing since her incorporation at the university. The collaboration rate found is higher than found for other papers. It shows a low decrease of occasional authors. It discusses the outlook of scientific collaboration in nursing in Spain, at the level of institutions by co-authorship of papers, through a network graph. It observes their distribution, importance and interactions or lack thereof. There is a strong need to use international databases for research, care and teaching, in addition to the national specialized information resources. Professionals are encouraged to normalization of the paper's signature, both, surnames and institutions to which they belong. It confirms the limited cooperation with foreign institutions, although there is an increasing trend of collaboration between Spanish authors in this discipline. It is observed, clearly defined three interinstitutional collaboration patterns. Copyright © 2012 Elsevier España, S.L. All rights reserved.

  9. The world network of scientific collaborations between cities: domestic or international dynamics?

    Energy Technology Data Exchange (ETDEWEB)

    Maisonobe, M.; Eckert, D.; Grossetti, M.; Jégou, L.; Milard, B.

    2016-07-01

    Earlier publication (Grossetti et al., 2014) has established that we are attending a decreasing concentration of scientific activities within “world-cities”. Given that more and more cities and countries are contributing to the world production of knowledge, this article analyzes the evolution of the world network of collaborations both at the domestic and international levels during the 2000s. Using data from the Science Citation Index Expanded, scientific authors’ addresses are geo-localized and grouped by urban areas. Our data suggests that interurban collaborations within countries have increased together with international linkages. In most countries, domestic collaborations have increased faster than international collaborations. Even among the top collaborating cities, sometimes referred to as “world cities”, the share of domestic collaborations is gaining momentum. Our results suggest that, contrary to common beliefs about the globalization process, national systems of research have been strengthening during the 2000s. (Author)

  10. [Peruvian scientific production in medicine and collaboration networks, analysis of the Science Citation Index 2000-2009].

    Science.gov (United States)

    Huamaní, Charles; Mayta-Tristán, Percy

    2010-09-01

    To describe the Peruvian scientific production in indexed journals in the Institute for Scientific Information (ISI) and the characteristics of the institutional collaborative networks. All papers published in the ISI database (Clinical Medicine collection) were included during 2000 to 2009 with at least one author with a Peruvian affiliation. The publication trend, address of corresponding author, type of article, institution, city (only for Peru), and country were evaluated. The collaborative networks were analized using the Pajek® software. 1210 papers were found, increasing from 61 in 2000 to 200 in 2009 (average of 121 articles/year). 30.4% articles included a corresponding author from a Peruvian institution. The average of authors per article was 8.3. Original articles represented 82.1% of total articles. Infectious diseases-related journals concentrated most of the articles. The main countries that collaborate with Peru are: USA (60.4%), England (12.9%), and Brazil (8.0%). Lima concentrated 94.7% of the publications and three regions (Huancavelica, Moquegua and Tacna) did not register any publication. Only two universities published more than one article/year and four institutions published more than 10 articles/year. Universidad Peruana Cayetano Heredia published 45% of the total number of articles, being the most productive institution and which concentrated the most number of collaborations with foreign institutions. The ministry of Health--including all dependencies--published 37.3% of the total number of publications. There is a higher level of collaboration with foreign institutions rather than local institutions. The Peruvian scientific production in medicine represented in the ISI database is very low but growing, and is concentrated in Lima and in a few institutions. The most productive Peruvian institutions collaborate more intensively with foreign journals rather than local institutions.

  11. Comparing absolute and normalized indicators in scientific collaboration: a study in Environmental Science in Latin America

    Energy Technology Data Exchange (ETDEWEB)

    Cabrini-Grácio, M.C.; Oliveira, E.F.T.

    2016-07-01

    This paper aims to conduct a comparative analysis of scientific collaboration proximity trends generated from absolute indicators and indicators of collaboration intensity in the field of Environmental Sciences in Latin America (LA), in order to identify possible existing biases in the absolute indicators of international cooperation, due to the magnitude of scientific production of these countries in mainstream science. More specifically, the objective is to analyze the compared forms of absolute and normalized values of co-authorship among Latin America countries and their main collaborators, in order to observe similarities and differences expressed by two indexes of frequency in relation to scientific collaboration trends in LA countries. In addition, we aim to visualize and analyze scientific collaboration networks with absolute and normalized indexes of co-authorship through SC among Latin America countries and their collaborators, comparing proximity evidenced by two generated collaborative networks - absolute and relative indicators. Data collection comprised a period of 10 years (2006-2015) for the countries from LA: Brazil, Mexico, Argentina, Chile and Colombia as they produced 94% of total production, a percentage considered representative and significant for this study. Then, we verified the co-authorship frequencies among the five countries and their key collaborators and builted the matrix with the indexes of co-authorship normalized through SC. Then, we generated two egocentric networks of scientific collaboration - absolute frequencies and normalized frequencies through SC using Pajek software. From the results, we observed the need for absolute and normalized indicators to describe the scientific collaboration phenomenon in a more thoroughly way, once these indicators provide complementary information. (Author)

  12. Ciência & Saúde Coletiva: scientific production analysis and collaborative research networks.

    Science.gov (United States)

    Conner, Norma; Provedel, Attilio; Maciel, Ethel Leonor Noia

    2017-03-01

    The purpose of this metric and descriptive study was to identify the most productive authors and their collaborative research networks from articles published in Ciência & Saúde Coletiva between, 2005, and 2014. Authors meeting the cutoff criteria of at least 10 articles were considered the most productive authors. VOSviewer and Network Workbench technologies were applied for visual representations of collaborative research networks involving the most productive authors in the period. Initial analysis recovered 2511 distinct articles, with 8920 total authors with an average of 3.55 authors per article. Author analysis revealed 6288 distinct authors, 24 of these authors were identified as the most productive. These 24 authors generated 287 articles with an average of 4.31 authors per article, and represented 8 separate collaborative partnerships, the largest of which had 14 authors, indicating a significant degree of collaboration among these authors. This analysis provides a visual representation of networks of knowledge development in public health and demonstrates the usefulness of VOSviewer and Network Workbench technologies in future research.

  13. Implications of Scientific Collaboration Networks on Studies of Aquatic Vertebrates in the Brazilian Amazon.

    Science.gov (United States)

    Salinero, María Celeste; Michalski, Fernanda

    2016-01-01

    The quantity of wildlife extracted from the Amazon has increased in the past decades as a consequence of an increase in human population density and income growth. To evaluate the spatial distribution of studies on subsistence and/or commercial hunting conducted in the Brazilian Amazon, we selected eight mid-sized and large-bodied aquatic vertebrate species with a history of human exploitation in the region. We used a combination of searches in the gray and scientific literature from the past 24 years to provide an updated distributional map of studies on the target species. We calculated the distances between the study sites and the locations of the research institutes/universities that the first and last authors of the same study were affiliated to. For the period of 1990 to 2014, we found 105 studies on the subsistence and/or commercial hunting of aquatic vertebrates in the Brazilian Amazon in 271 locations that involved 43 institutions (37 Brazilian and 6 international). The spatial distribution of the studies across the Brazilian Amazon varied, but over 80% took place in the northeast and central Amazon, encompassing three States of the Legal Brazilian Amazon (Amazonas, 51.42%; Pará, 19.05%; and Amapá, 16.19%). Over half of the research study sites (52.91%) were within 500 km of the research institute/university of the first or last authors. Some research institutes/universities did not have any inter-institutional collaborations, while others collaborated with eight or more institutes. Some research institutes/universities conducted many studies, had an extensive collaboration network, and contributed greatly to the network of studies on Amazonian aquatic vertebrates. Our research contributes to the knowledge of studies on the subsistence and/or commercial hunting of the most exploited aquatic vertebrates of the Brazilian Amazon, illustrates the impact that collaboration networks have on research, and highlights potential areas for improvement and the

  14. Scientific authorships and collaboration network analysis on Chagas disease: papers indexed in PubMed (1940-2009).

    Science.gov (United States)

    González-Alcaide, Gregorio; Park, Jinseo; Huamaní, Charles; Gascón, Joaquín; Ramos, José Manuel

    2012-08-01

    Chagas disease is a chronic, tropical, parasitic disease, endemic throughout Latin America. The large-scale migration of populations has increased the geographic distribution of the disease and cases have been observed in many other countries around the world. To strengthen the critical mass of knowledge generated in different countries, it is essential to promote cooperative and translational research initiatives. We analyzed authorship of scientific documents on Chagas disease indexed in the Medline database from 1940 to 2009. Bibliometrics was used to analyze the evolution of collaboration patterns. A Social Network Analysis was carried out to identify the main research groups in the area by applying clustering methods. We then analyzed 13,989 papers produced by 21,350 authors. Collaboration among authors dramatically increased over the study period, reaching an average of 6.2 authors per paper in the last five-year period. Applying a threshold of collaboration of five or more papers signed in co-authorship, we identified 148 consolidated research groups made up of 1,750 authors. The Chagas disease network identified constitutes a "small world," characterized by a high degree of clustering and a notably high number of Brazilian researchers.

  15. Scientific authorship and collaboration network analysis on malaria research in Benin: papers indexed in the web of science (1996-2016).

    Science.gov (United States)

    Azondekon, Roseric; Harper, Zachary James; Agossa, Fiacre Rodrigue; Welzig, Charles Michael; McRoy, Susan

    2018-01-01

    To sustain the critical progress made, prioritization and a multidisciplinary approach to malaria research remain important to the national malaria control program in Benin. To document the structure of the malaria collaborative research in Benin, we analyze authorship of the scientific documents published on malaria from Benin. We collected bibliographic data from the Web Of Science on malaria research in Benin from January 1996 to December 2016. From the collected data, a mulitigraph co-authorship network with authors representing vertices was generated. An edge was drawn between two authors when they co-author a paper. We computed vertex degree, betweenness, closeness, and eigenvectors among others to identify prolific authors. We further assess the weak points and how information flow in the network. Finally, we perform a hierarchical clustering analysis, and Monte-Carlo simulations. Overall, 427 publications were included in this study. The generated network contained 1792 authors and 116,388 parallel edges which converted in a weighted graph of 1792 vertices and 95,787 edges. Our results suggested that prolific authors with higher degrees tend to collaborate more. The hierarchical clustering revealed 23 clusters, seven of which form a giant component containing 94% of all the vertices in the network. This giant component has all the characteristics of a small-world network with a small shortest path distance between pairs of three, a diameter of 10 and a high clustering coefficient of 0.964. However, Monte-Carlo simulations suggested our observed network is an unusual type of small-world network. Sixteen vertices were identified as weak articulation points within the network. The malaria research collaboration network in Benin is a complex network that seems to display the characteristics of a small-world network. This research reveals the presence of closed research groups where collaborative research likely happens only between members. Interdisciplinary

  16. Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns.

    Science.gov (United States)

    Pepe, Alberto; Rodriguez, Marko A

    2010-09-01

    Many investigations of scientific collaboration are based on statistical analyses of large networks constructed from bibliographic repositories. These investigations often rely on a wealth of bibliographic data, but very little or no other information about the individuals in the network, and thus, fail to illustrate the broader social and academic landscape in which collaboration takes place. In this article, we perform an in-depth longitudinal analysis of a relatively small network of scientific collaboration (N = 291) constructed from the bibliographic record of a research centerin the development and application of wireless and sensor network technologies. We perform a preliminary analysis of selected structural properties of the network, computing its range, configuration and topology. We then support our preliminary statistical analysis with an in-depth temporal investigation of the assortative mixing of selected node characteristics, unveiling the researchers' propensity to collaborate preferentially with others with a similar academic profile. Our qualitative analysis of mixing patterns offers clues as to the nature of the scientific community being modeled in relation to its organizational, disciplinary, institutional, and international arrangements of collaboration.

  17. Collaboration in scientific practice

    DEFF Research Database (Denmark)

    Wagenknecht, Susann

    2014-01-01

    This monograph investigates the collaborative creation of scientific knowledge in research groups. To do so, I combine philosophical analysis with a first-hand comparative case study of two research groups in experimental science. Qualitative data are gained through observation and interviews......, and I combine empirical insights with existing approaches to knowledge creation in philosophy of science and social epistemology. On the basis of my empirically-grounded analysis I make several conceptual contributions. I study scientific collaboration as the interaction of scientists within research...... to their publication. Specifically, I suggest epistemic difference and the porosity of social structure as two conceptual leitmotifs in the study of group collaboration. With epistemic difference, I emphasize the value of socio-cognitive heterogeneity in group collaboration. With porosity, I underline the fact...

  18. South American collaboration in scientific publications on leishmaniasis: bibliometric analysis in SCOPUS (2000-2011).

    Science.gov (United States)

    Huamaní, Charles; Romaní, Franco; González-Alcaide, Gregorio; Mejia, Miluska O; Ramos, José Manuel; Espinoza, Manuel; Cabezas, César

    2014-01-01

    Evaluate the production and the research collaborative network on Leishmaniasis in South America. A bibliometric research was carried out using SCOPUS database. The analysis unit was original research articles published from 2000 to 2011, that dealt with leishmaniasis and that included at least one South American author. The following items were obtained for each article: journal name, language, year of publication, number of authors, institutions, countries, and others variables. 3,174 articles were published, 2,272 of them were original articles. 1,160 different institutional signatures, 58 different countries and 398 scientific journals were identified. Brazil was the country with more articles (60.7%) and Oswaldo Cruz Foundation (FIOCRUZ) had 18% of Brazilian production, which is the South American nucleus of the major scientific network in Leishmaniasis. South American scientific production on Leishmaniasis published in journals indexed in SCOPUS is focused on Brazilian research activity. It is necessary to strengthen the collaboration networks. The first step is to identify the institutions with higher production, in order to perform collaborative research according to the priorities of each country.

  19. Cognitive and Social Structure of the Elite Collaboration Network of Astrophysics: A Case Study on Shifting Network Structures

    Science.gov (United States)

    Heidler, Richard

    2011-01-01

    Scientific collaboration can only be understood along the epistemic and cognitive grounding of scientific disciplines. New scientific discoveries in astrophysics led to a major restructuring of the elite network of astrophysics. To study the interplay of the epistemic grounding and the social network structure of a discipline, a mixed-methods…

  20. Collaboration tools for the global accelerator network Workshop Report

    CERN Document Server

    Agarwal, D; Olson, J

    2002-01-01

    The concept of a ''Global Accelerator Network'' (GAN) has been put forward as a means for inter-regional collaboration in the operation of internationally constructed and operated frontier accelerator facilities. A workshop was held to allow representatives of the accelerator community and of the collaboratory development community to meet and discuss collaboration tools for the GAN environment. This workshop, called the Collaboration Tools for the Global Accelerator Network (GAN) Workshop, was held on August 26, 2002 at Lawrence Berkeley National Laboratory. The goal was to provide input about collaboration tools in general and to provide a strawman for the GAN collaborative tools environment. The participants at the workshop represented accelerator physicists, high-energy physicists, operations, technology tool developers, and social scientists that study scientific collaboration.

  1. Collaboration tools for the global accelerator network: Workshop Report

    International Nuclear Information System (INIS)

    Agarwal, Deborah; Olson, Gary; Olson, Judy

    2002-01-01

    The concept of a ''Global Accelerator Network'' (GAN) has been put forward as a means for inter-regional collaboration in the operation of internationally constructed and operated frontier accelerator facilities. A workshop was held to allow representatives of the accelerator community and of the collaboratory development community to meet and discuss collaboration tools for the GAN environment. This workshop, called the Collaboration Tools for the Global Accelerator Network (GAN) Workshop, was held on August 26, 2002 at Lawrence Berkeley National Laboratory. The goal was to provide input about collaboration tools in general and to provide a strawman for the GAN collaborative tools environment. The participants at the workshop represented accelerator physicists, high-energy physicists, operations, technology tool developers, and social scientists that study scientific collaboration

  2. Evolution of coauthorship networks: worldwide scientific production on leishmaniasis

    Directory of Open Access Journals (Sweden)

    Gregorio Gonzalez-Alcaide

    2013-12-01

    Full Text Available Introduction Collaboration is one of the defining features of contemporary scientific research, and it is particularly important with regard to neglected diseases that primarily affect developing countries. Methods The present study has identified publications on leishmaniasis in the Medline database from 1945 to 2010, analyzing them according to bibliometric indicators and statistics from social network analysis. Examining aspects such as scientific production, diachronic evolution, and collaboration and configuration of the research groups in the field, we have considered the different types of Leishmania studied and the institutional affiliation and nationality of the authors. Results Seven-hundred and thirty-five authors participate in 154 prominent research clusters or groups. Although the most predominant and consolidated collaborations are characterized by members from the same country studying the same type of Leishmania, there are also notable links between authors from different countries or who study different clinical strains of the disease. Brazil took the lead in this research, with numerous Brazilian researchers heading different clusters in the center of the collaboration network. Investigators from the USA, India, and European countries, such as France, Spain, the United Kingdom, and Italy, also stand out within the network. Conclusions Research should be fostered in countries such as Bangladesh, Nepal, Sudan, and Ethiopia, where there is a high prevalence of different forms of the disease but limited research development with reference authors integrated into the collaboration networks.

  3. SOUTH AMERICAN COLLABORATION IN SCIENTIFIC PUBLICATIONS ON LEISHMANIASIS: BIBLIOMETRIC ANALYSIS IN SCOPUS (2000-2011

    Directory of Open Access Journals (Sweden)

    Charles Huamaní

    2014-09-01

    Full Text Available Objectives: Evaluate the production and the research collaborative network on Leishmaniasis in South America. Methods: A bibliometric research was carried out using SCOPUS database. The analysis unit was original research articles published from 2000 to 2011, that dealt with leishmaniasis and that included at least one South American author. The following items were obtained for each article: journal name, language, year of publication, number of authors, institutions, countries, and others variables. Results: 3,174 articles were published, 2,272 of them were original articles. 1,160 different institutional signatures, 58 different countries and 398 scientific journals were identified. Brazil was the country with more articles (60.7% and Oswaldo Cruz Foundation (FIOCRUZ had 18% of Brazilian production, which is the South American nucleus of the major scientific network in Leishmaniasis. Conclusions: South American scientific production on Leishmaniasis published in journals indexed in SCOPUS is focused on Brazilian research activity. It is necessary to strengthen the collaboration networks. The first step is to identify the institutions with higher production, in order to perform collaborative research according to the priorities of each country.

  4. Sci-Share: Social Networking Adapted for Distributed Scientific Collaboration, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — Our goal is to develop a social networking site with novel, specially designed feature sets to enable simultaneous remote collaboration and sharing of large data...

  5. Global scientific collaboration in COPD research

    Directory of Open Access Journals (Sweden)

    Su YB

    2017-01-01

    Full Text Available Yanbing Su,1 Chao Long,2 Qi Yu,1 Juan Zhang,1 Daisy Wu,3 Zhiguang Duan1 1School of Management, Shanxi Medical University, Taiyuan, People’s Republic of China; 2School of Medicine, Stanford University, Palo Alto, CA, 3Department of Molecular and Cellular Physiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA Purpose: This study aimed to investigate the multiple collaboration types, quantitatively evaluate the publication trends and review the performance of institutions or countries (regions across the world in COPD research.Materials and methods: Scientometric methods and social network analysis were used to survey the development of publication trends and understand current collaboration in the field of COPD research based on the Web of Science publications during the past 18 years.Results: The number of publications developed through different collaboration types has increased. Growth trends indicate that the percentage of papers authored through multinational and domestic multi-institutional collaboration (DMIC have also increased. However, the percentage of intra-institutional collaboration and single-authored (SA studies has reduced. The papers that produced the highest academic impact result from international collaboration. The second highest academic impact papers are produced by DMIC. Out of the three, the papers that are produced by SA studies have the least amount of impact upon the scientific community. A handful of internationally renowned institutions not only take the leading role in the development of the research within their country (region but also play a crucial role in international research collaboration in COPD. Both the amount of papers produced and the amount of cooperation that occurs in each study are disproportionally distributed between high-income countries (regions and low-income countries (regions. Growing attention has been generated toward research on COPD from more and more different

  6. Creatiing a Collaborative Research Network for Scientists

    Science.gov (United States)

    Gunn, W.

    2012-12-01

    This abstract proposes a discussion of how professional science communication and scientific cooperation can become more efficient through the use of modern social network technology, using the example of Mendeley. Mendeley is a research workflow and collaboration tool which crowdsources real-time research trend information and semantic annotations of research papers in a central data store, thereby creating a "social research network" that is emergent from the research data added to the platform. We describe how Mendeley's model can overcome barriers for collaboration by turning research papers into social objects, making academic data publicly available via an open API, and promoting more efficient collaboration. Central to the success of Mendeley has been the creation of a tool that works for the researcher without the requirement of being part of an explicit social network. Mendeley automatically extracts metadata from research papers, and allows a researcher to annotate, tag and organize their research collection. The tool integrates with the paper writing workflow and provides advanced collaboration options, thus significantly improving researchers' productivity. By anonymously aggregating usage data, Mendeley enables the emergence of social metrics and real-time usage stats on top of the articles' abstract metadata. In this way a social network of collaborators, and people genuinely interested in content, emerges. By building this research network around the article as the social object, a social layer of direct relevance to academia emerges. As science, particularly Earth sciences with their large shared resources, become more and more global, the management and coordination of research is more and more dependent on technology to support these distributed collaborations.

  7. Scientific retreats with 'speed dating': networking to stimulate new interdisciplinary translational research collaborations and team science.

    Science.gov (United States)

    Ranwala, Damayanthi; Alberg, Anthony J; Brady, Kathleen T; Obeid, Jihad S; Davis, Randal; Halushka, Perry V

    2017-02-01

    To stimulate the formation of new interdisciplinary translational research teams and innovative pilot projects, the South Carolina Clinical and Translational Research (SCTR) Institute (South Carolina Clinical and Translational Science Award, CTSA) initiated biannual scientific retreats with 'speed dating' networking sessions. Retreat themes were prioritized based on the following criteria; cross-cutting topic, unmet medical need, generation of novel technologies and methodologies. Each retreat begins with an external keynote speaker followed by a series of brief research presentations by local researchers focused on the retreat theme, articulating potential areas for new collaborations. After each session of presentations, there is a 30 min scientific 'speed dating' period during which the presenters meet with interested attendees to exchange ideas and discuss collaborations. Retreat attendees are eligible to compete for pilot project funds on the topic of the retreat theme. The 10 retreats held have had a total of 1004 participants, resulted in 61 pilot projects with new interdisciplinary teams, and 14 funded projects. The retreat format has been a successful mechanism to stimulate novel interdisciplinary research teams and innovative translational research projects. Future retreats will continue to target topics of cross-cutting importance to biomedical and public health research. Copyright © 2016 American Federation for Medical Research.

  8. Scientific Retreats with ‘Speed Dating’: Networking to Stimulate New Interdisciplinary Translational Research Collaborations and Team Science

    Science.gov (United States)

    Alberg, Anthony J.; Brady, Kathleen T.; Obeid, Jihad S.; Davis, Randal; Halushka, Perry V.

    2016-01-01

    To stimulate the formation of new interdisciplinary translational research teams and innovative pilot projects, the South Carolina Clinical & Translational Research (SCTR) Institute (South Carolina Clinical and Translational Science Award, CTSA) initiated biannual scientific retreats with “speed dating” networking sessions. Retreat themes were prioritized based on the following criteria; cross-cutting topic, unmet medical need, generation of novel technologies and methodologies. Each retreat commences with an external keynote speaker followed by a series of brief research presentations by local researchers focused on the retreat theme, articulating potential areas for new collaborations. After each session of presentations, there is a 30 minute scientific “speed dating” period during which the presenters meet with interested attendees to exchange ideas and discuss collaborations. Retreat attendees are eligible to compete for pilot project funds on the topic of the retreat theme. The 10 retreats held have had a total of 1004 participants, resulted in 61 pilot projects with new interdisciplinary teams, and 14 funded projects. The retreat format has been a successful mechanism to stimulate novel interdisciplinary research teams and innovative translational research projects. Future retreats will continue to target topics of cross-cutting importance to biomedical and public health research. PMID:27807146

  9. Study on Dynamic Evolution and the Structure of Transnational Scientific Collaborative Network——Taking Knowledge Management as an Example

    Directory of Open Access Journals (Sweden)

    Xu Yuchan

    2017-06-01

    Full Text Available [Purpose/significance] This paper aims to understand the evolution characteristics and the structure of transnational scientific collaborative network of knowledge management, and find the shortage and advantage of China. [Method/process] Through analytical methods of statistics, ecology, scientometrics and geography, the article conducted a systematic analysis on the evolution characteristics and the structure of transnational scientific collaborative network of knowledge management which was composed of the literature on knowledge management from SSCI-E and SCI database in the Web of Science during 2001-2015. [Result/conclusion] International collaborative participants are mainly distributed in Asia, Australia, and Europe and the United States. Bilateral cooperation is the main mode of international cooperation in the knowledge management. USA and UK play leading roles in the international collaborative network of knowledge management. USA is the main partner nation. China is America’s most important partner, and its leading ability is out of step with its scientific productivity.

  10. [Health-related scientific and technological capabilities and university-industry research collaboration].

    Science.gov (United States)

    Britto, Jorge; Vargas, Marco Antônio; Gadelha, Carlos Augusto Grabois; Costa, Laís Silveira

    2012-12-01

    To examine recent developments in health-related scientific capabilities, the impact of lines of incentives on reducing regional scientific imbalances, and university-industry research collaboration in Brazil. Data were obtained from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brazilian National Council for Scientific and Technological Development) databases for the years 2000 to 2010. There were assessed indicators of resource mobilization, research network structuring, and knowledge transfer between science and industry initiatives. Based on the regional distribution map of health-related scientific and technological capabilities there were identified patterns of scientific capabilities and science-industry collaboration. There was relative spatial deconcentration of health research groups and more than 6% of them worked in six areas of knowledge areas: medicine, collective health, dentistry, veterinary medicine, ecology and physical education. Lines of incentives that were adopted from 2000 to 2009 contributed to reducing regional scientific imbalances and improving preexisting capabilities or, alternatively, encouraging spatial decentralization of these capabilities. Health-related scientific and technological capabilities remain highly spatially concentrated in Brazil and incentive policies have contributed to reduce to some extent these imbalances.

  11. Collaborative networks: Reference modeling

    NARCIS (Netherlands)

    Camarinha-Matos, L.M.; Afsarmanesh, H.

    2008-01-01

    Collaborative Networks: Reference Modeling works to establish a theoretical foundation for Collaborative Networks. Particular emphasis is put on modeling multiple facets of collaborative networks and establishing a comprehensive modeling framework that captures and structures diverse perspectives of

  12. [Scientific production and cancer-related collaboration networks in Peru 2000-2011: a bibliometric study in Scopus and Science Citation Index].

    Science.gov (United States)

    Mayta-Tristán, Percy; Huamaní, Charles; Montenegro-Idrogo, Juan José; Samanez-Figari, César; González-Alcaide, Gregorio

    2013-03-01

    A bibliometric study was carried out to describe the scientific production on cancer written by Peruvians and published in international health journals, as well as to assess the scientific collaboration networks. It included articles on cancer written in Peru between the years 2000 and 2011 and published in health journals indexed in SCOPUS or Science Citation Index Expanded. In the 358 articles identified, an increase in the production was seen, from 4 articles in 2000 to 57 in 2011.The most studied types were cervical cancer (77 publications); breast cancer (53), and gastric cancer (37). The National Institute of Neoplastic Diseases (INEN) was the most productive institution (121 articles) and had the highest number of collaborations (180 different institutions). 52 clinical trials were identified, 29 of which had at least one author from INEN. We can conclude that, cancer research is increasing in Peru, the INEN being the most productive institution, with an important participation in clinical trials.

  13. Collaboration networks and research productivity at IPEN

    Energy Technology Data Exchange (ETDEWEB)

    Monteiro, Carlos Anisio; Barroso, Antonio Carlos de Oliveira, E-mail: monteiro@ipen.br, E-mail: barroso@ipen.br [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

    2015-07-01

    In this article, we investigate the IPEN's scientific collaboration network. Based on publications registered in IPEN's technical and scientific database was extracted a set of authors that developed technical and scientific work on the 2001 to 2010 period, using coauthorship to define the relationship between authors. From the data collected, we used degree centrality indicator in conjunction with two approaches to assess the relationship between collaboration and productivity: normal count, where for each publication that the author appears is added one for the author’s productivity indicator, and fractional count which is added a fractional value according to the total number of publication's authors. We concluded that collaboration for the development of a technical and scientific work has a positive correlation with the researchers productivity, that is, the greater the collaboration greater the productivity. We presented, also, a statistical summary to reveal the total number of publications and the number of IPEN's authors by publication, the average number of IPEN's authors per publication and the average number of publications by IPEN's author, the number of IPEN's authors that not published with no other author of the IPEN and, finally, the number of active and inactive (ex. retirees) researchers of the IPEN, as well as, the number of authors who do not have employment contract with the IPEN. (author)

  14. Collaboration networks and research productivity at IPEN

    International Nuclear Information System (INIS)

    Monteiro, Carlos Anisio; Barroso, Antonio Carlos de Oliveira

    2015-01-01

    In this article, we investigate the IPEN's scientific collaboration network. Based on publications registered in IPEN's technical and scientific database was extracted a set of authors that developed technical and scientific work on the 2001 to 2010 period, using coauthorship to define the relationship between authors. From the data collected, we used degree centrality indicator in conjunction with two approaches to assess the relationship between collaboration and productivity: normal count, where for each publication that the author appears is added one for the author’s productivity indicator, and fractional count which is added a fractional value according to the total number of publication's authors. We concluded that collaboration for the development of a technical and scientific work has a positive correlation with the researchers productivity, that is, the greater the collaboration greater the productivity. We presented, also, a statistical summary to reveal the total number of publications and the number of IPEN's authors by publication, the average number of IPEN's authors per publication and the average number of publications by IPEN's author, the number of IPEN's authors that not published with no other author of the IPEN and, finally, the number of active and inactive (ex. retirees) researchers of the IPEN, as well as, the number of authors who do not have employment contract with the IPEN. (author)

  15. Secure Peer-to-Peer Networks for Scientific Information Sharing

    Science.gov (United States)

    Karimabadi, Homa

    2012-01-01

    The most common means of remote scientific collaboration today includes the trio of e-mail for electronic communication, FTP for file sharing, and personalized Web sites for dissemination of papers and research results. With the growth of broadband Internet, there has been a desire to share large files (movies, files, scientific data files) over the Internet. Email has limits on the size of files that can be attached and transmitted. FTP is often used to share large files, but this requires the user to set up an FTP site for which it is hard to set group privileges, it is not straightforward for everyone, and the content is not searchable. Peer-to-peer technology (P2P), which has been overwhelmingly successful in popular content distribution, is the basis for development of a scientific collaboratory called Scientific Peer Network (SciPerNet). This technology combines social networking with P2P file sharing. SciPerNet will be a standalone application, written in Java and Swing, thus insuring portability to a number of different platforms. Some of the features include user authentication, search capability, seamless integration with a data center, the ability to create groups and social networks, and on-line chat. In contrast to P2P networks such as Gnutella, Bit Torrent, and others, SciPerNet incorporates three design elements that are critical to application of P2P for scientific purposes: User authentication, Data integrity validation, Reliable searching SciPerNet also provides a complementary solution to virtual observatories by enabling distributed collaboration and sharing of downloaded and/or processed data among scientists. This will, in turn, increase scientific returns from NASA missions. As such, SciPerNet can serve a two-fold purpose for NASA: a cost-savings software as well as a productivity tool for scientists working with data from NASA missions.

  16. Supporting Scientific Research with the Energy Sciences Network

    CERN Multimedia

    CERN. Geneva; Monga, Inder

    2016-01-01

    The Energy Sciences Network (ESnet) is a high-performance, unclassified national network built to support scientific research. Funded by the U.S. Department of Energy’s Office of Science (SC) and managed by Lawrence Berkeley National Laboratory, ESnet provides services to more than 40 DOE research sites, including the entire National Laboratory system, its supercomputing facilities, and its major scientific instruments. ESnet also connects to 140 research and commercial networks, permitting DOE-funded scientists to productively collaborate with partners around the world. ESnet Division Director (Interim) Inder Monga and ESnet Networking Engineer David Mitchell will present current ESnet projects and research activities which help support the HEP community. ESnet  helps support the CERN community by providing 100Gbps trans-Atlantic network transport for the LHCONE and LHCOPN services. ESnet is also actively engaged in researching connectivity to cloud computing resources for HEP workflows a...

  17. [Scientific productivity, collaboration and research areas in Enfermedades Infecciosas y Microbiología Clínica (2003-2007)].

    Science.gov (United States)

    González-Alcaide, Gregorio; Valderrama-Zurián, Juan Carlos; Ramos-Rincón, José Manuel

    2010-10-01

    Collaboration is essential for biomedical research. The Carlos III Health Institute (the Spanish national public organization responsible for promoting biomedical research) has encouraged scientific collaboration by promoting Thematic Networks and Cooperative Research Centres. Scientific collaboration in Enfermedades Infecciosas y Microbiología Clinica journal is investigated. Papers published in Enfermedades Infecciosas y Microbiología Clinica in the period 2002-2007 have been identified. Bibliometrics and Social Network Analysis methods have been carried out in order to quantify and characterise scientific collaboration and research areas. A total of 805 papers generated by 2,289 authors and 326 institutions have been analysed. There were 36 research groups involving 138 authors identified. The Collaboration Index for articles was 5.5. Institutional collaboration was determined in 75% of articles. The collaboration between departments or units of the same institution prevails (43%), followed by intra-regional domestic collaboration (41%) and inter-regional domestic collaboration (14%). Hospital centres were the main institutional sector responsible of research (88% of papers), with 68% of articles cited. Sida/VIH (AIDS/HIV) is the main research area (n=114), followed by Staphylococcal Infections (n=33). Notable collaboration and citation rates have been observed. Research is focused on diseases with the highest mortality rates caused by infectious diseases in Spain. Copyright © 2009 Elsevier España, S.L. All rights reserved.

  18. Designing a solution to enable agency-academic scientific collaboration for disasters

    Directory of Open Access Journals (Sweden)

    Lindley A. Mease

    2017-06-01

    Full Text Available As large-scale environmental disasters become increasingly frequent and more severe globally, people and organizations that prepare for and respond to these crises need efficient and effective ways to integrate sound science into their decision making. Experience has shown that integrating nongovernmental scientific expertise into disaster decision making can improve the quality of the response, and is most effective if the integration occurs before, during, and after a crisis, not just during a crisis. However, collaboration between academic, government, and industry scientists, decision makers, and responders is frequently difficult because of cultural differences, misaligned incentives, time pressures, and legal constraints. Our study addressed this challenge by using the Deep Change Method, a design methodology developed by Stanford ChangeLabs, which combines human-centered design, systems analysis, and behavioral psychology. We investigated underlying needs and motivations of government agency staff and academic scientists, mapped the root causes underlying the relationship failures between these two communities based on their experiences, and identified leverage points for shifting deeply rooted perceptions that impede collaboration. We found that building trust and creating mutual value between multiple stakeholders before crises occur is likely to increase the effectiveness of problem solving. We propose a solution, the Science Action Network, which is designed to address barriers to scientific collaboration by providing new mechanisms to build and improve trust and communication between government administrators and scientists, industry representatives, and academic scientists. The Science Action Network has the potential to ensure cross-disaster preparedness and science-based decision making through novel partnerships and scientific coordination.

  19. Designing a solution to enable agency-academic scientific collaboration for disasters

    Science.gov (United States)

    Mease, Lindley A.; Gibbs-Plessl, Theodora; Erickson, Ashley; Ludwig, Kristin A.; Reddy, Christopher M.; Lubchenco, Jane

    2017-01-01

    As large-scale environmental disasters become increasingly frequent and more severe globally, people and organizations that prepare for and respond to these crises need efficient and effective ways to integrate sound science into their decision making. Experience has shown that integrating nongovernmental scientific expertise into disaster decision making can improve the quality of the response, and is most effective if the integration occurs before, during, and after a crisis, not just during a crisis. However, collaboration between academic, government, and industry scientists, decision makers, and responders is frequently difficult because of cultural differences, misaligned incentives, time pressures, and legal constraints. Our study addressed this challenge by using the Deep Change Method, a design methodology developed by Stanford ChangeLabs, which combines human-centered design, systems analysis, and behavioral psychology. We investigated underlying needs and motivations of government agency staff and academic scientists, mapped the root causes underlying the relationship failures between these two communities based on their experiences, and identified leverage points for shifting deeply rooted perceptions that impede collaboration. We found that building trust and creating mutual value between multiple stakeholders before crises occur is likely to increase the effectiveness of problem solving. We propose a solution, the Science Action Network, which is designed to address barriers to scientific collaboration by providing new mechanisms to build and improve trust and communication between government administrators and scientists, industry representatives, and academic scientists. The Science Action Network has the potential to ensure cross-disaster preparedness and science-based decision making through novel partnerships and scientific coordination.

  20. Science and society: The benefits of scientific collaboration

    CERN Multimedia

    2003-01-01

    The guest speaker at the next Science and Society symposium is no stranger to CERN. He is, in fact, Sir Chris Llewellyn Smith, Director General of CERN from 1994 to 1998. His topic is one with which he is particularly familiar, having "lived" it throughout his time at CERN: international scientific collaboration and its advantages. International scientific collaboration is essential in a wide range of areas and for a large number of reasons: scientific problems have no frontiers; certain subjects are so complex that they require the expertise of numerous countries; certain types of research, such as that carried out at CERN, cannot be pursued by one nation on its own. However, scientific collaboration is not only beneficial to science itself. This is the point Chris Llewellyn Smith intends to demonstrate in his address. Scientific collaboration can help to build bridges between societies and act as a spur to the development of certain countries. It can even help to diminish conflicts in certain cases. The his...

  1. Networks of Collaboration among Scientists in a Center for Diabetes Translation Research

    Science.gov (United States)

    Harris, Jenine K.; Wong, Roger; Thompson, Kellie; Haire-Joshu, Debra; Hipp, J. Aaron

    2015-01-01

    Background Transdisciplinary collaboration is essential in addressing the translation gap between scientific discovery and delivery of evidence-based interventions to prevent and treat diabetes. We examined patterns of collaboration among scientists at the Washington University Center for Diabetes Translation Research. Methods Members (n = 56) of the Washington University Center for Diabetes Translation Research were surveyed about collaboration overall and on publications, presentations, and grants; 87.5% responded (n = 49). We used traditional and network descriptive statistics and visualization to examine the networks and exponential random graph modeling to identify predictors of collaboration. Results The 56 network members represented nine disciplines. On average, network members had been affiliated with the center for 3.86 years (s.d. = 1.41). The director was by far the most central in all networks. The overall and publication networks were the densest, while the overall and grant networks were the most centralized. The grant network was the most transdisciplinary. The presentation network was the least dense, least centralized, and least transdisciplinary. For every year of center affiliation, network members were 10% more likely to collaborate (OR: 1.10; 95% CI: 1.00–1.21) and 13% more likely to write a paper together (OR: 1.13; 95% CI: 1.02–1.25). Network members in the same discipline were over twice as likely to collaborate in the overall network (OR: 2.10; 95% CI: 1.40–3.15); however, discipline was not associated with collaboration in the other networks. Rank was not associated with collaboration in any network. Conclusions As transdisciplinary centers become more common, it is important to identify structural features, such as a central leader and ongoing collaboration over time, associated with scholarly productivity and, ultimately, with advancing science and practice. PMID:26301873

  2. UNEDF: Advanced Scientific Computing Collaboration Transforms the Low-Energy Nuclear Many-Body Problem

    International Nuclear Information System (INIS)

    Nam, H; Stoitsov, M; Nazarewicz, W; Hagen, G; Kortelainen, M; Pei, J C; Bulgac, A; Maris, P; Vary, J P; Roche, K J; Schunck, N; Thompson, I; Wild, S M

    2012-01-01

    The demands of cutting-edge science are driving the need for larger and faster computing resources. With the rapidly growing scale of computing systems and the prospect of technologically disruptive architectures to meet these needs, scientists face the challenge of effectively using complex computational resources to advance scientific discovery. Multi-disciplinary collaborating networks of researchers with diverse scientific backgrounds are needed to address these complex challenges. The UNEDF SciDAC collaboration of nuclear theorists, applied mathematicians, and computer scientists is developing a comprehensive description of nuclei and their reactions that delivers maximum predictive power with quantified uncertainties. This paper describes UNEDF and identifies attributes that classify it as a successful computational collaboration. We illustrate significant milestones accomplished by UNEDF through integrative solutions using the most reliable theoretical approaches, most advanced algorithms, and leadership-class computational resources.

  3. Facebook for scientists: requirements and services for optimizing how scientific collaborations are established.

    Science.gov (United States)

    Schleyer, Titus; Spallek, Heiko; Butler, Brian S; Subramanian, Sushmita; Weiss, Daniel; Poythress, M Louisa; Rattanathikun, Phijarana; Mueller, Gregory

    2008-08-13

    As biomedical research projects become increasingly interdisciplinary and complex, collaboration with appropriate individuals, teams, and institutions becomes ever more crucial to project success. While social networks are extremely important in determining how scientific collaborations are formed, social networking technologies have not yet been studied as a tool to help form scientific collaborations. Many currently emerging expertise locating systems include social networking technologies, but it is unclear whether they make the process of finding collaborators more efficient and effective. This study was conducted to answer the following questions: (1) Which requirements should systems for finding collaborators in biomedical science fulfill? and (2) Which information technology services can address these requirements? The background research phase encompassed a thorough review of the literature, affinity diagramming, contextual inquiry, and semistructured interviews. This phase yielded five themes suggestive of requirements for systems to support the formation of collaborations. In the next phase, the generative phase, we brainstormed and selected design ideas for formal concept validation with end users. Then, three related, well-validated ideas were selected for implementation and evaluation in a prototype. Five main themes of systems requirements emerged: (1) beyond expertise, successful collaborations require compatibility with respect to personality, work style, productivity, and many other factors (compatibility); (2) finding appropriate collaborators requires the ability to effectively search in domains other than your own using information that is comprehensive and descriptive (communication); (3) social networks are important for finding potential collaborators, assessing their suitability and compatibility, and establishing contact with them (intermediation); (4) information profiles must be complete, correct, up-to-date, and comprehensive and allow

  4. Beyond Music Sharing: An Evaluation of Peer-to-Peer Data Dissemination Techniques in Large Scientific Collaborations

    Energy Technology Data Exchange (ETDEWEB)

    Ripeanu, Matei [University of British Columbia, Vancouver; Al-Kiswany, Samer [University of British Columbia, Vancouver; Iamnitchi, Adriana [University of South Florida, Tampa; Vazhkudai, Sudharshan S [ORNL

    2009-03-01

    The avalanche of data from scientific instruments and the ensuing interest from geographically distributed users to analyze and interpret it accentuates the need for efficient data dissemination. A suitable data distribution scheme will find the delicate balance between conflicting requirements of minimizing transfer times, minimizing the impact on the network, and uniformly distributing load among participants. We identify several data distribution techniques, some successfully employed by today's peer-to-peer networks: staging, data partitioning, orthogonal bandwidth exploitation, and combinations of the above. We use simulations to explore the performance of these techniques in contexts similar to those used by today's data-centric scientific collaborations and derive several recommendations for efficient data dissemination. Our experimental results show that the peer-to-peer solutions that offer load balancing and good fault tolerance properties and have embedded participation incentives lead to unjustified costs in today's scientific data collaborations deployed on over-provisioned network cores. However, as user communities grow and these deployments scale, peer-to-peer data delivery mechanisms will likely outperform other techniques.

  5. Science in an age of globalisation : the geography of research collaboration and its effect on scientific publishing

    NARCIS (Netherlands)

    Hoekman, J.

    2012-01-01

    Although scientific knowledge is considered by many a universal and context-free product, its producers are often embedded in geographically bounded networks of research collaboration. However, in an age of globalisation these local networks of knowledge production are challenged by pressures to

  6. Analysing Scientific Collaborations of New Zealand Institutions using Scopus Bibliometric Data

    OpenAIRE

    Aref, Samin; Friggens, David; Hendy, Shaun

    2017-01-01

    Scientific collaborations are among the main enablers of development in small national science systems. Although analysing scientific collaborations is a well-established subject in scientometrics, evaluations of scientific collaborations within a country remain speculative with studies based on a limited number of fields or using data too inadequate to be representative of collaborations at a national level. This study represents a unique view on the collaborative aspect of scientific activi...

  7. Scientific collaboration: genuine and false motivators

    Directory of Open Access Journals (Sweden)

    VOLPATO, G. L.

    2013-12-01

    Full Text Available Here, I emphasize the need for collaborative research among scientists. Such collaboration should aim to address the genuine integrative need to build knowledge rather than searching for visibility based on the international prestige of a collaborator, increased productivity, or funding. Scientists must provide a valid and honest counterpart, such as a solid scientific proposal and performance, and avoid opportunistic motivators.

  8. Innovation and network collaboration

    DEFF Research Database (Denmark)

    Kesting, Peter; Müller, Sabine; Jørgensen, Frances

    2011-01-01

    Research suggests that small and medium-sized enterprises (SMEs) can benefit from network collaboration by enhancing opportunities for innovation. Managing the necessary collaboration to benefit from network participation may however be particularly challenging for SMEs due to their size...... and their inherent shortage of resources. In this paper, we propose that human resource management (HRM) practices may provide a means by which SMEs can increase their innovation capacity through network collaboration. Following a brief presentation of the relevant literature on networks, and innovation in networks...... in particular, and HRM, we analyse and evaluate the potential applicability of existing models for supporting innovation in SMEs participating in networks. Finally, we propose several lines of inquiry arising from our analysis that provide directions for future research....

  9. Research networks and scientific production in Economics: The recent spanish experience (WP)

    OpenAIRE

    Duque, Juan Carlos; Ramos Lobo, Raúl; Royuela Mora, Vicente

    2007-01-01

    This paper studies Spanish scientific production in Economics from 1994 to 2004. It focuses on aspects that have received little attention in other bibliometric studies, such as the impact of research and the role of scientific collaborations in the publications produced by Spanish universities. Our results show that national research networks have played a fundamental role in the increase in Spanish scientific production in this discipline.

  10. The Multi-Scale Network Landscape of Collaboration.

    Science.gov (United States)

    Bae, Arram; Park, Doheum; Ahn, Yong-Yeol; Park, Juyong

    2016-01-01

    Propelled by the increasing availability of large-scale high-quality data, advanced data modeling and analysis techniques are enabling many novel and significant scientific understanding of a wide range of complex social, natural, and technological systems. These developments also provide opportunities for studying cultural systems and phenomena--which can be said to refer to all products of human creativity and way of life. An important characteristic of a cultural product is that it does not exist in isolation from others, but forms an intricate web of connections on many levels. In the creation and dissemination of cultural products and artworks in particular, collaboration and communication of ideas play an essential role, which can be captured in the heterogeneous network of the creators and practitioners of art. In this paper we propose novel methods to analyze and uncover meaningful patterns from such a network using the network of western classical musicians constructed from a large-scale comprehensive Compact Disc recordings data. We characterize the complex patterns in the network landscape of collaboration between musicians across multiple scales ranging from the macroscopic to the mesoscopic and microscopic that represent the diversity of cultural styles and the individuality of the artists.

  11. Fragmented Romanian sociology: growth and structure of the collaboration network.

    Science.gov (United States)

    Hâncean, Marian-Gabriel; Perc, Matjaž; Vlăsceanu, Lazăr

    2014-01-01

    Structural patterns in collaboration networks are essential for understanding how new ideas, research practices, innovation or cooperation circulate and develop within academic communities and between and within university departments. In our research, we explore and investigate the structure of the collaboration network formed by the academics working full-time within all the 17 sociology departments across Romania. We show that the collaboration network is sparse and fragmented, and that it constitutes an environment that does not promote the circulation of new ideas and innovation within the field. Although recent years have witnessed an increase in the productivity of Romanian sociologists, there is still ample room for improvement in terms of the interaction infrastructure that ought to link individuals together so that they could maximize their potentials. We also fail to discern evidence in favor of the Matthew effect governing the growth of the network, which suggests scientific success and productivity are not rewarded. Instead, the structural properties of the collaboration network are partly those of a core-periphery network, where the spread of innovation and change can be explained by structural equivalence rather than by interpersonal influence models. We also provide support for the idea that, within the observed network, collaboration is the product of homophily rather than prestige effects. Further research on the subject based on data from other countries in the region is needed to place our results in a comparative framework, in particular to discern whether the behavior of the Romanian sociologist community is unique or rather common.

  12. Autonomy vs. dependency of scientific collaboration in scientific performance

    Energy Technology Data Exchange (ETDEWEB)

    Chinchilla-Rodriguez, Z.; Miguel, S.; Perianes-Rodriguez, A.; Ovalle-Perandones, M.A.; Olmeda-Gomez, C.

    2016-07-01

    This article explores the capacity of Latin America in the generation of scientific knowledge and its visibility at the global level. The novelty of the contribution lies in the decomposition of leadership, plus its combination with the results of performance indicators. We compare the normalized citation of all output against the leading output, as well as scientific excellence (Chinchilla, et al. 2016a; 2016b), technological impact and the trends in collaboration types and normalized citation. The main goal is to determine to what extent the main Latin American producers of scientific output depend on collaboration to heighten research performance in terms of citation; or to the contrary, whether there is enough autonomy and capacity to leverage its competitiveness through the design of research and development agendas. To the best of our knowledge this is the first study adopting this approach at the country level within the field of N&N. (Author)

  13. Scientific Collaborations: How Do We Measure the Return on Relationships?

    Science.gov (United States)

    Fair, Jeanne M.; Stokes, Martha Mangum; Pennington, Deana; Mendenhall, Ian H.

    2016-01-01

    Emerging infectious diseases (EIDs), the majority of which are zoonotic, represent a tremendous challenge for public health and biosurveillance infrastructure across the globe. Due to the complexity of zoonotic pathogens, it is essential that research and response to EIDs be a transdisciplinary effort. And while crisis and circumstance may be the initial catalyst for responding to an outbreak, we provide examples of how transdisciplinary scientific collectives, which are organized and solidified in advance of crises, can transform the way the world responds to outbreaks and in some cases could even prevent one from occurring (1). Current methods for assessing whether a cooperative engagement between countries is producing measurable and sustainable value is based on the ideas of return on investment and do not consider the inherent importance of relationships. In this article, we apply the idea of return on relationships (ROR) and propose a method for measuring ROR, using a system dynamics modeling framework commonly used in epidemiology. Tracking the numerous and diverse scientific collaborations that emerged from a training workshop for biosurveillance of bats held in Singapore in 2014, we apply a methodology for visualizing and measuring the relationship networks and outcomes that result. Additionally, the collaborative, multidisciplinary network that coalesced in response to the Hantavirus outbreak in New Mexico is 1993 is discussed as an example of the long-term benefits of ROR. PMID:26913278

  14. Computer network access to scientific information systems for minority universities

    Science.gov (United States)

    Thomas, Valerie L.; Wakim, Nagi T.

    1993-08-01

    The evolution of computer networking technology has lead to the establishment of a massive networking infrastructure which interconnects various types of computing resources at many government, academic, and corporate institutions. A large segment of this infrastructure has been developed to facilitate information exchange and resource sharing within the scientific community. The National Aeronautics and Space Administration (NASA) supports both the development and the application of computer networks which provide its community with access to many valuable multi-disciplinary scientific information systems and on-line databases. Recognizing the need to extend the benefits of this advanced networking technology to the under-represented community, the National Space Science Data Center (NSSDC) in the Space Data and Computing Division at the Goddard Space Flight Center has developed the Minority University-Space Interdisciplinary Network (MU-SPIN) Program: a major networking and education initiative for Historically Black Colleges and Universities (HBCUs) and Minority Universities (MUs). In this paper, we will briefly explain the various components of the MU-SPIN Program while highlighting how, by providing access to scientific information systems and on-line data, it promotes a higher level of collaboration among faculty and students and NASA scientists.

  15. Scientific collaboration and collective knowledge new essays

    CERN Document Server

    Mayo-Wilson, Conor; Weisberg, Michael

    2018-01-01

    Descartes once argued that, with sufficient effort and skill, a single scientist could uncover fundamental truths about our world. Contemporary science proves the limits of this claim. From synthesizing the human genome to predicting the effects of climate change, some current scientific research requires the collaboration of hundreds (if not thousands) of scientists with various specializations. Additionally, the majority of published scientific research is now co-authored, including more than 80% of articles in the natural sciences, meaning small collaborative teams have become the norm in science. This volume is the first to address critical philosophical questions regarding how collective scientific research could be organized differently and how it should be organized. For example, should scientists be required to share knowledge with competing research teams? How can universities and grant-giving institutions promote successful collaborations? When hundreds of researchers contribute to a discovery, how ...

  16. A Complexity Approach to Evaluating National Scientific Systems through International Scientific Collaborations

    Science.gov (United States)

    Zelnio, Ryan J.

    2013-01-01

    This dissertation seeks to contribute to a fuller understanding of how international scientific collaboration has affected national scientific systems. It does this by developing three methodological approaches grounded in social complexity theory and applying them to the evaluation of national scientific systems. The first methodology identifies…

  17. The Multi-Scale Network Landscape of Collaboration.

    Directory of Open Access Journals (Sweden)

    Arram Bae

    Full Text Available Propelled by the increasing availability of large-scale high-quality data, advanced data modeling and analysis techniques are enabling many novel and significant scientific understanding of a wide range of complex social, natural, and technological systems. These developments also provide opportunities for studying cultural systems and phenomena--which can be said to refer to all products of human creativity and way of life. An important characteristic of a cultural product is that it does not exist in isolation from others, but forms an intricate web of connections on many levels. In the creation and dissemination of cultural products and artworks in particular, collaboration and communication of ideas play an essential role, which can be captured in the heterogeneous network of the creators and practitioners of art. In this paper we propose novel methods to analyze and uncover meaningful patterns from such a network using the network of western classical musicians constructed from a large-scale comprehensive Compact Disc recordings data. We characterize the complex patterns in the network landscape of collaboration between musicians across multiple scales ranging from the macroscopic to the mesoscopic and microscopic that represent the diversity of cultural styles and the individuality of the artists.

  18. Collaborative e-Science Experiments and Scientific Workflows

    NARCIS (Netherlands)

    Belloum, A.; Inda, M.A.; Vasunin, D.; Korkhov, V.; Zhao, Z.; Rauwerda, H.; Breit, T.M.; Bubak, M.; Hertzberger, L.O.

    2011-01-01

    Recent advances in Internet and grid technologies have greatly enhanced scientific experiments' life cycle. In addition to compute- and data-intensive tasks, large-scale collaborations involving geographically distributed scientists and e-infrastructure are now possible. Scientific workflows, which

  19. Managing collaborative innovation networks

    DEFF Research Database (Denmark)

    Stevens, Vidar; Agger, Annika

    2017-01-01

    Collaborative innovation networks are increasingly used as vehicles for fostering innovative policy solutions. However, scholars have noted that the extent to which collaborative networks can actually contribute to the development of innovative policy solutions depends on how they are managed...... a Flemish administrative network to develop a radical new Spatial Planning Policy Plan. This study shows that the best way to manage collaborative innovation networks is not to press directly for results, but take the time to invest in relationship-building and together agree on a planning and clear process...... steps. Such a management approach allows actors to get to know each other and from thereon expand, with more background and appreciation for the others’ goals, behaviors, and intentions, their group activities concerning the formulation of a radical and innovative policy plan....

  20. Role of Scientific Societies in International Collaboration

    Science.gov (United States)

    Fucugauchi, J. U.

    2007-12-01

    Geophysical research increasingly requires global multidisciplinary approaches. Understanding how deeply interrelated are Earth components and processes, population growth, increased needs of mineral and energy resources, global impact of human activities, and view of our planet as an interconnected system emphasizes the need of international cooperation. International research collaboration has an immense potential and is needed for further development of Earth science research and education. The Union Session is planned to provide a forum for analysis and discussion of the status of research and education of geosciences in developing countries, international collaboration programs and new initiatives for promoting and strengthening scientific cooperation. A theme of particular relevance in the analyses and discussions is the role of scientific societies in international collaboration. Societies organize meetings, publish journals and books and promote cooperation through academic exchange activities. They may further assist communities in developing countries in providing and facilitating access to scientific literature, attendance to international meetings, short and long-term stays and student and young researcher mobility. What else can be done? This is a complex subject and scientific societies may not be seen independently from the many factors involved in research and education. Developing countries present additional challenges resulting from limited economic resources and social and political problems, while urgently requiring improved educational and research programs. Needed are in-depth analyses of infrastructure and human resources, and identification of major problems and needs. What are the major limitations and needs in research and postgraduate education in developing countries? What and how should international collaboration do? What are the roles of individuals, academic institutions, funding agencies, scientific societies? Here we attempt to

  1. Linking shallow, Linking deep : how scientific intermediaries use the Web for their network of collaborators

    NARCIS (Netherlands)

    Vasileiadou, E.; Besselaar, van den P.

    2006-01-01

    In this paper we explore the possibility of using Web links to study collaborations between organisations, combining the results of qualitative analysis of interviews and quantitative analysis of linking patterns. We use case studies of scientific intermediaries, that is, organisations that mediate

  2. A Collaborative Education Network for Advancing Climate Literacy using Data Visualization Technology

    Science.gov (United States)

    McDougall, C.; Russell, E. L.; Murray, M.; Bendel, W. B.

    2013-12-01

    One of the more difficult issues in engaging broad audiences with scientific research is to present it in a way that is intuitive, captivating and up-to-date. Over the past ten years, the National Oceanic and Atmospheric Administration (NOAA) has made significant progress in this area through Science On a Sphere(R) (SOS). SOS is a room-sized, global display system that uses computers and video projectors to display Earth systems data onto a six-foot diameter sphere, analogous to a giant animated globe. This well-crafted data visualization system serves as a way to integrate and display global change phenomena; including polar ice melt, projected sea level rise, ocean acidification and global climate models. Beyond a display for individual data sets, SOS provides a holistic global perspective that highlights the interconnectedness of Earth systems, nations and communities. SOS is now a featured exhibit at more than 100 science centers, museums, universities, aquariums and other institutions around the world reaching more than 33 million visitors every year. To facilitate the development of how this data visualization technology and these visualizations could be used with public audiences, we recognized the need for the exchange of information among the users. To accomplish this, we established the SOS Users Collaborative Network. This network consists of the institutions that have an SOS system or partners who are creating content and educational programming for SOS. When we began the Network in 2005, many museums had limited capacity to both incorporate real-time, authentic scientific data about the Earth system and interpret global change visualizations. They needed not only the visualization platform and the scientific content, but also assistance with methods of approach. We needed feedback from these users on how to craft understandable visualizations and how to further develop the SOS platform to support learning. Through this Network and the collaboration

  3. A Collaborative Learning Network Approach to Improvement: The CUSP Learning Network.

    Science.gov (United States)

    Weaver, Sallie J; Lofthus, Jennifer; Sawyer, Melinda; Greer, Lee; Opett, Kristin; Reynolds, Catherine; Wyskiel, Rhonda; Peditto, Stephanie; Pronovost, Peter J

    2015-04-01

    Collaborative improvement networks draw on the science of collaborative organizational learning and communities of practice to facilitate peer-to-peer learning, coaching, and local adaption. Although significant improvements in patient safety and quality have been achieved through collaborative methods, insight regarding how collaborative networks are used by members is needed. Improvement Strategy: The Comprehensive Unit-based Safety Program (CUSP) Learning Network is a multi-institutional collaborative network that is designed to facilitate peer-to-peer learning and coaching specifically related to CUSP. Member organizations implement all or part of the CUSP methodology to improve organizational safety culture, patient safety, and care quality. Qualitative case studies developed by participating members examine the impact of network participation across three levels of analysis (unit, hospital, health system). In addition, results of a satisfaction survey designed to evaluate member experiences were collected to inform network development. Common themes across case studies suggest that members found value in collaborative learning and sharing strategies across organizational boundaries related to a specific improvement strategy. The CUSP Learning Network is an example of network-based collaborative learning in action. Although this learning network focuses on a particular improvement methodology-CUSP-there is clear potential for member-driven learning networks to grow around other methods or topic areas. Such collaborative learning networks may offer a way to develop an infrastructure for longer-term support of improvement efforts and to more quickly diffuse creative sustainment strategies.

  4. Collaborative multi-layer network coding for cellular cognitive radio networks

    KAUST Repository

    Sorour, Sameh

    2013-06-01

    In this paper, we propose a prioritized multi-layer network coding scheme for collaborative packet recovery in underlay cellular cognitive radio networks. This scheme allows the collocated primary and cognitive radio base-stations to collaborate with each other, in order to minimize their own and each other\\'s packet recovery overheads, and thus improve their throughput, without any coordination between them. This non-coordinated collaboration is done using a novel multi-layer instantly decodable network coding scheme, which guarantees that each network\\'s help to the other network does not result in any degradation in its own performance. It also does not cause any violation to the primary networks interference thresholds in the same and adjacent cells. Yet, our proposed scheme both guarantees the reduction of the recovery overhead in collocated primary and cognitive radio networks, and allows early recovery of their packets compared to non-collaborative schemes. Simulation results show that a recovery overhead reduction of 15% and 40% can be achieved by our proposed scheme in the primary and cognitive radio networks, respectively, compared to the corresponding non-collaborative scheme. © 2013 IEEE.

  5. Collaborative Problem-Solving Environments; Proceedings for the Workshop CPSEs for Scientific Research, San Diego, California, June 20 to July 1, 1999

    Energy Technology Data Exchange (ETDEWEB)

    Chin, George

    1999-01-11

    A workshop on collaborative problem-solving environments (CPSEs) was held June 29 through July 1, 1999, in San Diego, California. The workshop was sponsored by the U.S. Department of Energy and the High Performance Network Applications Team of the Large Scale Networking Working Group. The workshop brought together researchers and developers from industry, academia, and government to identify, define, and discuss future directions in collaboration and problem-solving technologies in support of scientific research.

  6. Metagoverning Collaborative Innovation in Governance Networks

    DEFF Research Database (Denmark)

    Sørensen, Eva; Torfing, Jacob

    2017-01-01

    , the current wave of New Public Governance reforms perceives collaboration between relevant and affected actors from the public and private sector as the primary vehicle of public innovation, and tends to see governance networks as potential arenas for collaborative innovation. The new focus on collaborative...... innovation in networks poses a fundamental challenge for public managers, elected politicians, and others aiming to metagovern governance networks. Hence, we claim that a specific metagovernance strategy is needed when the purpose of governance networks is to stimulate efficiency, effectiveness...

  7. Zebrafish in Brazilian Science: Scientific Production, Impact, and Collaboration.

    Science.gov (United States)

    Gheno, Ediane Maria; Rosemberg, Denis Broock; Souza, Diogo Onofre; Calabró, Luciana

    2016-06-01

    By means of scientometric indicators, this study investigated the characteristics of scientific production and research collaboration involving zebrafish (Danio rerio) in Brazilian Science indexed by the Web of Science (WoS). Citation data were collected from the WoS and data regarding Impact Factor (IF) were gathered from journals in the Journal Citation Reports. Collaboration was evaluated according to coauthorship data, creating representative nets with VOSviewer. Zebrafish has attained remarkable importance as an experimental model organism in recent years and an increase in scientific production with zebrafish is observed in Brazil and around the world. The citation impact of the worldwide scientific production is superior when compared to the Brazilian scientific production. However, the citation impact of the Brazilian scientific production is consistently increasing. Brazil does not follow the international trends with regard to publication research fields. The state of Rio Grande do Sul has the greatest number of articles and the institution with the largest number of publications is Pontifícia Universidade Católica do Rio Grande do Sul. Journals' average IF is higher in Brazilian publications with international coauthorship, and around 90% of articles are collaborative. The Brazilian institutions presenting the greatest number of collaborations are Pontifícia Universidade Católica do Rio Grande do Sul, Universidade Federal do Rio Grande do Sul, Fundação Universidade Federal de Rio Grande, and Universidade de São Paulo. These data indicate that Brazilian research using zebrafish presents a growth in terms of number of publications, citation impact, and collaborative work.

  8. Sensemaking in collaborative networks

    DEFF Research Database (Denmark)

    Peronard, Jean-Paul; Brix, Jacob

    2018-01-01

    be redesigned to strengthen the collaboration between companies. To enable this discussion we delve into the sensemaking literature and theory from loosely coupled systems. Our discussion leads to the development of the Balanced Activity System (BAS) model. The paper’s key contribution is the prescriptive BAS......The purpose of the study is to advance research on open business models as activity systems (Zott and Amit, 2010) in collaborative networks. We utilize Bradley’s (1995) theory of exchange behavior to discuss how new joint activities can be explored as well as how existing activities can...... model that can be used strategically in collaborative networks to redesign or create new joint activities....

  9. An emerging view of scientific collaboration

    DEFF Research Database (Denmark)

    Hara, Noriko; Solomon, Paul; Kim, Seung Lye

    2003-01-01

    Collaboration is often a critical aspect of scientific research, which is dominated by complex problems, rapidly changing technology, dynamic growth of knowledge, and highly specialized areas of expertise. An individual scientist can seldom provide all of the expertise and resources necessary...

  10. The EGS Data Collaboration Platform: Enabling Scientific Discovery

    Energy Technology Data Exchange (ETDEWEB)

    Weers, Jonathan D [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Johnston, Henry [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Huggins, Jay V [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2018-02-14

    Collaboration in the digital age has been stifled in recent years. Reasonable responses to legitimate security concerns have created a virtual landscape of silos and fortified castles incapable of sharing information efficiently. This trend is unfortunately opposed to the geothermal scientific community's migration toward larger, more collaborative projects. To facilitate efficient sharing of information between team members from multiple national labs, universities, and private organizations, the 'EGS Collab' team has developed a universally accessible, secure data collaboration platform and has fully integrated it with the U.S. Department of Energy's (DOE) Geothermal Data Repository (GDR) and the National Geothermal Data System (NGDS). This paper will explore some of the challenges of collaboration in the modern digital age, highlight strategies for active data management, and discuss the integration of the EGS Collab data management platform with the GDR to enable scientific discovery through the timely dissemination of information.

  11. Evaluation of Remote Collaborative Manipulation for Scientific Data Analysis

    OpenAIRE

    Fleury , Cédric; Duval , Thierry; Gouranton , Valérie; Steed , Anthony

    2012-01-01

    International audience; In the context of scientific data analysis, we propose to compare a remote collaborative manipulation technique with a single user manipulation technique. The manipulation task consists in positioning a clipping plane in order to perform cross-sections of scientific data which show several points of interest located inside this data. For the remote collaborative manipulation, we have chosen to use the 3-hand manipulation technique proposed by Aguerreche et al. which is...

  12. Exploiting Publication Contents and Collaboration Networks for Collaborator Recommendation.

    Directory of Open Access Journals (Sweden)

    Xiangjie Kong

    Full Text Available Thanks to the proliferation of online social networks, it has become conventional for researchers to communicate and collaborate with each other. Meanwhile, one critical challenge arises, that is, how to find the most relevant and potential collaborators for each researcher? In this work, we propose a novel collaborator recommendation model called CCRec, which combines the information on researchers' publications and collaboration network to generate better recommendation. In order to effectively identify the most potential collaborators for researchers, we adopt a topic clustering model to identify the academic domains, as well as a random walk model to compute researchers' feature vectors. Using DBLP datasets, we conduct benchmarking experiments to examine the performance of CCRec. The experimental results show that CCRec outperforms other state-of-the-art methods in terms of precision, recall and F1 score.

  13. Mapping the dengue scientific landscape worldwide: a bibliometric and network analysis.

    Science.gov (United States)

    Mota, Fabio Batista; Fonseca, Bruna de Paula Fonseca E; Galina, Andréia Cristina; Silva, Roseli Monteiro da

    2017-05-01

    Despite the current global trend of reduction in the morbidity and mortality of neglected diseases, dengue's incidence has increased and occurrence areas have expanded. Dengue also persists as a scientific and technological challenge since there is no effective treatment, vaccine, vector control or public health intervention. Combining bibliometrics and social network analysis methods can support the mapping of dengue research and development (R&D) activities worldwide. The aim of this paper is to map the scientific scenario related to dengue research worldwide. We use scientific publication data from Web of Science Core Collection - articles indexed in Science Citation Index Expanded (SCI-EXPANDED) - and combine bibliometrics and social network analysis techniques to identify the most relevant journals, scientific references, research areas, countries and research organisations in the dengue scientific landscape. Our results show a significant increase of dengue publications over time; tropical medicine and virology as the most frequent research areas and biochemistry and molecular biology as the most central area in the network; USA and Brazil as the most productive countries; and Mahidol University and Fundação Oswaldo Cruz as the main research organisations and the Centres for Disease Control and Prevention as the most central organisation in the collaboration network. Our findings can be used to strengthen a global knowledge platform guiding policy, planning and funding decisions as well as to providing directions to researchers and institutions. So that, by offering to the scientific community, policy makers and public health practitioners a mapping of the dengue scientific landscape, this paper has aimed to contribute to upcoming debates, decision-making and planning on dengue R&D and public health strategies worldwide.

  14. Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer's disease neuroimaging initiative.

    Directory of Open Access Journals (Sweden)

    Xiaohui Yao

    Full Text Available Alzheimer's disease neuroimaging initiative (ADNI is a landmark imaging and omics study in AD. ADNI research literature has increased substantially over the past decade, which poses challenges for effectively communicating information about the results and impact of ADNI-related studies. In this work, we employed advanced information visualization techniques to perform a comprehensive and systematic mapping of the ADNI scientific growth and impact over a period of 12 years.Citation information of ADNI-related publications from 01/01/2003 to 05/12/2015 were downloaded from the Scopus database. Five fields, including authors, years, affiliations, sources (journals, and keywords, were extracted and preprocessed. Statistical analyses were performed on basic publication data as well as journal and citations information. Science mapping workflows were conducted using the Science of Science (Sci2 Tool to generate geospatial, topical, and collaboration visualizations at the micro (individual to macro (global levels such as geospatial layouts of institutional collaboration networks, keyword co-occurrence networks, and author collaboration networks evolving over time.During the studied period, 996 ADNI manuscripts were published across 233 journals and conference proceedings. The number of publications grew linearly from 2008 to 2015, so did the number of involved institutions. ADNI publications received much more citations than typical papers from the same set of journals. Collaborations were visualized at multiple levels, including authors, institutions, and research areas. The evolution of key ADNI research topics was also plotted over the studied period.Both statistical and visualization results demonstrate the increasing attention of ADNI research, strong citation impact of ADNI publications, the expanding collaboration networks among researchers, institutions and ADNI core areas, and the dynamic evolution of ADNI research topics. The visualizations

  15. Network Structure, Collaborative Context, and Individual Creativity

    DEFF Research Database (Denmark)

    Soda, Giuseppe; Stea, Diego; Pedersen, Torben

    2017-01-01

    The debate on whether bonding or bridging ties are more beneficial for acquiring knowledge that is conducive to individual creativity has mostly overlooked the context in which such ties are formed. We challenge the widespread assumption that closed, heavily bonded networks imply a collaborative...... attitude on the part of the embedded actors and propose that the level of collaboration in a network can be independent from that network’s structural characteristics, such that it moderates the effects of closed and brokering network positions on the acquisition of knowledge that supports creativity....... Individuals embedded in closed networks acquire more knowledge and become more creative when the level of collaboration in their network is high. Brokers who arbitrage information across disconnected contacts acquire more knowledge and become more creative when collaboration is low. An analysis of employee...

  16. Scientific collaboration in the Danish-German border region of Southern Jutland-Schleswig

    DEFF Research Database (Denmark)

    Makkonen, Teemu

    2015-01-01

    This paper investigates the geographical and organizational patterns of scientific collaboration, in terms of co-authored scientific articles, in the Danish-German border region of Southern Jutland-Schleswig. The motivation behind the approach lies in the fact that scientific collaboration...... of co-authored publications and, thus, the knowledge infrastructure of the border region can be considered as weakly integrated....

  17. Collaborative Networks for biodiversity domain organizations

    NARCIS (Netherlands)

    Ermilova, E.; Afsarmanesh, H.

    2010-01-01

    European scientific research and development organizations, operating in the domains of biology, ecology, and biodiversity, strongly need to cooperate/collaborate with other centers. Unavailability of interoperation infrastructure as well as the needed collaboration environment among research

  18. Measuring scientific research in emerging nano-energy field

    Science.gov (United States)

    Guan, Jiancheng; Liu, Na

    2014-04-01

    The purpose of this paper is to comprehensively explore scientific research profiles in the field of emerging nano-energy during 1991-2012 based on bibliometrics and social network analysis. We investigate the growth pattern of research output, and then carry out across countries/regions comparisons on research performances. Furthermore, we examine scientific collaboration across countries/regions by analyzing collaborative intensity and networks in 3- to 4-year intervals. Results indicate with an impressively exponential growth pattern of nano-energy articles, the world share of scientific "giants," such as the USA, Germany, England, France and Japan, display decreasing research trends, especially in the USA. Emerging economies, including China, South Korea and India, exhibit a rise in terms of the world share, illustrating strong development momentum of these countries in nano-energy research. Strikingly, China displays a remarkable rise in scientific influence rivaling Germany, Japan, France, and England in the last few years. Finally, the scientific collaborative network in nano-energy research has expanded steadily. Although the USA and several major European countries play significantly roles on scientific collaboration, China and South Korea exert great influence on scientific collaboration in recent years. The findings imply that emerging economies can earn competitive advantages in some emerging fields by properly engaging a catch-up strategy.

  19. Drawbacks and benefits associated with inter-organizational collaboration along the discovery-development-delivery continuum: a cancer research network case study.

    Science.gov (United States)

    Harris, Jenine K; Provan, Keith G; Johnson, Kimberly J; Leischow, Scott J

    2012-07-25

    The scientific process around cancer research begins with scientific discovery, followed by development of interventions, and finally delivery of needed interventions to people with cancer. Numerous studies have identified substantial gaps between discovery and delivery in health research. Team science has been identified as a possible solution for closing the discovery to delivery gap; however, little is known about effective ways of collaborating within teams and across organizations. The purpose of this study was to determine benefits and drawbacks associated with organizational collaboration across the discovery-development-delivery research continuum. Representatives of organizations working on cancer research across a state answered a survey about how they collaborated with other cancer research organizations in the state and what benefits and drawbacks they experienced while collaborating. We used exponential random graph modeling to determine the association between these benefits and drawbacks and the presence of a collaboration tie between any two network members. Different drawbacks and benefits were associated with discovery, development, and delivery collaborations. The only consistent association across all three was with the drawback of difficulty due to geographic differences, which was negatively associated with collaboration, indicating that those organizations that had collaborated were less likely to perceive a barrier related to geography. The benefit, enhanced access to other knowledge, was positive and significant in the development and delivery networks, indicating that collaborating organizations viewed improved knowledge exchange as a benefit of collaboration. 'Acquisition of additional funding or other resources' and 'development of new tools and methods' were negatively significantly related to collaboration in these networks. So, although improved knowledge access was an outcome of collaboration, more tangible outcomes were not being

  20. Co-authorship Patterns in East Asia in the Light of Regional Scientific Collaboration

    DEFF Research Database (Denmark)

    Li, Jizhen; Xiong, Hongru; Zhang, Si

    2012-01-01

    The article presents findings on scientific articles collaboration from 1985-2008 within ASEAN, China, Japna and South Korea. The study shows that regional collaboration has increased and that diffreneces between countries is decreasing.......The article presents findings on scientific articles collaboration from 1985-2008 within ASEAN, China, Japna and South Korea. The study shows that regional collaboration has increased and that diffreneces between countries is decreasing....

  1. Measuring co-authorship and networking-adjusted scientific impact.

    Directory of Open Access Journals (Sweden)

    John P A Ioannidis

    Full Text Available Appraisal of the scientific impact of researchers, teams and institutions with productivity and citation metrics has major repercussions. Funding and promotion of individuals and survival of teams and institutions depend on publications and citations. In this competitive environment, the number of authors per paper is increasing and apparently some co-authors don't satisfy authorship criteria. Listing of individual contributions is still sporadic and also open to manipulation. Metrics are needed to measure the networking intensity for a single scientist or group of scientists accounting for patterns of co-authorship. Here, I define I(1 for a single scientist as the number of authors who appear in at least I(1 papers of the specific scientist. For a group of scientists or institution, I(n is defined as the number of authors who appear in at least I(n papers that bear the affiliation of the group or institution. I(1 depends on the number of papers authored N(p. The power exponent R of the relationship between I(1 and N(p categorizes scientists as solitary (R>2.5, nuclear (R = 2.25-2.5, networked (R = 2-2.25, extensively networked (R = 1.75-2 or collaborators (R<1.75. R may be used to adjust for co-authorship networking the citation impact of a scientist. I(n similarly provides a simple measure of the effective networking size to adjust the citation impact of groups or institutions. Empirical data are provided for single scientists and institutions for the proposed metrics. Cautious adoption of adjustments for co-authorship and networking in scientific appraisals may offer incentives for more accountable co-authorship behaviour in published articles.

  2. Network chemistry, network toxicology, network informatics, and network behavioristics: A scientific outline

    OpenAIRE

    WenJun Zhang

    2016-01-01

    In present study, I proposed some new sciences: network chemistry, network toxicology, network informatics, and network behavioristics. The aims, scope and scientific foundation of these sciences are outlined.

  3. Analysis of Collaboration and Co-Citation Networks between Researchers Studying Violence Involving Women

    Science.gov (United States)

    Muñoz-Muñoz, Ana M.; Mirón-Valdivieso, M. Dolores

    2017-01-01

    Introduction: We analyse the collaboration and co-citation networks at the international level in scientific articles about violence against women. The aim is to identify who are writing about this subject, if they are women and/or men, who the most influential authors are and which institutions they belong to, and finally which authors are cited…

  4. The Influence of Ethnic Diversity on Social Network Structure in a Common-Pool Resource System: Implications for Collaborative Management

    Directory of Open Access Journals (Sweden)

    Michele Barnes-Mauthe

    2013-03-01

    Full Text Available Social networks have recently been identified as key features in facilitating or constraining collaborative arrangements that can enhance resource governance and adaptability in complex social-ecological systems. Nonetheless, the effect of ethnicity on social network structure in an ethnically diverse common-pool resource system is virtually unknown. We characterize the entire social network of Hawaii's longline fishery, an ethnically diverse competitive pelagic fishery, and investigate network homophily, network structure, and cross-scale linkages. Results show that ethnicity significantly influences social network structure and is responsible for a homophily effect, which can create challenges for stakeholder collaboration across groups. Our analysis also suggests that ethnicity influences the formation of diverse network structures, and can affect the level of linkages to outside industry leaders, government or management officials, and members of the scientific community. This study provides the first empirical examination of the impact of ethnic diversity on resource user's social networks in the common-pool resource literature, having important implications for collaborative resource management.

  5. Using Social Network Analysis to Assess Mentorship and Collaboration in a Public Health Network.

    Science.gov (United States)

    Petrescu-Prahova, Miruna; Belza, Basia; Leith, Katherine; Allen, Peg; Coe, Norma B; Anderson, Lynda A

    2015-08-20

    Addressing chronic disease burden requires the creation of collaborative networks to promote systemic changes and engage stakeholders. Although many such networks exist, they are rarely assessed with tools that account for their complexity. This study examined the structure of mentorship and collaboration relationships among members of the Healthy Aging Research Network (HAN) using social network analysis (SNA). We invited 97 HAN members and partners to complete an online social network survey that included closed-ended questions about HAN-specific mentorship and collaboration during the previous 12 months. Collaboration was measured by examining the activity of the network on 6 types of products: published articles, in-progress manuscripts, grant applications, tools, research projects, and presentations. We computed network-level measures such as density, number of components, and centralization to assess the cohesiveness of the network. Sixty-three respondents completed the survey (response rate, 65%). Responses, which included information about collaboration with nonrespondents, suggested that 74% of HAN members were connected through mentorship ties and that all 97 members were connected through at least one form of collaboration. Mentorship and collaboration ties were present both within and across boundaries of HAN member organizations. SNA of public health collaborative networks provides understanding about the structure of relationships that are formed as a result of participation in network activities. This approach may offer members and funders a way to assess the impact of such networks that goes beyond simply measuring products and participation at the individual level.

  6. Do Nobel Laureates Create Prize-Winning Networks? An Analysis of Collaborative Research in Physiology or Medicine.

    Directory of Open Access Journals (Sweden)

    Caroline S Wagner

    Full Text Available Nobel Laureates in Physiology or Medicine who received the Prize between 1969 and 2011 are compared to a matched group of scientists to examine productivity, impact, coauthorship and international collaboration patterns embedded within research networks. After matching for research domain, h-index, and year of first of publication, we compare bibliometric statistics and network measures. We find that the Laureates produce fewer papers but with higher average citations. The Laureates also produce more sole-authored papers both before and after winning the Prize. The Laureates have a lower number of coauthors across their entire careers than the matched group, but are equally collaborative on average. Further, we find no differences in international collaboration patterns. The Laureates coauthor network reveals significant differences from the non-Laureate network. Laureates are more likely to build bridges across a network when measuring by average degree, density, modularity, and communities. Both the Laureate and non-Laureate networks have "small world" properties, but the Laureates appear to exploit "structural holes" by reaching across the network in a brokerage style that may add social capital to the network. The dynamic may be making the network itself highly attractive and selective. These findings suggest new insights into the role "star scientists" in social networks and the production of scientific discoveries.

  7. AmeriFlux and EuroFlux: History of a Strong Collaboration that Provided Unique Resources to the Scientific Community

    Science.gov (United States)

    Papale, D.; Agarwal, D.; Biraud, S.; Canfora, E.; Pastorello, G.; Torn, M. S.; Trotta, C.

    2017-12-01

    In 1995 scientific communities in Europe and North America using the eddy covariance technique to measure carbon, water, and energy exchanges between the terrestrial biosphere and the atmosphere started to organize their respective regional networks. Although there was a general interest and agreement to collaborate and exchange information and data between the two communities, these mainly occurred at the single site or individual levels through direct communications rather than systematically across networks. Between 2000 and 2008 common strategies to facilitate data sharing, promote data use across the two networks, and outreach to the scientific community, started to be more deeply discussed. Early on, harmonization across networks was deemed necessary to the success of both networks. This actually required major effort including lengthy discussions, compromises, and interactions between the networks for concrete implementation of common platforms and tools. Topics such as measurement units, variable definitions and labeling, data processing methods, data sharing policy, data distribution systems and formats, were key elements that had to be addressed and agreed upon carefully to build integrated and inter-operable research infrastructures (RIs). Today, AmeriFlux and EuroFlux are the basis, not only of the continental research infrastructures (ICOS in Europe), but they are also the driving force behind FLUXNET, where other regional networks are joining this coalition and contributing to the definition of a common system to make complex measurements accessible and comparable across continents. The latest dataset produced from this collaboration includes data contributed by over 200 sites around the world, with records spanning over two decades of data, and has been downloaded by over 900 users in the first 1.5 years of its publication. The core strategy of this collaboration, critical aspects and implemented solutions, as well as the current state of this effort

  8. Obtaining informedness in collaborative networks through automated information provisioning

    DEFF Research Database (Denmark)

    Thimm, Heiko; Rasmussen, Karsten Boye

    2013-01-01

    Successful collaboration in business networks calls for well-informed network participants. Members who know about the many aspects of the network are an effective vehicle to successfully resolve conflicts, build a prospering collaboration climate and promote trust within the network. The importa......Successful collaboration in business networks calls for well-informed network participants. Members who know about the many aspects of the network are an effective vehicle to successfully resolve conflicts, build a prospering collaboration climate and promote trust within the network...... provisioning service. This article presents a corresponding modelling framework and a rule-based approach for the active system capabilities required. Details of a prototype implementation building on concepts of the research area of active databases are also reported....

  9. Implications of network structure on public health collaboratives.

    Science.gov (United States)

    Retrum, Jessica H; Chapman, Carrie L; Varda, Danielle M

    2013-10-01

    Interorganizational collaboration is an essential function of public health agencies. These partnerships form social networks that involve diverse types of partners and varying levels of interaction. Such collaborations are widely accepted and encouraged, yet very little comparative research exists on how public health partnerships develop and evolve, specifically in terms of how subsequent network structures are linked to outcomes. A systems science approach, that is, one that considers the interdependencies and nested features of networks, provides the appropriate methods to examine the complex nature of these networks. Applying Mays and Scutchfields's categorization of "structural signatures" (breadth, density, and centralization), this research examines how network structure influences the outcomes of public health collaboratives. Secondary data from the Program to Analyze, Record, and Track Networks to Enhance Relationships (www.partnertool.net) data set are analyzed. This data set consists of dyadic (N = 12,355), organizational (N = 2,486), and whole network (N = 99) data from public health collaborations around the United States. Network data are used to calculate structural signatures and weighted least squares regression is used to examine how network structures can predict selected intermediary outcomes (resource contributions, overall value and trust rankings, and outcomes) in public health collaboratives. Our findings suggest that network structure may have an influence on collaborative-related outcomes. The structural signature that had the most significant relationship to outcomes was density, with higher density indicating more positive outcomes. Also significant was the finding that more breadth creates new challenges such as difficulty in reaching consensus and creating ties with other members. However, assumptions that these structural components lead to improved outcomes for public health collaboratives may be slightly premature. Implications of

  10. Process and data fragmentation-oriented enterprise network integration with collaboration modelling and collaboration agents

    Science.gov (United States)

    Li, Qing; Wang, Ze-yuan; Cao, Zhi-chao; Du, Rui-yang; Luo, Hao

    2015-08-01

    With the process of globalisation and the development of management models and information technology, enterprise cooperation and collaboration has developed from intra-enterprise integration, outsourcing and inter-enterprise integration, and supply chain management, to virtual enterprises and enterprise networks. Some midfielder enterprises begin to serve for different supply chains. Therefore, they combine related supply chains into a complex enterprise network. The main challenges for enterprise network's integration and collaboration are business process and data fragmentation beyond organisational boundaries. This paper reviews the requirements of enterprise network's integration and collaboration, as well as the development of new information technologies. Based on service-oriented architecture (SOA), collaboration modelling and collaboration agents are introduced to solve problems of collaborative management for service convergence under the condition of process and data fragmentation. A model-driven methodology is developed to design and deploy the integrating framework. An industrial experiment is designed and implemented to illustrate the usage of developed technologies in this paper.

  11. A social epistemology of research groups collaboration in scientific practice

    CERN Document Server

    Wagenknecht, Susann

    2016-01-01

    This book investigates how collaborative scientific practice yields scientific knowledge. At a time when most of today’s scientific knowledge is created in research groups, the author reconsiders the social character of science to address the question of whether collaboratively created knowledge should be considered as collective achievement, and if so, in which sense. Combining philosophical analysis with qualitative empirical inquiry, this book provides a comparative case study of mono- and interdisciplinary research groups, offering insight into the day-to-day practice of scientists. The book includes field observations and interviews with scientists to present an empirically-grounded perspective on much-debated questions concerning research groups’ division of labor, relations of epistemic dependence and trust.

  12. Visualization analysis of author collaborations in schizophrenia research.

    Science.gov (United States)

    Wu, Ying; Duan, Zhiguang

    2015-02-19

    Schizophrenia is a serious mental illness that levies a heavy medical toll and cost burden throughout the world. Scientific collaborations are necessary for progress in psychiatric research. However, there have been few publications on scientific collaborations in schizophrenia. The aim of this study was to investigate the extent of author collaborations in schizophrenia research. This study used 58,107 records on schizophrenia from 2003 to 2012 which were downloaded from Science Citation Index Expanded (SCI Expanded) via Web of Science. CiteSpace III, an information visualization and analysis software, was used to make a visual analysis. Collaborative author networks within the field of schizophrenia were determined using published documents. We found that external author collaboration networks were more scattered while potential author collaboration networks were more compact. Results from hierarchical clustering analysis showed that the main collaborative field was genetic research in schizophrenia. Based on the results, authors belonging to different institutions and in different countries should be encouraged to collaborate in schizophrenia research. This will help researchers focus their studies on key issues, and allow each other to offer reasonable suggestions for making polices and providing scientific evidence to effectively diagnose, prevent, and cure schizophrenia.

  13. Evolution of the social network of scientific collaborations

    Science.gov (United States)

    Barabási, A. L.; Jeong, H.; Néda, Z.; Ravasz, E.; Schubert, A.; Vicsek, T.

    2002-08-01

    The co-authorship network of scientists represents a prototype of complex evolving networks. In addition, it offers one of the most extensive database to date on social networks. By mapping the electronic database containing all relevant journals in mathematics and neuro-science for an 8-year period (1991-98), we infer the dynamic and the structural mechanisms that govern the evolution and topology of this complex system. Three complementary approaches allow us to obtain a detailed characterization. First, empirical measurements allow us to uncover the topological measures that characterize the network at a given moment, as well as the time evolution of these quantities. The results indicate that the network is scale-free, and that the network evolution is governed by preferential attachment, affecting both internal and external links. However, in contrast with most model predictions the average degree increases in time, and the node separation decreases. Second, we propose a simple model that captures the network's time evolution. In some limits the model can be solved analytically, predicting a two-regime scaling in agreement with the measurements. Third, numerical simulations are used to uncover the behavior of quantities that could not be predicted analytically. The combined numerical and analytical results underline the important role internal links play in determining the observed scaling behavior and network topology. The results and methodologies developed in the context of the co-authorship network could be useful for a systematic study of other complex evolving networks as well, such as the world wide web, Internet, or other social networks.

  14. Collaborative work and social networks: assessment of university students from Alicante about collaborative work through social networks

    Directory of Open Access Journals (Sweden)

    Laura Ramos Marcillas

    2017-01-01

    Full Text Available The information and communication technologies (ICT has revolutionized education, promoting the development of collaborative work through the use of Web 2.0 tools. In this vein, social networking services gain a special importance. However, the establishment of a collaborative methodology in the university through the use of ICT tools cannot be effective without a good predisposition of students. So, the present investigation aims to know students’ perceptions about collaborative work and social networks. Specifically, the learners are studying Pre-School Education degree at Alicante's University. The goals are focused on knowing students’ attitudes about collaborative work and social networks, knowing their level of experience about these tools, and also analyzing their interest in introducing these tools in the academic world. The instrument for data gathering is a questionnaire. It concludes that the students show a positive attitude towards team work and they are interested in learning to handle some social media.

  15. Diversity of multilayer networks and its impact on collaborating epidemics

    Science.gov (United States)

    Min, Yong; Hu, Jiaren; Wang, Weihong; Ge, Ying; Chang, Jie; Jin, Xiaogang

    2014-12-01

    Interacting epidemics on diverse multilayer networks are increasingly important in modeling and analyzing the diffusion processes of real complex systems. A viral agent spreading on one layer of a multilayer network can interact with its counterparts by promoting (cooperative interaction), suppressing (competitive interaction), or inducing (collaborating interaction) its diffusion on other layers. Collaborating interaction displays different patterns: (i) random collaboration, where intralayer or interlayer induction has the same probability; (ii) concentrating collaboration, where consecutive intralayer induction is guaranteed with a probability of 1; and (iii) cascading collaboration, where consecutive intralayer induction is banned with a probability of 0. In this paper, we develop a top-bottom framework that uses only two distributions, the overlaid degree distribution and edge-type distribution, to model collaborating epidemics on multilayer networks. We then state the response of three collaborating patterns to structural diversity (evenness and difference of network layers). For viral agents with small transmissibility, we find that random collaboration is more effective in networks with higher diversity (high evenness and difference), while the concentrating pattern is more suitable in uneven networks. Interestingly, the cascading pattern requires a network with moderate difference and high evenness, and the moderately uneven coupling of multiple network layers can effectively increase robustness to resist cascading failure. With large transmissibility, however, we find that all collaborating patterns are more effective in high-diversity networks. Our work provides a systemic analysis of collaborating epidemics on multilayer networks. The results enhance our understanding of biotic and informative diffusion through multiple vectors.

  16. Institutional and scientific co-operation, networking and capacity building in the field of food safety and quality

    NARCIS (Netherlands)

    Boekel, van M.A.J.S.; Meerdink, G.; Banati, D.; Marvin, H.J.P.; Kuiper, H.A.; Houtman, C.B.

    2002-01-01

    This paper explains the situation in Hungary and The Netherlands regarding scientific co-operation, networking and capacity building in the field of food quality and safety. Specific details are given about institutional co-operation including exchanges between staff and students, collaborative

  17. Spanning Boundaries in an Arizona Watershed Partnership: Information Networks as Tools for Entrenchment or Ties for Collaboration?

    Directory of Open Access Journals (Sweden)

    Tischa A. Muñoz-Erickson

    2010-09-01

    Full Text Available The need to develop successful collaborative strategies is an enduring problem in sustainable resource management. Our goal is to evaluate the relationship between information networks and conflict in the context of collaborative groundwater management in the rapidly growing central highland region of Arizona. In this region, water-management conflicts have emerged because of stakeholders' differing geographic perspectives and competing scientific claims. Using social network analyses, we explored the extent to which the Verde River Basin Partnership (VRBP, which was charged with developing and sharing scientific information, has contributed to collaboration in the region. To accomplish this, we examined the role that this stakeholder partnership plays in reinforcing or overcoming the geographic, ideological, expert, and power conflicts among its members. Focusing on information sharing, we tested the extent to which several theoretically important elements of successful collaboration were evidenced by data from the VRBP. The structure of information sharing provides insight into ways in which barriers between diverse perspectives might be retained and elucidates weaknesses in the partnership. To characterize information sharing, we examined interaction ties among individuals with different geographic concerns, hierarchical scales of interest, belief systems (about science, the environment, and the role of the partnership, and self-identified expertise types. Results showed that the partnership's information-sharing network spans most of these boundaries. Based on current theories of collaboration, we would expect the partnership network to be conducive to collaboration. We found that information exchanges are limited by differences in connection patterns across actor expertise and environmental-belief systems. Actors who view scientists as advocates are significantly more likely to occupy boundary-spanning positions, that appear to impede the

  18. Collaborative Multi-Layer Network Coding in Hybrid Cellular Cognitive Radio Networks

    KAUST Repository

    Moubayed, Abdallah J.

    2015-05-01

    In this paper, as an extension to [1], we propose a prioritized multi-layer network coding scheme for collaborative packet recovery in hybrid (interweave and underlay) cellular cognitive radio networks. This scheme allows the uncoordinated collaboration between the collocated primary and cognitive radio base-stations in order to minimize their own as well as each other\\'s packet recovery overheads, thus by improving their throughput. The proposed scheme ensures that each network\\'s performance is not degraded by its help to the other network. Moreover, it guarantees that the primary network\\'s interference threshold is not violated in the same and adjacent cells. Yet, the scheme allows the reduction of the recovery overhead in the collocated primary and cognitive radio networks. The reduction in the cognitive radio network is further amplified due to the perfect detection of spectrum holes which allows the cognitive radio base station to transmit at higher power without fear of violating the interference threshold of the primary network. For the secondary network, simulation results show reductions of 20% and 34% in the packet recovery overhead, compared to the non-collaborative scheme, for low and high probabilities of primary packet arrivals, respectively. For the primary network, this reduction was found to be 12%. © 2015 IEEE.

  19. Properties of four real world collaboration--competition networks

    Science.gov (United States)

    Fu, Chun-Hua; Xu, Xiu-Lian; He, Da-Ren

    2009-03-01

    Our research group has empirically investigated 9 real world collaboration networks and 25 real world cooperation-competition networks. Among the 34 real world systems, all the 9 real world collaboration networks and 6 real world cooperation-competition networks show the unimodal act-size distribution and the shifted power law distribution of degree and act-degree. We have proposed a collaboration network evolution model for an explanation of the rules [1]. The other 14 real world cooperation-competition networks show that the act-size distributions are not unimodal; instead, they take qualitatively the same shifted power law forms as the degree and act-degree distributions. The properties of four systems (the main land movie film network, Beijing restaurant network, 2004 Olympic network, and Tao-Bao notebook computer sale network) are reported in detail as examples. Via a numerical simulation, we show that the new rule can still be explained by the above-mentioned model. [1] H. Chang, B. B. Su, et al. Phsica A, 2007, 383: 687-702.

  20. ICTP: A Successful Model of International Scientific Collaboration

    CERN Multimedia

    CERN. Geneva

    2012-01-01

    The importance of international scientific collaboration in the changing world where the centre of gravity of fundamental research may be moving towards the east and the south is addressed. The unique role of ICTP in supporting global science is highlighted.

  1. Scientific Collaborations: How do we Measure the Return on Relationships?

    Directory of Open Access Journals (Sweden)

    Jeanne Marie Fair

    2016-02-01

    Full Text Available Emerging infectious diseases (EIDs are a challenge for public health and biosurveillance infrastructure across the globe. These etiological agents, which cause EIDs, are primarily of zoonotic origin. Due to the complexity of zoonotic pathogens, research and response to EIDs must be a transdisciplinary effort. While crisis and circumstance may be the catalyst for responding to an outbreak, we can use the example of how transdisciplinary scientific collectives can be organized more in advance of crises, and therefore become transformative and perhaps even avert crisis (Pennington et al., 2013. Leading indicators that a cooperative engagement is producing value and is sustainable are based on the ideas of return of investment and do not regard the inherent importance of relationships. In this article, we apply the idea of return of relationships (ROR and propose a method for measuring the return of relationships, using a systems dynamics modeling framework commonly used in epidemiology. Using the scientific collaboration that emerged from the Hanta Virus outbreak of 1993 in North America and a training workshop for biosurveillance of bats held in Singapore in 2014, we apply a methodology for visualizing and measuring the relationship networks and outcomes.

  2. Forging a link between mentoring and collaboration: a new training model for implementation science.

    Science.gov (United States)

    Luke, Douglas A; Baumann, Ana A; Carothers, Bobbi J; Landsverk, John; Proctor, Enola K

    2016-10-13

    Training investigators for the rapidly developing field of implementation science requires both mentoring and scientific collaboration. Using social network descriptive analyses, visualization, and modeling, this paper presents results of an evaluation of the mentoring and collaborations fostered over time through the National Institute of Mental Health (NIMH) supported by Implementation Research Institute (IRI). Data were comprised of IRI participant self-reported collaborations and mentoring relationships, measured in three annual surveys from 2012 to 2014. Network descriptive statistics, visualizations, and network statistical modeling were conducted to examine patterns of mentoring and collaboration among IRI participants and to model the relationship between mentoring and subsequent collaboration. Findings suggest that IRI is successful in forming mentoring relationships among its participants, and that these mentoring relationships are related to future scientific collaborations. Exponential random graph network models demonstrated that mentoring received in 2012 was positively and significantly related to the likelihood of having a scientific collaboration 2 years later in 2014 (p = 0.001). More specifically, mentoring was significantly related to future collaborations focusing on new research (p = 0.009), grant submissions (p = 0.003), and publications (p = 0.017). Predictions based on the network model suggest that for every additional mentoring relationships established in 2012, the likelihood of a scientific collaboration 2 years later is increased by almost 7 %. These results support the importance of mentoring in implementation science specifically and team science more generally. Mentoring relationships were established quickly and early by the IRI core faculty. IRI fellows reported increasing scientific collaboration of all types over time, including starting new research, submitting new grants, presenting research results, and

  3. Conceptual design report for the scientific program of the super-FRS experiment collaboration

    International Nuclear Information System (INIS)

    2016-01-01

    This Conceptual Design Report (CDR) presents the plans of the Super-FRS Experiment Collaboration for a variety of experiments, which build on the versatile high-resolution separator and spectrometer performance of the Super-FRS. The characteristic feature of these experiments is the fact that they use the separator as an integral part of the measurement. These experiments build on the experience of the collaboration and their scientific program pursued at the FRS in the last 25 years, but also includes recently developed novel topics. Under these premises, the Super-FRS Experiment Collaboration has identified ten major topics of current interest and with far-reaching scientific potential. In this CDR, the scientific case is briefly recapitulated and the conceptual design of the experiments, the setups and their implementation are described. Much of the needed equipment is already available or, if not, will be realized with new, additional resources and efforts outside the FAIR Cost Books. The related R and D works and some pilot experiments can be carried out at the existing FRS of GSI in FAIR Phase-0. On the midterm, the science program of this collaboration can start at the commissioning phase of the Super-FRS and will continue on the long term with the established full performance. Accordingly, the prototype equipment and other already existing devices can be tested and used at the FRS and can later, when completed or upgraded, be moved to the Super-FRS. The related developments and organization of the Super-FRS Experiment Collaboration are described,and the collaboration partners and institutes are listed. The Super-FRS Experiment Collaboration is formally and firmly established and is a comprising part of the NUSTAR Collaboration. A large variety of modern nuclear physics experiments with new scientific possibilities and outstanding scientific potential were presented in the scientific program (GSI-Report 2014-4), which was very positively evaluated and

  4. Conceptual design report for the scientific program of the super-FRS experiment collaboration

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2016-11-01

    This Conceptual Design Report (CDR) presents the plans of the Super-FRS Experiment Collaboration for a variety of experiments, which build on the versatile high-resolution separator and spectrometer performance of the Super-FRS. The characteristic feature of these experiments is the fact that they use the separator as an integral part of the measurement. These experiments build on the experience of the collaboration and their scientific program pursued at the FRS in the last 25 years, but also includes recently developed novel topics. Under these premises, the Super-FRS Experiment Collaboration has identified ten major topics of current interest and with far-reaching scientific potential. In this CDR, the scientific case is briefly recapitulated and the conceptual design of the experiments, the setups and their implementation are described. Much of the needed equipment is already available or, if not, will be realized with new, additional resources and efforts outside the FAIR Cost Books. The related R and D works and some pilot experiments can be carried out at the existing FRS of GSI in FAIR Phase-0. On the midterm, the science program of this collaboration can start at the commissioning phase of the Super-FRS and will continue on the long term with the established full performance. Accordingly, the prototype equipment and other already existing devices can be tested and used at the FRS and can later, when completed or upgraded, be moved to the Super-FRS. The related developments and organization of the Super-FRS Experiment Collaboration are described,and the collaboration partners and institutes are listed. The Super-FRS Experiment Collaboration is formally and firmly established and is a comprising part of the NUSTAR Collaboration. A large variety of modern nuclear physics experiments with new scientific possibilities and outstanding scientific potential were presented in the scientific program (GSI-Report 2014-4), which was very positively evaluated and

  5. Behavioral aspects in collaborative enterprise networks

    NARCIS (Netherlands)

    Camarinha-Matos, L.M.; Afsarmanesh, H.

    2011-01-01

    The collaborative networks paradigm can empower enterprises with the needed agility and survival capability to face market turbulence. However, the success and sustainability of collaboration requires proper understanding and modeling of the involved behavioral aspects, a basis for sound development

  6. Collaborative Trust Networks in Engineering Design Adaptation

    DEFF Research Database (Denmark)

    Atkinson, Simon Reay; Maier, Anja; Caldwell, Nicholas

    2011-01-01

    ); applying the Change Prediction Method (CPM) tool. It posits the idea of the ‘Networks-in-Being’ with varying individual and collective characteristics. [Social] networks are considered to facilitate information exchange between actors. At the same time, networks failing to provide trusted-information can...... hinder effective communication and collaboration. Different combinations of trust may therefore improve or impair the likelihood of information flow, transfer and subsequent action (cause and effect). This paper investigates how analysing different types of network-structures-in-being can support......Within organisations, decision makers have to rely on collaboration with other actors from different disciplines working within highly dynamic and distributed associated networks of varying size and scales. This paper develops control and influence networks within Design Structure Matrices (DSM...

  7. Collaborative In-Network Processing for Target Tracking

    Directory of Open Access Journals (Sweden)

    Juan Liu

    2003-03-01

    Full Text Available This paper presents a class of signal processing techniques for collaborative signal processing in ad hoc sensor networks, focusing on a vehicle tracking application. In particular, we study two types of commonly used sensors—acoustic-amplitude sensors for target distance estimation and direction-of-arrival sensors for bearing estimation—and investigate how networks of such sensors can collaborate to extract useful information with minimal resource usage. The information-driven sensor collaboration has several advantages: tracking is distributed, and the network is energy-efficient, activated only on a when-needed basis. We demonstrate the effectiveness of the approach to target tracking using both simulation and field data.

  8. Brazilian Network on Global Climate Change Research (Rede CLIMA: structure, scientific advances and future prospects

    Directory of Open Access Journals (Sweden)

    Eduardo Moraes Arraut

    2013-01-01

    Full Text Available In order to create the necessary scientific knowledge for Brazil to understand and deal with the causes and consequences of climate change, the federal government created, in 2007, the Brazilian Network on Global Climate Change Research (Rede CLIMA. Rede CLIMA needs to discuss issues, pose questions, develop methodologies and technological products, find answers, and suggest solutions that are relevant to society. In its first phase, it focused mainly on providing infrastructure and consolidating the sub-networks. Several scientific advances were also achieved, a selection of which are presented in sections focusing on climate modelling, agriculture, energy and water, human development and mobility, biodiversity and ecosystem services, and human health. Now, in its second phase, the objective is to straighten collaboration between sub-networks by means of interdisciplinary projects. It is argued that in order to succeed the Network needs to foster research whose merit is measured not exclusively by academic production.

  9. Value Systems Alignment Analysis in Collaborative Networked Organizations Management

    OpenAIRE

    Patricia Macedo; Luis Camarinha-Matos

    2017-01-01

    The assessment of value systems alignment can play an important role in the formation and evolution of collaborative networks, contributing to reduce potential risks of collaboration. For this purpose, an assessment tool is proposed as part of a collaborative networks information system, supporting both the formation and evolution of long-term strategic alliances and goal-oriented networks. An implementation approach for value system alignment analysis is described, which is intended to assis...

  10. Collective Competence and Social Capital Analysis in Collaborative Networks

    Directory of Open Access Journals (Sweden)

    Janaina Macke

    2010-06-01

    Full Text Available The present paper addresses the issue of collective competence and social capital analysis for collaborative networks. The objective of the project is to understand how collaborative networks can be influenced considering the perspective of social capital and core competences. In this model we defend the emphasis on endogenous resources, once the technology is, in a general way, accessible to most of the companies and, therefore will not be a long term competitive advantage. The model shows that collaborative networks will be more competitive and successful if they invest in to core elements that are: organizational culture and people. Therefore, the model contributes for the researches in socio-organizational filed and provides a tool to evaluate collaborative networks.

  11. Long-running telemedicine networks delivering humanitarian services: experience, performance and scientific output

    Science.gov (United States)

    Geissbuhler, Antoine; Jethwani, Kamal; Kovarik, Carrie; Person, Donald A; Vladzymyrskyy, Anton; Zanaboni, Paolo; Zolfo, Maria

    2012-01-01

    Abstract Objective To summarize the experience, performance and scientific output of long-running telemedicine networks delivering humanitarian services. Methods Nine long-running networks – those operating for five years or more– were identified and seven provided detailed information about their activities, including performance and scientific output. Information was extracted from peer-reviewed papers describing the networks’ study design, effectiveness, quality, economics, provision of access to care and sustainability. The strength of the evidence was scored as none, poor, average or good. Findings The seven networks had been operating for a median of 11 years (range: 5–15). All networks provided clinical tele-consultations for humanitarian purposes using store-and-forward methods and five were also involved in some form of education. The smallest network had 15 experts and the largest had more than 500. The clinical caseload was 50 to 500 cases a year. A total of 59 papers had been published by the networks, and 44 were listed in Medline. Based on study design, the strength of the evidence was generally poor by conventional standards (e.g. 29 papers described non-controlled clinical series). Over half of the papers provided evidence of sustainability and improved access to care. Uncertain funding was a common risk factor. Conclusion Improved collaboration between networks could help attenuate the lack of resources reported by some networks and improve sustainability. Although the evidence base is weak, the networks appear to offer sustainable and clinically useful services. These findings may interest decision-makers in developing countries considering starting, supporting or joining similar telemedicine networks. PMID:22589567

  12. Collaborative Multi-Layer Network Coding For Hybrid Cellular Cognitive Radio Networks

    KAUST Repository

    Moubayed, Abdallah J.

    2014-05-01

    In this thesis, as an extension to [1], we propose a prioritized multi-layer network coding scheme for collaborative packet recovery in hybrid (interweave and underlay) cellular cognitive radio networks. This scheme allows the uncoordinated collaboration between the collocated primary and cognitive radio base-stations in order to minimize their own as well as each other’s packet recovery overheads, thus by improving their throughput. The proposed scheme ensures that each network’s performance is not degraded by its help to the other network. Moreover, it guarantees that the primary network’s interference threshold is not violated in the same and adjacent cells. Yet, the scheme allows the reduction of the recovery overhead in the collocated primary and cognitive radio networks. The reduction in the cognitive radio network is further amplified due to the perfect detection of spectrum holes which allows the cognitive radio base station to transmit at higher power without fear of violating the interference threshold of the primary network. For the secondary network, simulation results show reductions of 20% and 34% in the packet recovery overhead, compared to the non-collaborative scheme, for low and high probabilities of primary packet arrivals, respectively. For the primary network, this reduction was found to be 12%. Furthermore, with the use of fractional cooperation, the average recovery overhead is further reduced by around 5% for the primary network and around 10% for the secondary network when a high fractional cooperation probability is used.

  13. Fast 3D Net Expeditions: Tools for Effective Scientific Collaboration on the World Wide Web

    Science.gov (United States)

    Watson, Val; Chancellor, Marisa K. (Technical Monitor)

    1996-01-01

    Two new technologies, the FASTexpedition and Remote FAST, have been developed that provide remote, 3D (three dimensional), high resolution, dynamic, interactive viewing of scientific data. The FASTexpedition permits one to access scientific data from the World Wide Web, take guided expeditions through the data, and continue with self controlled expeditions through the data. Remote FAST permits collaborators at remote sites to simultaneously view an analysis of scientific data being controlled by one of the collaborators. Control can be transferred between sites. These technologies are now being used for remote collaboration in joint university, industry, and NASA projects. Also, NASA Ames Research Center has initiated a project to make scientific data and guided expeditions through the data available as FASTexpeditions on the World Wide Web for educational purposes. Previously, remote visualization of dynamic data was done using video format (transmitting pixel information) such as video conferencing or MPEG (Motion Picture Expert Group) movies on the Internet. The concept for this new technology is to send the raw data (e.g., grids, vectors, and scalars) along with viewing scripts over the Internet and have the pixels generated by a visualization tool running on the viewers local workstation. The visualization tool that is currently used is FAST (Flow Analysis Software Toolkit). The advantages of this new technology over using video format are: (1) The visual is much higher in resolution (1280x1024 pixels with 24 bits of color) than typical video format transmitted over the network. (2) The form of the visualization can be controlled interactively (because the viewer is interactively controlling the visualization tool running on his workstation). (3) A rich variety of guided expeditions through the data can be included easily. (4) A capability is provided for other sites to see a visual analysis of one site as the analysis is interactively performed. Control of

  14. Science as a Common Language in a Globalised World - Scientific Collaboration Promoting Progress, Building Bridges

    CERN Multimedia

    CERN. Geneva. Audiovisual Unit

    2003-01-01

    International scientific collaboration and co-operation can accelerate the progress of science, help build bridges between diverse societies, and foster the development of science and technology in non-industrialised countries. This is possible because science is a common language (although the progress of science is often influenced by non-scientific factors). I shall describe examples of the role that scientific collaboration can play in bridge building and in conflict resolution. I shall then present a proposal for "Bridge Building Fellowships" which would contribute to strengthening scientific capacity in developing countries by helping to stem the brain drain and providing a basis for collaborations with scientists in industrialised countries.

  15. Collaborative neighbour monitoring in TV white space networks

    CSIR Research Space (South Africa)

    Takyi, A

    2016-09-01

    Full Text Available Collaborative sensing among secondary users in television white space (cognitive radio) networks can considerably increase the probability of detecting primary or secondary users. In current collaborative sensing schemes, all collaborative secondary...

  16. Analyzing collaboration networks and developmental patterns of nano-enabled drug delivery (NEDD for brain cancer

    Directory of Open Access Journals (Sweden)

    Ying Huang

    2015-07-01

    Full Text Available The rapid development of new and emerging science & technologies (NESTs brings unprecedented challenges, but also opportunities. In this paper, we use bibliometric and social network analyses, at country, institution, and individual levels, to explore the patterns of scientific networking for a key nano area – nano-enabled drug delivery (NEDD. NEDD has successfully been used clinically to modulate drug release and to target particular diseased tissues. The data for this research come from a global compilation of research publication information on NEDD directed at brain cancer. We derive a family of indicators that address multiple facets of research collaboration and knowledge transfer patterns. Results show that: (1 international cooperation is increasing, but networking characteristics change over time; (2 highly productive institutions also lead in influence, as measured by citation to their work, with American institutes leading; (3 research collaboration is dominated by local relationships, with interesting information available from authorship patterns that go well beyond journal impact factors. Results offer useful technical intelligence to help researchers identify potential collaborators and to help inform R&D management and science & innovation policy for such nanotechnologies.

  17. Expanding NASA and Roscosmos Scientific Collaboration on the International Space Station

    Science.gov (United States)

    Hasbrook, Pete

    2016-01-01

    The International Space Station (ISS) is a world-class laboratory orbiting in space. NASA and Roscosmos have developed a strong relationship through the ISS Program Partnership, working together and with the other ISS Partners for more than twenty years. Since 2013, based on a framework agreement between the Program Managers, NASA and Roscosmos are building a joint program of collaborative research on ISS. This international collaboration is developed and implemented in phases. Initially, members of the ISS Program Science Forum from NASA and TsNIIMash (representing Roscosmos) identified the first set of NASA experiments that could be implemented in the "near term". The experiments represented the research categories of Technology Demonstration, Microbiology, and Education. Through these experiments, the teams from the "program" and "operations" communities learned to work together to identify collaboration opportunities, establish agreements, and jointly plan and execute the experiments. The first joint scientific activity on ISS occurred in January 2014, and implementation of these joint experiments continues through present ISS operations. NASA and TsNIIMash have proceeded to develop "medium term" collaborations, where scientists join together to improve already-proposed experiments. A major success is the joint One-Year Mission on ISS, with astronaut Scott Kelly and cosmonaut Mikhail Kornienko, who returned from ISS in March, 2016. The teams from the NASA Human Research Program and the RAS Institute for Biomedical Problems built on their considerable experience to design joint experiments, learn to work with each other's protocols and processes, and share medical and research data. New collaborations are being developed between American and Russian scientists in complex fluids, robotics, rodent research and space biology, and additional human research. Collaborations are also being developed in Earth Remote Sensing, where scientists will share data from imaging

  18. Network-based stochastic competitive learning approach to disambiguation in collaborative networks

    Science.gov (United States)

    Christiano Silva, Thiago; Raphael Amancio, Diego

    2013-03-01

    Many patterns have been uncovered in complex systems through the application of concepts and methodologies of complex networks. Unfortunately, the validity and accuracy of the unveiled patterns are strongly dependent on the amount of unavoidable noise pervading the data, such as the presence of homonymous individuals in social networks. In the current paper, we investigate the problem of name disambiguation in collaborative networks, a task that plays a fundamental role on a myriad of scientific contexts. In special, we use an unsupervised technique which relies on a particle competition mechanism in a networked environment to detect the clusters. It has been shown that, in this kind of environment, the learning process can be improved because the network representation of data can capture topological features of the input data set. Specifically, in the proposed disambiguating model, a set of particles is randomly spawned into the nodes constituting the network. As time progresses, the particles employ a movement strategy composed of a probabilistic convex mixture of random and preferential walking policies. In the former, the walking rule exclusively depends on the topology of the network and is responsible for the exploratory behavior of the particles. In the latter, the walking rule depends both on the topology and the domination levels that the particles impose on the neighboring nodes. This type of behavior compels the particles to perform a defensive strategy, because it will force them to revisit nodes that are already dominated by them, rather than exploring rival territories. Computer simulations conducted on the networks extracted from the arXiv repository of preprint papers and also from other databases reveal the effectiveness of the model, which turned out to be more accurate than traditional clustering methods.

  19. XSIM Final Report: Modelling the Past and Future of Identity Management for Scientific Collaborations

    Energy Technology Data Exchange (ETDEWEB)

    Cowles, Robert; Jackson, Craig; Welch, Von

    2016-08-31

    The eXtreme Science Identity Management (XSIM1) research project: collected and analyzed real world data on virtual organization (VO) identity management (IdM) representing the last 15+ years of collaborative DOE science; constructed a descriptive VO IdM model based on that data; used the model and existing trends to project the direction for IdM in the 2020 timeframe; and provided guidance to scientific collaborations and resource providers that are implementing or seeking to improve IdM functionality. XSIM conducted over 20 semi­structured interviews of representatives from scientific collaborations and resource providers, both in the US and Europe; the interviewees supported diverse set of scientific collaborations and disciplines. We developed a definition of “trust,” a key concept in IdM, to understand how varying trust models affect where IdM functions are performed. The model identifies how key IdM data elements are utilized in collaborative scientific workflows, and it has the flexibility to describe past, present and future trust relationships and IdM implementations. During the funding period, we gave more than two dozen presentations to socialize our work, encourage feedback, and improve the model; we also published four refereed papers. Additionally, we developed, presented, and received favorable feedback on three white papers providing practical advice to collaborations and/or resource providers.

  20. Evolutionary convergence of the patterns of international research collaborations across scientific fields

    NARCIS (Netherlands)

    Wang, L.; Coccia, M.

    2015-01-01

    Frame and Carpenter (1979) analysed the pattern of international research collaboration among scientific fields in 1970s. Starting from this pioneering work, this paper investigates international collaborations over 1997-2012 and compares the critical results with earlier studies to detect the

  1. Mentoring perception, scientific collaboration and research performance: is there a 'gender gap' in academic medicine? An Academic Health Science Centre perspective.

    Science.gov (United States)

    Athanasiou, Thanos; Patel, Vanash; Garas, George; Ashrafian, Hutan; Hull, Louise; Sevdalis, Nick; Harding, Sian; Darzi, Ara; Paroutis, Sotirios

    2016-10-01

    The 'gender gap' in academic medicine remains significant and predominantly favours males. This study investigates gender disparities in research performance in an Academic Health Science Centre, while considering factors such as mentoring and scientific collaboration. Professorial registry-based electronic survey (n=215) using bibliometric data, a mentoring perception survey and social network analysis. Survey outcomes were aggregated with measures of research performance (publications, citations and h-index) and measures of scientific collaboration (authorship position, centrality and social capital). Univariate and multivariate regression models were constructed to evaluate inter-relationships and identify gender differences. One hundred and four professors responded (48% response rate). Males had a significantly higher number of previous publications than females (mean 131.07 (111.13) vs 79.60 (66.52), p=0.049). The distribution of mentoring survey scores between males and females was similar for the quality and frequency of shared core, mentor-specific and mentee-specific skills. In multivariate analysis including gender as a variable, the quality of managing the relationship, frequency of providing corrective feedback and frequency of building trust had a statistically significant positive influence on number of publications (all presearch to investigate the relationship between mentoring perception, scientific collaboration and research performance in the context of gender. It presents a series of initiatives that proved effective in marginalising the gender gap. These include the Athena Scientific Women's Academic Network charter, new recruitment and advertisement strategies, setting up a 'Research and Family Life' forum, establishing mentoring circles for women and projecting female role models. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  2. Facilitative Components of Collaborative Learning: A Review of Nine Health Research Networks.

    Science.gov (United States)

    Leroy, Lisa; Rittner, Jessica Levin; Johnson, Karin E; Gerteis, Jessie; Miller, Therese

    2017-02-01

    Collaborative research networks are increasingly used as an effective mechanism for accelerating knowledge transfer into policy and practice. This paper explored the characteristics and collaborative learning approaches of nine health research networks. Semi-structured interviews with representatives from eight diverse US health services research networks conducted between November 2012 and January 2013 and program evaluation data from a ninth. The qualitative analysis assessed each network's purpose, duration, funding sources, governance structure, methods used to foster collaboration, and barriers and facilitators to collaborative learning. The authors reviewed detailed notes from the interviews to distill salient themes. Face-to-face meetings, intentional facilitation and communication, shared vision, trust among members and willingness to work together were key facilitators of collaborative learning. Competing priorities for members, limited funding and lack of long-term support and geographic dispersion were the main barriers to coordination and collaboration across research network members. The findings illustrate the importance of collaborative learning in research networks and the challenges to evaluating the success of research network functionality. Conducting readiness assessments and developing process and outcome evaluation metrics will advance the design and show the impact of collaborative research networks. Copyright © 2017 Longwoods Publishing.

  3. Research on Biodiversity and Climate Change at a Distance: Collaboration Networks between Europe and Latin America and the Caribbean.

    Directory of Open Access Journals (Sweden)

    Olivier Dangles

    Full Text Available Biodiversity loss and climate change are both globally significant issues that must be addressed through collaboration across countries and disciplines. With the December 2015 COP21 climate conference in Paris and the recent creation of the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES, it has become critical to evaluate the capacity for global research networks to develop at the interface between biodiversity and climate change. In the context of the European Union (EU strategy to stand as a world leader in tackling global challenges, the European Commission has promoted ties between the EU and Latin America and the Caribbean (LAC in science, technology and innovation. However, it is not clear how these significant interactions impact scientific cooperation at the interface of biodiversity and climate change. We looked at research collaborations between two major regions-the European Research Area (ERA and LAC-that addressed both biodiversity and climate change. We analysed the temporal evolution of these collaborations, whether they were led by ERA or LAC teams, and which research domains they covered. We surveyed publications listed on the Web of Science that were authored by researchers from both the ERA and LAC and that were published between 2003 and 2013. We also run similar analyses on other topics and other continents to provide baseline comparisons. Our results revealed a steady increase in scientific co-authorships between ERA and LAC countries as a result of the increasingly complex web of relationships that has been weaved among scientists from the two regions. The ERA-LAC co-authorship increase for biodiversity and climate change was higher than those reported for other topics and for collaboration with other continents. We also found strong differences in international collaboration patterns within the LAC: co-publications were fewest from researchers in low- and lower-middle-income countries and most

  4. Research on Biodiversity and Climate Change at a Distance: Collaboration Networks between Europe and Latin America and the Caribbean.

    Science.gov (United States)

    Dangles, Olivier; Loirat, Jean; Freour, Claire; Serre, Sandrine; Vacher, Jean; Le Roux, Xavier

    2016-01-01

    Biodiversity loss and climate change are both globally significant issues that must be addressed through collaboration across countries and disciplines. With the December 2015 COP21 climate conference in Paris and the recent creation of the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES), it has become critical to evaluate the capacity for global research networks to develop at the interface between biodiversity and climate change. In the context of the European Union (EU) strategy to stand as a world leader in tackling global challenges, the European Commission has promoted ties between the EU and Latin America and the Caribbean (LAC) in science, technology and innovation. However, it is not clear how these significant interactions impact scientific cooperation at the interface of biodiversity and climate change. We looked at research collaborations between two major regions-the European Research Area (ERA) and LAC-that addressed both biodiversity and climate change. We analysed the temporal evolution of these collaborations, whether they were led by ERA or LAC teams, and which research domains they covered. We surveyed publications listed on the Web of Science that were authored by researchers from both the ERA and LAC and that were published between 2003 and 2013. We also run similar analyses on other topics and other continents to provide baseline comparisons. Our results revealed a steady increase in scientific co-authorships between ERA and LAC countries as a result of the increasingly complex web of relationships that has been weaved among scientists from the two regions. The ERA-LAC co-authorship increase for biodiversity and climate change was higher than those reported for other topics and for collaboration with other continents. We also found strong differences in international collaboration patterns within the LAC: co-publications were fewest from researchers in low- and lower-middle-income countries and most prevalent from

  5. Electronic collaboration in dermatology resident training through social networking.

    Science.gov (United States)

    Meeks, Natalie M; McGuire, April L; Carroll, Bryan T

    2017-04-01

    The use of online educational resources and professional social networking sites is increasing. The field of dermatology is currently under-utilizing online social networking as a means of professional collaboration and sharing of training materials. In this study, we sought to assess the current structure of and satisfaction with dermatology resident education and gauge interest for a professional social networking site for educational collaboration. Two surveys-one for residents and one for faculty-were electronically distributed via the American Society for Dermatologic Surgery and Association of Professors of Dermatology (APD) listserves. The surveys confirmed that there is interest among dermatology residents and faculty in a dermatology professional networking site with the goal to enhance educational collaboration.

  6. Collaborative Recurrent Neural Networks forDynamic Recommender Systems

    Science.gov (United States)

    2016-11-22

    JMLR: Workshop and Conference Proceedings 63:366–381, 2016 ACML 2016 Collaborative Recurrent Neural Networks for Dynamic Recommender Systems Young...an unprece- dented scale. Although such activity logs are abundantly available, most approaches to recommender systems are based on the rating...Recurrent Neural Network, Recommender System , Neural Language Model, Collaborative Filtering 1. Introduction As ever larger parts of the population

  7. Social networks as ICT collaborative and supportive learning media ...

    African Journals Online (AJOL)

    ... ICT collaborative and supportive learning media utilisation within the Nigerian educational system. The concept of ICT was concisely explained vis-à-vis the social network concept, theory and collaborative and supportive learning media utilisation. Different types of social network are highlighted among which Facebook, ...

  8. Measuring co-authorship and networking-adjusted scientific impact.

    Science.gov (United States)

    Ioannidis, John P A

    2008-07-23

    Appraisal of the scientific impact of researchers, teams and institutions with productivity and citation metrics has major repercussions. Funding and promotion of individuals and survival of teams and institutions depend on publications and citations. In this competitive environment, the number of authors per paper is increasing and apparently some co-authors don't satisfy authorship criteria. Listing of individual contributions is still sporadic and also open to manipulation. Metrics are needed to measure the networking intensity for a single scientist or group of scientists accounting for patterns of co-authorship. Here, I define I(1) for a single scientist as the number of authors who appear in at least I(1) papers of the specific scientist. For a group of scientists or institution, I(n) is defined as the number of authors who appear in at least I(n) papers that bear the affiliation of the group or institution. I(1) depends on the number of papers authored N(p). The power exponent R of the relationship between I(1) and N(p) categorizes scientists as solitary (R>2.5), nuclear (R = 2.25-2.5), networked (R = 2-2.25), extensively networked (R = 1.75-2) or collaborators (Raccountable co-authorship behaviour in published articles.

  9. A simulation approach to assess partners selected for a collaborative network

    NARCIS (Netherlands)

    Andres, B.; Poler, R.; Camarinha-Matos, L.M.; Afsarmanesh, H.

    Manufacturing enterprises are increasingly more aware of the importance of establishing collaborative relationships with their network partners, due to the advantages associated to collaboration. Nevertheless, the participation in a collaborative network (CN) comes with associated challenges, namely

  10. Value Systems Alignment Analysis in Collaborative Networked Organizations Management

    Directory of Open Access Journals (Sweden)

    Patricia Macedo

    2017-11-01

    Full Text Available The assessment of value systems alignment can play an important role in the formation and evolution of collaborative networks, contributing to reduce potential risks of collaboration. For this purpose, an assessment tool is proposed as part of a collaborative networks information system, supporting both the formation and evolution of long-term strategic alliances and goal-oriented networks. An implementation approach for value system alignment analysis is described, which is intended to assist managers in virtual and networked organizations management. The implementation of the assessment and analysis methods is supported by a set of software services integrated in the information system that supports the management of the networked organizations. A case study in the solar energy sector was conducted, and the data collected through this study allow us to confirm the practical applicability of the proposed methods and the software services.

  11. Scientific Production on Open Access: A Worldwide Bibliometric Analysis in the Academic and Scientific Context

    Directory of Open Access Journals (Sweden)

    Sandra Miguel

    2016-01-01

    Full Text Available This research aims to diachronically analyze the worldwide scientific production on open access, in the academic and scientific context, in order to contribute to knowledge and visualization of its main actors. As a method, bibliographical, descriptive and analytical research was used, with the contribution of bibliometric studies, especially the production indicators, scientific collaboration and indicators of thematic co-occurrence. The Scopus database was used as a source to retrieve the articles on the subject, with a resulting corpus of 1179 articles. Using Bibexcel software, frequency tables were constructed for the variables, and Pajek software was used to visualize the collaboration network and VoSViewer for the construction of the keywords’ network. As for the results, the most productive researchers come from countries such as the United States, Canada, France and Spain. Journals with higher impact in the academic community have disseminated the new constructed knowledge. A collaborative network with a few subnets where co-authors are from different countries has been observed. As conclusions, this study allows identifying the themes of debates that mark the development of open access at the international level, and it is possible to state that open access is one of the new emerging and frontier fields of library and information science.

  12. Collaborative Multi-Layer Network Coding in Hybrid Cellular Cognitive Radio Networks

    KAUST Repository

    Moubayed, Abdallah J.; Sorour, Sameh; Al-Naffouri, Tareq Y.; Alouini, Mohamed-Slim

    2015-01-01

    In this paper, as an extension to [1], we propose a prioritized multi-layer network coding scheme for collaborative packet recovery in hybrid (interweave and underlay) cellular cognitive radio networks. This scheme allows the uncoordinated

  13. Collaborative Multi-Layer Network Coding For Hybrid Cellular Cognitive Radio Networks

    KAUST Repository

    Moubayed, Abdallah J.

    2014-01-01

    In this thesis, as an extension to [1], we propose a prioritized multi-layer network coding scheme for collaborative packet recovery in hybrid (interweave and underlay) cellular cognitive radio networks. This scheme allows the uncoordinated

  14. Mapping and modeling of physician collaboration network.

    Science.gov (United States)

    Uddin, Shahadat; Hamra, Jafar; Hossain, Liaquat

    2013-09-10

    Effective provisioning of healthcare services during patient hospitalization requires collaboration involving a set of interdependent complex tasks, which needs to be carried out in a synergistic manner. Improved patients' outcome during and after hospitalization has been attributed to how effective different health services provisioning groups carry out their tasks in a coordinated manner. Previous studies have documented the underlying relationships between collaboration among physicians on the effective outcome in delivering health services for improved patient outcomes. However, there are very few systematic empirical studies with a focus on the effect of collaboration networks among healthcare professionals and patients' medical condition. On the basis of the fact that collaboration evolves among physicians when they visit a common hospitalized patient, in this study, we first propose an approach to map collaboration network among physicians from their visiting information to patients. We termed this network as physician collaboration network (PCN). Then, we use exponential random graph (ERG) models to explore the microlevel network structures of PCNs and their impact on hospitalization cost and hospital readmission rate. ERG models are probabilistic models that are presented by locally determined explanatory variables and can effectively identify structural properties of networks such as PCN. It simplifies a complex structure down to a combination of basic parameters such as 2-star, 3-star, and triangle. By applying our proposed mapping approach and ERG modeling technique to the electronic health insurance claims dataset of a very large Australian health insurance organization, we construct and model PCNs. We notice that the 2-star (subset of 3 nodes in which 1 node is connected to each of the other 2 nodes) parameter of ERG has significant impact on hospitalization cost. Further, we identify that triangle (subset of 3 nodes in which each node is connected to

  15. Using social media for asynchronous collaboration within collaborative networks

    NARCIS (Netherlands)

    Sturkenboom, N.; Baha, S.E.; Lu, Y.; Tempesta, G.; Melkas, H.; Buur, J.

    2013-01-01

    Societal challenges of today (e.g. aging) are complex and often require systemic solutions to be addressed. To address these challenges, various expertise and knowledge are required; in this sense, collaborative network projects have a lot of potential in offering a systemic solution. Design

  16. Networks and Collaboration in Spanish Education Policy

    Science.gov (United States)

    Azorín, Cecilia M.; Muijs, Daniel

    2017-01-01

    Background: Networks play an important role in today's societies. As a consequence, changes are apparent in the political, economic, cultural, educational and social agendas. Purpose: The main goal of this article is to map the situation of school networks in Spain. The research questions are focused on what forms collaboration and networking take…

  17. Enabling framework for service-oriented collaborative networks

    NARCIS (Netherlands)

    Sargolzaei, M.

    2018-01-01

    In today's economy, collaboration and co-development among organizations has evolved from the traditional format of static supply chains to the dynamic formation of federated organization networks. Networking among business partners has proven to yield lower costs, higher quality, larger

  18. Gender differences in scientific collaborations: Women are more egalitarian than men.

    Directory of Open Access Journals (Sweden)

    Eduardo B Araújo

    Full Text Available By analyzing a unique dataset of more than 270,000 scientists, we discovered substantial gender differences in scientific collaborations. While men are more likely to collaborate with other men, women are more egalitarian. This is consistently observed over all fields and regardless of the number of collaborators a scientist has. The only exception is observed in the field of engineering, where this gender bias disappears with increasing number of collaborators. We also found that the distribution of the number of collaborators follows a truncated power law with a cut-off that is gender dependent and related to the gender differences in the number of published papers. Considering interdisciplinary research, our analysis shows that men and women behave similarly across fields, except in the case of natural sciences, where women with many collaborators are more likely to have collaborators from other fields.

  19. ON THE APPROACH TO SCIENTIFIC PUBLICATIONS VISIBILITY MAXIMIZATION BY THE SCIENTIFIC SOCIAL NETWORKS USAGE

    Directory of Open Access Journals (Sweden)

    A. V. Semenets

    2015-12-01

    3 Research results. Data integration of the user profiles of the scientific social networksThe maximization of visibility and bibliometrics citation increasing of the scientific papers initiated by the given above approach is discussed. The detailed strategy of the user profiles bibliometrics data integration through the scientific social networks is proposed. The role and ways to receiving of the Altmetric rating indices are mentioned.

  20. Collaborative communication protocols for wireless sensor networks

    NARCIS (Netherlands)

    Dulman, S.O.; van Hoesel, L.F.W.; Nieberg, T.; Havinga, Paul J.M.

    In this document, the design of communication within a wireless sensor network is discussed. The resource limitations of such a network, especially in terms of energy, require an integrated approach for all (traditional) layers of communication. We present such an integrated, collaborative approach

  1. Resource Allocation Optimization Model of Collaborative Logistics Network Based on Bilevel Programming

    Directory of Open Access Journals (Sweden)

    Xiao-feng Xu

    2017-01-01

    Full Text Available Collaborative logistics network resource allocation can effectively meet the needs of customers. It can realize the overall benefit maximization of the logistics network and ensure that collaborative logistics network runs orderly at the time of creating value. Therefore, this article is based on the relationship of collaborative logistics network supplier, the transit warehouse, and sellers, and we consider the uncertainty of time to establish a bilevel programming model with random constraints and propose a genetic simulated annealing hybrid intelligent algorithm to solve it. Numerical example shows that the method has stronger robustness and convergence; it can achieve collaborative logistics network resource allocation rationalization and optimization.

  2. Scientific collaborations on Living Labs: some lessons learnt from South Africa and Tanzania

    CSIR Research Space (South Africa)

    Herselman, M

    2015-11-01

    Full Text Available The purpose of this paper is to provide an overview of the specific lessons that were learnt when Tanzanian and South African Living Labs (LL) collaborated to support one another. It was a scientific collaboration which focussed on Living Labs...

  3. Collaboration Networks in Applied Conservation Projects across Europe.

    Science.gov (United States)

    Nita, Andreea; Rozylowicz, Laurentiu; Manolache, Steluta; Ciocănea, Cristiana Maria; Miu, Iulia Viorica; Popescu, Viorel Dan

    2016-01-01

    The main funding instrument for implementing EU policies on nature conservation and supporting environmental and climate action is the LIFE Nature programme, established by the European Commission in 1992. LIFE Nature projects (>1400 awarded) are applied conservation projects in which partnerships between institutions are critical for successful conservation outcomes, yet little is known about the structure of collaborative networks within and between EU countries. The aim of our study is to understand the nature of collaboration in LIFE Nature projects using a novel application of social network theory at two levels: (1) collaboration between countries, and (2) collaboration within countries using six case studies: Western Europe (United Kingdom and Netherlands), Eastern Europe (Romania and Latvia) and Southern Europe (Greece and Portugal). Using data on 1261 projects financed between 1996 and 2013, we found that Italy was the most successful country not only in terms of awarded number of projects, but also in terms of overall influence being by far the most influent country in the European LIFE Nature network, having the highest eigenvector (0.989) and degree centrality (0.177). Another key player in the network is Netherlands, which ensures a fast communication flow with other network members (closeness-0.318) by staying connected with the most active countries. Although Western European countries have higher centrality scores than most of the Eastern European countries, our results showed that overall there is a lower tendency to create partnerships between different organization categories. Also, the comparisons of the six case studies indicates significant differences in regards to the pattern of creating partnerships, providing valuable information on collaboration on EU nature conservation. This study represents a starting point in predicting the formation of future partnerships within LIFE Nature programme, suggesting ways to improve transnational

  4. Exploring Institutional Mechanisms for Scientific Input into the Management Cycle of the National Protected Area Network of Peru: Gaps and Opportunities.

    Science.gov (United States)

    López-Rodríguez, M D; Castro, H; Arenas, M; Requena-Mullor, J M; Cano, A; Valenzuela, E; Cabello, J

    2017-12-01

    Understanding how to improve decision makers' use of scientific information across their different scales of management is a core challenge for narrowing the gap between science and conservation practice. Here, we present a study conducted in collaboration with decision makers that aims to explore the functionality of the mechanisms for scientific input within the institutional setting of the National Protected Area Network of Peru. First, we analyzed institutional mechanisms to assess the scientific information recorded by decision makers. Second, we developed two workshops involving scientists, decision makers and social actors to identify barriers to evidence-based conservation practice. Third, we administered 482 questionnaires to stakeholders to explore social perceptions of the role of science and the willingness to collaborate in the governance of protected areas. The results revealed that (1) the institutional mechanisms did not effectively promote the compilation and application of scientific knowledge for conservation practice; (2) six important barriers hindered scientific input in management decisions; and (3) stakeholders showed positive perceptions about the involvement of scientists in protected areas and expressed their willingness to collaborate in conservation practice. This collaborative research helped to (1) identify gaps and opportunities that should be addressed for increasing the effectiveness of the institutional mechanisms and (2) support institutional changes integrating science-based strategies for strengthening scientific input in decision-making. These insights provide a useful contextual orientation for scholars and decision makers interested in conducting empirical research to connect scientific inputs with operational aspects of the management cycle in other institutional settings around the world.

  5. Exploring Institutional Mechanisms for Scientific Input into the Management Cycle of the National Protected Area Network of Peru: Gaps and Opportunities

    Science.gov (United States)

    López-Rodríguez, M. D.; Castro, H.; Arenas, M.; Requena-Mullor, J. M.; Cano, A.; Valenzuela, E.; Cabello, J.

    2017-12-01

    Understanding how to improve decision makers' use of scientific information across their different scales of management is a core challenge for narrowing the gap between science and conservation practice. Here, we present a study conducted in collaboration with decision makers that aims to explore the functionality of the mechanisms for scientific input within the institutional setting of the National Protected Area Network of Peru. First, we analyzed institutional mechanisms to assess the scientific information recorded by decision makers. Second, we developed two workshops involving scientists, decision makers and social actors to identify barriers to evidence-based conservation practice. Third, we administered 482 questionnaires to stakeholders to explore social perceptions of the role of science and the willingness to collaborate in the governance of protected areas. The results revealed that (1) the institutional mechanisms did not effectively promote the compilation and application of scientific knowledge for conservation practice; (2) six important barriers hindered scientific input in management decisions; and (3) stakeholders showed positive perceptions about the involvement of scientists in protected areas and expressed their willingness to collaborate in conservation practice. This collaborative research helped to (1) identify gaps and opportunities that should be addressed for increasing the effectiveness of the institutional mechanisms and (2) support institutional changes integrating science-based strategies for strengthening scientific input in decision-making. These insights provide a useful contextual orientation for scholars and decision makers interested in conducting empirical research to connect scientific inputs with operational aspects of the management cycle in other institutional settings around the world.

  6. Scientific Collaboration and Coauthors in Life Science Journal Articles

    Directory of Open Access Journals (Sweden)

    Ya-hsiu Fu

    2002-12-01

    Full Text Available It is common to conduct collaborative research in science and technology. In particular, the development of big science, Internet, and globalization facilitated the scientific collaboration. This study used two databases, Web of Science and Journal Citation Reports as data sources. From the analysis of 320 papers in 16 journals in life sciences, the results showed that there is no significant correlation between the impact factor of journals and the number of authors. Moreover, there is no correlation of authors and the cited times, either. The number of authors and cited times in most papers are under 10 persons and 25 times, respectively.[Article content in Chinese

  7. Designing a CTSA-Based Social Network Intervention to Foster Cross-Disciplinary Team Science.

    Science.gov (United States)

    Vacca, Raffaele; McCarty, Christopher; Conlon, Michael; Nelson, David R

    2015-08-01

    This paper explores the application of network intervention strategies to the problem of assembling cross-disciplinary scientific teams in academic institutions. In a project supported by the University of Florida (UF) Clinical and Translational Science Institute, we used VIVO, a semantic-web research networking system, to extract the social network of scientific collaborations on publications and awarded grants across all UF colleges and departments. Drawing on the notion of network interventions, we designed an alteration program to add specific edges to the collaboration network, that is, to create specific collaborations between previously unconnected investigators. The missing collaborative links were identified by a number of network criteria to enhance desirable structural properties of individual positions or the network as a whole. We subsequently implemented an online survey (N = 103) that introduced the potential collaborators to each other through their VIVO profiles, and investigated their attitudes toward starting a project together. We discuss the design of the intervention program, the network criteria adopted, and preliminary survey results. The results provide insight into the feasibility of intervention programs on scientific collaboration networks, as well as suggestions on the implementation of such programs to assemble cross-disciplinary scientific teams in CTSA institutions. © 2015 Wiley Periodicals, Inc.

  8. New directions in building a scientific social network: Experiences in the Supercourse project and application to Central Asia

    Directory of Open Access Journals (Sweden)

    Meredith Hennon

    2012-06-01

    Full Text Available Introduction Networking leaders in the field of public health and medicine is very important for improving health locally and globally, especially in times of disaster. Methods Fishing can best be defined as using an internet search engine to find the name and email address of the person or organization that is being sought. Results With over 500 hours of work, the group compiled a list of nearly 2,000 email addresses of Ministers of Health, deans of the 1,800 medical schools and schools of public health, and heads of medical and public health societies.Conclusions Fishing for deans and others is an important task, albeit just the first step in building a scientific social network.  Upon creation of a database of names, other steps must be taken, such as meeting with others, exchanging information, and forming new collaborations before a scientific social network is successfully completed.

  9. Fuzzy comprehensive evaluation model of interuniversity collaborative learning based on network

    Science.gov (United States)

    Wenhui, Ma; Yu, Wang

    2017-06-01

    Learning evaluation is an effective method, which plays an important role in the network education evaluation system. But most of the current network learning evaluation methods still use traditional university education evaluation system, which do not take into account of web-based learning characteristics, and they are difficult to fit the rapid development of interuniversity collaborative learning based on network. Fuzzy comprehensive evaluation method is used to evaluate interuniversity collaborative learning based on the combination of fuzzy theory and analytic hierarchy process. Analytic hierarchy process is used to determine the weight of evaluation factors of each layer and to carry out the consistency check. According to the fuzzy comprehensive evaluation method, we establish interuniversity collaborative learning evaluation mathematical model. The proposed scheme provides a new thought for interuniversity collaborative learning evaluation based on network.

  10. ACADEMIC PARTNERSHIP AND GENERATION OF SCIENTIFIC KNOWLEDGE: THE CASE OF THE INTERNATIONAL NETWORK OF RESEARCHERS ON COMPETITIVENESS

    Directory of Open Access Journals (Sweden)

    José Guadalupe Vargas Hernández

    2011-03-01

    Full Text Available This paper has the objective to demonstrate the contributions achieved by the International Network of Researchers in Competitiveness (INRCO in academic collaboration and scientific knowledge generation. Part of the assumption sustaining that economic globalization processes, information and communication technologies revolution lead to the increasing environmental complexity and uncertainty of a knowledge society. One answer is the study and analysis of competitiveness considered as the strategy to achieve higher levels of economic growth and socio-cultural development in all micro, meso and macro levels. The method used is the analytic-deductive based on the evidence of related data with the activity and results in publications of the International Network of Researchers in Competitiveness. Consequently, it has been adapted certain speculative notions in a theoretical analysis exploring the social dynamics of the scientific activities. It is concluded that the management of the researchers’ dynamic network is capable to generate, apply and recycle the critical knowledge and the assets of academic and scientific talent through a dynamic combination of resources that have a position inside the formal e informal borders and between these borders of participant academics and institutions.

  11. The US Fire Learning Network: Springing a Rigidity Trap through Multiscalar Collaborative Networks

    Directory of Open Access Journals (Sweden)

    William Hale. Butler

    2010-09-01

    Full Text Available Wildland fire management in the United States is caught in a rigidity trap, an inability to apply novelty and innovation in the midst of crisis. Despite wide recognition that public agencies should engage in ecological fire restoration, fire suppression still dominates planning and management, and restoration has failed to gain traction. The U.S. Fire Learning Network (FLN, a multiscalar collaborative endeavor established in 2002 by federal land management agencies and The Nature Conservancy, offers the potential to overcome barriers that inhibit restoration planning and management. By circulating people, planning products, and information among landscape- and regional-scale collaboratives, this network has facilitated the development and dissemination of innovative approaches to ecological fire restoration. Through experimentation and innovation generated in the network, the FLN has fostered change by influencing fire and land management plans as well as federal policy. We suggest that multiscalar collaborative planning networks such as the FLN can facilitate overcoming the rigidity traps that prevent resource management agencies from responding to complex cross-scalar problems.

  12. Collaborative Network Management for Enhancing Quality Education of Primary Schools

    Science.gov (United States)

    Chaikoed, Wisithsak; Sirisuthi, Chaiyuth; Numnaphol, Kochaporn

    2017-01-01

    This research aims to study the network and collaborative factors that enhance quality education of primary schools. Different methods were used in this research work: (1) Related approaches, theories, and research literatures and (2) Scholars were interviewed on 871 issues in the form of questionnaire, and the collaborative network factors were…

  13. Collaboration Layer for Robots in Mobile Ad-hoc Networks

    DEFF Research Database (Denmark)

    Borch, Ole; Madsen, Per Printz; Broberg, Jacob Honor´e

    2009-01-01

    In many applications multiple robots in Mobile Ad-hoc Networks are required to collaborate in order to solve a task. This paper shows by proof of concept that a Collaboration Layer can be modelled and designed to handle the collaborative communication, which enables robots in small to medium size...

  14. Network Structure, Collaborative Context, and Individual Creativity

    DEFF Research Database (Denmark)

    Stea, Diego; Soda, Giuseppe; Pedersen, Torben

    2016-01-01

    Network research has yet to determine whether bonding ties or bridging ties are more beneficial for individual creativity, but the debate has mostly overlooked the organizational context in which such ties are formed. In particular, the causal chain connecting network structures and individual...... with the network’s organizational context. Thus, actors in dense network structures acquire more knowledge and eventually become more creative in organizational contexts where collaboration is high. Conversely, brokers who arbitrage information across disconnected network contacts acquire more valuable knowledge...

  15. Proximity and scientific collaboration in Northern European “cross-border regional innovation systems”

    DEFF Research Database (Denmark)

    Makkonen, Teemu; Williams, Allan

    2015-01-01

    A novel approach, namely cross-border regional innovation system, has been recently introduced to the literature on economic geography as a framework for studying innovation and scientific collaboration in a cross-border context. However, despite the importance of the topic for cross-border regions......, there are no existing empirical accounts comprehensively validating the concept. Here an attempt to shed some light into this “black box” is made by addressing this research gap via empirical material from Northern European cross-border regions. Specifically this is done by applying data on publications, sectoral...... and cultural statistics together with measures for accessibility and institutional and organisational similarity. These measures are linked to the varying types of proximity discussed in the literature on innovation and scientific collaboration; the impacts of proximity on the volume of cross-border scientific...

  16. Fuzzy comprehensive evaluation model of interuniversity collaborative learning based on network

    Directory of Open Access Journals (Sweden)

    Wenhui Ma

    2017-06-01

    Full Text Available Learning evaluation is an effective method, which plays an important role in the network education evaluation system. But most of the current network learning evaluation methods still use traditional university education evaluation system, which do not take into account of web-based learning characteristics, and they are difficult to fit the rapid development of interuniversity collaborative learning based on network. Fuzzy comprehensive evaluation method is used to evaluate interuniversity collaborative learning based on the combination of fuzzy theory and analytic hierarchy process. Analytic hierarchy process is used to determine the weight of evaluation factors of each layer and to carry out the consistency check. According to the fuzzy comprehensive evaluation method, we establish interuniversity collaborative learning evaluation mathematical model. The proposed scheme provides a new thought for interuniversity collaborative learning evaluation based on network.

  17. Relevant problems in collaborative processes of non-hierarchical manufacturing networks

    Directory of Open Access Journals (Sweden)

    Beatriz Andrés

    2013-07-01

    Full Text Available Purpose: The purpose of this paper is to identify some of existing problems associated with collaboration among SMEs of the same network. Concretely, the problems are focused. The research objective is to identify the most relevant problems existing when SMEs have to deal with decentralized decisions (DDM. Design/methodology/approach: Through the literature review there have been collected collaborative problems caused by inter-organizational barriers. The approach taken is a qualitative study and analysis that classifies collaborative problems from less important to very important. In light of this, we are able to identify what are the most relevant problems to study in the NHN collaborative context. Findings and Originality/value: The developed methodology allows researchers to indentify amongst the collaborative problems those that are most relevant to solve in the NHN context, with the main aim of providing solutions in the future. The research aim is to provide the expert in the collaborative field a starting point to address the collaborative problems SMEs can find when belonging to collaborative networks. Research limitations/implications: Not all the problems that appear when an SME establish collaborative relationships, in a NHN, are considered. The identified problems have been arisen because there are discussed in the literature for addressing collaborative problems among networked partners. Identified problems are also considered because there are relevant to achieve collaboration among SMEs. Originality/value: The degree of coverage and the degree of significance is the taxonomy criteria used to identify the importance of solution degree of the encountered collaborative problems, in NHN context, in order to provide a future research of solutions to overcome them.

  18. Modeling and management of information supporting functional dimension of Collaborative Networks

    NARCIS (Netherlands)

    Afsarmanesh, H.; Ermilova, E.; Msanjila, S.S.; Camarinha-Matos, L.M.; Hameurlain, A.; Küng, J.; Wagner, R.

    2009-01-01

    Fluent creation of opportunity-based short-term Collaborative Networks (CNs) among organizations or individuals requires the availability of a variety of up-to-date information. A pre-established properly administrated strategic-alliance Collaborative Network (CN) can act as the breeding environment

  19. Research and collaboration overview of Institut Pasteur International Network: a bibliometric approach toward research funding decisions.

    Science.gov (United States)

    Mostafavi, Ehsan; Bazrafshan, Azam

    2014-01-01

    Institut Pasteur International Network (IPIN), which includes 32 research institutes around the world, is a network of research and expertise to fight against infectious diseases. A scientometric approach was applied to describe research and collaboration activities of IPIN. Publications were identified using a manual search of IPIN member addresses in Science Citation Index Expanded (SCIE) between 2006 and 2011. Total publications were then subcategorized by geographic regions. Several scientometric indicators and the H-index were employed to estimate the scientific production of each IPIN member. Subject and geographical overlay maps were also applied to visualize the network activities of the IPIN members. A total number of 12667 publications originated from IPIN members. Each author produced an average number of 2.18 papers and each publication received an average of 13.40 citations. European Pasteur Institutes had the largest amount of publications, authored papers, and H-index values. Biochemistry and molecular biology, microbiology, immunology and infectious diseases were the most important research topics, respectively. Geographic mapping of IPIN publications showed wide international collaboration among IPIN members around the world. IPIN has strong ties with national and international authorities and organizations to investigate the current and future health issues. It is recommended to use scientometric and collaboration indicators as measures of research performance in IPIN future policies and investment decisions.

  20. Research and Collaboration Overview of Institut Pasteur International Network: A Bibliometric Approach toward Research Funding Decisions

    Directory of Open Access Journals (Sweden)

    Ehsan Mostafavi

    2014-01-01

    Full Text Available Background Institut Pasteur International Network (IPIN, which includes 32 research institutes around the world, is a network of research and expertise to fight against infectious diseases. A scientometric approach was applied to describe research and collaboration activities of IPIN. Methods Publications were identified using a manual search of IPIN member addresses in Science Citation Index Expanded (SCIE between 2006 and 2011. Total publications were then subcategorized by geographic regions. Several scientometric indicators and the H-index were employed to estimate the scientific production of each IPIN member. Subject and geographical overlay maps were also applied to visualize the network activities of the IPIN members. Results A total number of 12667 publications originated from IPIN members. Each author produced an average number of 2.18 papers and each publication received an average of 13.40 citations. European Pasteur Institutes had the largest amount of publications, authored papers, and H-index values. Biochemistry and molecular biology, microbiology, immunology and infectious diseases were the most important research topics, respectively. Geographic mapping of IPIN publications showed wide international collaboration among IPIN members around the world. Conclusion IPIN has strong ties with national and international authorities and organizations to investigate the current and future health issues. It is recommended to use scientometric and collaboration indicators as measures of research performance in IPIN future policies and investment decisions.

  1. Management of information supporting Collaborative Networks

    NARCIS (Netherlands)

    Afsarmanesh, H.; Camarinha-Matos, L.M.

    2009-01-01

    Dynamic creation of opportunity-based goal-oriented Collaborative Networks (CNs), among organizations or individuals, requires the availability of a variety of up-to-date information. In order to effectively address the complexity, dynamism, and scalability of actors, domains, and operations in

  2. Group Clustering Mechanism for P2P Large Scale Data Sharing Collaboration

    Institute of Scientific and Technical Information of China (English)

    DENGQianni; LUXinda; CHENLi

    2005-01-01

    Research shows that P2P scientific collaboration network will exhibit small-world topology, as do a large number of social networks for which the same pattern has been documented. In this paper we propose a topology building protocol to benefit from the small world feature. We find that the idea of Freenet resembles the dynamic pattern of social interactions in scientific data sharing and the small world characteristic of Freenet is propitious to improve the file locating performance in scientificdata sharing. But the LRU (Least recently used) datas-tore cache replacement scheme of Freenet is not suitableto be used in scientific data sharing network. Based onthe group locality of scientific collaboration, we proposean enhanced group clustering cache replacement scheme.Simulation shows that this scheme improves the request hitratio dramatically while keeping the small average hops per successful request comparable to LRU.

  3. The Healthy Aging Research Network: Modeling Collaboration for Community Impact.

    Science.gov (United States)

    Belza, Basia; Altpeter, Mary; Smith, Matthew Lee; Ory, Marcia G

    2017-03-01

    As the first Centers for Disease Control and Prevention (CDC) Prevention Research Centers Program thematic network, the Healthy Aging Research Network was established to better understand the determinants of healthy aging within older adult populations, identify interventions that promote healthy aging, and assist in translating research into sustainable community-based programs throughout the nation. To achieve these goals requires concerted efforts of a collaborative network of academic, community, and public health organizational partnerships. For the 2001-2014 Prevention Research Center funding cycles, the Healthy Aging Research Network conducted prevention research and promoted the wide use of practices known to foster optimal health. Organized around components necessary for successful collaborations (i.e., governance and infrastructure, shaping focus, community involvement, and evaluation and improvement), this commentary highlights exemplars that demonstrate the Healthy Aging Research Network's unique contributions to the field. The Healthy Aging Research Network's collaboration provided a means to collectively build capacity for practice and policy, reduce fragmentation and duplication in health promotion and aging research efforts, maximize the efficient use of existing resources and generate additional resources, and ultimately, create synergies for advancing the healthy aging agenda. This collaborative model was built upon a backbone organization (coordinating center); setting of common agendas and mutually reinforcing activities; and continuous communications. Given its successes, the Healthy Aging Research Network model could be used to create new and evaluate existing thematic networks to guide the translation of research into policy and practice. Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  4. Collaboration patterns in the German political science co-authorship network.

    Science.gov (United States)

    Leifeld, Philip; Wankmüller, Sandra; Berger, Valentin T Z; Ingold, Karin; Steiner, Christiane

    2017-01-01

    Research on social processes in the production of scientific output suggests that the collective research agenda of a discipline is influenced by its structural features, such as "invisible colleges" or "groups of collaborators" as well as academic "stars" that are embedded in, or connect, these research groups. Based on an encompassing dataset that takes into account multiple publication types including journals and chapters in edited volumes, we analyze the complete co-authorship network of all 1,339 researchers in German political science. Through the use of consensus graph clustering techniques and descriptive centrality measures, we identify the ten largest research clusters, their research topics, and the most central researchers who act as bridges and connect these clusters. We also aggregate the findings at the level of research organizations and consider the inter-university co-authorship network. The findings indicate that German political science is structured by multiple overlapping research clusters with a dominance of the subfields of international relations, comparative politics and political sociology. A small set of well-connected universities takes leading roles in these informal research groups.

  5. Collaborative Supervised Learning for Sensor Networks

    Science.gov (United States)

    Wagstaff, Kiri L.; Rebbapragada, Umaa; Lane, Terran

    2011-01-01

    Collaboration methods for distributed machine-learning algorithms involve the specification of communication protocols for the learners, which can query other learners and/or broadcast their findings preemptively. Each learner incorporates information from its neighbors into its own training set, and they are thereby able to bootstrap each other to higher performance. Each learner resides at a different node in the sensor network and makes observations (collects data) independently of the other learners. After being seeded with an initial labeled training set, each learner proceeds to learn in an iterative fashion. New data is collected and classified. The learner can then either broadcast its most confident classifications for use by other learners, or can query neighbors for their classifications of its least confident items. As such, collaborative learning combines elements of both passive (broadcast) and active (query) learning. It also uses ideas from ensemble learning to combine the multiple responses to a given query into a single useful label. This approach has been evaluated against current non-collaborative alternatives, including training a single classifier and deploying it at all nodes with no further learning possible, and permitting learners to learn from their own most confident judgments, absent interaction with their neighbors. On several data sets, it has been consistently found that active collaboration is the best strategy for a distributed learner network. The main advantages include the ability for learning to take place autonomously by collaboration rather than by requiring intervention from an oracle (usually human), and also the ability to learn in a distributed environment, permitting decisions to be made in situ and to yield faster response time.

  6. Negotiation and Contracting in Collaborative Networks

    Science.gov (United States)

    Oliveira, Ana Inês; Camarinha-Matos, Luis M.

    Due to the increasing market turbulence, companies, organizations and individuals need to tune their actuation forms so that they can prevail. It is particularly essential to create alliances and partnerships for collaborative problem solving when responding to new businesses or collaborative opportunities. In all types of alliances it is necessary to establish agreements that represent the rights and duties of all involved parts in a given collaboration opportunity. Therefore, it is important to deeply understand the structures and requirements of these alliances, i.e. what kind of members does the alliance have, what kind of protocols may be implied, how conflicts may possibly be resolved, etc. Moreover to these requirements, also the required support tools and mechanisms have to be identified. For that, this paper presents a research work that is being carried in the negotiation and contracting field, in order to promote agility in collaborative networks.

  7. Orchestrating Web Services for Networked Enterprise Collaboration

    OpenAIRE

    Ananth Srinivasan; David Sundaram

    2003-01-01

    Internet technologies are widely recognized for their promise as enablers of collaborative computing both within and among organizations. The presence of heterogeneous systems based on different technological platforms in organizations makes the implementation of network collaboration very complex. The approach taken for the most part to deal with this issue has been based on Enterprise Application Integration. The major drawback of this approach is the dependence on proprietary solutions tha...

  8. International research networks in pharmaceuticals

    DEFF Research Database (Denmark)

    Cantner, Uwe; Rake, Bastian

    2014-01-01

    of scientific publications related to pharmaceutical research and applying social network analysis, we find that both the number of countries and their connectivity increase in almost all disease group specific networks. The cores of the networks consist of high income OECD countries and remain rather stable......Knowledge production and scientific research have become increasingly more collaborative and international, particularly in pharmaceuticals. We analyze this tendency in general and tie formation in international research networks on the country level in particular. Based on a unique dataset...... over time. Using network regression techniques to analyze the network dynamics our results indicate that accumulative advantages based on connectedness and multi-connectivity are positively related to changes in the countries' collaboration intensity whereas various indicators on similarity between...

  9. Collaborative Algortihms for Communication in Wireless Sensor Networks

    NARCIS (Netherlands)

    Nieberg, T.; Dulman, S.O.; Havinga, Paul J.M.; van Hoesel, L.F.W.; Wu Jian, W.J.

    In this paper, we present the design of the communication in a wireless sensor network. The resource limitations of a wireless sensor network, especially in terms of energy, require an integrated, and collaborative approach for the different layers of communication. In particular, energy-efficient

  10. Collaborative Algorithms for Communication in Wireless Sensor Networks

    NARCIS (Netherlands)

    Nieberg, T.; Dulman, S.O.; Havinga, Paul J.M.; van Hoesel, L.F.W.; Wu Jian, W.J.; Basten, Twan; Geilen, Marc; de Groot, Harmke

    2003-01-01

    In this paper, we present the design of the communication in a wireless sensor network. The resource limitations of a wireless sensor network, especially in terms of energy, require an integrated, and collaborative approach for the different layers of communication. In particular, energy-efficient

  11. Supporting interoperability of collaborative networks through engineering of a service-based Mediation Information System (MISE 2.0)

    Science.gov (United States)

    Benaben, Frederick; Mu, Wenxin; Boissel-Dallier, Nicolas; Barthe-Delanoe, Anne-Marie; Zribi, Sarah; Pingaud, Herve

    2015-08-01

    The Mediation Information System Engineering project is currently finishing its second iteration (MISE 2.0). The main objective of this scientific project is to provide any emerging collaborative situation with methods and tools to deploy a Mediation Information System (MIS). MISE 2.0 aims at defining and designing a service-based platform, dedicated to initiating and supporting the interoperability of collaborative situations among potential partners. This MISE 2.0 platform implements a model-driven engineering approach to the design of a service-oriented MIS dedicated to supporting the collaborative situation. This approach is structured in three layers, each providing their own key innovative points: (i) the gathering of individual and collaborative knowledge to provide appropriate collaborative business behaviour (key point: knowledge management, including semantics, exploitation and capitalisation), (ii) deployment of a mediation information system able to computerise the previously deduced collaborative processes (key point: the automatic generation of collaborative workflows, including connection with existing devices or services) (iii) the management of the agility of the obtained collaborative network of organisations (key point: supervision of collaborative situations and relevant exploitation of the gathered data). MISE covers business issues (through BPM), technical issues (through an SOA) and agility issues of collaborative situations (through EDA).

  12. Network Patterns of Inventor Collaboration and Their Effects on Innovation Outputs

    Directory of Open Access Journals (Sweden)

    Wonchang Hur

    2016-03-01

    Full Text Available The purpose of this study is to examine how the collaboration structure among inventors in an R and D organization affects its capability to create impactful innovations. Specifically, this study is focused on examining whether a certain type of network mechanism found in collaboration among inventors contributes more to enhancing the future impacts of collaboration outputs, which is represented by the forward citations of their patents. To this end, co-invention networks for R and D organizations are constructed from an inventor-patent database, and the three structural patterns are measured by using network analytic constructs, namely, structural holes, strength of ties, and centralization. The results show that the presence of structural holes and strong ties are positively associated with the increasing forward citations, and that decentralized collaboration has also a positive impact. The findings offer support for both structural hole and network closure perspectives on social capital, which have been considered contradictive in the literature.

  13. Program of scientific investigations and development of solid-oxide fuel cells (SOFC) in VNIITF. Proposals on scientific and technical collaboration and SOFC commercialization

    Energy Technology Data Exchange (ETDEWEB)

    Kleschev, Yu.N.; Chukharev, V.F.

    1996-04-01

    This paper describes proposals on scientific and technical collaborations pertaining to solid oxide fuel cell commercialization. Topics included for discussion are: materials research and manufacture; market estimation and cost; directions of collaboration; and project of proposals on joint enterprise creation.

  14. A framework for automated service composition in collaborative networks

    NARCIS (Netherlands)

    Afsarmanesh, H.; Sargolzaei, M.; Shadi, M.

    2012-01-01

    This paper proposes a novel framework for automated software service composition that can significantly support and enhance collaboration among enterprises in service provision industry, such as in tourism insurance and e-commerce collaborative networks (CNs). Our proposed framework is founded on

  15. Software-Defined Collaborative Offloading for Heterogeneous Vehicular Networks

    Directory of Open Access Journals (Sweden)

    Wei Quan

    2018-01-01

    Full Text Available Vehicle-assisted data offloading is envisioned to significantly alleviate the problem of explosive growth of mobile data traffic. However, due to the high mobility of vehicles and the frequent disruption of communication links, it is very challenging to efficiently optimize collaborative offloading from a group of vehicles. In this paper, we leverage the concept of Software-Defined Networking (SDN and propose a software-defined collaborative offloading (SDCO solution for heterogeneous vehicular networks. In particular, SDCO can efficiently manage the offloading nodes and paths based on a centralized offloading controller. The offloading controller is equipped with two specific functions: the hybrid awareness path collaboration (HPC and the graph-based source collaboration (GSC. HPC is in charge of selecting the suitable paths based on the round-trip time, packet loss rate, and path bandwidth, while GSC optimizes the offloading nodes according to the minimum vertex cover for effective offloading. Simulation results are provided to demonstrate that SDCO can achieve better offloading efficiency compared to the state-of-the-art solutions.

  16. Spread Spectrum Based Energy Efficient Collaborative Communication in Wireless Sensor Networks.

    Science.gov (United States)

    Ghani, Anwar; Naqvi, Husnain; Sher, Muhammad; Khan, Muazzam Ali; Khan, Imran; Irshad, Azeem

    2016-01-01

    Wireless sensor networks consist of resource limited devices. Most crucial of these resources is battery life, as in most applications like battle field or volcanic area monitoring, it is often impossible to replace or recharge the power source. This article presents an energy efficient collaborative communication system based on spread spectrum to achieve energy efficiency as well as immunity against jamming, natural interference, noise suppression and universal frequency reuse. Performance of the proposed system is evaluated using the received signal power, bit error rate (BER) and energy consumption. The results show a direct proportionality between the power gain and the number of collaborative nodes as well as BER and signal-to-noise ratio (Eb/N0). The analytical and simulation results of the proposed system are compared with SISO system. The comparison reveals that SISO perform better than collaborative communication in case of small distances whereas collaborative communication performs better than SISO in case of long distances. On the basis of these results it is safe to conclude that collaborative communication in wireless sensor networks using wideband systems improves the life time of nodes in the networks thereby prolonging the network's life time.

  17. Building international collaborative capacity: contributions of community psychologists to a European network.

    Science.gov (United States)

    García-Ramírez, Manuel; Paloma, Virginia; Suarez-Balcazar, Yolanda; Balcazar, Fabricio

    2009-09-01

    Europe is in the process of building a more participative, just, and inclusive European Union. The European Social Fund, which is an initiative developed to actively promote multinational partnerships that address pressing social issues, is a good example of the European transformation. This article describes the steps taken to develop and evaluate the activities of an international network promoting collaborative capacity among regional partners involved in the prevention of labor discrimination toward immigrants in three European countries-Spain, Belgium, and Italy. An international team of community psychologists proposed an empowering approach to assess the collaborative capacity of the network. This approach consisted of three steps: (1) establishing a collaborative relationship among partners, (2) building collaborative capacity, and (3) evaluating the collaborative capacity of the network. We conclude with lessons learned from the process and provide recommendations for addressing the challenges inherent in international collaboration processes.

  18. Collaboration Networks in the Music Industry

    OpenAIRE

    Budner, Pascal; Grahl, Joern

    2016-01-01

    Recording an album brings singers, producers, musicians, audio engineers, and many other professions together. We know from the press that a few "super"-producers work with many artists. But how does the large-scale social structure of the music industry look like? What is the social network behind the finest albums of all time? In this paper we studied the large-scale structure of music collaborations using the tools of network science. We considered all albums in Rolling Stone Magazine's li...

  19. SibRank: Signed bipartite network analysis for neighbor-based collaborative ranking

    Science.gov (United States)

    Shams, Bita; Haratizadeh, Saman

    2016-09-01

    Collaborative ranking is an emerging field of recommender systems that utilizes users' preference data rather than rating values. Unfortunately, neighbor-based collaborative ranking has gained little attention despite its more flexibility and justifiability. This paper proposes a novel framework, called SibRank that seeks to improve the state of the art neighbor-based collaborative ranking methods. SibRank represents users' preferences as a signed bipartite network, and finds similar users, through a novel personalized ranking algorithm in signed networks.

  20. Capacity of Wireless Ad Hoc Networks with Opportunistic Collaborative Communications

    Directory of Open Access Journals (Sweden)

    Simeone O

    2007-01-01

    Full Text Available Optimal multihop routing in ad hoc networks requires the exchange of control messages at the MAC and network layer in order to set up the (centralized optimization problem. Distributed opportunistic space-time collaboration (OST is a valid alternative that avoids this drawback by enabling opportunistic cooperation with the source at the physical layer. In this paper, the performance of OST is investigated. It is shown analytically that opportunistic collaboration outperforms (centralized optimal multihop in case spatial reuse (i.e., the simultaneous transmission of more than one data stream is not allowed by the transmission protocol. Conversely, in case spatial reuse is possible, the relative performance between the two protocols has to be studied case by case in terms of the corresponding capacity regions, given the topology and the physical parameters of network at hand. Simulation results confirm that opportunistic collaborative communication is a promising paradigm for wireless ad hoc networks that deserves further investigation.

  1. Capacity of Wireless Ad Hoc Networks with Opportunistic Collaborative Communications

    Directory of Open Access Journals (Sweden)

    O. Simeone

    2007-03-01

    Full Text Available Optimal multihop routing in ad hoc networks requires the exchange of control messages at the MAC and network layer in order to set up the (centralized optimization problem. Distributed opportunistic space-time collaboration (OST is a valid alternative that avoids this drawback by enabling opportunistic cooperation with the source at the physical layer. In this paper, the performance of OST is investigated. It is shown analytically that opportunistic collaboration outperforms (centralized optimal multihop in case spatial reuse (i.e., the simultaneous transmission of more than one data stream is not allowed by the transmission protocol. Conversely, in case spatial reuse is possible, the relative performance between the two protocols has to be studied case by case in terms of the corresponding capacity regions, given the topology and the physical parameters of network at hand. Simulation results confirm that opportunistic collaborative communication is a promising paradigm for wireless ad hoc networks that deserves further investigation.

  2. An exploration of collaborative scientific production at MIT through spatial organization and institutional affiliation.

    Science.gov (United States)

    Claudel, Matthew; Massaro, Emanuele; Santi, Paolo; Murray, Fiona; Ratti, Carlo

    2017-01-01

    Academic research is increasingly cross-disciplinary and collaborative, between and within institutions. In this context, what is the role and relevance of an individual's spatial position on a campus? We examine the collaboration patterns of faculty at the Massachusetts Institute of Technology, through their academic output (papers and patents), and their organizational structures (institutional affiliation and spatial configuration) over a 10-year time span. An initial comparison of output types reveals: 1. diverging trends in the composition of collaborative teams over time (size, faculty versus non-faculty, etc.); and 2. substantively different patterns of cross-building and cross-disciplinary collaboration. We then construct a multi-layered network of authors, and find two significant features of collaboration on campus: 1. a network topology and community structure that reveals spatial versus institutional collaboration bias; and 2. a persistent relationship between proximity and collaboration, well fit with an exponential decay model. This relationship is consistent for both papers and patents, and present also in exclusively cross-disciplinary work. These insights contribute an architectural dimension to the field of scientometrics, and take a first step toward empirical space-planning policy that supports collaboration within institutions.

  3. An exploration of collaborative scientific production at MIT through spatial organization and institutional affiliation

    Science.gov (United States)

    Santi, Paolo; Murray, Fiona; Ratti, Carlo

    2017-01-01

    Academic research is increasingly cross-disciplinary and collaborative, between and within institutions. In this context, what is the role and relevance of an individual’s spatial position on a campus? We examine the collaboration patterns of faculty at the Massachusetts Institute of Technology, through their academic output (papers and patents), and their organizational structures (institutional affiliation and spatial configuration) over a 10-year time span. An initial comparison of output types reveals: 1. diverging trends in the composition of collaborative teams over time (size, faculty versus non-faculty, etc.); and 2. substantively different patterns of cross-building and cross-disciplinary collaboration. We then construct a multi-layered network of authors, and find two significant features of collaboration on campus: 1. a network topology and community structure that reveals spatial versus institutional collaboration bias; and 2. a persistent relationship between proximity and collaboration, well fit with an exponential decay model. This relationship is consistent for both papers and patents, and present also in exclusively cross-disciplinary work. These insights contribute an architectural dimension to the field of scientometrics, and take a first step toward empirical space-planning policy that supports collaboration within institutions. PMID:28640829

  4. The Meso-level Structure of F/OSS Collaboration Network

    DEFF Research Database (Denmark)

    Conald, Guido; Rullani, Francesco

    2010-01-01

    Social networks in Free/Open Source Software (F/OSS) have been usually analyzed at the level of the single project e.g., [6], or at the level of a whole ecology of projects, e.g., [33]. In this paper, we also investigate the social network generated by developers who collaborate to one or multiple...... F/OSS projects, but we focus on the less-studied meso-level structure emerging when applying to this network a community-detection technique. The network of ‘communities’ emerging from this analysis links sub-groups of densely connected developers, sub-groups that are smaller than the components...... of the network but larger than the teams working on single projects. Our results reveal the complexity of this meso-level structure, where several dense sub-groups of developers are connected by sparse collaboration among different sub-groups. We discuss the theoretical implications of our findings...

  5. Multi-operator collaboration for green cellular networks under roaming price consideration

    KAUST Repository

    Ghazzai, Hakim; Yaacoub, Elias E.; Alouini, Mohamed-Slim

    2014-01-01

    This paper investigates the collaboration between multiple mobile operators to optimize the energy efficiency of cellular networks. Our framework studies the case of LTE-Advanced networks deployed in the same area and owning renewable energy generators. The objective is to reduce the CO2 emissions of cellular networks via collaborative techniques and using base station sleeping strategy while respecting the network quality of service. Low complexity and practical algorithm is employed to achieve green goals during low traffic periods. Cooperation decision criteria are also established basing on derived roaming prices and profit gains of competitive mobile operators. Our numerical results show a significant save in terms of CO2 compared to the non-collaboration case and that cooperative mobile operator exploiting renewables are more awarded than traditional operators.

  6. Multi-operator collaboration for green cellular networks under roaming price consideration

    KAUST Repository

    Ghazzai, Hakim

    2014-09-01

    This paper investigates the collaboration between multiple mobile operators to optimize the energy efficiency of cellular networks. Our framework studies the case of LTE-Advanced networks deployed in the same area and owning renewable energy generators. The objective is to reduce the CO2 emissions of cellular networks via collaborative techniques and using base station sleeping strategy while respecting the network quality of service. Low complexity and practical algorithm is employed to achieve green goals during low traffic periods. Cooperation decision criteria are also established basing on derived roaming prices and profit gains of competitive mobile operators. Our numerical results show a significant save in terms of CO2 compared to the non-collaboration case and that cooperative mobile operator exploiting renewables are more awarded than traditional operators.

  7. A field experiment on search costs and the formation of scientific collaborations

    Czech Academy of Sciences Publication Activity Database

    Boudreau, K. J.; Brady, T.; Ganguli, I.; Gaulé, Patrick; Guinan, E.; Hollenberg, A.; Lakhani, K. R.

    2017-01-01

    Roč. 99, č. 4 (2017), s. 565-576 ISSN 0034-6535 Institutional support: RVO:67985998 Keywords : search costs * scientific collaborations Subject RIV: AH - Economics OBOR OECD: Applied Economics , Econometrics Impact factor: 2.926, year: 2016

  8. Who sets up the bridge? Tracking scientific collaborations between China and the EU28

    Energy Technology Data Exchange (ETDEWEB)

    Wang, L.; Wang, X

    2016-07-01

    In the past decade, collaborations between China and European Union have been rapidly expanding. Hitherto, however, little research has been carried out to assess implementation and impacts of such collaborations. This paper evaluates the collaboration performance between China and the EU28 concerning major research and innovation priorities. To shed light on the initiatives of collaborations, corresponding authors are detected and classified into three categories, Chinese local, Chinese abroad, and non-Chinese. In order to foster more profitable collaboration for both parties and to formulate options for international policy on research and innovation cooperation between the European Union and China, this paper presents an in-depth analysis of the scientific collaborations focusing on the initiatives and benefits of the collaborations. (Author)

  9. Collaborative Chronic Care Networks (C3Ns) to transform chronic illness care.

    Science.gov (United States)

    Margolis, Peter A; Peterson, Laura E; Seid, Michael

    2013-06-01

    Despite significant gains by pediatric collaborative improvement networks, the overall US system of chronic illness care does not work well. A new paradigm is needed: a Collaborative Chronic Care Network (C3N). A C3N is a network-based production system that harnesses the collective intelligence of patients, clinicians, and researchers and distributes the production of knowledge, information, and know-how over large groups of people, dramatically accelerating the discovery process. A C3N is a platform of "operating systems" on which interconnected processes and interventions are designed, tested, and implemented. The social operating system is facilitated by community building, engaging all stakeholders and their expertise, and providing multiple ways to participate. Standard progress measures and a robust information technology infrastructure enable the technical operating system to reduce unwanted variation and adopt advances more rapidly. A structured approach to innovation design provides a scientific operating system or "laboratory" for what works and how to make it work. Data support testing and research on multiple levels: comparative effectiveness research for populations, evaluating care delivery processes at the care center level, and N-of-1 trials and other methods to select the best treatment of individual patient circumstances. Methods to reduce transactional costs to participate include a Federated IRB Model in which centers rely on a protocol approved at 1 central institutional review board and a "commons framework" for organizational copyright and intellectual property concerns. A fully realized C3N represents a discontinuous leap to a self-developing learning health system capable of producing a qualitatively different approach to improving health.

  10. A field experiment on search costs and the formation of scientific collaborations

    Czech Academy of Sciences Publication Activity Database

    Boudreau, K. J.; Brady, T.; Ganguli, I.; Gaulé, Patrick; Guinan, E.; Hollenberg, A.; Lakhani, K. R.

    2017-01-01

    Roč. 99, č. 4 (2017), s. 565-576 ISSN 0034-6535 Institutional support: Progres-Q24 Keywords : search costs * scientific collaborations Subject RIV: AH - Economics OBOR OECD: Applied Economics , Econometrics Impact factor: 2.926, year: 2016

  11. Coarse cluster enhancing collaborative recommendation for social network systems

    Science.gov (United States)

    Zhao, Yao-Dong; Cai, Shi-Min; Tang, Ming; Shang, Min-Sheng

    2017-10-01

    Traditional collaborative filtering based recommender systems for social network systems bring very high demands on time complexity due to computing similarities of all pairs of users via resource usages and annotation actions, which thus strongly suppresses recommending speed. In this paper, to overcome this drawback, we propose a novel approach, namely coarse cluster that partitions similar users and associated items at a high speed to enhance user-based collaborative filtering, and then develop a fast collaborative user model for the social tagging systems. The experimental results based on Delicious dataset show that the proposed model is able to dramatically reduce the processing time cost greater than 90 % and relatively improve the accuracy in comparison with the ordinary user-based collaborative filtering, and is robust for the initial parameter. Most importantly, the proposed model can be conveniently extended by introducing more users' information (e.g., profiles) and practically applied for the large-scale social network systems to enhance the recommending speed without accuracy loss.

  12. Collaborative Clustering for Sensor Networks

    Science.gov (United States)

    Wagstaff. Loro :/; Green Jillian; Lane, Terran

    2011-01-01

    Traditionally, nodes in a sensor network simply collect data and then pass it on to a centralized node that archives, distributes, and possibly analyzes the data. However, analysis at the individual nodes could enable faster detection of anomalies or other interesting events, as well as faster responses such as sending out alerts or increasing the data collection rate. There is an additional opportunity for increased performance if individual nodes can communicate directly with their neighbors. Previously, a method was developed by which machine learning classification algorithms could collaborate to achieve high performance autonomously (without requiring human intervention). This method worked for supervised learning algorithms, in which labeled data is used to train models. The learners collaborated by exchanging labels describing the data. The new advance enables clustering algorithms, which do not use labeled data, to also collaborate. This is achieved by defining a new language for collaboration that uses pair-wise constraints to encode useful information for other learners. These constraints specify that two items must, or cannot, be placed into the same cluster. Previous work has shown that clustering with these constraints (in isolation) already improves performance. In the problem formulation, each learner resides at a different node in the sensor network and makes observations (collects data) independently of the other learners. Each learner clusters its data and then selects a pair of items about which it is uncertain and uses them to query its neighbors. The resulting feedback (a must and cannot constraint from each neighbor) is combined by the learner into a consensus constraint, and it then reclusters its data while incorporating the new constraint. A strategy was also proposed for cleaning the resulting constraint sets, which may contain conflicting constraints; this improves performance significantly. This approach has been applied to collaborative

  13. Mobility and International Collaboration: Case of the Mexican Scientific Diaspora.

    Directory of Open Access Journals (Sweden)

    Rafael Marmolejo-Leyva

    Full Text Available We use a data set of Mexican researchers working abroad that are included in the Mexican National System of Researchers (SNI. Our diaspora sample includes 479 researchers, most of them holding postdoctoral positions in mainly seven countries: USA, Great Britain, Germany, France, Spain, Canada and Brazil. Their research output and impact is explored in order to determine their patterns of production, mobility and scientific collaboration as compared with previous studies of the SNI researchers in the periods 1991-2001 and 2003-2009. Our findings confirm that mobility has a strong impact on their international scientific collaboration. We found no substantial influence among the researchers that got their PhD degrees abroad from those trained in Mexican universities. There are significant differences among the areas of knowledge studied: biological sciences, physics and engineering have better production and impact rates than mathematics, geosciences, medicine, agrosciences, chemistry, social sciences and humanities. We found a slight gender difference in research production but Mexican female scientists are underrepresented in our diaspora sample. These findings would have policy implications for the recently established program that will open new academic positions for young Mexican scientists.

  14. Mobility and International Collaboration: Case of the Mexican Scientific Diaspora.

    Science.gov (United States)

    Marmolejo-Leyva, Rafael; Perez-Angon, Miguel Angel; Russell, Jane M

    2015-01-01

    We use a data set of Mexican researchers working abroad that are included in the Mexican National System of Researchers (SNI). Our diaspora sample includes 479 researchers, most of them holding postdoctoral positions in mainly seven countries: USA, Great Britain, Germany, France, Spain, Canada and Brazil. Their research output and impact is explored in order to determine their patterns of production, mobility and scientific collaboration as compared with previous studies of the SNI researchers in the periods 1991-2001 and 2003-2009. Our findings confirm that mobility has a strong impact on their international scientific collaboration. We found no substantial influence among the researchers that got their PhD degrees abroad from those trained in Mexican universities. There are significant differences among the areas of knowledge studied: biological sciences, physics and engineering have better production and impact rates than mathematics, geosciences, medicine, agrosciences, chemistry, social sciences and humanities. We found a slight gender difference in research production but Mexican female scientists are underrepresented in our diaspora sample. These findings would have policy implications for the recently established program that will open new academic positions for young Mexican scientists.

  15. Gender differences in collaborative learning over online social networks: Epistemological beliefs and behaviors

    Directory of Open Access Journals (Sweden)

    Rosanna Y.-Y. Chan

    2013-09-01

    Full Text Available Online social networks are popular venues for computer-supported collaborative work and computer-supported collaborative learning. Professionals within the same discipline, such as software developers, often interact over various social network sites for knowledge updates and collective understandings. The current study aims at gathering empirical evidences concerning gender differences in online social network beliefs and behaviors. A total of 53 engineering postgraduate students were engaged in a blogging community for collaborative learning. Participants’ beliefs about collaboration and nature of knowledge and knowing (i.e. epistemological beliefs are investigated. More specifically, social network analysis metrics including in-degree, out-degree, closeness centrality, and betweenness centrality are obtained from an 8-interval longitudinal SNA. Methodologically speaking, the current work puts forward mixed methods of longitudinal SNA and quantitative beliefs survey to explore online social network participants’ beliefs and behaviors. The study’s findings demonstrate significant gender differences in collaborative learning through online social networks, including (1 female engineering postgraduate students engage significantly more actively in online communications, (2 male engineering postgraduate students are more likely to be the potential controllers of information flows, and (3 gender differences exist in belief gains related to social aspects, but not individual's epistemic aspects. Overall, participants in both genders demonstrated enhanced beliefs in collaboration as well as the nature of knowledge and knowing.

  16. Advanced Scientific Computing Research Network Requirements: ASCR Network Requirements Review Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Bacon, Charles [Argonne National Lab. (ANL), Argonne, IL (United States); Bell, Greg [ESnet, Berkeley, CA (United States); Canon, Shane [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dart, Eli [ESnet, Berkeley, CA (United States); Dattoria, Vince [Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research (ASCR); Goodwin, Dave [Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research (ASCR); Lee, Jason [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Hicks, Susan [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Holohan, Ed [Argonne National Lab. (ANL), Argonne, IL (United States); Klasky, Scott [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Lauzon, Carolyn [Dept. of Energy (DOE), Washington DC (United States). Office of Science. Advanced Scientific Computing Research (ASCR); Rogers, Jim [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Shipman, Galen [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Skinner, David [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Tierney, Brian [ESnet, Berkeley, CA (United States)

    2013-03-08

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 25 years. In October 2012, ESnet and the Office of Advanced Scientific Computing Research (ASCR) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the ASCR program office. The requirements identified at the review are summarized in the Findings section, and are described in more detail in the body of the report.

  17. Research collaboration in groups and networks: differences across academic fields.

    Science.gov (United States)

    Kyvik, Svein; Reymert, Ingvild

    2017-01-01

    The purpose of this paper is to give a macro-picture of collaboration in research groups and networks across all academic fields in Norwegian research universities, and to examine the relative importance of membership in groups and networks for individual publication output. To our knowledge, this is a new approach, which may provide valuable information on collaborative patterns in a particular national system, but of clear relevance to other national university systems. At the system level, conducting research in groups and networks are equally important, but there are large differences between academic fields. The research group is clearly most important in the field of medicine and health, while undertaking research in an international network is most important in the natural sciences. Membership in a research group and active participation in international networks are likely to enhance publication productivity and the quality of research.

  18. Integrated production-distribution planning optimization models: A review in collaborative networks context

    Directory of Open Access Journals (Sweden)

    Beatriz Andres

    2017-01-01

    Full Text Available Researchers in the area of collaborative networks are more and more aware of proposing collaborative approaches to address planning processes, due to the advantages associated when enterprises perform integrated planning models. Collaborative production-distribution planning, among the supply network actors, is considered a proper mechanism to support enterprises on dealing with uncertainties and dynamicity associated to the current markets. Enterprises, and especially SMEs, should be able to overcome the continuous changes of the market by increasing their agility. Carrying out collaborative planning allows enterprises to enhance their readiness and agility for facing the market turbulences. However, SMEs have limited access when incorporating optimization tools to deal with collaborative planning, reducing their ability to respond to the competition. The problem to solve is to provide SMEs affordable solutions to support collaborative planning. In this regard, new optimisation algorithms are required in order to improve the collaboration within the supply network partners. As part of the H2020 Cloud Collaborative Manufacturing Networks (C2NET research project, this paper presents a study on integrated production and distribution plans. The main objective of the research is to identify gaps in current optimization models, proposed to address integrated planning, taking into account the requirements and needs of the industry. Thus, the needs of the companies belonging to the industrial pilots, defined in the C2NET project, are identified; analysing how these needs are covered by the optimization models proposed in the literature, to deal with the integrated production-distribution planning.

  19. Designing 3ERP to meet use and users - methods to handle cultural diversity and collaborative networking in SMEs

    DEFF Research Database (Denmark)

    Dirckinck-Holmfeld, Lone; Nielsen, Janni

    2007-01-01

    The purpose is to describe a project the aim of which is to develop and validate the scientific methodological foundation for design of user friendly and usable, flexible and configurable global Enterprise Resource Planning system for Small and Medium sized Enterprises (SMEs) which are adoptable ...... to cultural diversity and support the collaborative networking tasks embedded in 3gERP. Focus is on Human Centered Design methods and tools which must be developed to handle cultural diversity....

  20. Collaboration Nation: The Building of the Welsh Repository Network

    Science.gov (United States)

    Knowles, Jacqueline

    2010-01-01

    Purpose: The purpose of this paper is to disseminate information about the Welsh Repository Network (WRN), innovative work being undertaken to build an integrated network of institutional digital repositories. A collaborative approach, in particular through the provision of centralised technical and organisational support, has demonstrated…

  1. Specification of Scientific Tasks in Collaboration between Science, Industry and State, and Impact of Political Factors on Managerial Levers and Economy

    Directory of Open Access Journals (Sweden)

    Bondarenko Tetiana M.

    2016-11-01

    Full Text Available The issue of collaboration between science, industry and state is of relevance in domestic and international practice. In leading countries of the world and in Ukraine compatible production and scientific complexes are created; collaboration between research institutions and state is established, in particular the theory and practice of collaboration between science, industry and state on the basis of Triple Helix Model is widespread in the world; in scientific papers objects of research of economic processes, subjects of research of the economic theory are considered. However, there are no works where the objects and tasks of economic researches are studied on the basis of macroeconomic environment, and a distinct principle to distinguish research objects relating to different economies and types of production is laid out; scientific and practical problems of economy in the field of collaboration between state, science and industry are clearly defined. According to the purpose of the article (to specify scientific and practical tasks to rationalize scientific research, the experience gained is systematized and a scheme-matrix of scientific and practical problems is proposed. In scientific practice there are works highlighting principles of scientific research work, research tasks in the field of economy, scientific problems of economy but there are no works considering both principles and tasks of collaboration of academic economists with state and industry in order to provide scientists with recommendations on optimization of economic processes to improve the economic efficiency. Taking into account the experience gained, principles of collaboration of academic economists with the state and industry are identified. On the basis of the developed matrix of scientific and practical tasks, the principle of impact of political factors on managerial levers, the level of Gross Domestic Product and Gross Social Product is demonstrated.

  2. COLLABORATIVE NETWORK SECURITY MANAGEMENT SYSTEM BASED ON ASSOCIATION MINING RULE

    Directory of Open Access Journals (Sweden)

    Nisha Mariam Varughese

    2014-07-01

    Full Text Available Security is one of the major challenges in open network. There are so many types of attacks which follow fixed patterns or frequently change their patterns. It is difficult to find the malicious attack which does not have any fixed patterns. The Distributed Denial of Service (DDoS attacks like Botnets are used to slow down the system performance. To address such problems Collaborative Network Security Management System (CNSMS is proposed along with the association mining rule. CNSMS system is consists of collaborative Unified Threat Management (UTM, cloud based security centre and traffic prober. The traffic prober captures the internet traffic and given to the collaborative UTM. Traffic is analysed by the Collaborative UTM, to determine whether it contains any malicious attack or not. If any security event occurs, it will reports to the cloud based security centre. The security centre generates security rules based on association mining rule and distributes to the network. The cloud based security centre is used to store the huge amount of tragic, their logs and the security rule generated. The feedback is evaluated and the invalid rules are eliminated to improve the system efficiency.

  3. Network Analysis of an Emergent Massively Collaborative Creation on Video Sharing Website

    Science.gov (United States)

    Hamasaki, Masahiro; Takeda, Hideaki; Nishimura, Takuichi

    The Web technology enables numerous people to collaborate in creation. We designate it as massively collaborative creation via the Web. As an example of massively collaborative creation, we particularly examine video development on Nico Nico Douga, which is a video sharing website that is popular in Japan. We specifically examine videos on Hatsune Miku, a version of a singing synthesizer application software that has inspired not only song creation but also songwriting, illustration, and video editing. As described herein, creators of interact to create new contents through their social network. In this paper, we analyzed the process of developing thousands of videos based on creators' social networks and investigate relationships among creation activity and social networks. The social network reveals interesting features. Creators generate large and sparse social networks including some centralized communities, and such centralized community's members shared special tags. Different categories of creators have different roles in evolving the network, e.g., songwriters gather more links than other categories, implying that they are triggers to network evolution.

  4. Advanced wireless mobile collaborative sensing network for tactical and strategic missions

    Science.gov (United States)

    Xu, Hao

    2017-05-01

    In this paper, an advanced wireless mobile collaborative sensing network will be developed. Through properly combining wireless sensor network, emerging mobile robots and multi-antenna sensing/communication techniques, we could demonstrate superiority of developed sensing network. To be concrete, heterogeneous mobile robots including unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) are equipped with multi-model sensors and wireless transceiver antennas. Through real-time collaborative formation control, multiple mobile robots can team the best formation that can provide most accurate sensing results. Also, formatting multiple mobile robots can also construct a multiple-input multiple-output (MIMO) communication system that can provide a reliable and high performance communication network.

  5. Business Process Modeling Languages Supporting Collaborative Networks

    NARCIS (Netherlands)

    Soleimani Malekan, H.; Afsarmanesh, H.; Hammoudi, S.; Maciaszek, L.A.; Cordeiro, J.; Dietz, J.L.G.

    2013-01-01

    Formalizing the definition of Business Processes (BPs) performed within each enterprise is fundamental for effective deployment of their competencies and capabilities within Collaborative Networks (CN). In our approach, every enterprise in the CN is represented by its set of BPs, so that other

  6. Organization of Biomedical Data for Collaborative Scientific Research: A Research Information Management System.

    Science.gov (United States)

    Myneni, Sahiti; Patel, Vimla L

    2010-06-01

    Biomedical researchers often work with massive, detailed and heterogeneous datasets. These datasets raise new challenges of information organization and management for scientific interpretation, as they demand much of the researchers' time and attention. The current study investigated the nature of the problems that researchers face when dealing with such data. Four major problems identified with existing biomedical scientific information management methods were related to data organization, data sharing, collaboration, and publications. Therefore, there is a compelling need to develop an efficient and user-friendly information management system to handle the biomedical research data. This study evaluated the implementation of an information management system, which was introduced as part of the collaborative research to increase scientific productivity in a research laboratory. Laboratory members seemed to exhibit frustration during the implementation process. However, empirical findings revealed that they gained new knowledge and completed specified tasks while working together with the new system. Hence, researchers are urged to persist and persevere when dealing with any new technology, including an information management system in a research laboratory environment.

  7. Using Cloud-Computing Applications to Support Collaborative Scientific Inquiry: Examining Pre-Service Teachers' Perceived Barriers to Integration

    Science.gov (United States)

    Donna, Joel D.; Miller, Brant G.

    2013-01-01

    Technology plays a crucial role in facilitating collaboration within the scientific community. Cloud-computing applications, such as Google Drive, can be used to model such collaboration and support inquiry within the secondary science classroom. Little is known about pre-service teachers' beliefs related to the envisioned use of collaborative,…

  8. Research on mixed network architecture collaborative application model

    Science.gov (United States)

    Jing, Changfeng; Zhao, Xi'an; Liang, Song

    2009-10-01

    When facing complex requirements of city development, ever-growing spatial data, rapid development of geographical business and increasing business complexity, collaboration between multiple users and departments is needed urgently, however conventional GIS software (such as Client/Server model or Browser/Server model) are not support this well. Collaborative application is one of the good resolutions. Collaborative application has four main problems to resolve: consistency and co-edit conflict, real-time responsiveness, unconstrained operation, spatial data recoverability. In paper, application model called AMCM is put forward based on agent and multi-level cache. AMCM can be used in mixed network structure and supports distributed collaborative. Agent is an autonomous, interactive, initiative and reactive computing entity in a distributed environment. Agent has been used in many fields such as compute science and automation. Agent brings new methods for cooperation and the access for spatial data. Multi-level cache is a part of full data. It reduces the network load and improves the access and handle of spatial data, especially, in editing the spatial data. With agent technology, we make full use of its characteristics of intelligent for managing the cache and cooperative editing that brings a new method for distributed cooperation and improves the efficiency.

  9. Dynamic robustness of knowledge collaboration network of open source product development community

    Science.gov (United States)

    Zhou, Hong-Li; Zhang, Xiao-Dong

    2018-01-01

    As an emergent innovative design style, open source product development communities are characterized by a self-organizing, mass collaborative, networked structure. The robustness of the community is critical to its performance. Using the complex network modeling method, the knowledge collaboration network of the community is formulated, and the robustness of the network is systematically and dynamically studied. The characteristics of the network along the development period determine that its robustness should be studied from three time stages: the start-up, development and mature stages of the network. Five kinds of user-loss pattern are designed, to assess the network's robustness under different situations in each of these three time stages. Two indexes - the largest connected component and the network efficiency - are used to evaluate the robustness of the community. The proposed approach is applied in an existing open source car design community. The results indicate that the knowledge collaboration networks show different levels of robustness in different stages and different user loss patterns. Such analysis can be applied to provide protection strategies for the key users involved in knowledge dissemination and knowledge contribution at different stages of the network, thereby promoting the sustainable and stable development of the open source community.

  10. LeaRN: A Collaborative Learning-Research Network for a WLCG Tier-3 Centre

    Science.gov (United States)

    Pérez Calle, Elio

    2011-12-01

    The Department of Modern Physics of the University of Science and Technology of China is hosting a Tier-3 centre for the ATLAS experiment. A interdisciplinary team of researchers, engineers and students are devoted to the task of receiving, storing and analysing the scientific data produced by the LHC. In order to achieve the highest performance and to develop a knowledge base shared by all members of the team, the research activities and their coordination are being supported by an array of computing systems. These systems have been designed to foster communication, collaboration and coordination among the members of the team, both face-to-face and remotely, and both in synchronous and asynchronous ways. The result is a collaborative learning-research network whose main objectives are awareness (to get shared knowledge about other's activities and therefore obtain synergies), articulation (to allow a project to be divided, work units to be assigned and then reintegrated) and adaptation (to adapt information technologies to the needs of the group). The main technologies involved are Communication Tools such as web publishing, revision control and wikis, Conferencing Tools such as forums, instant messaging and video conferencing and Coordination Tools, such as time management, project management and social networks. The software toolkit has been deployed by the members of the team and it has been based on free and open source software.

  11. LeaRN: A Collaborative Learning-Research Network for a WLCG Tier-3 Centre

    International Nuclear Information System (INIS)

    Calle, Elio Pérez

    2011-01-01

    The Department of Modern Physics of the University of Science and Technology of China is hosting a Tier-3 centre for the ATLAS experiment. A interdisciplinary team of researchers, engineers and students are devoted to the task of receiving, storing and analysing the scientific data produced by the LHC. In order to achieve the highest performance and to develop a knowledge base shared by all members of the team, the research activities and their coordination are being supported by an array of computing systems. These systems have been designed to foster communication, collaboration and coordination among the members of the team, both face-to-face and remotely, and both in synchronous and asynchronous ways. The result is a collaborative learning-research network whose main objectives are awareness (to get shared knowledge about other's activities and therefore obtain synergies), articulation (to allow a project to be divided, work units to be assigned and then reintegrated) and adaptation (to adapt information technologies to the needs of the group). The main technologies involved are Communication Tools such as web publishing, revision control and wikis, Conferencing Tools such as forums, instant messaging and video conferencing and Coordination Tools, such as time management, project management and social networks. The software toolkit has been deployed by the members of the team and it has been based on free and open source software.

  12. A framework using cluster-based hybrid network architecture for collaborative virtual surgery.

    Science.gov (United States)

    Qin, Jing; Choi, Kup-Sze; Poon, Wai-Sang; Heng, Pheng-Ann

    2009-12-01

    Research on collaborative virtual environments (CVEs) opens the opportunity for simulating the cooperative work in surgical operations. It is however a challenging task to implement a high performance collaborative surgical simulation system because of the difficulty in maintaining state consistency with minimum network latencies, especially when sophisticated deformable models and haptics are involved. In this paper, an integrated framework using cluster-based hybrid network architecture is proposed to support collaborative virtual surgery. Multicast transmission is employed to transmit updated information among participants in order to reduce network latencies, while system consistency is maintained by an administrative server. Reliable multicast is implemented using distributed message acknowledgment based on cluster cooperation and sliding window technique. The robustness of the framework is guaranteed by the failure detection chain which enables smooth transition when participants join and leave the collaboration, including normal and involuntary leaving. Communication overhead is further reduced by implementing a number of management approaches such as computational policies and collaborative mechanisms. The feasibility of the proposed framework is demonstrated by successfully extending an existing standalone orthopedic surgery trainer into a collaborative simulation system. A series of experiments have been conducted to evaluate the system performance. The results demonstrate that the proposed framework is capable of supporting collaborative surgical simulation.

  13. Computer Networking Strategies for Building Collaboration among Science Educators.

    Science.gov (United States)

    Aust, Ronald

    The development and dissemination of science materials can be associated with technical delivery systems such as the Unified Network for Informatics in Teacher Education (UNITE). The UNITE project was designed to investigate ways for using computer networking to improve communications and collaboration among university schools of education and…

  14. Developing A Large-Scale, Collaborative, Productive Geoscience Education Network

    Science.gov (United States)

    Manduca, C. A.; Bralower, T. J.; Egger, A. E.; Fox, S.; Ledley, T. S.; Macdonald, H.; Mcconnell, D. A.; Mogk, D. W.; Tewksbury, B. J.

    2012-12-01

    Over the past 15 years, the geoscience education community has grown substantially and developed broad and deep capacity for collaboration and dissemination of ideas. While this community is best viewed as emergent from complex interactions among changing educational needs and opportunities, we highlight the role of several large projects in the development of a network within this community. In the 1990s, three NSF projects came together to build a robust web infrastructure to support the production and dissemination of on-line resources: On The Cutting Edge (OTCE), Earth Exploration Toolbook, and Starting Point: Teaching Introductory Geoscience. Along with the contemporaneous Digital Library for Earth System Education, these projects engaged geoscience educators nationwide in exploring professional development experiences that produced lasting on-line resources, collaborative authoring of resources, and models for web-based support for geoscience teaching. As a result, a culture developed in the 2000s in which geoscience educators anticipated that resources for geoscience teaching would be shared broadly and that collaborative authoring would be productive and engaging. By this time, a diverse set of examples demonstrated the power of the web infrastructure in supporting collaboration, dissemination and professional development . Building on this foundation, more recent work has expanded both the size of the network and the scope of its work. Many large research projects initiated collaborations to disseminate resources supporting educational use of their data. Research results from the rapidly expanding geoscience education research community were integrated into the Pedagogies in Action website and OTCE. Projects engaged faculty across the nation in large-scale data collection and educational research. The Climate Literacy and Energy Awareness Network and OTCE engaged community members in reviewing the expanding body of on-line resources. Building Strong

  15. RCNF: Real-time Collaborative Network Forensic Scheme for Evidence Analysis

    OpenAIRE

    Moustafa, Nour; Slay, Jill

    2017-01-01

    Network forensic techniques help in tracking different types of cyber attack by monitoring and inspecting network traffic. However, with the high speed and large sizes of current networks, and the sophisticated philosophy of attackers, in particular mimicking normal behaviour and/or erasing traces to avoid detection, investigating such crimes demands intelligent network forensic techniques. This paper suggests a real-time collaborative network Forensic scheme (RCNF) that can monitor and inves...

  16. Collaborative Visualization Project: shared-technology learning environments for science learning

    Science.gov (United States)

    Pea, Roy D.; Gomez, Louis M.

    1993-01-01

    Project-enhanced science learning (PESL) provides students with opportunities for `cognitive apprenticeships' in authentic scientific inquiry using computers for data-collection and analysis. Student teams work on projects with teacher guidance to develop and apply their understanding of science concepts and skills. We are applying advanced computing and communications technologies to augment and transform PESL at-a-distance (beyond the boundaries of the individual school), which is limited today to asynchronous, text-only networking and unsuitable for collaborative science learning involving shared access to multimedia resources such as data, graphs, tables, pictures, and audio-video communication. Our work creates user technology (a Collaborative Science Workbench providing PESL design support and shared synchronous document views, program, and data access; a Science Learning Resource Directory for easy access to resources including two-way video links to collaborators, mentors, museum exhibits, media-rich resources such as scientific visualization graphics), and refine enabling technologies (audiovisual and shared-data telephony, networking) for this PESL niche. We characterize participation scenarios for using these resources and we discuss national networked access to science education expertise.

  17. Experiment in Collaborative Learning Network for Enhanced ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    ... process and results of collaborative networking in a particular region and on a specific theme. They will share knowledge in the form of thematic information, best practices, policy analysis, practical methodologies and tools, online courses and seminars, coaching and mentoring, face-to-face exchanges, and workshops.

  18. On-demand Overlay Networks for Large Scientific Data Transfers

    Energy Technology Data Exchange (ETDEWEB)

    Ramakrishnan, Lavanya [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Guok, Chin [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Jackson, Keith [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Kissel, Ezra [Univ. of Delaware, Newark, DE (United States); Swany, D. Martin [Univ. of Delaware, Newark, DE (United States); Agarwal, Deborah [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2009-10-12

    Large scale scientific data transfers are central to scientific processes. Data from large experimental facilities have to be moved to local institutions for analysis or often data needs to be moved between local clusters and large supercomputing centers. In this paper, we propose and evaluate a network overlay architecture to enable highthroughput, on-demand, coordinated data transfers over wide-area networks. Our work leverages Phoebus and On-demand Secure Circuits and AdvanceReservation System (OSCARS) to provide high performance wide-area network connections. OSCARS enables dynamic provisioning of network paths with guaranteed bandwidth and Phoebus enables the coordination and effective utilization of the OSCARS network paths. Our evaluation shows that this approach leads to improved end-to-end data transfer throughput with minimal overheads. The achievedthroughput using our overlay was limited only by the ability of the end hosts to sink the data.

  19. Improving collaboration between primary care research networks using Access Grid technology

    Directory of Open Access Journals (Sweden)

    Zsolt Nagykaldi

    2008-05-01

    Full Text Available Access Grid (AG is an Internet2-driven, high performance audio_visual conferencing technology used worldwide by academic and government organisations to enhance communication, human interaction and group collaboration. AG technology is particularly promising for improving academic multi-centre research collaborations. This manuscript describes how the AG technology was utilised by the electronic Primary Care Research Network (ePCRN that is part of the National Institutes of Health (NIH Roadmap initiative to improve primary care research and collaboration among practice- based research networks (PBRNs in the USA. It discusses the design, installation and use of AG implementations, potential future applications, barriers to adoption, and suggested solutions.

  20. Developing Principal Instructional Leadership through Collaborative Networking

    Science.gov (United States)

    Cone, Mariah Bahar

    2010-01-01

    This study examines what occurs when principals of urban schools meet together to learn and improve their instructional leadership in collaborative principal networks designed to support, sustain, and provide ongoing principal capacity building. Principal leadership is considered second only to teaching in its ability to improve schools, yet few…

  1. A Field Experiment on Search Costs and the Formation of Scientific Collaborations.

    Science.gov (United States)

    Boudreau, Kevin J; Brady, Tom; Ganguli, Ina; Gaule, Patrick; Guinan, Eva; Hollenberg, Anthony; Lakhani, Karim R

    2017-10-01

    We present the results of a field experiment conducted at Harvard Medical School to understand the extent to which search costs affect matching among scientific collaborators. We generated exogenous variation in search costs for pairs of potential collaborators by randomly assigning individuals to 90-minute structured information-sharing sessions as part of a grant funding opportunity. We estimate that the treatment increases the probability of grant co-application of a given pair of researchers by 75%. The findings suggest that matching between scientists is subject to considerable frictions, even in the case of geographically-proximate scientists working in the same institutional context.

  2. Interest in Collaborative, Practice-Based Research Networks in Pediatric Refugee Health Care.

    Science.gov (United States)

    Shah, Sural; Yun, Katherine

    2018-02-01

    Over the last decade, approximately 200,000 refugee children have resettled across the United States. This population is dispersed, resulting in limited data. Collaborative research networks, where clinicians across distinct practice sites work together to answer research questions, can improve the evidence base regarding clinical care. We distributed a web-based survey to pediatric refugee providers around North America to assess priorities, perceived barriers and benefits to collaborative research. We recruited 57 participants. Of respondents, 89 % were interested in collaborative research, prioritizing: (1) access to health care (33 %), (2) mental health (24 %) and (3) nutrition/growth (24 %). Perceived benefits were "improving clinical practice" (98 %) and "raising awareness about the needs of pediatric refugees" (94 %). Perceived barriers were "too many other priorities" (89 %) and "lack of funding for data entry" (78 %). There is widespread interest in collaborative networks around pediatric refugee healthcare. A successful network will address barriers and emphasize priorities.

  3. Scientific production of brazilian researchers who filed patents in the area of biotechnology from 2001 to 2005: institutional and interpersonal collaboration

    Directory of Open Access Journals (Sweden)

    Ana Maria Mielniczuk de Moura

    2010-05-01

    Full Text Available Analyzes the scientific production of researchers who deposited patents in the field of Biotechnology in the period from 2001 to 2005. From a scientometric approach, aims to reveal the inter-institutional collaboration and interpersonal existing. The corpus is based on 2584 items collected in WebofScience. We used the methodology of Social Network Analysis and MDS to observe the formation of clusters of authors and institutions. The results indicate that to most of the articles has up to three institutions involved in field C1, because 88.7% of cases present themselves in this way. It was observed that the scientific production is concentrated in a few institutions, led by public universities (federal and state and research institutions of repute. Among the universities, the most productive are the USP, UNICAMP, UNESP and UFRJ, and between research institutions, have highlighted the FIOCRUZ, Instituto Butantan and EMBRAPA. Some institutions have a regional pattern of collaboration, since they have only interaction with other institutions closer geographically to form regional clusters with motivation. The most productive authors are not in the top positions in the ranking by outdegree, meaning the centrality is not directly related to productivity. It was observed that the interpersonal collaboration is strengthened after the partnership formed by the bond created in graduate school, as many partnerships have been formed from this type of relationship, with significant production between agents and targeted.

  4. A Framework for Collaborative Networked Learning in Higher Education: Design & Analysis

    Directory of Open Access Journals (Sweden)

    Ghassan F. Issa

    2014-06-01

    Full Text Available This paper presents a comprehensive framework for building collaborative learning networks within higher educational institutions. This framework focuses on systems design and implementation issues in addition to a complete set of evaluation, and analysis tools. The objective of this project is to improve the standards of higher education in Jordan through the implementation of transparent, collaborative, innovative, and modern quality educational programs. The framework highlights the major steps required to plan, design, and implement collaborative learning systems. Several issues are discussed such as unification of courses and program of studies, using appropriate learning management system, software design development using Agile methodology, infrastructure design, access issues, proprietary data storage, and social network analysis (SNA techniques.

  5. Next Generation Integrated Environment for Collaborative Work Across Internets

    Energy Technology Data Exchange (ETDEWEB)

    Harvey B. Newman

    2009-02-24

    We are now well-advanced in our development, prototyping and deployment of a high performance next generation Integrated Environment for Collaborative Work. The system, aimed at using the capability of ESnet and Internet2 for rapid data exchange, is based on the Virtual Room Videoconferencing System (VRVS) developed by Caltech. The VRVS system has been chosen by the Internet2 Digital Video (I2-DV) Initiative as a preferred foundation for the development of advanced video, audio and multimedia collaborative applications by the Internet2 community. Today, the system supports high-end, broadcast-quality interactivity, while enabling a wide variety of clients (Mbone, H.323) to participate in the same conference by running different standard protocols in different contexts with different bandwidth connection limitations, has a fully Web-integrated user interface, developers and administrative APIs, a widely scalable video network topology based on both multicast domains and unicast tunnels, and demonstrated multiplatform support. This has led to its rapidly expanding production use for national and international scientific collaborations in more than 60 countries. We are also in the process of creating a 'testbed video network' and developing the necessary middleware to support a set of new and essential requirements for rapid data exchange, and a high level of interactivity in large-scale scientific collaborations. These include a set of tunable, scalable differentiated network services adapted to each of the data streams associated with a large number of collaborative sessions, policy-based and network state-based resource scheduling, authentication, and optional encryption to maintain confidentiality of inter-personal communications. High performance testbed video networks will be established in ESnet and Internet2 to test and tune the implementation, using a few target application-sets.

  6. Combining Community Engagement and Scientific Approaches in Next-Generation Monitor Siting: The Case of the Imperial County Community Air Network

    Directory of Open Access Journals (Sweden)

    Michelle Wong

    2018-03-01

    Full Text Available Air pollution continues to be a global public health threat, and the expanding availability of small, low-cost air sensors has led to increased interest in both personal and crowd-sourced air monitoring. However, to date, few low-cost air monitoring networks have been developed with the scientific rigor or continuity needed to conduct public health surveillance and inform policy. In Imperial County, California, near the U.S./Mexico border, we used a collaborative, community-engaged process to develop a community air monitoring network that attains the scientific rigor required for research, while also achieving community priorities. By engaging community residents in the project design, monitor siting processes, data dissemination, and other key activities, the resulting air monitoring network data are relevant, trusted, understandable, and used by community residents. Integration of spatial analysis and air monitoring best practices into the network development process ensures that the data are reliable and appropriate for use in research activities. This combined approach results in a community air monitoring network that is better able to inform community residents, support research activities, guide public policy, and improve public health. Here we detail the monitor siting process and outline the advantages and challenges of this approach.

  7. Improving Researcher-Patient Collaboration through Social Network Websites

    OpenAIRE

    Akindayo, Olayiwola; Dopgima, Cynthia

    2012-01-01

    Purpose: The main purpose of this study/thesis is to, through an interview with researchers in medical field in Jönköping,  provide an empirical analysis of the link or relationship between medical researcher and patient through social networking sites specifically for collaboration in order to improve relationships, dissemination of information and knowledge sharing. Background: The importance of social networking websites as a means of interaction between groups of individuals cannot be und...

  8. Global research collaboration: Networks and partners in South East Asia

    OpenAIRE

    Woolley, Richard; Robinson-Garcia, Nicolas; Costas, Rodrigo

    2017-01-01

    This is an empirical paper that addresses the role of bilateral and multilateral international co-authorships in the six leading science systems among the ASEAN group of countries (ASEAN6). The paper highlights the different ways that bilateral and multilateral co-authorships structure global networks and the collaborations of the ASEAN6. The paper looks at the influence of the collaboration styles of major collaborating countries of the ASEAN6, particularly the USA and Japan. It also highlig...

  9. Related work on reference modeling for collaborative networks

    NARCIS (Netherlands)

    Afsarmanesh, H.; Camarinha-Matos, L.M.; Camarinha-Matos, L.M.; Afsarmanesh, H.

    2008-01-01

    Several international research and development initiatives have led to development of models for organizations and organization interactions. These models and their approaches constitute a background for development of reference models for collaborative networks. A brief survey of work on modeling

  10. Evolving patterns in a collaboration network of global R&D on monoclonal antibodies.

    Science.gov (United States)

    Kong, Xiangjun; Wan, Jian-Bo; Hu, Hao; Su, Shibing; Hu, Yuanjia

    2017-10-01

    We investigated the evolution process of collaborative inter-organizational network of the research and development (R&D) on monoclonal antibody (mAb) over the past 30 y. The annual detection of the collaboration network provides dynamics on network structures and relationship changes among different organizations. Our research showed continuous growth of the network's scale and complexity due to the constant entry of new organizations and the forging of new partnering relationships. The evolving topological features reveal a core-periphery structure that became clearer over time and an increasing heterogeneity within the collaborative mAb R&D network. As measured by the number of network participants, dedicated biotechnology firms (DBFs) were the dominant organization form in the field of mAb development, but their average centrality was reduced during the period of 2004-2009, when pharmaceutical companies took over the positions of DBFs. Along with the network evolution, 2 waves of substitution on the leading positions were driven by technological innovations and mergers and acquisitions (M&A). In addition, this study analyzed organizational-level behaviors to help understand the evolution of network structures over the field of mAb development across the different technologically innovative or economic contexts.

  11. Networking: a study in planning and developing cross-cultural collaboration

    Directory of Open Access Journals (Sweden)

    Sanjeev Singh

    2002-12-01

    Full Text Available This paper reports on a collaboration between the authors at the University of Brighton (UK and the University of Delhi, South Campus. The collaboration came about as a result of the EU-India Cross-Cultural Innovation Network collaboration programme, a project involving several universities and organizations across Europe and India. The authors of this paper both lecture in the area of computer networking. Following meetings in Delhi, they agreed to work together to produce a Web-based networking resource to be generated by the students of both institutions. The first phase of development involved the mounting of Web-based tutorials and documents produced by the students. The second phase will centre on the development of a knowledge base generated by the interaction of the students within an asynchronous forum. Running alongside these phases will be a collaborative bookmarking system, a database in which the students will post URLs of Web-based resources that they find useful in their studies. This system incorporates a form of collaborative filtering, an evolutionary mechanism which seeks to embody the qualities that students value in resources to provide a dynamic set of ratings to assist in the selection of those of most use. The planning of such a system raises some unusual issues, not least in the process of collaboration itself, with concerns as diverse as technical compatibility, institutional and cultural differences, timezones and the reliability of email. Limited bandwidth between our institutions causes special problems with the interactive elements of the resource. We present the methods we are investigating to reduce the impact of this. The fact that the students share an intellectual discipline but are otherwise separated by a cultural and geographical divide is expected to lead to fruitful diversity in thinking and approaches to problem-solving.

  12. HRM implications for network collaboration of small and medium sized companies

    DEFF Research Database (Denmark)

    Kesting, Peter; Müller, Sabine; Jørgensen, Frances

    Collaboration in innovation networks is particularly important for small and medium enterprises (SMEs) to remain competitive in a rapidly changing environment. Collaboration may however be particularly challenging for SMEs, due to their size and their inherent shortage of resources. In this paper...

  13. Wikipedias: Collaborative web-based encyclopedias as complex networks

    Science.gov (United States)

    Zlatić, V.; Božičević, M.; Štefančić, H.; Domazet, M.

    2006-07-01

    Wikipedia is a popular web-based encyclopedia edited freely and collaboratively by its users. In this paper we present an analysis of Wikipedias in several languages as complex networks. The hyperlinks pointing from one Wikipedia article to another are treated as directed links while the articles represent the nodes of the network. We show that many network characteristics are common to different language versions of Wikipedia, such as their degree distributions, growth, topology, reciprocity, clustering, assortativity, path lengths, and triad significance profiles. These regularities, found in the ensemble of Wikipedias in different languages and of different sizes, point to the existence of a unique growth process. We also compare Wikipedias to other previously studied networks.

  14. Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.

    Science.gov (United States)

    Chen, Chen; Tong, Hanghang; Xie, Lei; Ying, Lei; He, Qing

    2017-08-01

    The increasingly connected world has catalyzed the fusion of networks from different domains, which facilitates the emergence of a new network model-multi-layered networks. Examples of such kind of network systems include critical infrastructure networks, biological systems, organization-level collaborations, cross-platform e-commerce, and so forth. One crucial structure that distances multi-layered network from other network models is its cross-layer dependency, which describes the associations between the nodes from different layers. Needless to say, the cross-layer dependency in the network plays an essential role in many data mining applications like system robustness analysis and complex network control. However, it remains a daunting task to know the exact dependency relationships due to noise, limited accessibility, and so forth. In this article, we tackle the cross-layer dependency inference problem by modeling it as a collective collaborative filtering problem. Based on this idea, we propose an effective algorithm Fascinate that can reveal unobserved dependencies with linear complexity. Moreover, we derive Fascinate-ZERO, an online variant of Fascinate that can respond to a newly added node timely by checking its neighborhood dependencies. We perform extensive evaluations on real datasets to substantiate the superiority of our proposed approaches.

  15. Science Camps in Europe--Collaboration with Companies and School, Implications and Results on Scientific Literacy

    Science.gov (United States)

    Lindner, M.; Kubat, C.

    2014-01-01

    The paper informs on the characteristics of a Comenius Network of seven organizations, who are collaborating in exchanging best practice on science camps. This exchange includes evaluation results on more science camps of European organizations, which will deliver information on organization, collaboration with companies, pedagogical aspects, as…

  16. Social Learning Networks: Build Mobile Learning Networks Based on Collaborative Services

    Science.gov (United States)

    Huang, Jeff J. S.; Yang, Stephen J. H.; Huang, Yueh-Min; Hsiao, Indy Y. T.

    2010-01-01

    Recently, the rising of Web 2.0 has made online community gradually become popular, like Facebook, blog, etc. As a result, the online knowledge sharing network formed by interpersonal interaction is now a major character of Web 2.0, and therefore, by this trend, we try to build up a collaborative service mechanism and further set up an analysis…

  17. Citizen Science in Planetary Sciences: Intersection of Scientific Research and Amateur Networks

    Science.gov (United States)

    Yanamandra-Fisher, Padma A.

    2014-11-01

    The Pro-Am Collaborative Astronomy (PACA) project evolved from the observational campaign of C/2012 S1 or C/ISON in 2013. Following the success of the professional-amateur astronomer collaboration in scientific research via social media, it is now implemented in other comet observing campaigns. While PACA identifies a consistent collaborative approach to pro-am collaborations, given the volume of data generated for each campaign, new ways of rapid data analysis, mining access and storage are needed. Several interesting results emerged from the synergistic inclusion of both social media and amateur astronomers:(1) the establishment of a network of astronomers and related professionals, that canbe galvanized into action on short notice to support observing campaigns;(2) assist in various science investigations pertinent to the campaign;(3) provide an alert-sounding mechanism should the need arise;(4) immediate outreach and dissemination of results via our media/blogger members;(5) provide a forum for discussions between the imagers and modelers to helpstrategize the observing campaign for maximum benefit.In 2014, two new comet observing campaigns involving pro-am collaborations have been initiated: (1) C/2013 A1 (C/SidingSpring) and (2) 67P/Churyumov-Gerasimenko (CG), target for ESA/Rosetta mission. The evolving need for individual customized observing campaigns has been incorporated into the evolution of PACA portal that currently is focused on comets: from supporting observing campaigns of current comets, legacy data, historical comets; interconnected with social media and a set of shareable documents addressing observational strategies; consistent standards for data; data access, use, and storage, to align with the needs of professional observers. The integration of science, observations by professional and amateur astronomers, and various social media provides a dynamic and evolving collaborative partnership between professional and amateur astronomers. The

  18. The development of a network for community-based obesity prevention: the CO-OPS Collaboration

    Science.gov (United States)

    2011-01-01

    Background Community-based interventions are a promising approach and an important component of a comprehensive response to obesity. In this paper we describe the Collaboration of COmmunity-based Obesity Prevention Sites (CO-OPS Collaboration) in Australia as an example of a collaborative network to enhance the quality and quantity of obesity prevention action at the community level. The core aims of the CO-OPS Collaboration are to: identify and analyse the lessons learned from a range of community-based initiatives aimed at tackling obesity, and; to identify the elements that make community-based obesity prevention initiatives successful and share the knowledge gained with other communities. Methods Key activities of the collaboration to date have included the development of a set of Best Practice Principles and knowledge translation and exchange activities to promote the application (or use) of evidence, evaluation and analysis in practice. Results The establishment of the CO-OPS Collaboration is a significant step toward strengthening action in this area, by bringing together research, practice and policy expertise to promote best practice, high quality evaluation and knowledge translation and exchange. Future development of the network should include facilitation of further evidence generation and translation drawing from process, impact and outcome evaluation of existing community-based interventions. Conclusions The lessons presented in this paper may help other networks like CO-OPS as they emerge around the globe. It is important that networks integrate with each other and share the experience of creating these networks. PMID:21349185

  19. Do learning collaboratives strengthen communication? A comparison of organizational team communication networks over time.

    Science.gov (United States)

    Bunger, Alicia C; Lengnick-Hall, Rebecca

    Collaborative learning models were designed to support quality improvements, such as innovation implementation by promoting communication within organizational teams. Yet the effect of collaborative learning approaches on organizational team communication during implementation is untested. The aim of this study was to explore change in communication patterns within teams from children's mental health organizations during a year-long learning collaborative focused on implementing a new treatment. We adopt a social network perspective to examine intraorganizational communication within each team and assess change in (a) the frequency of communication among team members, (b) communication across organizational hierarchies, and (c) the overall structure of team communication networks. A pretest-posttest design compared communication among 135 participants from 21 organizational teams at the start and end of a learning collaborative. At both time points, participants were asked to list the members of their team and rate the frequency of communication with each along a 7-point Likert scale. Several individual, pair-wise, and team level communication network metrics were calculated and compared over time. At the individual level, participants reported communicating with more team members by the end of the learning collaborative. Cross-hierarchical communication did not change. At the team level, these changes manifested differently depending on team size. In large teams, communication frequency increased, and networks grew denser and slightly less centralized. In small teams, communication frequency declined, growing more sparse and centralized. Results suggest that team communication patterns change minimally but evolve differently depending on size. Learning collaboratives may be more helpful for enhancing communication among larger teams; thus, managers might consider selecting and sending larger staff teams to learning collaboratives. This study highlights key future

  20. A joint classification method to integrate scientific and social networks

    NARCIS (Netherlands)

    Neshati, Mahmood; Asgari, Ehsaneddin; Hiemstra, Djoerd; Beigy, Hamid

    In this paper, we address the problem of scientific-social network integration to find a matching relationship between members of these networks. Utilizing several name similarity patterns and contextual properties of these networks, we design a focused crawler to find high probable matching pairs,

  1. E-Services quality assessment framework for collaborative networks

    Science.gov (United States)

    Stegaru, Georgiana; Danila, Cristian; Sacala, Ioan Stefan; Moisescu, Mihnea; Mihai Stanescu, Aurelian

    2015-08-01

    In a globalised networked economy, collaborative networks (CNs) are formed to take advantage of new business opportunities. Collaboration involves shared resources and capabilities, such as e-Services that can be dynamically composed to automate CN participants' business processes. Quality is essential for the success of business process automation. Current approaches mostly focus on quality of service (QoS)-based service selection and ranking algorithms, overlooking the process of service composition which requires interoperable, adaptable and secure e-Services to ensure seamless collaboration, data confidentiality and integrity. Lack of assessment of these quality attributes can result in e-Service composition failure. The quality of e-Service composition relies on the quality of each e-Service and on the quality of the composition process. Therefore, there is the need for a framework that addresses quality from both views: product and process. We propose a quality of e-Service composition (QoESC) framework for quality assessment of e-Service composition for CNs which comprises of a quality model for e-Service evaluation and guidelines for quality of e-Service composition process. We implemented a prototype considering a simplified telemedicine use case which involves a CN in e-Healthcare domain. To validate the proposed quality-driven framework, we analysed service composition reliability with and without using the proposed framework.

  2. Co-creation and Co-innovation in a Collaborative Networked Environment

    Science.gov (United States)

    Klen, Edmilson Rampazzo

    Leveraged by the advances in communication and information Technologies, producers and consumers are developing a new behavior. Together with the new emerging collaborative manifestations this behavior may directly impact the way products are developed. This powerful combination indicates that consumers will be involved in a very early stage in product development processes supporting even more the creation and innovation of products. This new way of collaboration gives rise to a new collaborative networked environment based on co-creation and co-innovation. This work will present some evolutionary steps that point to the development of this environment where prosumer communities and virtual organizations interact and collaborate.

  3. Unbalanced international collaboration affects adversely the usefulness of countries' scientific output as well as their technological and social impact.

    Science.gov (United States)

    Zanotto, Sonia R; Haeffner, Cristina; Guimarães, Jorge A

    The unbalanced international scientific collaboration as cause of misleading information on the country's contribution to the scientific world output was analyzed. ESI Data Base (Thomson Reuters' InCites), covering the scientific production of 217 active countries in the period 2010-2014 was used. International collaboration implicates in a high percentage (33.1 %) of double-counted world articles, thus impacting qualitative data as citations, impact and impact relative to word. The countries were divided into three groups, according to their individual contribution to the world publications: Group I (24 countries, at least 1 %) representing 83.9 % of the total double-counted world articles. Group II (40 countries, 0.1-0.99 % each). Group III, 153 countries (70.5 %) with international collaboration were: Group I, 43.0 %; Group II, 55.8 % and Group III, 85.2 %. We concluded that very high and unbalanced international collaboration, as presented by many countries, misrepresent the importance of their scientific production, technological and social outputs. Furthermore, it jeopardizes qualitative outputs of the countries themselves, artificially increasing their scientific impact, affecting all fields and therefore, the whole world. The data confirm that when dealing with the qualitative contribution of countries, it is necessary to take in consideration the level of international cooperation because, as seen here, it can and in fact it does create false impression of the real contribution of countries.

  4. Collaborative Distributed Scheduling Approaches for Wireless Sensor Network

    Science.gov (United States)

    Niu, Jianjun; Deng, Zhidong

    2009-01-01

    Energy constraints restrict the lifetime of wireless sensor networks (WSNs) with battery-powered nodes, which poses great challenges for their large scale application. In this paper, we propose a family of collaborative distributed scheduling approaches (CDSAs) based on the Markov process to reduce the energy consumption of a WSN. The family of CDSAs comprises of two approaches: a one-step collaborative distributed approach and a two-step collaborative distributed approach. The approaches enable nodes to learn the behavior information of its environment collaboratively and integrate sleep scheduling with transmission scheduling to reduce the energy consumption. We analyze the adaptability and practicality features of the CDSAs. The simulation results show that the two proposed approaches can effectively reduce nodes' energy consumption. Some other characteristics of the CDSAs like buffer occupation and packet delay are also analyzed in this paper. We evaluate CDSAs extensively on a 15-node WSN testbed. The test results show that the CDSAs conserve the energy effectively and are feasible for real WSNs. PMID:22408491

  5. Social Networking Tools to Facilitate Cross-Program Collaboration

    Science.gov (United States)

    Wallace, Paul; Howard, Barbara

    2010-01-01

    Students working on a highly collaborative project used social networking technology for community building activities as well as basic project-related communication. Requiring students to work on cross-program projects gives them real-world experience working in diverse, geographically dispersed groups. An application used at Appalachian State…

  6. Scientific Management in Higher Education: Concerns and Using Collaborative School Management to Improve Communication.

    Science.gov (United States)

    Koermer, Chas; Petelle, John

    1996-01-01

    Explores problems associated with using "scientific management" ideals as a means of governance in higher education. Discusses hierarchial control, fitting in, paper bureaucracy, and committees. Describes the Collaborative School Management technique and how it fosters a more productive communication environment and facilitates…

  7. Collaborative Learning in the Scientific Community of Practice

    International Nuclear Information System (INIS)

    Jesionkowska, J.

    2016-01-01

    Full text: The paper describes research done in the scope of doctoral project. The aim of the study is to discover how to improve the process of collaborative learning in the community of scientists by the development of a community of practice. A mixed methods approach was used combining data from content analysis, interviews and questionnaires. Results show that such community helps to build relationships and network with others, it motivates to share work-related knowledge, represents an area of common interest for organization, but also that it is mainly driven by the willingness of members and is lacking instruments to share ideas. (author

  8. Towards Effective Trust-Based Packet Filtering in Collaborative Network Environments

    DEFF Research Database (Denmark)

    Meng, Weizhi; Li, Wenjuan; Kwok, Lam-For

    2017-01-01

    compromised by insider attacks. In this paper, we adopt the existing CIDN framework and aim to apply a collaborative trust-based approach to reduce unwanted packets. More specifically, we develop a collaborative trust-based packet filter, which can be deployed in collaborative networks and be robust against...... typical insider attacks (e.g., betrayal attacks). Experimental results in various simulated and practical environments demonstrate that our filter can perform effectively in reducing unwanted traffic and can defend against insider attacks through identifying malicious nodes in a quick manner, as compared...

  9. CEEPRA - Collaboration Network on EuroArctic Environmental Radiation Protection and Research

    Energy Technology Data Exchange (ETDEWEB)

    Solatie, D.; Leppaenen, A.P. [STUK-Radiation and Nuclear Safety Authority (Finland); Kasatkina, N. [Murmansk Marine Biological Institute (Russian Federation); Nalbandyan, A. [Norwegian Radiation Protection Authority (Norway); Paatero, J. [Finnish Meteorological Institute (Finland); Reinikainen, K.; Nissi, M. [Poeyry Finland Oy (Finland); Vaaramaa, K. [Radiation and Nuclear Safety Authority (Finland)

    2014-07-01

    CEEPRA (Collaboration Network on EuroArctic Environmental Radiation Protection and Research) is an EU-funded project acting under the Kolarctic ENPI CBC programme. The CEEPRA project's main aim is to develop a collaboration network between key radiation research institutions in the EuroArctic region, which will lead to improved emergency preparedness capabilities in the event of any nuclear accidents. The project is studying the current state of radioactive contamination in the terrestrial and marine ecosystems in the EuroArctic region by examining environmental samples collected from Lapland in Finland, Finnmark and Troms in Norway, the Kola Peninsula in Russia and in the Barents Sea. The results provide updated information on the present levels, occurrence and the fate of radioactive substances in the Arctic environments and food chains. Special attention is given to collection and analyses of natural products widely used by general public in Finland, Russia and Norway, such as berries, mushrooms, fish and reindeer meat. The region-specific risk assessments are carried out through modelling and studying of long-term effects of potential nuclear accidents in the EuroArctic region and possible impacts on the region's indigenous population, terrestrial and marine environments, reindeer husbandry, the natural product sector, tourism and industries. The project partners are Radiation and Nuclear Safety Authority (STUK) from Finland, the Murmansk Marine Biological Institute (MMBI) from Russia, the Norwegian Radiation Protection Authority (NRPA), Finnish Meteorological Institute and Poeyry Finland Oy. The Southern Scientific Centre of the Russian Academy of Sciences (SSC RAS) and Norwegian Meteorological Institute (MET) are taking part in the project as well. The main results of the project are presented in this study. Document available in abstract form only. (authors)

  10. Heroin assisted treatment and research networks

    DEFF Research Database (Denmark)

    Houborg, Esben; Munksgaard, Rasmus

    2015-01-01

    Purpose – The purpose of this paper is to map research communities related to heroin-assisted treatment (HAT) and the scientific network they are part of to determine their structure and content. Design/methodology/approach – Co-authorship as the basis for conducting social network analysis....... In total, 11 research communities were constructed with different scientific content. HAT research communities are closely connected to medical, psychiatric, and epidemiological research and very loosely connected to social research. Originality/value – The first mapping of the collaborative network HAT...... researchers using social network methodology...

  11. VRML and Collaborative Environments: New Tools for Networked Visualization

    Science.gov (United States)

    Crutcher, R. M.; Plante, R. L.; Rajlich, P.

    We present two new applications that engage the network as a tool for astronomical research and/or education. The first is a VRML server which allows users over the Web to interactively create three-dimensional visualizations of FITS images contained in the NCSA Astronomy Digital Image Library (ADIL). The server's Web interface allows users to select images from the ADIL, fill in processing parameters, and create renderings featuring isosurfaces, slices, contours, and annotations; the often extensive computations are carried out on an NCSA SGI supercomputer server without the user having an individual account on the system. The user can then download the 3D visualizations as VRML files, which may be rotated and manipulated locally on virtually any class of computer. The second application is the ADILBrowser, a part of the NCSA Horizon Image Data Browser Java package. ADILBrowser allows a group of participants to browse images from the ADIL within a collaborative session. The collaborative environment is provided by the NCSA Habanero package which includes text and audio chat tools and a white board. The ADILBrowser is just an example of a collaborative tool that can be built with the Horizon and Habanero packages. The classes provided by these packages can be assembled to create custom collaborative applications that visualize data either from local disk or from anywhere on the network.

  12. SCIENTIFIC PROGRESS OF THE MC-PAD NETWORK

    CERN Document Server

    Aguilar, J; Ambalathankandy, P; Apostolakis, J; Arora, R; Balog, T; Behnke, T; Beltrame, P; Bencivenni, G; Caiazza, S; Dong, J; Heller, M; Heuser, J; Idzik, M; Joram, C; Klanner, R; Koffeman, E; Korpar, S; Kramberger, G; Lohmann, W; Milovanović, M; Miscetti, S; Moll, M; Novgorodova, O; Pacifico, N; Pirvutoiu, C; Radu, R; Rahman, S; Rohe, T; Ropelewski, L; Roukoutakis, F; Schmidt, C; Schön, R; Sibille, J; Tsagri, M; Turala, M; Van Beuzekom, M; Verheyden, R; Villa, M; Zappon, F; Zawiejski, L; Zhang, J

    2013-01-01

    MC-PAD is a multi-site Initial Training Network on particle detectors in physics experiments. It comprises nine academic participants, three industrial partners and two associated academic partners. 17 recruited Early Stage and 5 Experienced Researchers have performed their scientific work in the network. The research and development work of MC-PAD is organized in 12 work packages, which focus on a large variety of aspects of particle detector development, electronics as well as simulation and modelling. The network was established in November 2008 and lasted until October 2012 (48 months). This report describes the R&D activities and highlights the main results achieved during this period.

  13. E-Center: A Collaborative Platform for Wide Area Network Users

    Science.gov (United States)

    Grigoriev, M.; DeMar, P.; Tierney, B.; Lake, A.; Metzger, J.; Frey, M.; Calyam, P.

    2012-12-01

    The E-Center is a social collaborative web-based platform for assisting network users in understanding network conditions across network paths of interest to them. It is designed to give a user the necessary tools to isolate, identify, and resolve network performance-related problems. E-Center provides network path information on a link-by-link level, as well as from an end-to-end perspective. In addition to providing current and recent network path data, E-Center is intended to provide a social media environment for them to share issues, ideas, concerns, and problems. The product has a modular design that accommodates integration of other network services that make use of the same network path and performance data.

  14. E-center: A collaborative platform for wide area network users

    Energy Technology Data Exchange (ETDEWEB)

    Grigoriev, M. [Fermilab; DeMar, P. [Fermilab; Tierney, B. [LBL, Berkeley; Lake, A. [LBL, Berkeley; Metzger, J. [LBL, Berkeley; Frey, M. [Bucknell U.; Calyam, P. [Ohio State U.

    2012-01-01

    The E-Center is a social collaborative web-based platform for assisting network users in understanding network conditions across network paths of interest to them. It is designed to give a user the necessary tools to isolate, identify, and resolve network performance-related problems. E-Center provides network path information on a link-by-link level, as well as from an end-to-end perspective. In addition to providing current and recent network path data, E-Center is intended to provide a social media environment for them to share issues, ideas, concerns, and problems. The product has a modular design that accommodates integration of other network services that make use of the same network path and performance data.

  15. E-Center: A Collaborative Platform for Wide Area Network Users

    International Nuclear Information System (INIS)

    Grigoriev, M; DeMar, P; Tierney, B; Lake, A; Metzger, J; Frey, M; Calyam, P

    2012-01-01

    The E-Center is a social collaborative web-based platform for assisting network users in understanding network conditions across network paths of interest to them. It is designed to give a user the necessary tools to isolate, identify, and resolve network performance-related problems. E-Center provides network path information on a link-by-link level, as well as from an end-to-end perspective. In addition to providing current and recent network path data, E-Center is intended to provide a social media environment for them to share issues, ideas, concerns, and problems. The product has a modular design that accommodates integration of other network services that make use of the same network path and performance data.

  16. Research collaboration and team science a state-of-the-art review and agenda

    CERN Document Server

    Bozeman, Barry

    2014-01-01

    Today in most scientific and technical fields more than 90% of research studies and publications are collaborative, often resulting in high-impact research and development of commercial applications, as reflected in patents. Nowadays in many areas of science, collaboration is not a preference but, literally, a work prerequisite. The purpose of this book is to review and critique the burgeoning scholarship on research collaboration. The authors seek to identify gaps in theory and research and identify the ways in which existing research can be used to improve public policy for collaboration and to improve project-level management of collaborations using Scientific and Technical Human Capital (STHC) theory as a framework. Broadly speaking, STHC is the sum of scientific and technical and social knowledge, skills and resources embodied in a particular individual. It is both human capital endowments, such as formal education and training and social relations and network ties that bind scientists and the users of ...

  17. Responses to a questionnaire on networking between OIE Reference Laboratories and OIE Collaborating Centres.

    Science.gov (United States)

    Brückner, G K; Linnane, S; Diaz, F; Vallat, B

    2007-01-01

    Two separate questionnaires were distributed to 20 OIE Collaborating Centres and 160 OIE Reference Laboratories to assess the current status of networking and collaboration among OIE Reference Laboratories and between OIE Reference Laboratories and OIE Collaborating Centres. The questionnaire for the OIE Reference Laboratories contained 7 sections with questions on networking between laboratories, reporting of information, biosecurity quality control, and financing. Emphasis was placed in obtaining information on inter-laboratory relationships and exchange of expertise, training needs and sharing of data and information. The questionnaire for the OIE Collaborating Centres contained six sections with the emphasis on aspects related to awareness of services that can be provided, expertise that could be made available, sharing of information and the relationship with the national veterinary services of the countries concerned. The responses to the questionnaires were collated, categorised and statistically evaluated to allow for tentative inferences on the data provided. Valuable information emanated from the data identifying the current status of networking and indicating possible shortcomings that could be addressed to improve networking.

  18. A Survey on Density and Size of Co-authorship Networks in Information Science Journals

    OpenAIRE

    Faramarz Soheili; Farideh Osareh

    2014-01-01

    Scientific collaboration has always been of interest to researchers. The analyses of data relating to scientific collaboration is one of the techniques by which we can evaluate research activities. Co-authorship network analysis can represent good information regarding the patterns and structures of co-authorship. Social network analysis was used as the research method. The research population included twenty journals of Information Science which had an impact factor of 0...

  19. General Critical Properties of the Dynamics of Scientific Discovery

    Energy Technology Data Exchange (ETDEWEB)

    Bettencourt, L. M. A. (LANL); Kaiser, D. I. (MIT)

    2011-05-31

    Scientific fields are difficult to define and compare, yet there is a general sense that they undergo similar stages of development. From this point of view it becomes important to determine if these superficial similarities can be translated into a general framework that would quantify the general advent and subsequent dynamics of scientific ideas. Such a framework would have important practical applications of allowing us to compare fields that superficially may appear different, in terms of their subject matter, research techniques, typical collaboration size, etc. Particularh' important in a field's history is the moment at which conceptual and technical unification allows widespread exchange of ideas and collaboration, at which point networks of collaboration show the analog of a percolation phenomenon, developing a giant connected component containing most authors. Here we investigate the generality of this topological transition in the collaboration structure of scientific fields as they grow and become denser. We develop a general theoretical framework in which each scientific field is an instantiation of the same large-scale topological critical phenomenon. We consider whether the evidence from a variety of specific fields is consistent with this picture, and estimate critical exponents associated with the transition. We then discuss the generality of the phenomenon and to what extent we may expect other scientific fields — including very large ones — to follow the same dynamics.

  20. PeerShield: determining control and resilience criticality of collaborative cyber assets in networks

    Science.gov (United States)

    Cam, Hasan

    2012-06-01

    As attackers get more coordinated and advanced in cyber attacks, cyber assets are required to have much more resilience, control effectiveness, and collaboration in networks. Such a requirement makes it essential to take a comprehensive and objective approach for measuring the individual and relative performances of cyber security assets in network nodes. To this end, this paper presents four techniques as to how the relative importance of cyber assets can be measured more comprehensively and objectively by considering together the main variables of risk assessment (e.g., threats, vulnerabilities), multiple attributes (e.g., resilience, control, and influence), network connectivity and controllability among collaborative cyber assets in networks. In the first technique, a Bayesian network is used to include the random variables for control, recovery, and resilience attributes of nodes, in addition to the random variables of threats, vulnerabilities, and risk. The second technique shows how graph matching and coloring can be utilized to form collaborative pairs of nodes to shield together against threats and vulnerabilities. The third technique ranks the security assets of nodes by incorporating multiple weights and thresholds of attributes into a decision-making algorithm. In the fourth technique, the hierarchically well-separated tree is enhanced to first identify critical nodes of a network with respect to their attributes and network connectivity, and then selecting some nodes as driver nodes for network controllability.

  1. Collaboration Layer for Robots in Mobile Ad-hoc Networks

    DEFF Research Database (Denmark)

    Borch, Ole; Madsen, Per Printz; Broberg, Jacob Honor´e

    2009-01-01

    networks to solve tasks collaboratively. In this proposal the Collaboration Layer is modelled to handle service and position discovery, group management, and synchronisation among robots, but the layer is also designed to be extendable. Based on this model of the Collaboration Layer, generic services...... are provided to the application running on the robot. The services are generic because they can be used by many different applications, independent of the task to be solved. Likewise, specific services are requested from the underlying Virtual Machine, such as broadcast, multicast, and reliable unicast....... A prototype of the Collaboration Layer has been developed to run in a simulated environment and tested in an evaluation scenario. In the scenario five robots solve the tasks of vacuum cleaning and entrance guarding, which involves the ability to discover potential co-workers, form groups, shift from one group...

  2. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    Energy Technology Data Exchange (ETDEWEB)

    Dart, Eli; Rotman, Lauren; Tierney, Brian; Hester, Mary; Zurawski, Jason

    2013-08-13

    The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centers and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.

  3. Guest editorial - Networked collaboration, sharing and response

    Directory of Open Access Journals (Sweden)

    Olav Skundberg

    2008-11-01

    Full Text Available  This issue of Seminar.net contains three articles that were written in connection with a Norwegian e-learning conference titled “Networked collaboration, sharing and response”. The conference was held in Mars 2008 in Trondheim, and the presentations from the conference is available (in norwegian language at http://www.nvu.no. Networked collaboration was chosen as a theme because collaboration is important to achieve learning, according to the social-constructivistic pedagogy that has a strong standing in Norway, but how should this occur on the net? Sharing of content, as in digital learning resources, is a phenomenon with increasing popularity as described in the OECD-report “Giving Knowledge for Free”. But to achieve reuse of content, not only publishing it, it is important with a networked community where the plethora of information can be sorted with relevance to specific topics. Response is about guiding, coaching and tutoring. In what ways may resources and tools be used to move in the direction of solving Bloom’s two sigma problem/challenge? The first article, by Morten Flate Paulsen, shows how cooperative learning can be implemented successfully so that students have optimal individual freedom within online learning communities. The second article, by Carl F. Dons, shows how student teachers can be prepared to deal with pupils who have a wide range of experiences of the digital world. The third and last article, by Kristin Dale, is sharing experiences with multiple choice-tests to give midterm responses to students. In addition, this issue has a commentary article by Rune Krumsvik discussing the need to develop new practices for teachers and students on the background of the digital developments. The conference and articles covers three big themes. It may be difficult to find more important issues, apart from finding money and time to support its development. Olav Skundberg, guest editorAssociate professor

  4. Cyberinfrastructure and Scientific Collaboration: Application of a Virtual Team Performance Framework with Potential Relevance to Education. WCER Working Paper No. 2010-12

    Science.gov (United States)

    Kraemer, Sara; Thorn, Christopher A.

    2010-01-01

    The purpose of this exploratory study was to identify and describe some of the dimensions of scientific collaborations using high throughput computing (HTC) through the lens of a virtual team performance framework. A secondary purpose was to assess the viability of using a virtual team performance framework to study scientific collaborations using…

  5. African Scientific Network: A model to enhance scientific research in developing countries

    Science.gov (United States)

    Kebede, Abebe

    2002-03-01

    Africa has over 350 higher education institutions with a variety of experiences and priorities. The primary objectives of these institutions are to produce white-collar workers, teachers, and the work force for mining, textiles, and agricultural industries. The state of higher education and scientific research in Africa have been discussed in several conferences. The proposals that are generated by these conferences advocate structural changes in higher education, North-South institutional linkages, mobilization of the African Diaspora and funding. We propose a model African Scientific Network that would facilitate and enhance international scientific partnerships between African scientists and their counterparts elsewhere. A recent article by James Lamout (Financial Times, August 2, 2001) indicates that emigration from South Africa alone costs $8.9 billion in lost human resources. The article also stated that every year 23,000 graduates leave Africa for opportunities overseas, mainly in Europe, leaving only 20,000 scientists and engineers serving over 600 million people. The International Organization for Migration states that the brain drain of highly skilled professionals from Africa is making economic growth and poverty alleviation impossible across the continent. In our model we will focus on a possible networking mechanism where the African Diaspora will play a major role in addressing the financial and human resources needs of higher education in Africa

  6. Collaborative Distributed Scheduling Approaches for Wireless Sensor Network

    Directory of Open Access Journals (Sweden)

    Zhidong Deng

    2009-10-01

    Full Text Available Energy constraints restrict the lifetime of wireless sensor networks (WSNs with battery-powered nodes, which poses great challenges for their large scale application. In this paper, we propose a family of collaborative distributed scheduling approaches (CDSAs based on the Markov process to reduce the energy consumption of a WSN. The family of CDSAs comprises of two approaches: a one-step collaborative distributed approach and a two-step collaborative distributed approach. The approaches enable nodes to learn the behavior information of its environment collaboratively and integrate sleep scheduling with transmission scheduling to reduce the energy consumption. We analyze the adaptability and practicality features of the CDSAs. The simulation results show that the two proposed approaches can effectively reduce nodes’ energy consumption. Some other characteristics of the CDSAs like buffer occupation and packet delay are also analyzed in this paper. We evaluate CDSAs extensively on a 15-node WSN testbed. The test results show that the CDSAs conserve the energy effectively and are feasible for real WSNs.

  7. Teaching scientific literacy in an introductory women's studies course: a case study in interdisciplinary collaboration

    Science.gov (United States)

    Fuselier, Linda; Murphy, Claudia; Bender, Anita; Creel Falcón, Kandace

    2015-01-01

    Background and purpose:The purpose of this exploratory case study is to describe how scholars negotiated disciplinary divides to develop and communicate to their students an understanding of the basic features of scientific knowledge. Our goals were to examine boundary crossing in interdisciplinary collaboration and to assess the efficacy of adding science content to an introductory Women's Studies course. Sample:We studied a collaboration between faculty in Biology and Women's Studies and evaluated science modules in a Women's Studies course at a regional four-year university in the Midwestern USA. The study included 186 student participants over three semesters and four faculty from Philosophy, Women's Studies and Biology. Design and method:Women's Studies and Biology faculty collaborated to design and implement science content learning modules that included the case of women and science in an introductory Women's Studies course. Qualitative data collected from faculty participants in the form of peer debrief sessions and narrative reflections were used to examine the process of interdisciplinary collaboration. Students exposed to curriculum changes were administered pre- and post-lesson surveys to evaluate their understanding of issues faced by women in science careers, the nature of science, and interest in science studies. Data from collaborators, student journal reflections, and pre-/post-lesson surveys were considered together in an evaluation of how knowledge of science was understood and taught in a Women's Studies course over a longitudinal study of three semesters. Results:We found evidence of discipline-based challenges to interdisciplinarity and disciplinary boundary crossing among collaborators. Three themes emerged from our collaboration: challenges posed by disciplinary differences, creation of a space for interdisciplinary work, and evidence of boundary crossing. Student participants exhibited more prior knowledge of Women's Studies content than

  8. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  9. Network bandwidth utilization forecast model on high bandwidth networks

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Wuchert (William) [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sim, Alex [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2015-03-30

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2%. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  10. AN EVALUATION AND IMPLEMENTATION OF COLLABORATIVE AND SOCIAL NETWORKING TECHNOLOGIES FOR COMPUTER EDUCATION

    Directory of Open Access Journals (Sweden)

    Ronnie Cheung

    2011-06-01

    Full Text Available We have developed a collaborative and social networking environment that integrates the knowledge and skills in communication and computing studies with a multimedia development project. The outcomes of the students’ projects show that computer literacy can be enhanced through a cluster of communication, social, and digital skills. Experience in implementing a web-based social networking environment shows that the new media is an effective means of enriching knowledge by sharing in computer literacy projects. The completed assignments, projects, and self-reflection reports demonstrate that the students were able to achieve the learning outcomes of a computer literacy course in multimedia development. The students were able to assess the effectiveness of a variety of media through the development of media presentations in a web-based, social-networking environment. In the collaborative and social-networking environment, students were able to collaborate and communicate with their team members to solve problems, resolve conflicts, make decisions, and work as a team to complete tasks. Our experience has shown that social networking environments are effective for computer literacy education, and the development of the new media is emerging as the core knowledge for computer literacy education.

  11. ISOGA: Integrated Services Optical Grid Architecture for Emerging E-Science Collaborative Applications

    Energy Technology Data Exchange (ETDEWEB)

    Oliver Yu

    2008-11-28

    This final report describes the accomplishments in the ISOGA (Integrated Services Optical Grid Architecture) project. ISOGA enables efficient deployment of existing and emerging collaborative grid applications with increasingly diverse multimedia communication requirements over a wide-area multi-domain optical network grid; and enables collaborative scientists with fast retrieval and seamless browsing of distributed scientific multimedia datasets over a wide-area optical network grid. The project focuses on research and development in the following areas: the polymorphic optical network control planes to enable multiple switching and communication services simultaneously; the intelligent optical grid user-network interface to enable user-centric network control and monitoring; and the seamless optical grid dataset browsing interface to enable fast retrieval of local/remote dataset for visualization and manipulation.

  12. An Examination of Research Collaboration in Psychometrics Utilizing Social Network Analysis Methods

    Science.gov (United States)

    DiCrecchio, Nicole C.

    2016-01-01

    Co-authorship networks have been studied in many fields as a way to understand collaboration patterns. However, a comprehensive exploration of the psychometrics field has not been conducted. Also, few studies on co-author networks have included longitudinal analyses as well as data on the characteristics of authors in the network. Including both…

  13. Collaborative networked organizations - Concepts and practice in manufacturing enterprises

    NARCIS (Netherlands)

    Camarinha-Matos, L.M.; Afsarmanesh, H.; Galeano, N.; Molina, A.

    2009-01-01

    Participation in networks has nowadays become very important for any organization that strives to achieve a differentiated competitive advantage, especially if the company is small or medium sized. Collaboration is a key issue to rapidly answer market demands in a manufacturing company, through

  14. Collaborative and cognitive network platforms : Vision and research challenges

    NARCIS (Netherlands)

    Onur, E.; Durmus, Y.; Hawas, M.G.; Heemstra de Groot, S.M.; Niemegeers, I.G.M.M.

    2011-01-01

    In this paper, we present a visionary concept referred to as Collaborative and Cognitive Network Platforms (CCNPs) as a future-proof solution for creating a dependable, self-organizing and self-managing communication substrate for effective ICT solutions to societal problems. CCNP creates a

  15. Network Characteristics and the Value of Collaborative User-Generated Content

    OpenAIRE

    Sam Ransbotham; Gerald C. Kane; Nicholas H. Lurie

    2012-01-01

    User-generated content is increasingly created through the collaborative efforts of multiple individuals. In this paper, we argue that the value of collaborative user-generated content is a function both of the direct efforts of its contributors and of its embeddedness in the content-contributor network that creates it. An analysis of Wikipedia's WikiProject Medicine reveals a curvilinear relationship between the number of distinct contributors to user-generated content and viewership. A two-...

  16. Networking support for collaborative virtual reality projects in national, european and international context

    OpenAIRE

    Hommes, F.; Pless, E.

    2004-01-01

    The report describes experiences from networking support for two three years virtual reality projects. Networking requirements depending on the virtual reality environment and the planned distributed scenarios are specified and verified in the real network. Networking problems especially due to the collaborative, distributed character of interaction via the Internet are presented.

  17. Biological network extraction from scientific literature: state of the art and challenges.

    Science.gov (United States)

    Li, Chen; Liakata, Maria; Rebholz-Schuhmann, Dietrich

    2014-09-01

    Networks of molecular interactions explain complex biological processes, and all known information on molecular events is contained in a number of public repositories including the scientific literature. Metabolic and signalling pathways are often viewed separately, even though both types are composed of interactions involving proteins and other chemical entities. It is necessary to be able to combine data from all available resources to judge the functionality, complexity and completeness of any given network overall, but especially the full integration of relevant information from the scientific literature is still an ongoing and complex task. Currently, the text-mining research community is steadily moving towards processing the full body of the scientific literature by making use of rich linguistic features such as full text parsing, to extract biological interactions. The next step will be to combine these with information from scientific databases to support hypothesis generation for the discovery of new knowledge and the extension of biological networks. The generation of comprehensive networks requires technologies such as entity grounding, coordination resolution and co-reference resolution, which are not fully solved and are required to further improve the quality of results. Here, we analyse the state of the art for the extraction of network information from the scientific literature and the evaluation of extraction methods against reference corpora, discuss challenges involved and identify directions for future research. © The Author 2013. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  18. Coauthorship and institutional collaborations on cost-effectiveness analyses: a systematic network analysis.

    Directory of Open Access Journals (Sweden)

    Ferrán Catalá-López

    Full Text Available BACKGROUND: Cost-Effectiveness Analysis (CEA has been promoted as an important research methodology for determining the efficiency of healthcare technology and guiding medical decision-making. Our aim was to characterize the collaborative patterns of CEA conducted over the past two decades in Spain. METHODS AND FINDINGS: A systematic analysis was carried out with the information obtained through an updated comprehensive literature review and from reports of health technology assessment agencies. We identified CEAs with outcomes expressed as a time-based summary measure of population health (e.g. quality-adjusted life-years or disability-adjusted life-years, conducted in Spain and published between 1989 and 2011. Networks of coauthorship and institutional collaboration were produced using PAJEK software. One-hundred and thirty-one papers were analyzed, in which 526 authors and 230 institutions participated. The overall signatures per paper index was 5.4. Six major groups (one with 14 members, three with 7 members and two with 6 members were identified. The most prolific authors were generally affiliated with the private-for-profit sector (e.g. consulting firms and the pharmaceutical industry. The private-for-profit sector maintains profuse collaborative networks including public hospitals and academia. Collaboration within the public sector (e.g. healthcare administration and primary care was weak and fragmented. CONCLUSIONS: This empirical analysis reflects critical practices among collaborative networks that contributed substantially to the production of CEA, raises challenges for redesigning future policies and provides a framework for similar analyses in other regions.

  19. Implementation of a Framework for Collaborative Social Networks in E-Learning

    Science.gov (United States)

    Maglajlic, Seid

    2016-01-01

    This paper describes the implementation of a framework for the construction and utilization of social networks in ELearning. These social networks aim to enhance collaboration between all E-Learning participants (i.e. both traineeto-trainee and trainee-to-tutor communication are targeted). E-Learning systems that include a so-called "social…

  20. Networking Skills as a Career Development Practice: Lessons from the Earth Science Women's Network (ESWN)

    Science.gov (United States)

    Hastings, M. G.; Kontak, R.; Holloway, T.; Marin-Spiotta, E.; Steiner, A. L.; Wiedinmyer, C.; Adams, A. S.; de Boer, A. M.; Staudt, A. C.; Fiore, A. M.

    2010-12-01

    Professional networking is often cited as an important component of scientific career development, yet there are few resources for early career scientists to develop and build networks. Personal networks can provide opportunities to learn about organizational culture and procedures, expectations, advancement opportunities, and best practices. They provide access to mentors and job placement opportunities, new scientific collaborations, speaker and conference invitations, increased scientific visibility, reduced isolation, and a stronger feeling of community. There is evidence in the literature that a sense of community positively affects the engagement and retention of underrepresented groups, including women, in science. Thus women scientists may particularly benefit from becoming part of a network. The Earth Science Women’s Network (ESWN) began in 2002 as an informal peer-to-peer mentoring initiative among a few recent Ph.D.s. The network has grown exponentially to include over 1000 women scientists across the globe. Surveys of our membership about ESWN report positive impacts on the careers of women in Earth sciences, particularly those in early career stages. Through ESWN, women share both professional and personal advice, establish research collaborations, communicate strategies on work/life balance, connect with women at various stages of their careers, and provide perspectives from cultures across the globe. We present lessons learned through the formal and informal activities promoted by ESWN in support of the career development of women Earth scientists.

  1. CERN’s model for international scientific collaboration to be discussed at UNOG

    CERN Multimedia

    Antonella Del Rosso

    2015-01-01

    On 2 November, on the occasion of the 70th anniversary of the United Nations, CERN and UNOG will co-host a one-day symposium, with the support of Switzerland and France. The event will bring together policy-makers, scientists and members of civil society to debate how to construct synergies across communities as a means to drive global objectives. CERN people are invited to the Palais des Nations to take part.   CERN's seat at the General Assembly of the United Nations in New York. How does CERN work? How are goals achieved in such a complex environment where diverse communities work together in the interests of science? CERN’s model for international scientific collaboration is being looked at with growing interest by an increasingly large community of experts in various fields. Scientific advances and accomplishments are testament to the effectiveness of the model and prove that ambitious scientific programmes can be carried out only by communities c...

  2. Addressing contrasting cognitive models in scientific collaboration

    Science.gov (United States)

    Diviacco, P.

    2012-04-01

    If the social aspects of scientific communities and their internal dynamics is starting to be recognized and acknowledged in the everyday lives of scientists, it is rather difficult for them to find tools that could support their activities consistently with this perspective. Issues span from gathering researchers to mutual awareness, from information sharing to building meaning, with the last one being particularly critical in research fields as the geo-sciences, that deal with the reconstruction of unique, often non-reproducible, and contingent processes. Reasoning here is, in fact, mainly abductive, allowing multiple and concurrent explanations for the same phenomenon to coexist. Scientists bias one hypothesis over another not only on strictly logical but also on sociological motivations. Following a vision, scientists tend to evolve and isolate themselves from other scientists creating communities characterized by different cognitive models, so that after some time these become incompatible and scientists stop understanding each other. We address these problems as a communication issue so that the classic distinction into three levels (syntactic, semantic and pragmatic) can be used. At the syntactic level, we highlight non-technical obstacles that condition interoperability and data availability and transparency. At the semantic level, possible incompatibilities of cognitive models are particularly evident, so that using ontologies, cross-domain reconciliation should be applied. This is a very difficult task to perform since the projection of knowledge by scientists, in the designated community, is political and thus can create a lot of tension. The strategy we propose to overcome these issues pertains to pragmatics, in the sense that it is intended to acknowledge the cultural and personal factors each partner brings into the collaboration and is based on the idea that meaning should remain a flexible and contingent representation of possibly divergent views

  3. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    Directory of Open Access Journals (Sweden)

    Eli Dart

    2014-01-01

    Full Text Available The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centers and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.

  4. Enforcement of Privacy Policies over Multiple Online Social Networks for Collaborative Activities

    Science.gov (United States)

    Wu, Zhengping; Wang, Lifeng

    Our goal is to tend to develop an enforcement architecture of privacy policies over multiple online social networks. It is used to solve the problem of privacy protection when several social networks build permanent or temporary collaboration. Theoretically, this idea is practical, especially due to more and more social network tend to support open source framework “OpenSocial”. But as we known different social network websites may have the same privacy policy settings based on different enforcement mechanisms, this would cause problems. In this case, we have to manually write code for both sides to make the privacy policy settings enforceable. We can imagine that, this is a huge workload based on the huge number of current social networks. So we focus on proposing a middleware which is used to automatically generate privacy protection component for permanent integration or temporary interaction of social networks. This middleware provide functions, such as collecting of privacy policy of each participant in the new collaboration, generating a standard policy model for each participant and mapping all those standard policy to different enforcement mechanisms of those participants.

  5. Collaborative Inquiry Learning: Models, tools, and challenges

    Science.gov (United States)

    Bell, Thorsten; Urhahne, Detlef; Schanze, Sascha; Ploetzner, Rolf

    2010-02-01

    Collaborative inquiry learning is one of the most challenging and exciting ventures for today's schools. It aims at bringing a new and promising culture of teaching and learning into the classroom where students in groups engage in self-regulated learning activities supported by the teacher. It is expected that this way of learning fosters students' motivation and interest in science, that they learn to perform steps of inquiry similar to scientists and that they gain knowledge on scientific processes. Starting from general pedagogical reflections and science standards, the article reviews some prominent models of inquiry learning. This comparison results in a set of inquiry processes being the basis for cooperation in the scientific network NetCoIL. Inquiry learning is conceived in several ways with emphasis on different processes. For an illustration of the spectrum, some main conceptions of inquiry and their focuses are described. In the next step, the article describes exemplary computer tools and environments from within and outside the NetCoIL network that were designed to support processes of collaborative inquiry learning. These tools are analysed by describing their functionalities as well as effects on student learning known from the literature. The article closes with challenges for further developments elaborated by the NetCoIL network.

  6. The Earth Science Women's Network (ESWN): A member-driven network approach to supporting women in the Geosciences

    Science.gov (United States)

    Hastings, M. G.; Kontak, R.; Adams, A. S.; Barnes, R. T.; Fischer, E. V.; Glessmer, M. S.; Holloway, T.; Marin-Spiotta, E.; Rodriguez, C.; Steiner, A. L.; Wiedinmyer, C.; Laursen, S. L.

    2013-12-01

    The Earth Science Women's Network (ESWN) is an organization of women geoscientists, many in the early stages of their careers. The mission of ESWN is to promote success in scientific careers by facilitating career development, community, informal mentoring and support, and professional collaborations. ESWN currently connects nearly 2000 women across the globe, and includes graduate students, postdoctoral scientists, tenure and non-tenure track faculty from diverse colleges and universities, program managers, and government, non-government and industry researchers. In 2009, ESWN received an NSF ADVANCE PAID award, with the primary goals to grow our membership to serve a wider section of the geosciences community, to design and administer career development workshops, to promote professional networking at scientific conferences, and to develop web resources to build connections, collaborations, and peer mentoring for and among women in the Earth Sciences. Now at the end of the grant, ESWN members have reported gains in a number of aspects of their personal and professional lives including: knowledge about career resources; a greater understanding of the challenges facing women in science and resources to overcome them; a sense of community and less isolation; greater confidence in their own career trajectories; professional collaborations; emotional support on a variety of issues; and greater engagement and retention in scientific careers. The new ESWN web center (www.ESWNonline.org), a major development supported by NSF ADVANCE and AGU, was created to facilitate communication and networking among our members. The web center offers a state-of-the-art social networking platform and features: 1) a public site offering information on ESWN, career resources for all early career scientists, and a 'members' spotlight' highlighting members' scientific and professional achievements; and 2) a password protected member area where users can personalize profiles, create and

  7. Analysis of Scientific Production in Food Science from 2003 to 2013.

    Science.gov (United States)

    Guerrero-Bote, Vicente P; Moya-Anegón, Félix

    2015-12-01

    Food Science is an active discipline in scientific research. The improvements in Food Technology constitute a challenge for society to eradicate hunger, while achieving food safety. This work analyses the scientific production in Food Science of the 25 countries with the greatest output in this subject area in the period 2003 to 2013. The growth of China's production was striking, with the country becoming top-ranked by the end of the period. Some developing countries (such as Nigeria) achieved a major increase in production but reducing their proportion of scientific collaboration and their works' impact. There appear to be 2 international collaboration networks that get good results--one European and the other Pacific. © 2015 Institute of Food Technologists®

  8. Long-Term Collaboration Network Based on ClinicalTrials.gov Database in the Pharmaceutical Industry

    Directory of Open Access Journals (Sweden)

    Heyoung Yang

    2018-01-01

    Full Text Available Increasing costs, risks, and productivity problems in the pharmaceutical industry are important recent issues in the biomedical field. Open innovation is proposed as a solution to these issues. However, little statistical analysis related to collaboration in the pharmaceutical industry has been conducted so far. Meanwhile, not many cases have analyzed the clinical trials database, even though it is the information source with the widest coverage for the pharmaceutical industry. The purpose of this study is to test the clinical trials information as a probe for observing the status of the collaboration network and open innovation in the pharmaceutical industry. This study applied the social network analysis method to clinical trials data from 1980 to 2016 in ClinicalTrials.gov. Data were divided into four time periods—1980s, 1990s, 2000s, and 2010s—and the collaboration network was constructed for each time period. The characteristic of each network was investigated. The types of agencies participating in the clinical trials were classified as a university, national institute, company, or other, and the major players in the collaboration networks were identified. This study showed some phenomena related to the pharmaceutical industry that could provide clues to policymakers about open innovation. If follow-up studies were conducted, the utilization of the clinical trial database could be further expanded, which is expected to help open innovation in the pharmaceutical industry.

  9. Investigating scientific literacy documents with linguistic network analysis

    DEFF Research Database (Denmark)

    Bruun, Jesper; Evans, Robert Harry; Dolin, Jens

    2009-01-01

    International discussions of scientific literacy (SL) are extensive and numerous sizeable documents on SL exist. Thus, comparing different conceptions of SL is methodologically challenging. We developed an analytical tool which couples the theory of complex networks with text analysis in order...

  10. Social Network Analysis of Scientific Articles Published by Food Policy

    Directory of Open Access Journals (Sweden)

    József Popp

    2018-02-01

    Full Text Available The article analyses co-authorship and co-citation networks in Food Policy, which is the most important agricultural policy journal in the field of agricultural economics. The paper highlights the principal researchers in this field together with their authorship and citation networks on the basis of 714 articles written between 2006 and 2015. Results suggest that the majority of the articles were written by a small number of researchers, indicating that groups and central authors play an important role in scientific advances. It also turns out that the number of articles and the central role played in the network are not related, contrary to expectations. Results also suggest that groups cite themselves more often than average, thereby boosting the scientific advancement of their own members.

  11. The LTER Network Information System: Improving Data Quality and Synthesis through Community Collaboration

    Science.gov (United States)

    Servilla, M.; Brunt, J.

    2011-12-01

    Emerging in the 1980's as a U.S. National Science Foundation funded research network, the Long Term Ecological Research (LTER) Network began with six sites and with the goal of performing comparative data collection and analysis of major biotic regions of North America. Today, the LTER Network includes 26 sites located in North America, Antarctica, Puerto Rico, and French Polynesia and has contributed a corpus of over 7,000 data sets to the public domain. The diversity of LTER research has led to a wealth of scientific data derived from atmospheric to terrestrial to oceanographic to anthropogenic studies. Such diversity, however, is a contributing factor to data being published with poor or inconsistent quality or to data lacking descriptive documentation sufficient for understanding their origin or performing derivative studies. It is for these reasons that the LTER community, in collaboration with the LTER Network Office, have embarked on the development of the LTER Network Information System (NIS) - an integrative data management approach to improve the process by which quality LTER data and metadata are assembled into a central archive, thereby enabling better discovery, analysis, and synthesis of derived data products. The mission of the LTER NIS is to promote advances in collaborative and synthetic ecological science at multiple temporal and spatial scales by providing the information management and technology infrastructure to increase: ? availability and quality of data from LTER sites - by the use and support of standardized approaches to metadata management and access to data; ? timeliness and number of LTER derived data products - by creating a suite of middleware programs and workflows that make it easy to create and maintain integrated data sets derived from LTER data; and ? knowledge generated from the synthesis of LTER data - by creating standardized access and easy to use applications to discover, access, and use LTER data. The LTER NIS will utilize

  12. The Danish Collaborative Bacteraemia Network (DACOBAN) database

    DEFF Research Database (Denmark)

    Gradel, Kim Oren; Schønheyder, Henrik Carl; Arpi, Magnus

    2014-01-01

    % of the Danish population). The database also includes data on comorbidity from the Danish National Patient Registry, vital status from the Danish Civil Registration System, and clinical data on 31% of nonselected records in the database. Use of the unique civil registration number given to all Danish residents......The Danish Collaborative Bacteraemia Network (DACOBAN) research database includes microbiological data obtained from positive blood cultures from a geographically and demographically well-defined population serviced by three clinical microbiology departments (1.7 million residents, 32...... enables linkage to additional registries for specific research projects. The DACOBAN database is continuously updated, and it currently comprises 39,292 patients with 49,951 bacteremic episodes from 2000 through 2011. The database is part of an international network of population-based bacteremia...

  13. An Analysis of Co-Authorship Network in the Iranian Sociology

    OpenAIRE

    2015-01-01

    Introduction   Among written academic collaborations, collaborating on writing scientific, research papers have a privileged position. It can show the rate of scientific development in any specialized discipline. T his study investigated the development of sociology in Iran through analyzing the co-authorship network in three main journal of "Iranian Journal of Sociology "," Sociological Studies " (a former Journal of Social Science) and "Quarterly Journal of Social S...

  14. Needs assessment for collaborative network in pediatric clinical research and education.

    Science.gov (United States)

    Ishiguro, Akira; Sasaki, Hatoko; Yahagi, Naohisa; Kato, Hitoshi; Kure, Shigeo; Mori, Rintaro

    2017-01-01

    A collaborative network for pediatric research has not been fully established in Japan. To identify the network infrastructure, we conducted a survey on the support and education for clinical research currently available in children's hospitals. In November 2014, a 27-question survey was distributed to 31 hospitals belonging to the Japanese Association of Children's Hospitals and Related Institutions (JACHRI) to assess clinical research support, research education, research achievements, and their expectations. All the hospitals responded to the survey. Overall, 74.2% of hospitals had clinical research support divisions. Although all hospitals had ethics committees, manager, intellectual property management unit, biostatistician, and English-language editor. Seven hospitals had education programs for clinical research. The number of seminars and workshops for clinical research had significant correlations with the number of physicians (r = 0.927), pediatricians (r = 0.922), and clinical trial management physicians (r = 0.962). There was a significant difference in the number of clinical trials initiated by physicians between hospitals with research education programs and those without (P leader to establish a collaborative network for clinical research. Important factors for creating a collaborative system for pediatric research in Japan were identified. Human resources to support clinical research are a key factor to improve clinical research education and research achievements. © 2016 Japan Pediatric Society.

  15. International scientific collaboration in nonproliferation

    International Nuclear Information System (INIS)

    Travelli, A.

    1998-01-01

    International collaboration is a vital component of every serious nonproliferation effort. Several examples of the experiences that the Argonne Arms Control and Nonproliferation Program has had in this area are given and, in the process, important components of the program come to light. Some of the main principles that the program has learned to follow while pursuing international collaboration projects are shared, as are the pitfalls that the program has learned to avoid. (author)

  16. Managing Distributed Innovation Processes in Virtual Organizations by Applying the Collaborative Network Relationship Analysis

    Science.gov (United States)

    Eschenbächer, Jens; Seifert, Marcus; Thoben, Klaus-Dieter

    Distributed innovation processes are considered as a new option to handle both the complexity and the speed in which new products and services need to be prepared. Indeed most research on innovation processes was focused on multinational companies with an intra-organisational perspective. The phenomena of innovation processes in networks - with an inter-organisational perspective - have been almost neglected. Collaborative networks present a perfect playground for such distributed innovation processes whereas the authors highlight in specific Virtual Organisation because of their dynamic behaviour. Research activities supporting distributed innovation processes in VO are rather new so that little knowledge about the management of such research is available. With the presentation of the collaborative network relationship analysis this gap will be addressed. It will be shown that a qualitative planning of collaboration intensities can support real business cases by proving knowledge and planning data.

  17. Canonical correlation analysis between collaborative networks and innovation: A case study in information technology companies in province of Tehran, Iran

    Directory of Open Access Journals (Sweden)

    Ahmad Jafar Nejad

    2013-07-01

    Full Text Available The increase competitions as well as technological advancements have created motivation among business owners to look for more innovative ideas from outside their organizations. Many enterprises collaborate with other organizations to empower themselves through innovative ideas. These kinds of collaborations can be observed as a concept called Regional Innovation System. These collaborations include inter-firm collaborations, research organizations, intermediary institutions and governmental agencies. The primary objective of this paper is to evaluate relationships between Collaborative Networks and Innovation in information technology business units located in province of Tehran, Iran. The research method utilized for the present study is descriptive-correlation. To evaluate the relationships between independent and dependent variables, canonical correlation analysis (CCA is used. The results confirm the previous findings regarding the relationship between Collaborative Networks and Innovation. Among various dimensions of Collaboration, Collaboration with governmental agencies had a very small impact on the relationship between collaboration networks and innovation. In addition, the results show that in addition to affecting product innovation and process innovation, collaboration networks also affected management innovation.

  18. Grid computing and collaboration technology in support of fusion energy sciences

    International Nuclear Information System (INIS)

    Schissel, D.P.

    2005-01-01

    Science research in general and magnetic fusion research in particular continue to grow in size and complexity resulting in a concurrent growth in collaborations between experimental sites and laboratories worldwide. The simultaneous increase in wide area network speeds has made it practical to envision distributed working environments that are as productive as traditionally collocated work. In computing power, it has become reasonable to decouple production and consumption resulting in the ability to construct computing grids in a similar manner as the electrical power grid. Grid computing, the secure integration of computer systems over high speed networks to provide on-demand access to data analysis capabilities and related functions, is being deployed as an alternative to traditional resource sharing among institutions. For human interaction, advanced collaborative environments are being researched and deployed to have distributed group work that is as productive as traditional meetings. The DOE Scientific Discovery through Advanced Computing Program initiative has sponsored several collaboratory projects, including the National Fusion Collaboratory Project, to utilize recent advances in grid computing and advanced collaborative environments to further research in several specific scientific domains. For fusion, the collaborative technology being deployed is being used in present day research and is also scalable to future research, in particular, to the International Thermonuclear Experimental Reactor experiment that will require extensive collaboration capability worldwide. This paper briefly reviews the concepts of grid computing and advanced collaborative environments and gives specific examples of how these technologies are being used in fusion research today

  19. Women in global science advancing academic careers through international collaboration

    CERN Document Server

    Zippel, Kathrin

    2017-01-01

    Scientific and engineering research is increasingly global, and international collaboration can be essential to academic success. Yet even as administrators and policymakers extol the benefits of global science, few recognize the diversity of international research collaborations and their participants, or take gendered inequalities into account. Women in Global Science is the first book to consider systematically the challenges and opportunities that the globalization of scientific work brings to U.S. academics, especially for women faculty. Kathrin Zippel looks to the STEM fields as a case study, where gendered cultures and structures in academia have contributed to an underrepresentation of women. While some have approached underrepresentation as a national concern with a national solution, Zippel highlights how gender relations are reconfigured in global academia. For U.S. women in particular, international collaboration offers opportunities to step outside of exclusionary networks at home. International ...

  20. Collaborative production indicators in information architecture

    Directory of Open Access Journals (Sweden)

    Zayr Claudio Gomes da Silva

    2017-04-01

    Full Text Available Information architecture is considered a strategic domain of collaborative production of Information Science. We describe the conditions of collaborative production in information architecture, considering it a sub-area of the study of Information Science. In order to do so, we specifically address indicators of scientific production that include topics of study, typology and authorship, postgraduate programs and areas to which it is linked, among others. This is an exploratory and descriptive research. The scientific production of the National Meeting of Information Science Research (ENANCIB, from 2003 to 2013, is mapped in the "Network Matters" repository. Bibliometry is used to identify paratextual and textual elements that form evidence of collaborative production in information architecture. We verified the plurality in the academic formation of the researchers that approach information architecture, the sharing of languages, some indications of the disciplinary convergences from the collaboration in coauthorship, as well as a plexus of relations through the indirect citations that represent the sharing of elements Theoretical-methodological approaches in interdisciplinary production. In addition, the academic training of the researchers with the highest productivity index is mainly related to Librarianship and Computer Science. The collaborative production in the information architecture is presented as a multidisciplinary production process, constituting a convergent domain that allows the effectiveness of interdisciplinary practices in Information Science.

  1. Disaster preparedness networks in rural Midwest communities: Organizational roles, collaborations, and support for older residents.

    Science.gov (United States)

    Ashida, Sato; Zhu, Xi; Robinson, Erin L; Schroer, Audrey

    2018-05-17

    This study investigated the roles and interconnections among community organizations belonging to local disaster coalitions in Midwest in supporting older residents. Representatives from 44 organizations participated in one-time survey. Most were non-profit (68%) or federal/state/local government agencies (23%). The analyses of 761 relationships showed stronger collaborations in assessment (average strength=2.88 on a 5-point scale), emergency response (2.72), and planning (2.61); and weaker collaborations in co-sponsoring programs (1.71) and supporting older residents (2.03). The extent of collaboration (network density) to support older adults was also low. Coalitions may enhance network density and centralization by developing sub-committee structure and strengthening existing collaborations.

  2. A survey of scientific production and collaboration rate among of medical library and information sciences in ISI, scopus and Pubmed databases during 2001-2010.

    Science.gov (United States)

    Yousefy, Alireza; Malekahmadi, Parisa

    2013-01-01

    Research is essential for development. In other words, scientific development of each country can be evaluated by researchers' scientific production. Understanding and assessing the activities of researchers for planning and policy making is essential. The significance of collaboration in the production of scientific publications in today's complex world where technology is everything is very apparent. Scientists realized that in order to get their work wildly used and cited to by experts, they must collaborate. The collaboration among researchers results in the development of scientific knowledge and hence, attainment of wider information. The main objective of this research is to survey scientific production and collaboration rate in philosophy and theoretical bases of medical library and information sciences in ISI, SCOPUS, and Pubmed databases during 2001-2010. This is a descriptive survey and scientometrics methods were used for this research. Then data gathered via check list and analyzed by the SPSS software. Collaboration rate was calculated according to the formula. Among the 294 related abstracts about philosophy, and theoretical bases of medical library and information science in ISI, SCOPUS, and Pubmed databases during 2001-2010, the year 2007 with 45 articles has the most and the year 2003 with 16 articles has the least number of related collaborative articles in this scope. "B. Hjorland" with eight collaborative articles had the most one among Library and Information Sciences (LIS) professionals in ISI, SCOPUS, and Pubmed. Journal of Documentation with 29 articles and 12 collaborative articles had the most related articles. Medical library and information science challenges with 150 articles had first place in number of articles. Results also show that the most elaborative country in terms of collaboration point of view and number of articles was US. "University of Washington" and "University Western Ontario" are the most elaborative affiliation from

  3. Rethinking learning networks collaborative possibilities for a Deleuzian century

    CERN Document Server

    Kamp, Annelies

    2013-01-01

    In the face of today's complex policy challenges, various forms of 'joining-up' - networking, collaborating, partnering - have become key responses. However, institutions often fail to take advantage of the full benefits that joining-up offers. In this book, the author draws on ethnographic research into learning networks in post compulsory education and training in the state of Victoria, Australia, to explore why this might be the case and presents an argument for rethinking how joining-up works in practice. Throughout the book, Deleuzian concepts are engaged to forge a 'little complicating m

  4. A network architecture supporting consistent rich behavior in collaborative interactive applications.

    Science.gov (United States)

    Marsh, James; Glencross, Mashhuda; Pettifer, Steve; Hubbold, Roger

    2006-01-01

    Network architectures for collaborative virtual reality have traditionally been dominated by client-server and peer-to-peer approaches, with peer-to-peer strategies typically being favored where minimizing latency is a priority, and client-server where consistency is key. With increasingly sophisticated behavior models and the demand for better support for haptics, we argue that neither approach provides sufficient support for these scenarios and, thus, a hybrid architecture is required. We discuss the relative performance of different distribution strategies in the face of real network conditions and illustrate the problems they face. Finally, we present an architecture that successfully meets many of these challenges and demonstrate its use in a distributed virtual prototyping application which supports simultaneous collaboration for assembly, maintenance, and training applications utilizing haptics.

  5. C3: A Collaborative Web Framework for NASA Earth Exchange

    Science.gov (United States)

    Foughty, E.; Fattarsi, C.; Hardoyo, C.; Kluck, D.; Wang, L.; Matthews, B.; Das, K.; Srivastava, A.; Votava, P.; Nemani, R. R.

    2010-12-01

    The NASA Earth Exchange (NEX) is a new collaboration platform for the Earth science community that provides a mechanism for scientific collaboration and knowledge sharing. NEX combines NASA advanced supercomputing resources, Earth system modeling, workflow management, NASA remote sensing data archives, and a collaborative communication platform to deliver a complete work environment in which users can explore and analyze large datasets, run modeling codes, collaborate on new or existing projects, and quickly share results among the Earth science communities. NEX is designed primarily for use by the NASA Earth science community to address scientific grand challenges. The NEX web portal component provides an on-line collaborative environment for sharing of Eearth science models, data, analysis tools and scientific results by researchers. In addition, the NEX portal also serves as a knowledge network that allows researchers to connect and collaborate based on the research they are involved in, specific geographic area of interest, field of study, etc. Features of the NEX web portal include: Member profiles, resource sharing (data sets, algorithms, models, publications), communication tools (commenting, messaging, social tagging), project tools (wikis, blogs) and more. The NEX web portal is built on the proven technologies and policies of DASHlink.arc.nasa.gov, (one of NASA's first science social media websites). The core component of the web portal is a C3 framework, which was built using Django and which is being deployed as a common framework for a number of collaborative sites throughout NASA.

  6. Exascale Virtualized and Programmable Distributed Cyber Resource Control: Final Scientific Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, S.J.Ben [Univ. of California, Davis, CA (United States); Lauer, Gregory S. [Raytheon BBN Technologies, Minneapolis, MN (United States)

    2016-09-30

    Extreme-science drives the need for distributed exascale processing and communications that are carefully, yet flexibly, managed. Exponential growth of data for scientific simulations, experimental data, collaborative data analyses, remote visualization and GRID computing requirements of scientists in fields as diverse as high energy physics, climate change, genomics, fusion, synchrotron radiation, material science, medicine, and other scientific disciplines cannot be accommodated by simply applying existing transport protocols to faster pipes. Further, scientific challenges today demand diverse research teams, heightening the need for and increasing the complexity of collaboration. To address these issues within the network layer and physical layer, we have performed a number of research activities surrounding effective allocation and management of elastic optical network (EON) resources, particularly focusing on FlexGrid transponders. FlexGrid transponders support the opportunity to build Layer-1 connections at a wide range of bandwidths and to reconfigure them rapidly. The new flexibility supports complex new ways of using the physical layer that must be carefully managed and hidden from the scientist end-users. FlexGrid networks utilize flexible (or elastic) spectral bandwidths for each data link without using fixed wavelength grids. The flexibility in spectrum allocation brings many appealing features to network operations. Current networks are designed for the worst case impairments in transmission performance and the assigned spectrum is over-provisioned. In contrast, the FlexGrid networks can operate with the highest spectral efficiency and minimum bandwidth for the given traffic demand while meeting the minimum quality of transmission (QoT) requirement. Two primary focuses of our research are: (1) resource and spectrum allocation (RSA) for IP traffic over EONs, and (2) RSA for cross-domain optical networks. Previous work concentrates primarily on large

  7. Scientific knowledge dissemination in Danish seed communities of practice

    DEFF Research Database (Denmark)

    Tveden-Nyborg, Svend; Misfeldt, Morten; Boelt, Birte

    2012-01-01

    Danish agriculture and seed science have a history of successful collaboration spanning more than a hundred years. In this study, we interviewed 26 growers, consultants, and scientists from the Danish seed community focusing on their current knowledge status and on their views on improving scient......, as only the innovative growers prioritized time allocation for additional knowledge search. To improve scientific knowledge dissemination and interdisciplinary collaboration among Danish seed-CoP we recommend a combination of face-to-face and online communication processes.......Danish agriculture and seed science have a history of successful collaboration spanning more than a hundred years. In this study, we interviewed 26 growers, consultants, and scientists from the Danish seed community focusing on their current knowledge status and on their views on improving...... scientific knowledge communication. Theoretically, we consider these actors participants in different communities of practice relating to the production of seeds (Seed-CoP), and we conclude that strong network collaboration is present among Danish seed-CoP effectuated by the valuable work undertaken...

  8. Securing Collaborative Spectrum Sensing against Untrustworthy Secondary Users in Cognitive Radio Networks

    Science.gov (United States)

    Wang, Wenkai; Li, Husheng; Sun, Yan(Lindsay); Han, Zhu

    2009-12-01

    Cognitive radio is a revolutionary paradigm to migrate the spectrum scarcity problem in wireless networks. In cognitive radio networks, collaborative spectrum sensing is considered as an effective method to improve the performance of primary user detection. For current collaborative spectrum sensing schemes, secondary users are usually assumed to report their sensing information honestly. However, compromised nodes can send false sensing information to mislead the system. In this paper, we study the detection of untrustworthy secondary users in cognitive radio networks. We first analyze the case when there is only one compromised node in collaborative spectrum sensing schemes. Then we investigate the scenario that there are multiple compromised nodes. Defense schemes are proposed to detect malicious nodes according to their reporting histories. We calculate the suspicious level of all nodes based on their reports. The reports from nodes with high suspicious levels will be excluded in decision-making. Compared with existing defense methods, the proposed scheme can effectively differentiate malicious nodes and honest nodes. As a result, it can significantly improve the performance of collaborative sensing. For example, when there are 10 secondary users, with the primary user detection rate being equal to 0.99, one malicious user can make the false alarm rate [InlineEquation not available: see fulltext.] increase to 72%. The proposed scheme can reduce it to 5%. Two malicious users can make [InlineEquation not available: see fulltext.] increase to 85% and the proposed scheme reduces it to 8%.

  9. Scientific research in obstructive sleep apnea syndrome: bibliometric analysis in SCOPUS, 1991-2012.

    Science.gov (United States)

    Huamaní, Charles; Rey de Castro, Jorge; González-Alcaide, Gregorio; Polesel, Daniel Ninello; Tufik, Sergio; Andersen, Monica Levy

    2015-03-01

    The research in obstructive sleep apnea (OSA) may be beneficial from the collaboration between countries and researchers. In this study, we aimed to analyze the scientific research on OSA from 1991 to 2012 and to evaluate the collaboration networks between countries. We conducted a bibliometric study in the SCOPUS database. The systematic search was limited to "articles" published from 1991 to 2012. Articles are results of original research; we evaluated the following criteria: number of countries represented, number of authors, number of citations, and journal names. We determined which countries were the most productive (more articles published) and the number of collaborations between these countries. The probability of citation was evaluated using adjusted odds ratios in a logistic regression analysis. We found a total of 6,896 OSA-related articles that had been published in 1,422 journals, 50 % of these articles were concentrated in 41 journals. Of the 74 different countries associated with these articles, the USA had the highest involvement with 23.8 % of all articles published. The probability of citation increased by 1.23 times for each additional author, and by 2.23 times for each additional country represented; these findings were independent of time since publication, journal, or the country of the author. Scientific production on OSA is increasing with limited international collaboration. The country with the greatest production in this period (1991-2012) was the USA, which concentrated the international collaboration network on OSA. We recommended that articles should be produced with international collaboration to improve the quantity of scientific publications and their chances of publication in high impact journals.

  10. The degree distribution of fixed act-size collaboration networks

    Indian Academy of Sciences (India)

    In this paper, we investigate a special evolving model of collaboration net-works, where the act-size is fixed. Based on the first-passage probability of Markov chain theory, this paper provides a rigorous proof for the existence of a limiting degree distribution of this model and proves that the degree distribution obeys the ...

  11. Hybrid Collaborative Learning for Classification and Clustering in Sensor Networks

    Science.gov (United States)

    Wagstaff, Kiri L.; Sosnowski, Scott; Lane, Terran

    2012-01-01

    Traditionally, nodes in a sensor network simply collect data and then pass it on to a centralized node that archives, distributes, and possibly analyzes the data. However, analysis at the individual nodes could enable faster detection of anomalies or other interesting events as well as faster responses, such as sending out alerts or increasing the data collection rate. There is an additional opportunity for increased performance if learners at individual nodes can communicate with their neighbors. In previous work, methods were developed by which classification algorithms deployed at sensor nodes can communicate information about event labels to each other, building on prior work with co-training, self-training, and active learning. The idea of collaborative learning was extended to function for clustering algorithms as well, similar to ideas from penta-training and consensus clustering. However, collaboration between these learner types had not been explored. A new protocol was developed by which classifiers and clusterers can share key information about their observations and conclusions as they learn. This is an active collaboration in which learners of either type can query their neighbors for information that they then use to re-train or re-learn the concept they are studying. The protocol also supports broadcasts from the classifiers and clusterers to the rest of the network to announce new discoveries. Classifiers observe an event and assign it a label (type). Clusterers instead group observations into clusters without assigning them a label, and they collaborate in terms of pairwise constraints between two events [same-cluster (mustlink) or different-cluster (cannot-link)]. Fundamentally, these two learner types speak different languages. To bridge this gap, the new communication protocol provides four types of exchanges: hybrid queries for information, hybrid "broadcasts" of learned information, each specified for classifiers-to-clusterers, and clusterers

  12. Exploring the Impact of Network Structure and Demand Collaboration on the Dynamics of a Supply Chain Network Using a Robust Control Approach

    Directory of Open Access Journals (Sweden)

    Yongchang Wei

    2015-01-01

    uncertain environment. The impact of network structure and collaboration on the dynamics and robustness of supply chain network, however, remains to be explored. In this paper, a unified state space model for a two-layer supply chain network composed of multiple distributors and multiple retailers is developed. A robust control algorithm is advocated to reduce both order and demand fluctuations for unknown demand. Numerical simulations demonstrate that the robust control approach has the advantage to reduce both inventory and order fluctuations. In the simulation experiment, it is interesting to notice that complex network structure and collaborations might contribute to the reduction of inventory and order oscillations. This paper yields new insights into the overestimated bullwhip effect problem and helps us understand the complexities of supply chain networks.

  13. Agent Collaborative Target Localization and Classification in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Sheng Wang

    2007-07-01

    Full Text Available Wireless sensor networks (WSNs are autonomous networks that have beenfrequently deployed to collaboratively perform target localization and classification tasks.Their autonomous and collaborative features resemble the characteristics of agents. Suchsimilarities inspire the development of heterogeneous agent architecture for WSN in thispaper. The proposed agent architecture views WSN as multi-agent systems and mobileagents are employed to reduce in-network communication. According to the architecture,an energy based acoustic localization algorithm is proposed. In localization, estimate oftarget location is obtained by steepest descent search. The search algorithm adapts tomeasurement environments by dynamically adjusting its termination condition. With theagent architecture, target classification is accomplished by distributed support vectormachine (SVM. Mobile agents are employed for feature extraction and distributed SVMlearning to reduce communication load. Desirable learning performance is guaranteed bycombining support vectors and convex hull vectors. Fusion algorithms are designed tomerge SVM classification decisions made from various modalities. Real world experimentswith MICAz sensor nodes are conducted for vehicle localization and classification.Experimental results show the proposed agent architecture remarkably facilitates WSNdesigns and algorithm implementation. The localization and classification algorithms alsoprove to be accurate and energy efficient.

  14. Social and content aware One-Class recommendation of papers in scientific social networks.

    Science.gov (United States)

    Wang, Gang; He, XiRan; Ishuga, Carolyne Isigi

    2017-01-01

    With the rapid development of information technology, scientific social networks (SSNs) have become the fastest and most convenient way for researchers to communicate with each other. Many published papers are shared via SSNs every day, resulting in the problem of information overload. How to appropriately recommend personalized and highly valuable papers for researchers is becoming more urgent. However, when recommending papers in SSNs, only a small amount of positive instances are available, leaving a vast amount of unlabelled data, in which negative instances and potential unseen positive instances are mixed together, which naturally belongs to One-Class Collaborative Filtering (OCCF) problem. Therefore, considering the extreme data imbalance and data sparsity of this OCCF problem, a hybrid approach of Social and Content aware One-class Recommendation of Papers in SSNs, termed SCORP, is proposed in this study. Unlike previous approaches recommended to address the OCCF problem, social information, which has been proved playing a significant role in performing recommendations in many domains, is applied in both the profiling of content-based filtering and the collaborative filtering to achieve superior recommendations. To verify the effectiveness of the proposed SCORP approach, a real-life dataset from CiteULike was employed. The experimental results demonstrate that the proposed approach is superior to all of the compared approaches, thus providing a more effective method for recommending papers in SSNs.

  15. A social network perspective on teacher collaboration in schools: Theory, methodology, and applications

    NARCIS (Netherlands)

    Moolenaar, Nienke

    2012-01-01

    An emerging trend in educational research is the use of social network theory and methodology to understand how teacher collaboration can support or constrain teaching, learning, and educational change. This article provides a critical synthesis of educational literature on school social networks

  16. Towards identifying Collaborative Learning groups using Social Media

    Directory of Open Access Journals (Sweden)

    Selver Softic

    2012-11-01

    Full Text Available This work reports about the preliminary results and ongoing research based upon profiling collaborative learning groups of persons within the social micro-blogging platforms like Twitter that share potentially common interests on special topic. Hereby the focus is held on spontaneously initiated collaborative learning in Social Media and detection of collaborative learning groups based upon their communication dynamics. Research questions targeted to be answered are: are there any useful data mining algorithms to fulfill the task of pre-selection and clustering of users in social networks, how good do they perform, and what are the metrics that could be used for detection and evaluation in the realm of this task. Basic approach presented here uses as preamble hypothesis that users and their interests in Social Networks can be identified through content generated by them and content they consume. Special focus is held on topic oriented approach as least common bounding point. Those should be also the basic criteria used to detect and outline the learning groups. The aim of this work is to deliver first scientific pre-work for successfully implementation of recommender systems using social network metrics and content features of social network users for the purposes of better learning group communication and information consumption.

  17. Robust collaborative process interactions under system crash and network failures

    NARCIS (Netherlands)

    Wang, Lei; Wombacher, Andreas; Ferreira Pires, Luis; van Sinderen, Marten J.; Chi, Chihung

    2013-01-01

    With the possibility of system crashes and network failures, the design of robust client/server interactions for collaborative process execution is a challenge. If a business process changes its state, it sends messages to the relevant processes to inform about this change. However, server crashes

  18. Collaborative research: Accomplishments & potential

    Science.gov (United States)

    Katsouyanni, Klea

    2008-01-01

    Although a substantial part of scientific research is collaborative and increasing globalization will probably lead to its increase, very few studies actually investigate the advantages, disadvantages, experiences and lessons learned from collaboration. In environmental epidemiology interdisciplinary collaboration is essential and the contrasting geographical patterns in exposure and disease make multi-location projects essential. This paper is based on a presentation given at the Annual Conference of the International Society for Environmental Epidemiology, Paris 2006, and is attempting to initiate a discussion on a framework for studying collaborative research. A review of the relevant literature showed that indeed collaborative research is rising, in some countries with impressive rates. However, there are substantial differences between countries in their outlook, need and respect for collaboration. In many situations collaborative publications receive more citations than those based on national authorship. The European Union is the most important host of collaborative research, mainly driven by the European Commission through the Framework Programmes. A critical assessment of the tools and trends of collaborative networks under FP6, showed that there was a need for a critical revision, which led to changes in FP7. In conclusion, it is useful to study the characteristics of collaborative research and set targets for the future. The added value for science and for the researchers involved may be assessed. The motivation for collaboration could be increased in the more developed countries. Particular ways to increase the efficiency and interaction in interdisciplinary and intercultural collaboration may be developed. We can work towards "the principles of collaborative research" in Environmental Epidemiology. PMID:18208596

  19. The globalization of health research: harnessing the scientific diaspora.

    Science.gov (United States)

    Anand, Nalini P; Hofman, Karen J; Glass, Roger I

    2009-04-01

    The scientific diaspora is a unique resource for U.S. universities. By drawing on the expertise, experience, and catalytic potential of diaspora scientists, universities can capitalize more fully on their diverse intellectual resources to make lasting contributions to global health. This article examines the unique contributions of the diaspora in international research collaborations, advantages of harnessing the diaspora and benefits to U.S. universities of fostering these collaborations, challenges faced by scientists who want to work with their home countries, examples of scientists engaging with their home countries, and specific strategies U.S. universities and donors can implement to catalyze these collaborations. The contributions of the diaspora to the United States are immense: International students enrolled in academic year 2007-2008 contributed an estimated $15 billion to the U.S. economy. As scientific research becomes increasingly global, the percentage of scientific publications with authors from foreign countries has grown from 8% in 1988 to 20% in 2005. Diaspora scientists can help build trusting relationships with scientists abroad, and international collaborations may improve the health of underserved populations at home. Although opportunities for diaspora networks are increasing, most home countries often lack enabling policies, infrastructure, and resources to effectively utilize their diaspora communities abroad. This article examines how some governments have successfully mobilized their scientific diaspora to become increasingly engaged in their national research agendas. Recommendations include specific strategies, including those that encourage U.S. universities to promote mini-sabbaticals and provide seed funding and flexible time frames.

  20. Uses of the Drupal CMS Collaborative Framework in the Woods Hole Scientific Community (Invited)

    Science.gov (United States)

    Maffei, A. R.; Chandler, C. L.; Work, T. T.; Shorthouse, D.; Furfey, J.; Miller, H.

    2010-12-01

    Organizations that comprise the Woods Hole scientific community (Woods Hole Oceanographic Institution, Marine Biological Laboratory, USGS Woods Hole Coastal and Marine Science Center, Woods Hole Research Center, NOAA NMFS Northeast Fisheries Science Center, SEA Education Association) have a long history of collaborative activity regarding computing, computer network and information technologies that support common, inter-disciplinary science needs. Over the past several years there has been growing interest in the use of the Drupal Content Management System (CMS) playing a variety of roles in support of research projects resident at several of these organizations. Many of these projects are part of science programs that are national and international in scope. Here we survey the current uses of Drupal within the Woods Hole scientific community and examine reasons it has been adopted. The promise of emerging semantic features in the Drupal framework is examined and projections of how pre-existing Drupal-based websites might benefit are made. Closer examination of Drupal software design exposes it as more than simply a content management system. The flexibility of its architecture; the power of its taxonomy module; the care taken in nurturing the open-source developer community that surrounds it (including organized and often well-attended code sprints); the ability to bind emerging software technologies as Drupal modules; the careful selection process used in adopting core functionality; multi-site hosting and cross-site deployment of updates and a recent trend towards development of use-case inspired Drupal distributions casts Drupal as a general-purpose application deployment framework. Recent work in the semantic arena casts Drupal as an emerging RDF framework as well. Examples of roles played by Drupal-based websites within the Woods Hole scientific community that will be discussed include: science data metadata database, organization main website, biological

  1. Correlation between Scientific Output and Collaboration among LIS Scholars around the World [as Reflected in Emerald Database

    Directory of Open Access Journals (Sweden)

    Farshid Danesh

    2009-12-01

    Full Text Available Sample of The present investigation was drawn from the total number of LIS articles published in Emereald Database during 2003-2008 period. 8320 articles was produced by 10760 researchers. The most prolific writers, countries having the highest number of articles, the most prolific research centers, and the busiest journals based on article count alone, were identified. Mean coefficient of collaboration among LIS scholars was 0.08. No significant correlation was found between scientific output and degree of collaboration. Findings indicated that in spite of the importance of joint research that would eventually lead to an increase in quality, coefficient of collaboration among LIS scholars is very low.

  2. Using cloud-computing applications to support collaborative scientific inquiry: Examining pre-service teachers’ perceived barriers towards integration / Utilisation d'applications infonuagiques pour appuyer la recherche scientifique collaborative

    OpenAIRE

    Joel Donna; Brant G Miller

    2013-01-01

    Technology plays a crucial role in facilitating collaboration within the scientific community. Cloud-computing applications can be used to model such collaboration and support inquiry within the secondary science classroom. Little is known about pre-service teachers’ beliefs related to the envisioned use of this technology in their teaching. These beliefs may influence future integration. This study finds several first-order barriers, such as perceptions that these tools would take too much t...

  3. Work of scientific and technological information under network environment

    International Nuclear Information System (INIS)

    Chen Yingxi; Huang Daifu; Yang Lifeng

    2010-01-01

    With the development of internet and information technology, the work of scientific and technological information is faced with great challenge. This article expounds the new changes of scientific and technological information in enterprise under network environment by giving a minute description on the situation the work faced and characteristic of the work. Not only does it carry out enthusiastic discussion upon problems which are present in the work of scientific and technological information in the company, but puts forward proposals and specific measures as well. Service theory is also offered by adjusting and reforming the resources construction, service ways and the job of providing contents. We should take vigorous action to the research work of scientific and technological information, changing the information directional service into knowledge providing service. (authors)

  4. [Scientific collaboration and article citations: practices in medical journals].

    Science.gov (United States)

    Bador, Pascal; Lafouge, Thierry

    2012-01-01

    In order to characterize scientific collaboration the best way is to study co-signature of articles. Two indicators are interesting: number of authors and international character. The objective is to study correlation between these two indicators and citation number. We selected two pharmacy and medicine journals in order to compare practices. We used a sample of about 800 articles published in 2002-2005 for which we collected citations up to 2010. We transformed numeric variables, authors number and citation number, into qualitative variables. "Authors" and "Citations" variables are not independent. Less cited articles are often published by one author or a very small team while international character of articles generally increases citation number. This micro-analysis also allowed us to better understand publication practices. © 2012 Société Française de Pharmacologie et de Thérapeutique.

  5. Exploring teachers' beliefs and knowledge about scientific inquiry and the nature of science: A collaborative action research project

    Science.gov (United States)

    Fazio, Xavier Eric

    Science curriculum reform goals espouse the need to foster and support the development of scientific literacy in students. Two critical goals of scientific literacy are students' engagement in, and developing more realistic conceptions about scientific inquiry (SI) and the nature of science (NOS). In order to promote the learning of these curriculum emphases, teachers themselves must possess beliefs and knowledge supportive of them. Collaborative action research is a viable form of curriculum and teacher development that can be used to support teachers in developing the requisite beliefs and knowledge that can promote these scientific literacy goals. This research study used a collective case study methodology to describe and interpret the views and actions of four teachers participating in a collaborative action research project. I explored the teachers' SI and NOS views throughout the project as they investigated ideas and theories, critically examined their current curricular practice, and implemented and reflected on these modified curricular practices. By the end of the research study, all participants had uniquely augmented their understanding of SI and NOS. The participants were better able to provide explanatory depth to some SI and NOS ideas; however, specific belief revision with respect to SI and NOS ideas was nominal. Furthermore, their idealized action research plans were not implemented to the extent that they were planned. Explanations for these findings include: impact of significant past educational experiences, prior understanding of SI and NOS, depth of content and pedagogical content knowledge of the discipline, and institutional and instructional constraints. Nonetheless, through participation in the collaborative action research process, the teachers developed professionally, personally, and socially. They identified many positive outcomes from participating in a collaborative action research project; however, they espoused constraints to

  6. Collaborative Services for Customized Production in Networked Companies

    OpenAIRE

    Fornasiero , Rosanna; Bastos , João; Azevedo , Américo; Zangiacomi , Andrea; Coscia , Eva

    2013-01-01

    Part 12: Services II; International audience; Increasingly, consumer demand of fashionable products is arising as significant challenge for company managers. In order to respond to this demand, companies are asked to supply small series of innovative and fashionable goods of high quality, affordable price and eco-compatibility in short periods of time and with high service levels. As a result of these rapidly evolving challenges, companies are forming collaborative networks in order to design...

  7. A study on scientific collaboration and co-authorship patterns in library and information science studies in Iran between 2005 and 2009.

    Science.gov (United States)

    Siamaki, Saba; Geraei, Ehsan; Zare-Farashbandi, Firoozeh

    2014-01-01

    Scientific collaboration is among the most important subjects in scientometrics, and many studies have investigated this concept to this day. The goal of the current study is investigation of scientific collaboration and co-authorship patterns of researchers in the field of library and information science in Iran between years 2005 and 2009. The current study uses scientometrics method. The statistical population consists of 942 documents published in Iranian library and information science journals between years 2005 and 2009. Collaboration coefficient, collaboration index (CI), and degree of collaboration (DC) were used for data analysis. The findings showed that among 942 investigated documents, 506 documents (53.70%) was created by one individual researcher and 436 documents (46.30%) were the result of collaboration between two or more researchers. Also, the highest rank of different authorship patterns belonged to National Journal of Librarianship and Information Organization (code H). The average collaboration coefficient for the library and information science researchers in the investigated time frame was 0.23. The closer this coefficient is to 1, the higher is the level of collaboration between authors, and a coefficient near zero shows a tendency to prefer individual articles. The highest collaboration index with an average of 1.92 authors per paper was seen in year 1388. The five year collaboration index in library and information science in Iran was 1.58, and the average degree of collaboration between researchers in the investigated papers was 0.46, which shows that library and information science researchers have a tendency for co-authorship. However, the co-authorship had increased in recent years reaching its highest number in year 1388. The researchers' collaboration coefficient also shows relative increase between years 1384 and 1388. National Journal of Librarianship and Information Organization has the highest rank among all the investigated

  8. Information technology as a facilitator of suppliers’ collaborative communication, network governance and relationship longevity in supply chains

    Directory of Open Access Journals (Sweden)

    Richard Chinomona

    2013-08-01

    Full Text Available There is an increasing awareness about the paramount importance of information technology within business in the context of large businesses. However, research about the investigation of the role of information technology resources in fostering collaborative communication, network governance and relationship longevity in the small and medium enterprise sector has remained scant. The primary objective of this study was to investigate the influence of information technology on collaborative communication, network governance and relationship longevity in Zimbabwe’s SME sector. Five research hypotheses were posited and sample data from 162 small and medium enterprise suppliers were collected and used to empirically test the hypotheses. The results of this study showed that information technology resources positively influenced small and medium enterprise suppliers’ collaborative communication, network governance and consequential relationship longevity with their buyers in a significant way. Overall, the current study findings provided tentative support to the proposition that information technology resources, collaborative communication and network governance should be recognised as significant antecedents for improved relationship longevity between suppliers and their buyers in the SME setting. Therefore, managers in the small and medium enterprise sector and small and medium enterprise owners need to pay attention to both collaborative communication and network governance in order to optimise information technology resource impact on their relationship longevity with their business counterparts. Limitations and future research directions were also indicated.

  9. Analysis of Research Collaboration between Universities and Private Companies in Spain Based on Joint Scientific Publications

    Science.gov (United States)

    Olmeda-Gómez, Carlos; Ovalle-Perandones, María Antonia; de Moya-Anegón, Félix

    2015-01-01

    Introduction: The article presents the results of a study on scientific collaboration between Spanish universities and private enterprise, measured in terms of the co-authorship of papers published in international journals. Method: Bibliometric analysis of papers published in journals listed in Scopus in 2003-2011. Indicators were calculated for…

  10. The effect of aging on network structure

    OpenAIRE

    Zhu, Han; Wang, Xin-Ran; Zhu, Jian-Yang

    2003-01-01

    In network evolution, the effect of aging is universal: in scientific collaboration network, scientists have a finite time span of being active; in movie actors network, once popular stars are retiring from stage; devices on the Internet may become outmoded with techniques developing so rapidly. Here we find in citation networks that this effect can be represented by an exponential decay factor, $e^{-\\beta \\tau}$, where $\\tau $ is the node age, while other evolving networks (the Internet for ...

  11. Do project management and network governance contribute to inter-organisational collaboration in primary care? A mixed methods study.

    Science.gov (United States)

    Schepman, Sanneke; Valentijn, Pim; Bruijnzeels, Marc; Maaijen, Marlies; de Bakker, Dinny; Batenburg, Ronald; de Bont, Antoinette

    2018-06-07

    The need for organisational development in primary care has increased as it is accepted as a means of curbing rising costs and responding to demographic transitions. It is only within such inter-organisational networks that small-scale practices can offer treatment to complex patients and continuity of care. The aim of this paper is to explore, through the experience of professionals and patients, whether, and how, project management and network governance can improve the outcomes of projects which promote inter-organisational collaboration in primary care. This paper describes a study of projects aimed at improving inter-organisational collaboration in Dutch primary care. The projects' success in project management and network governance was monitored by interviewing project leaders and board members on the one hand, and improvement in the collaboration by surveying professionals and patients on the other. Both qualitative and quantitative methods were applied to assess the projects. These were analysed, finally, using multi-level models in order to account for the variation in the projects, professionals and patients. Successful network governance was associated positively with the professionals' satisfaction with the collaboration; but not with improvements in the quality of care as experienced by patients. Neither patients nor professionals perceived successful project management as associated with the outcomes of the collaboration projects. This study shows that network governance in particular makes a difference to the outcomes of inter-organisational collaboration in primary care. However, project management is not a predictor for successful inter-organisational collaboration in primary care.

  12. Proceedings of the African Field Epidemiology Network (AFENET) Scientific Conference 17-22 November 2013 Addis Ababa, Ethiopia: plenaries and oral presentations.

    Science.gov (United States)

    Gitta, Sheba Nakacubo; Mwesiga, Allan; Kamadjeu, Raoul

    2015-01-01

    Biennially, trainees and graduates of Field Epidemiology and Laboratory Training Programs (FELTPs) are presented with a platform to share investigations and projects undertaken during their two-year training in Applied Epidemiology. The African Field Epidemiology Network (AFENET) Scientific Conference, is a perfect opportunity for public health professionals from various sectors and organizations to come together to discuss issues that impact on public health in Africa. This year's conference was organized by the Ethiopian Health and Nutrition Research Institute in collaboration with the Ethiopia Ministry of Health, Ethiopian Public Health Association (EPHA), Ethiopia Field Epidemiology Training Program (EFETP), Addis Ababa University (AAU), Training Programs in Epidemiology and Public Health Interventions Network (TEPHINET) and AFENET. Participants at this year's conference numbered 400 from over 20 countries including; Angola, Burkina Faso, Cameroon, Central African Republic, Democratic Republic of the Congo, Ethiopia, Ghana, Indonesia, Kenya, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Sudan, Tanzania, Uganda, Yemen and Zimbabwe. The topics covered in the 144 oral presentations included: global health security, emergency response, public health informatics, vaccine preventable diseases, immunization, outbreak investigation, Millennium Development Goals, Non-Communicable Diseases, and public health surveillance. The theme for the 5th AFENET Scientific Conference was; "Addressing Public Health Priorities in Africa through FELTPs." Previous AFENET Scientific conferences have been held in: Accra, Ghana (2005), Kampala, Uganda (2007), Mombasa, Kenya (2009) and Dar es Salaam, Tanzania (2011).

  13. Social inertia and diversity in collaboration networks

    Science.gov (United States)

    Ramasco, J. J.

    2007-04-01

    Random graphs are useful tools to study social interactions. In particular, the use of weighted random graphs allows to handle a high level of information concerning which agents interact and in which degree the interactions take place. Taking advantage of this representation, we recently defined a magnitude, the Social Inertia, that measures the eagerness of agents to keep ties with previous partners. To study this magnitude, we used collaboration networks that are specially appropriate to obtain valid statitical results due to the large size of publically available databases. In this work, I study the Social Inertia in two of these empirical networks, IMDB movie database and condmat. More specifically, I focus on how the Inertia relates to other properties of the graphs, and show that the Inertia provides information on how the weight of neighboring edges correlates. A social interpretation of this effect is also offered.

  14. Collaborative Procurement within Enterprise Networks: A Literature Review, a Reference Framework and a Case Study

    Science.gov (United States)

    Cagnazzo, Luca; Taticchi, Paolo; Bidini, Gianni; Sameh, Mohamed

    Collaboration among companies is nowadays a success leverage from those involved, especially for SMEs. The networking advantages are several and among them, reducing costs is a critical one. Costs reduction due to the possibility of Collaborative Procurement (CP) among partners is one of the most important achievements in a network. While the literature available offers good bases for managing single contractor procurement issues, little research addresses the case of CP within Enterprise Networks (ENs). This paper explore the mentioned issue and proposes a general framework for managing CP in ENs, those with the Virtual Development Office (VDO) structure. The findings from the application of the framework proposed in an Italian network are highlighted so as to provide preliminary results and drive future research.

  15. Enhancing research publications and advancing scientific writing in health research collaborations: sharing lessons learnt from the trenches.

    Science.gov (United States)

    Li, Guowei; Jin, Yanling; Mbuagbaw, Lawrence; Dolovich, Lisa; Adachi, Jonathan D; Levine, Mitchell Ah; Cook, Deborah; Samaan, Zainab; Thabane, Lehana

    2018-01-01

    Disseminating research protocols, processes, methods or findings via peer-reviewed publications has substantive merits and benefits to various stakeholders. In this article, we share strategies to enhance research publication contents (ie, what to write about) and to facilitate scientific writing (ie, how to write) in health research collaborations. Empirical experience sharing. To enhance research publication contents, we encourage identifying appropriate opportunities for publications, publishing protocols ahead of results papers, seeking publications related to methodological issues, considering justified secondary analyses, and sharing academic process or experience. To advance writing, we suggest setting up scientific writing as a goal, seeking an appropriate mentorship, making full use of scientific meetings and presentations, taking some necessary formal training in areas such as effective communication and time and stress management, and embracing the iterative process of writing. All the strategies we share are dependent upon each other; and they advocate gradual academic accomplishments through study and training in a "success-breeds-success" way. It is expected that the foregoing shared strategies in this paper, together with other previous guidance articles, can assist one with enhancing research publications, and eventually one's academic success in health research collaborations.

  16. AGENT-BASED NEGOTIATION PLATFORM IN COLLABORATIVE NETWORKED ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Adina-Georgeta CREȚAN

    2014-05-01

    Full Text Available This paper proposes an agent-based platform to model and support parallel and concurrent negotiations among organizations acting in the same industrial market. The underlying complexity is to model the dynamic environment where multi-attribute and multi-participant negotiations are racing over a set of heterogeneous resources. The metaphor Interaction Abstract Machines (IAMs is used to model the parallelism and the non-deterministic aspects of the negotiation processes that occur in Collaborative Networked Environment.

  17. Multidisciplinary Collaboration in Professional Networks for PD A Mixed-Method Analysis

    NARCIS (Netherlands)

    Eijk, M. van; Bloem, B.R.; Nijhuis, F.A.P.; Koetsenruijter, J.; Vrijhoef, H.J.; Munneke, M.; Wensing, M.; Faber, M.J.

    2015-01-01

    BACKGROUND: ParkinsonNet, a nationwide organization with regionally oriented professional health networks in TheNetherlands, aims to improve the quality of Parkinson care. Facilitation of multidisciplinary collaboration is a key objective of ParkinsonNet. OBJECTIVES: This study examined whether the

  18. NASA's Scientific Visualization Studio

    Science.gov (United States)

    Mitchell, Horace G.

    2003-01-01

    Since 1988, the Scientific Visualization Studio(SVS) at NASA Goddard Space Flight Center has produced scientific visualizations of NASA s scientific research and remote sensing data for public outreach. These visualizations take the form of images, animations, and end-to-end systems and have been used in many venues: from the network news to science programs such as NOVA, from museum exhibits at the Smithsonian to White House briefings. This presentation will give an overview of the major activities and accomplishments of the SVS, and some of the most interesting projects and systems developed at the SVS will be described. Particular emphasis will be given to the practices and procedures by which the SVS creates visualizations, from the hardware and software used to the structures and collaborations by which products are designed, developed, and delivered to customers. The web-based archival and delivery system for SVS visualizations at svs.gsfc.nasa.gov will also be described.

  19. Volcanic Ash Hazards and Risk in Argentina: Scientific and Social Collaborative Approaches.

    Science.gov (United States)

    Rovere, E. I., II; Violante, R. A.; Vazquez Herrera, M. D.; Martinez Fernandez, M. D. L. P.

    2015-12-01

    Due to the absence of alerts or volcanic impacts during 60 years (from 1932, Quizapu-Descabezado Grande -one of the major eruptions of the XX Century- until 1991 Hudson eruption) there was mild remembrance of volcanic hazards in the collective memory of the Argentina citizens. Since then and until April 2015, the social perception changed according to different factors: age, location, education, culture, vulnerability. This variability produces a maze of challenges that go beyond the scientific knowledge. Volcanic health hazards began to be understood in 2008 after the eruption of Chaiten volcano. The particle size of ashfall (concern on epidemiological monitoring. In 2011 the volcanic complex Puyehue - Cordon Caulle eruption produced ashfall through plumes that reached densely populated cities like San Carlos de Bariloche and Buenos Aires. Farther away in South Africa and New Zealand ash plumes forced airlines to cancel local and international flights for several weeks. The fear of another eruption did not wait long when Calbuco volcano started activity in April 2015, it came at a time when Villarrica volcano was also in an eruptive phase, and the SERNAGEOMIN Chile, through the Observatory OVDAS of the Southern Andes, faced multiple natural disasters at the same time, 3 volcanoes in activity, lahars, pyroclastic flows and floods in the North. In Argentina, critical infrastructure, farming, livestock and primary supplies were affected mainly in the western region. Copahue volcano, is increasing unstability on seismic and geochemistry data since 2012. Caviahue resort village, distant only 8 Km. from the active vent happens to be a high vulnerable location. In 2014 GEVAS (Geology, Volcanoes, Environment and Health) Network ARGENTINA Civil Association started collaborative activities with SEGEMAR and in 2015 with the IAPG (Geoethics, Argentina), intending to promote Best Practices in volcanic and geological hazards. Geoscientists and the volcano vulnerable population

  20. Supporting tactical intelligence using collaborative environments and social networking

    Science.gov (United States)

    Wollocko, Arthur B.; Farry, Michael P.; Stark, Robert F.

    2013-05-01

    Modern military environments place an increased emphasis on the collection and analysis of intelligence at the tactical level. The deployment of analytical tools at the tactical level helps support the Warfighter's need for rapid collection, analysis, and dissemination of intelligence. However, given the lack of experience and staffing at the tactical level, most of the available intelligence is not exploited. Tactical environments are staffed by a new generation of intelligence analysts who are well-versed in modern collaboration environments and social networking. An opportunity exists to enhance tactical intelligence analysis by exploiting these personnel strengths, but is dependent on appropriately designed information sharing technologies. Existing social information sharing technologies enable users to publish information quickly, but do not unite or organize information in a manner that effectively supports intelligence analysis. In this paper, we present an alternative approach to structuring and supporting tactical intelligence analysis that combines the benefits of existing concepts, and provide detail on a prototype system embodying that approach. Since this approach employs familiar collaboration support concepts from social media, it enables new-generation analysts to identify the decision-relevant data scattered among databases and the mental models of other personnel, increasing the timeliness of collaborative analysis. Also, the approach enables analysts to collaborate visually to associate heterogeneous and uncertain data within the intelligence analysis process, increasing the robustness of collaborative analyses. Utilizing this familiar dynamic collaboration environment, we hope to achieve a significant reduction of time and skill required to glean actionable intelligence in these challenging operational environments.

  1. Discussion Tool Effects on Collaborative Learning and Social Network Structure

    Science.gov (United States)

    Tomsic, Astrid; Suthers, Daniel D.

    2006-01-01

    This study investigated the social network structure of booking officers at the Honolulu Police Department and how the introduction of an online discussion tool affected knowledge about operation of a booking module. Baseline data provided evidence for collaboration among officers in the same district using e-mail, telephone and face-to-face media…

  2. Structuring and Regulating Collaborative Learning in Higher Education with Wireless Networks and Mobile Tools

    Science.gov (United States)

    Jarvela, Sanna; Naykki, Piia; Laru, Jari; Luokkanen, Tiina

    2007-01-01

    In our recent research we have explored possibilities to scaffold collaborative learning in higher education with wireless networks and mobile tools. The pedagogical ideas are grounded on concepts of collaborative learning, including the socially shared origin of cognition, as well as self-regulated learning theory. This paper presents our three…

  3. Growing complex network of citations of scientific papers: Modeling and measurements.

    Science.gov (United States)

    Golosovsky, Michael; Solomon, Sorin

    2017-01-01

    We consider the network of citations of scientific papers and use a combination of the theoretical and experimental tools to uncover microscopic details of this network growth. Namely, we develop a stochastic model of citation dynamics based on the copying-redirection-triadic closure mechanism. In a complementary and coherent way, the model accounts both for statistics of references of scientific papers and for their citation dynamics. Originating in empirical measurements, the model is cast in such a way that it can be verified quantitatively in every aspect. Such validation is performed by measuring citation dynamics of physics papers. The measurements revealed nonlinear citation dynamics, the nonlinearity being intricately related to network topology. The nonlinearity has far-reaching consequences including nonstationary citation distributions, diverging citation trajectories of similar papers, runaways or "immortal papers" with infinite citation lifetime, etc. Thus nonlinearity in complex network growth is our most important finding. In a more specific context, our results can be a basis for quantitative probabilistic prediction of citation dynamics of individual papers and of the journal impact factor.

  4. Exploring Vietnamese co-authorship patterns in social sciences with basic network measures of 2008-2017 Scopus data.

    Science.gov (United States)

    Ho, Tung Manh; Nguyen, Ha Viet; Vuong, Thu-Trang; Dam, Quang-Minh; Pham, Hiep-Hung; Vuong, Quan-Hoang

    2017-01-01

    Background: Collaboration is a common occurrence among Vietnamese scientists; however, insights into Vietnamese scientific collaborations have been scarce. On the other hand, the application of social network analysis in studying science collaboration has gained much attention all over the world. The technique could be employed to explore Vietnam's scientific community. Methods: This paper employs network theory to explore characteristics of a network of 412 Vietnamese social scientists whose papers can be found indexed in the Scopus database. Two basic network measures, density and clustering coefficient, were taken, and the entire network was studied in comparison with two of its largest components. Results: The networks connections are very sparse, with a density of only 0.47%, while the clustering coefficient is very high (58.64%). This suggests an inefficient dissemination of information, knowledge, and expertise in the network. Secondly, the disparity in levels of connection among individuals indicates that the network would easily fall apart if a few highly-connected nodes are removed. Finally, the two largest components of the network were found to differ from the entire networks in terms of measures and were both led by the most productive and well-connected researchers. Conclusions: High clustering and low density seems to be tied to inefficient dissemination of expertise among Vietnamese social scientists, and consequently low scientific output. Also low in robustness, the network shows the potential of an intellectual elite composed of well-connected, productive, and socially significant individuals.

  5. Networking 2.0: Expanding your collaboration circles through the Interagency Arctic Research Policy Committee (IARPC)

    Science.gov (United States)

    Rohde, J. A.; Bowden, S.; Stephenson, S. N.; Starkweather, S.

    2015-12-01

    The Interagency Arctic Research Policy Committee (IARPC) envisions a prosperous, sustainable, and healthy Arctic understood through innovative and collaborative research coordinated among Federal agencies and domestic and international partners. IARPC's approach is to harnesses the talent of the scientific and stakeholder community through Federally-run but broadly open collaboration teams, and an innovative website that expands the frontiers of collaborative research. The Obama Administration released the five-year Arctic Research Plan: FY2013-2017 in February 2013. The Plan focuses on advancing knowledge and sustainability of the Arctic by improving collaboration in seven priority research areas: sea ice and marine ecosystems, terrestrial ice and ecosystems, atmospheric studies, observing systems, regional climate models, human health studies, and adaptation tools for communities. From these seven research areas, 12 collaboration teams were formed to respond to the 145 milestones laid out in the Plan. The collaboration teams are charged with enhancing inter-institutional and interdisciplinary implementation of scientific research on local, regional, and circumpolar environmental and societal issues in the Arctic. The collaboration teams are co-chaired by Federal program managers, and, in some cases, external partners and are open to research and stakeholder communities. They meet on a regular basis by web- or teleconference to inform one another about ongoing and planned programs and new research results, as well as to inventory existing programs, identify gaps in knowledge and research, and address and implement the Plan's milestones. In-between meetings, team members communicate via our innovative, user-driven, collaboration website. Members share information about their research activities by posting updates, uploading documents, and including events on our calendar, and entering into dialogue about their research activities. Conversations taking place on the

  6. Global scientific research commons under the Nagoya Protocol: Towards a collaborative economy model for the sharing of basic research assets.

    Science.gov (United States)

    Dedeurwaerdere, Tom; Melindi-Ghidi, Paolo; Broggiato, Arianna

    2016-01-01

    This paper aims to get a better understanding of the motivational and transaction cost features of building global scientific research commons, with a view to contributing to the debate on the design of appropriate policy measures under the recently adopted Nagoya Protocol. For this purpose, the paper analyses the results of a world-wide survey of managers and users of microbial culture collections, which focused on the role of social and internalized motivations, organizational networks and external incentives in promoting the public availability of upstream research assets. Overall, the study confirms the hypotheses of the social production model of information and shareable goods, but it also shows the need to complete this model. For the sharing of materials, the underlying collaborative economy in excess capacity plays a key role in addition to the social production, while for data, competitive pressures amongst scientists tend to play a bigger role.

  7. Collaborative Tools for e-Participation across Networks: The Comuno Networking Site for Public Governance and Services

    Directory of Open Access Journals (Sweden)

    Michael Kaschesky

    2010-04-01

    Full Text Available This paper presents collaborative tools for public participation across multiple networking sites. The tools are part of the Comuno networking site for public governance and services, which is particularly targeted at the public sector (currently in alpha testing at http://comuno.org. The Broadcast tool allows cross-posting content from Comuno to a wide variety of other networking sites, such as Facebook or Twitter. The UserFeed and TopicFeed tools build RSS feeds from content published by a specific user or under a specific topic. The LifeStream tool gathers a user’s activities across multiple networking sites in the private account section at Comuno. These tools and related aspects of the Comuno networking site are discussed and presented in the context of deliberation and opinion-forming in a Swiss bilingual city.

  8. Electronic Collaboration Logbook

    International Nuclear Information System (INIS)

    Gysin, Suzanne; Mandrichenko, Igor; Podstavkov, Vladimir; Vittone, Margherita

    2012-01-01

    In HEP, scientific research is performed by large collaborations of organizations and individuals. The logbook of a scientific collaboration is an important part of the collaboration record. Often it contains experimental data. At Fermi National Accelerator Laboratory (FNAL), we developed an Electronic Collaboration Logbook (ECL) application, which is used by about 20 different collaborations, experiments and groups at FNAL. The ECL is the latest iteration of the project formerly known as the Control Room Logbook (CRL). We have been working on mobile (IOS and Android) clients for the ECL. We will present the history, current status and future plans of the project, as well as design, implementation and support solutions made by the project.

  9. The Effect of Social Networks on the Scientific Research Relations, Prospectiveness, Creativity and satisfaction of Scientific Position

    Directory of Open Access Journals (Sweden)

    Alireza Ebrahimpour

    2016-07-01

    Full Text Available Considering the high cultured efficiency of the social networks effective in purposeful directing the life of the users’ lifestyle by emergence and significant development of the social networks. Major changes have taken place in informatics process. The social networks can play role in the production and development of the science and the science as a managed educational program be used in the educational centers. This research investigates the effects of the social networks on the educational relationship among the students and universities. This cross sectional study was performed on 1000 students at 7 medical universities of Iran in 2015. The data collection tool was questionnaire comprised three sections with approved validity. The durability of the α-cronbach coefficient for second part of the questionnaire was 80% and of the third section on the questions with the Likert Criteria was 75%. The obtained data were analyzed by descriptive statistic method of ANOVA, Tukey and X2 using SPSS-19. In this study 940 subjects were under study, of them 85% had the daily use of social networks. Telegram had the highest usage among the users, 52% preferred the image in exchange of view. We found that 85% believed that social networks have effective role on the social relationships. Also 69% of the study subjects believe that the effects of the networks in learning insignificant materials are high. Referring to the obtained data of the present study, it is proposed that the universities use the social networks officially and managed. Establish groups with definite context and help in improvement of the scientific relation level, to be effective in the prospectiveness, creation and consent of the individuals from their scientific situation, in direct procedure.

  10. New findings from the bipolar collaborative network: Clinical implications for therapeutics

    NARCIS (Netherlands)

    Post, R.M.; Altshuler, L.L.; Frye, M.A.; Suppes, T.; McElroy, S.; Keck, J.; Leverich, G.S.; Kupka, R.; Nolen, W.A.; Grunze, H.

    2006-01-01

    In this article, we highlight recent Bipolar Collaborative Network data. We found that childhood-onset bipolar illness is common, often goes untreated for more than a decade, and carries a poor prognosis. During randomized studies of adjunctive medications in depression: 1) Venlafaxine showed higher

  11. Cooperation in health: mapping collaborative networks on the web.

    Science.gov (United States)

    Lang, Pamela Barreto; Gouveia, Fábio Castro; Leta, Jacqueline

    2013-01-01

    To map and investigate the relationships established on the web between leading health-research institutions around the world. Sample selection was based on the World Health Organization (WHO) Collaborating Centres (CCs). Data on the 768 active CCs in 89 countries were retrieved from the WHO's database. The final sample consisted of 190 institutions devoted to health sciences in 42 countries. Data on each institution's website were retrieved using webometric techniques (interlinking), and an asymmetric matrix was generated for social network analysis. The results showed that American and European institutions, such as the Centers for Disease Control and Prevention (CDC), the National Institutes of Health (NIH) and the National Institute of Health and Medical Research (INSERM), are the most highly connected on the web and have a higher capacity to attract hyperlinks. The Karolinska Institute (KI-SE) in Sweden is well placed as an articulation point between several integrants of the network and the component's core but lacks general recognition on the web by hyperlinks. Regarding the north-south divide, Mexico and Brazil appear to be key southern players on the web. The results showed that the hyperlinks exchanged between northern and southern countries present an abysmal gap: 99.49% of the hyperlinks provided by the North are directed toward the North itself, in contrast to 0.51% that are directed toward the South. Regarding the South, its institutions are more connected to its northern partners, with 98.46% of its hyperlinks directed toward the North, and mainly toward the United States, compared with 1.54% toward southern neighbors. It is advisable to strengthen integration policies on the web and to increase web networking through hyperlink exchange. In this way, the web could actually reflect international cooperation in health and help to legitimize and enhance the visibility of the many existing south-south collaboration networks.

  12. Cooperation in health: mapping collaborative networks on the web.

    Directory of Open Access Journals (Sweden)

    Pamela Barreto Lang

    Full Text Available OBJECTIVE: To map and investigate the relationships established on the web between leading health-research institutions around the world. METHODS: Sample selection was based on the World Health Organization (WHO Collaborating Centres (CCs. Data on the 768 active CCs in 89 countries were retrieved from the WHO's database. The final sample consisted of 190 institutions devoted to health sciences in 42 countries. Data on each institution's website were retrieved using webometric techniques (interlinking, and an asymmetric matrix was generated for social network analysis. FINDINGS: The results showed that American and European institutions, such as the Centers for Disease Control and Prevention (CDC, the National Institutes of Health (NIH and the National Institute of Health and Medical Research (INSERM, are the most highly connected on the web and have a higher capacity to attract hyperlinks. The Karolinska Institute (KI-SE in Sweden is well placed as an articulation point between several integrants of the network and the component's core but lacks general recognition on the web by hyperlinks. Regarding the north-south divide, Mexico and Brazil appear to be key southern players on the web. The results showed that the hyperlinks exchanged between northern and southern countries present an abysmal gap: 99.49% of the hyperlinks provided by the North are directed toward the North itself, in contrast to 0.51% that are directed toward the South. Regarding the South, its institutions are more connected to its northern partners, with 98.46% of its hyperlinks directed toward the North, and mainly toward the United States, compared with 1.54% toward southern neighbors. CONCLUSION: It is advisable to strengthen integration policies on the web and to increase web networking through hyperlink exchange. In this way, the web could actually reflect international cooperation in health and help to legitimize and enhance the visibility of the many existing south

  13. Mendeley: Teaching Scholarly Communication and Collaboration through Social Networking

    OpenAIRE

    MacMillan, Don

    2012-01-01

    Teaching Mendeley achieves the impossible – it gets users excited to learn about organizing and citing their research articles. However, introducing Mendeley to students and faculty goes well beyond assisting them with organizing their references. Students are particularly apt to see the benefits that its social networking features offer, including promoting collaboration, identifying key resources, and facilitating group work. There are benefits for librarians too - the information it provid...

  14. RICE: A Reliable and Efficient Remote Instrumentation Collaboration Environment

    Directory of Open Access Journals (Sweden)

    Prasad Calyam

    2008-01-01

    Full Text Available Remote access of scientific instruments over the Internet (i.e., remote instrumentation demand high-resolution (2D and 3D video image transfers with simultaneous real-time mouse and keyboard controls. Consequently, user quality of experience (QoE is highly sensitive to network bottlenecks. Further, improper user control while reacting to impaired video caused due to network bottlenecks could result in physical damages to the expensive instrument equipment. Hence, it is vital to understand the interplay between (a user keyboard/mouse actions toward the instrument, and (b corresponding network reactions for transfer of instrument video images toward the user. In this paper, we first present an analytical model for characterizing user and network interplay during remote instrumentation sessions in terms of demand and supply interplay principles of traditional economics. Next, we describe the trends of the model parameters using subjective and objective measurements obtained from QoE experiments. Thereafter, we describe our Remote Instrumentation Collaboration Environment (RICE software that leverages our experiences from the user and network interplay studies, and has functionalities that facilitate reliable and efficient remote instrumentation such as (a network health awareness to detect network bottleneck periods, and (b collaboration tools for multiple participants to interact during research and training sessions.

  15. Culture, Role and Group Work: A Social Network Analysis Perspective on an Online Collaborative Course

    Science.gov (United States)

    Stepanyan, Karen; Mather, Richard; Dalrymple, Roger

    2014-01-01

    This paper discusses the patterns of network dynamics within a multicultural online collaborative learning environment. It analyses the interaction of participants (both students and facilitators) within a discussion board that was established as part of a 3-month online collaborative course. The study employs longitudinal probabilistic social…

  16. Collaboration and decision making tools for mobile groups

    International Nuclear Information System (INIS)

    Abrahamyan, S.; Balyan, S.; Degtyarev, A.; Ter-Minasyan, H.

    2017-01-01

    Nowadays the use of distributed collaboration tools is widespread in many areas of people activity. But lack of mobility and certain equipment dependence create difficulties and decelerate development and integration of such technologies. Also, mobile technologies allow individuals to interact with each other without need of traditional office spaces and regardless of location. Hence, realization of special infrastructures on mobile platforms with the help of ad hoc wireless local networks could eliminate hardware attachment and be also useful in terms of scientific approach. Solutions from basic internet messengers to complex software for online collaboration equipment in large-scale workgroups are implementations of tools based on mobile infrastructures. Despite growth of mobile infrastructures, applied distributed solutions in group decision-making and e-collaboration are not common. In this article we propose software complex for real-time collaboration and decision-making based on mobile devices, describe its architecture and evaluate performance.

  17. Collaboration and decision making tools for mobile groups

    Science.gov (United States)

    Abrahamyan, Suren; Balyan, Serob; Ter-Minasyan, Harutyun; Degtyarev, Alexander

    2017-12-01

    Nowadays the use of distributed collaboration tools is widespread in many areas of people activity. But lack of mobility and certain equipment-dependency creates difficulties and decelerates development and integration of such technologies. Also mobile technologies allow individuals to interact with each other without need of traditional office spaces and regardless of location. Hence, realization of special infrastructures on mobile platforms with help of ad-hoc wireless local networks could eliminate hardware-attachment and be useful also in terms of scientific approach. Solutions from basic internet-messengers to complex software for online collaboration equipment in large-scale workgroups are implementations of tools based on mobile infrastructures. Despite growth of mobile infrastructures, applied distributed solutions in group decisionmaking and e-collaboration are not common. In this article we propose software complex for real-time collaboration and decision-making based on mobile devices, describe its architecture and evaluate performance.

  18. Collaboration patterns, external shocks and uncertainty: Swiss nuclear energy politics before and after Fukushima

    International Nuclear Information System (INIS)

    Fischer, Manuel

    2015-01-01

    Energy shocks like the Fukushima accident can have important political consequences. This article examines their impact on collaboration patterns between collective actors in policy processes. It argues that external shocks create both behavioral uncertainty, meaning that actors do not know about other actors’ preferences, and policy uncertainty on the choice and consequences of policy instruments. The context of uncertainty interacts with classical drivers of actor collaboration in policy processes. The analysis is based on a dataset comprising interview and survey data on political actors in two subsequent policy processes in Switzerland and Exponential Random Graph Models for network data. Results first show that under uncertainty, collaboration of actors in policy processes is less based on similar preferences than in stable contexts, but trust and knowledge of other actors are more important. Second, under uncertainty, scientific actors are not preferred collaboration partners. - Highlights: • Energy shocks create uncertainty in policy processes. • Behavioral and policy uncertainty have influence actors’ collaboration patterns. • Under uncertainty, collaboration is based on trust rather than on similar preferences. • Under uncertainty, scientific actors are not preferred collaboration partners, but are active themselves.

  19. A Social Network Analysis of Teaching and Research Collaboration in a Teachers' Virtual Learning Community

    Science.gov (United States)

    Lin, Xiaofan; Hu, Xiaoyong; Hu, Qintai; Liu, Zhichun

    2016-01-01

    Analysing the structure of a social network can help us understand the key factors influencing interaction and collaboration in a virtual learning community (VLC). Here, we describe the mechanisms used in social network analysis (SNA) to analyse the social network structure of a VLC for teachers and discuss the relationship between face-to-face…

  20. ICoNOs MM: The IT-enabled Collaborative Networked Organizations Maturity Model

    NARCIS (Netherlands)

    Santana Tapia, R.G.

    2009-01-01

    The focus of this paper is to introduce a comprehensive model for assessing and improving maturity of business-IT alignment (B-ITa) in collaborative networked organizations (CNOs): the ICoNOs MM. This two dimensional maturity model (MM) addresses five levels of maturity as well as four domains to

  1. Business Collaboration in Food Networks: Incremental Solution Development

    Directory of Open Access Journals (Sweden)

    Harald Sundmaeker

    2014-10-01

    Full Text Available The paper will present an approach for an incremental solution development that is based on the usage of the currently developed Internet based FIspace business collaboration platform. Key element is the clear segmentation of infrastructures that are either internal or external to the collaborating business entity in the food network. On the one hand, the approach enables to differentiate between specific centralised as well as decentralised ways for data storage and hosting of IT based functionalities. The selection of specific dataexchange protocols and data models is facilitated. On the other hand, the supported solution design and subsequent development is focusing on reusable “software Apps” that can be used on their own and are incorporating a clear added value for the business actors. It will be outlined on how to push the development and introduction of Apps that do not require basic changes of the existing infrastructure. The paper will present an example that is based on the development of a set of Apps for the exchange of product quality related information in food networks, specifically addressing fresh fruits and vegetables. It combines workflow support for data exchange from farm to retail as well as to provide quality feedback information to facilitate the business process improvement. Finally, the latest status of theFIspace platform development will be outlined. Key features and potential ways for real users and software developers in using the FIspace platform that is initiated by science and industry will be outlined.

  2. Mapping industrial networks as an approach to identify inter-organisational collaborative potential in new product development

    DEFF Research Database (Denmark)

    Parraguez, Pedro; Maier, Anja

    2012-01-01

    . Consequently, identifying and selecting potential partners to establish collaboration agreements can be a key activity in the new product development process. This paper explores the implications of mapping industrial networks with the purpose of identifying inter-organisational collaborative potential...

  3. Dengue research networks: building evidence for policy and planning in Brazil.

    Science.gov (United States)

    de Paula Fonseca E Fonseca, Bruna; Zicker, Fabio

    2016-11-08

    The analysis of scientific networks has been applied in health research to map and measure relationships between researchers and institutions, describing collaboration structures, individual roles, and research outputs, and helping the identification of knowledge gaps and cooperation opportunities. Driven by dengue continued expansion in Brazil, we explore the contribution, dynamics and consolidation of dengue scientific networks that could ultimately inform the prioritisation of research, financial investments and health policy. Social network analysis (SNA) was used to produce a 20-year (1995-2014) retrospective longitudinal evaluation of dengue research networks within Brazil and with its partners abroad, with special interest in describing institutional collaboration and their research outputs. The analysis of institutional co-authorship showed a significant expansion of collaboration over the years, increased international involvement, and ensured a shift from public health research toward vector control and basic biomedical research, probably as a reflection of the expansion of transmission, high burden and increasing research funds from the Brazilian government. The analysis identified leading national organisations that maintained the research network connectivity, facilitated knowledge exchange and reduced network vulnerability. SNA proved to be a valuable tool that, along with other indicators, can strengthen a knowledge platform to inform future policy, planning and funding decisions. The paper provides relevant information to policy and planning for dengue research as it reveals: (1) the effectiveness of the research network in knowledge generation, sharing and diffusion; (2) the near-absence of collaboration with the private sector; and (3) the key central organisations that can support strategic decisions on investments, development and implementation of innovations. In addition, the increase in research activities and collaboration has not yet

  4. Assessing Interprofessional education in a student-faculty collaborative practice network.

    Science.gov (United States)

    Young, Grace J; Cohen, Marya J; Blanchfield, Bonnie B; Jones, Meissa M; Reidy, Patricia A; Weinstein, Amy R

    2017-07-01

    Although interprofessional relationships are ubiquitous in clinical practice, undergraduate medical students have limited opportunities to develop these relationships in the clinical setting. A few student-faculty collaborative practice networks (SFCPNs) have been working to address this issue, but limited data exist examining the nature and extent of these practices. A systematic survey at a Harvard-affiliated SFCPN is utilised to evaluate the quantity and quality of interprofessional interactions, isolate improvements, and identify challenges in undergraduate interprofessional education (IPE). Our data corroborate previous findings in which interprofessional clinical learning was shown to have positive effects on student development and align with all four domains of Interprofessional Education Collaborative core competencies, including interprofessional ethics and values, roles and responsibilities, interprofessional communication, and teams and teamwork. These results highlight the unique opportunity and growing necessity of integrating IPE in SFCPNs to endorse the development of collaborative and professional competencies in clinical modalities of patient care.

  5. Collaborative-Large scale Engineering Assessment Networks for Environmental Research: The Overview

    Science.gov (United States)

    Moo-Young, H.

    2004-05-01

    A networked infrastructure for engineering solutions and policy alternatives is necessary to assess, manage, and protect complex, anthropogenic ally stressed environmental resources effectively. Reductionist and discrete disciplinary methodologies are no longer adequate to evaluate and model complex environmental systems and anthropogenic stresses. While the reductonist approach provides important information regarding individual mechanisms, it cannot provide complete information about how multiple processes are related. Therefore, it is not possible to make accurate predictions about system responses to engineering interventions and the effectiveness of policy options. For example, experts cannot agree on best management strategies for contaminated sediments in riverine and estuarine systems. This is due, in part to the fact that existing models do not accurately capture integrated system dynamics. In addition, infrastructure is not available for investigators to exchange and archive data, to collaborate on new investigative methods, and to synthesize these results to develop engineering solutions and policy alternatives. Our vision for the future is to create a network comprising field facilities and a collaboration of engineers, scientists, policy makers, and community groups. This will allow integration across disciplines, across different temporal and spatial scales, surface and subsurface geographies, and air sheds and watersheds. Benefits include fast response to changes in system health, real-time decision making, and continuous data collection that can be used to anticipate future problems, and to develop sound engineering solutions and management decisions. CLEANER encompasses four general aspects: 1) A Network of environmental field facilities instrumented for the acquisition and analysis of environmental data; 2) A Virtual Repository of Data and information technology for engineering modeling, analysis and visualization of data, i.e. an environmental

  6. Nuclear Physics Science Network Requirements Workshop, May 2008 - Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Tierney, Ed., Brian L; Dart, Ed., Eli; Carlson, Rich; Dattoria, Vince; Ernest, Michael; Hitchcock, Daniel; Johnston, William; Kowalski, Andy; Lauret, Jerome; Maguire, Charles; Olson, Douglas; Purschke, Martin; Rai, Gulshan; Watson, Chip; Vale, Carla

    2008-11-10

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States of America. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In May 2008, ESnet and the Nuclear Physics (NP) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the NP Program Office. Most of the key DOE sites for NP related work will require significant increases in network bandwidth in the 5 year time frame. This includes roughly 40 Gbps for BNL, and 20 Gbps for NERSC. Total transatlantic requirements are on the order of 40 Gbps, and transpacific requirements are on the order of 30 Gbps. Other key sites are Vanderbilt University and MIT, which will need on the order of 20 Gbps bandwidth to support data transfers for the CMS Heavy Ion program. In addition to bandwidth requirements, the workshop emphasized several points in regard to science process and collaboration. One key point is the heavy reliance on Grid tools and infrastructure (both PKI and tools such as GridFTP) by the NP community. The reliance on Grid software is expected to increase in the future. Therefore, continued development and support of Grid software is very important to the NP science community. Another key finding is that scientific productivity is greatly enhanced by easy researcher-local access to instrument data. This is driving the creation of distributed repositories for instrument data at collaborating institutions, along with a corresponding increase in demand for network-based data transfers and the tools

  7. Innovation as a distributed, collaborative process of knowledge generation: open, networked innovation

    NARCIS (Netherlands)

    Sloep, Peter

    2009-01-01

    Sloep, P. B. (2009). Innovation as a distributed, collaborative process of knowledge generation: open, networked innovation. In V. Hornung-Prähauser & M. Luckmann (Eds.), Kreativität und Innovationskompetenz im digitalen Netz - Creativity and Innovation Competencies in the Web, Sammlung von

  8. Design and implementation of Ad-Hoc collaborative proxying scheme for reducing network energy waste

    Directory of Open Access Journals (Sweden)

    Rafiullah Khan

    2017-05-01

    Full Text Available Network devices are equipped with low power states but they are rarely activated due to their inability of maintaining network connectivity. Recently, Network Connectivity Proxy (NCP concept has been proposed in literature as an effective mechanism to exploit full potential of low power features on network devices by impersonating their virtual presence. However, the NCP concept faces several open issues and challenges especially related to proxying of TCP connections and majority of daily used proprietary closed-source applications. This paper presents a new approach for reducing network energy waste through intelligent collaboration among daily used devices (e.g., desktop computers, laptops, tablets, smartphones, etc. It guarantees to run applications on only and only one user device that is under active use at that specific moment. To reduce energy waste and allow idle devices to sleep, our approach also takes benefit from a light-weight home gateway proxy with very basic practically realizable functionalities. The proposed system not just reduces energy waste of fixed devices but also enables mobile devices to significantly improve their battery life. Our developed software prototypes allow devices to autonomously and seamlessly collaborate with each other without requiring any configuration or user input. Further, this paper also presents the basic performance evaluation of developed prototypes in real networking environments.

  9. Investigating the influence of special on-off attacks on challenge-based collaborative intrusion detection networks

    DEFF Research Database (Denmark)

    Li, Wenjuan; Meng, Weizhi; Kwok, Lam For

    2018-01-01

    to exchange data with each other. Insider attacks are a great threat for such types of collaborative networks, where an attacker has the authorized access within the network. In literature, a challenge-based trust mechanism is effective at identifying malicious nodes by sending challenges. However...

  10. EPA Collaboration with Israel

    Science.gov (United States)

    The United States and Israel focus on scientific and technical collaboration to protect the environment, by exchanging scientific and technical information, arranging visits of scientific personnel, cooperating in scientific symposia and workshops, etc.

  11. Burning through organizational boundaries? Examining inter-organizational communication networks in policy-mandated collaborative bushfire planning groups

    Science.gov (United States)

    Rachel F. Brummel; Kristen C. Nelson; Pamela J. Jakes

    2012-01-01

    Collaboration can enhance cooperation across geographic and organizational scales, effectively "burning through" those boundaries. Using structured social network analysis (SNA) and qualitative in-depth interviews, this study examined three collaborative bushfire planning groups in New South Wales, Australia and asked: How does participation in policy-...

  12. Distributed collaborative processing in wireless sensor networks with application to target localization and beamforming

    OpenAIRE

    Béjar Haro, Benjamín

    2013-01-01

    Abstract The proliferation of wireless sensor networks and the variety of envisioned applications associated with them has motivated the development of distributed algorithms for collaborative processing over networked systems. One of the applications that has attracted the attention of the researchers is that of target localization where the nodes of the network try to estimate the position of an unknown target that lies within its coverage area. Particularly challenging is the problem of es...

  13. Bridging the Gap in Port Security; Network Centric Theory Applied to Public/Private Collaboration

    National Research Council Canada - National Science Library

    Wright, Candice L

    2007-01-01

    ...." Admiral Thad Allen, 2007 The application of Network Centric Warfare theory enables all port stakeholders to better prepare for a disaster through increased information sharing and collaboration...

  14. Assessing the value of collaboration in tourism networks: A case study of Elkhart County, Indiana

    DEFF Research Database (Denmark)

    Zach, Florian; Racherla, Pradeep

    2011-01-01

    This study explores the determinants of perceived value derived from interorganizational collaborations in a tourism destination. The authors propose a theoretical model of perceived value drawing upon the rich stream of literature related to strategic collaborations and interorganizational...... networks. The model was tested using a cross section of tourism organizations operating within Elkhart County, Indiana. The results indicate that a significant positive value of collaboration is achieved from dyadic relationships. Importantly, the results suggest that the positive effect achieved from one......-to-one partnerships decreases once an organization collaborates with several other organizations. The article discusses various implications for managing strategic tourism partnerships....

  15. CLAM - CoLlAborative eMbedded networks for submarine surveillance: An overview

    NARCIS (Netherlands)

    Meratnia, Nirvana; Havinga, Paul J.M.; Casari, Paolo; Petrioli, Chiara; Grythe, Knut; Husoy, Thor; Zorzi, Michele

    2011-01-01

    This paper provides an overview of the CLAM project, which aims at developing a collaborative embedded monitoring and control platform for submarine surveillance by combining cutting edge acoustic vector sensor technology and 1D, 2D, 3D sensor arrays, underwater wireless sensor networks protocol

  16. Collaborative Manufacturing Management in Networked Supply Chains

    Science.gov (United States)

    Pouly, Michel; Naciri, Souleiman; Berthold, Sébastien

    ERP systems provide information management and analysis to industrial companies and support their planning activities. They are currently mostly based on theoretical values (averages) of parameters and not on the actual, real shop floor data, leading to disturbance of the planning algorithms. On the other hand, sharing data between manufacturers, suppliers and customers becomes very important to ensure reactivity towards markets variability. This paper proposes software solutions to address these requirements and methods to automatically capture the necessary corresponding shop floor information. In order to share data produced by different legacy systems along the collaborative networked supply chain, we propose to use the Generic Product Model developed by Hitachi to extract, translate and store heterogeneous ERP data.

  17. Instrumentation for Scientific Computing in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics.

    Science.gov (United States)

    1987-10-01

    include Security Classification) Instrumentation for scientific computing in neural networks, information science, artificial intelligence, and...instrumentation grant to purchase equipment for support of research in neural networks, information science, artificail intellignece , and applied mathematics...in Neural Networks, Information Science, Artificial Intelligence, and Applied Mathematics Contract AFOSR 86-0282 Principal Investigator: Stephen

  18. REEXPORT OF SCIENTIFIC COMPETENCIES IN THE LIGHT OF THE RE-CONSTRUCTION OF A NETWORK OF SCIENTIFIC-RESEARCH BODIES

    Directory of Open Access Journals (Sweden)

    О. A. Yeremchenko

    2016-01-01

    Full Text Available One of the primary challengesRussiais currently facing is the need for diversification of the Russian economy and its increase in the share of manufacturing and exported scientific-driven work products. In this light, improving the effectiveness of the scientific-technological complex of the country is becoming increasingly important. The article considers two scalable, developed in parallel, projects for increasing effectiveness of the scientificresearch sector: restructurization of the scientific organizations network and the project for bringing back home 15 thousand Russian scientists reverse immigration. A conclusion is made about the adequacy of a refusal from a large-scale change in the personnel of scientists in circumstances of when the budget for research and development and the number of scientific-research organizations is cut. It is proposed to create comfortable conditions for scientific search for all parties involved in the process of new knowledge creation, both for the scientists returning toRussiaand those that remain working in the country. 

  19. International Collaboration Patterns and Effecting Factors of Emerging Technologies.

    Directory of Open Access Journals (Sweden)

    Xu Bai

    Full Text Available With the globalization of the world economy, international innovation collaboration has taken place all over the world. This study selects three emerging technologies (3D printing, big data and carbon nanotubes and graphene technology among 20 countries as the research objects, using three patent-based indicators and network relationship analysis to reflect international collaboration patterns. Then we integrate empirical analyses to show effecting factors of international collaboration degrees by using panel data. The results indicate that while 3D printing technology is associated with a "balanced collaboration" mode, big data technology is more accurately described by a radial pattern, centered on the United States, and carbon nanotubes and graphene technology exhibits "small-world" characteristics in this respect. It also shows that the factors GDP per capita (GPC, R&D expenditure (RDE and the export of global trade value (ETV negatively affect the level of international collaboration. It could be useful for China and other developing countries to make international scientific and technological collaboration strategies and policies in the future.

  20. Monitoring the US ATLAS Network Infrastructure with perfSONAR-PS

    CERN Document Server

    McKee, S; The ATLAS collaboration; Laurens, P; Severini, H; Wlodek, T; Wolff, S; Zurawski, J

    2012-01-01

    Global scientific collaborations, such as ATLAS, continue to push the network requirements envelope. Data movement in this collaboration is routinely including the regular exchange of petabytes of datasets between the collection and analysis facilities in the coming years. These requirements place a high emphasis on networks functioning at peak efficiency and availability; the lack thereof could mean critical delays in the overall scientific progress of distributed data-intensive experiments like ATLAS. Network operations staff routinely must deal with problems deep in the infrastructure; this may be as benign as replacing a failing piece of equipment, or as complex as dealing with a multidomain path that is experiencing data loss. In either case, it is crucial that effective monitoring and performance analysis tools are available to ease the burden of management. We will report on our experiences deploying and using the perfSONAR-PS Performance Toolkit[8] at ATLAS sites in the United States. This software cr...

  1. How social network analysis can be used to monitor online collaborative learning and guide an informed intervention.

    Science.gov (United States)

    Saqr, Mohammed; Fors, Uno; Tedre, Matti; Nouri, Jalal

    2018-01-01

    To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in studying students' interactions in online collaboration. However, research in education has only focused on the theoretical potential of using SNA, not on the actual benefits they achieved. This study investigated how social network analysis can be used to monitor online collaborative learning, find aspects in need of improvement, guide an informed intervention, and assess the efficacy of intervention using an experimental, observational repeated-measurement design in three courses over a full-term duration. Using a combination of SNA-based visual and quantitative analysis, we monitored three SNA constructs for each participant: the level of interactivity, the role, and position in information exchange, and the role played by each participant in the collaboration. On the group level, we monitored interactivity and group cohesion indicators. Our monitoring uncovered a non-collaborative teacher-centered pattern of interactions in the three studied courses as well as very few interactions among students, limited information exchange or negotiation, and very limited student networks dominated by the teacher. An intervention based on SNA-generated insights was designed. The intervention was structured into five actions: increasing awareness, promoting collaboration, improving the content, preparing teachers, and finally practicing with feedback. Evaluation of the intervention revealed that it has significantly enhanced student-student interactions and teacher-student interactions, as well as produced a collaborative pattern of interactions among most students and teachers. Since efficient and communicative activities are essential prerequisites for successful content

  2. Linking behavior in the physics education research coauthorship network

    Science.gov (United States)

    Anderson, Katharine A.; Crespi, Matthew; Sayre, Eleanor C.

    2017-06-01

    There is considerable long-term interest in understanding the dynamics of collaboration networks, and how these networks form and evolve over time. Most of the work done on the dynamics of social networks focuses on well-established communities. Work examining emerging social networks is rarer, simply because data are difficult to obtain in real time. In this paper, we use thirty years of data from an emerging scientific community to look at that crucial early stage in the development of a social network. We show that when the field was very young, islands of individual researchers labored in relative isolation, and the coauthorship network was disconnected. Thirty years later, rather than a cluster of individuals, we find a true collaborative community, bound together by a robust collaboration network. However, this change did not take place gradually—the network remained a loose assortment of isolated individuals until the mid 2000s, when those smaller parts suddenly knit themselves together into a single whole. In the rest of this paper, we consider the role of three factors in these observed structural changes: growth, changes in social norms, and the introduction of institutions such as field-specific conferences and journals. We have data from the very earliest years of the field, a period which includes the introduction of two different institutions: the first field-specific conference, and the first field-specific journals. We also identify two relevant behavioral shifts: a discrete increase in coauthorship coincident with the first conference, and a shift among established authors away from collaborating with outsiders, towards collaborating with each other. The interaction of these factors gives us insight into the formation of collaboration networks more broadly.

  3. Exploring Vietnamese co-authorship patterns in social sciences with basic network measures of 2008-2017 Scopus data [version 1; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Tung Manh Ho

    2017-08-01

    Full Text Available Background: Collaboration is a common occurrence among Vietnamese scientists; however, insights into Vietnamese scientific collaborations have been scarce. On the other hand, the application of social network analysis in studying science collaboration has gained much attention all over the world. The technique could be employed to explore Vietnam’s scientific community. Methods: This paper employs network theory to explore characteristics of a network of 412 Vietnamese social scientists whose papers can be found indexed in the Scopus database. Two basic network measures, density and clustering coefficient, were taken, and the entire network was studied in comparison with two of its largest components. Results: The networks connections are very sparse, with a density of only 0.47%, while the clustering coefficient is very high (58.64%. This suggests an inefficient dissemination of information, knowledge, and expertise in the network. Secondly, the disparity in levels of connection among individuals indicates that the network would easily fall apart if a few highly-connected nodes are removed. Finally, the two largest components of the network were found to differ from the entire networks in terms of measures and were both led by the most productive and well-connected researchers. Conclusions: High clustering and low density seems to be tied to inefficient dissemination of expertise among Vietnamese social scientists, and consequently low scientific output. Also low in robustness, the network shows the potential of an intellectual elite composed of well-connected, productive, and socially significant individuals.

  4. XNsim: Internet-Enabled Collaborative Distributed Simulation via an Extensible Network

    Science.gov (United States)

    Novotny, John; Karpov, Igor; Zhang, Chendi; Bedrossian, Nazareth S.

    2007-01-01

    In this paper, the XNsim approach to achieve Internet-enabled, dynamically scalable collaborative distributed simulation capabilities is presented. With this approach, a complete simulation can be assembled from shared component subsystems written in different formats, that run on different computing platforms, with different sampling rates, in different geographic locations, and over singlelmultiple networks. The subsystems interact securely with each other via the Internet. Furthermore, the simulation topology can be dynamically modified. The distributed simulation uses a combination of hub-and-spoke and peer-topeer network topology. A proof-of-concept demonstrator is also presented. The XNsim demonstrator can be accessed at http://www.jsc.draver.corn/xn that hosts various examples of Internet enabled simulations.

  5. Building a Foundation for Knowledge Co-Creation in Collaborative Water Governance: Dimensions of Stakeholder Networks Facilitated through Bridging Organizations

    Directory of Open Access Journals (Sweden)

    Wietske Medema

    2017-01-01

    Full Text Available The sustainable governance of water resources relies on processes of multi-stakeholder collaborations and interactions that facilitate the sharing and integration of diverse sources and types of knowledge. In this context, it is essential to fully recognize the importance of fostering and enhancing critical connections within and between networks of relationships between different government and non-government agencies, as well as the dynamics that are in support of the development of new knowledge and practices. In Quebec, a network of watershed organizations (WOs has been put in place to serve as bridging organizations (BOs for stakeholder groups in their watershed territories. Using the WOs as a case study, this research aims to contribute to a greater understanding of how stakeholder groups can be effectively connected to support knowledge co-creation through networked relationships facilitated by BOs. In line with this overall research aim, the following research objectives are proposed: (1 to assess the quality of the knowledge that is developed and shared through the WOs and their stakeholder networks; (2 to determine the characteristics of stakeholders participating in the WOs’ networks that either hinder or support collaborations and knowledge co-creation; (3 to describe the collaborative processes and mechanisms through which the WOs facilitate stakeholder interactions and knowledge co-creation; and (4 to assess the quality of the relationships and interactions between stakeholders participating in the WOs’ collaborative networks. A comprehensive literature review is provided of collaborative network dimensions that are in support of knowledge co-creation that forms the foundation of a research framework to assess knowledge co-creation processes that are facilitated through BOs and their collaborative networks. Documented experiences have been gathered through face-to-face semi-structured interviews, as well as a Quebec-wide survey

  6. Conceptualizing and Advancing Research Networking Systems.

    Science.gov (United States)

    Schleyer, Titus; Butler, Brian S; Song, Mei; Spallek, Heiko

    2012-03-01

    Science in general, and biomedical research in particular, is becoming more collaborative. As a result, collaboration with the right individuals, teams, and institutions is increasingly crucial for scientific progress. We propose Research Networking Systems (RNS) as a new type of system designed to help scientists identify and choose collaborators, and suggest a corresponding research agenda. The research agenda covers four areas: foundations, presentation, architecture , and evaluation . Foundations includes project-, institution- and discipline-specific motivational factors; the role of social networks; and impression formation based on information beyond expertise and interests. Presentation addresses representing expertise in a comprehensive and up-to-date manner; the role of controlled vocabularies and folksonomies; the tension between seekers' need for comprehensive information and potential collaborators' desire to control how they are seen by others; and the need to support serendipitous discovery of collaborative opportunities. Architecture considers aggregation and synthesis of information from multiple sources, social system interoperability, and integration with the user's primary work context. Lastly, evaluation focuses on assessment of collaboration decisions, measurement of user-specific costs and benefits, and how the large-scale impact of RNS could be evaluated with longitudinal and naturalistic methods. We hope that this article stimulates the human-computer interaction, computer-supported cooperative work, and related communities to pursue a broad and comprehensive agenda for developing research networking systems.

  7. DOE Network 2025: Network Research Problems and Challenges for DOE Scientists. Workshop Report

    Energy Technology Data Exchange (ETDEWEB)

    None, None

    2016-02-01

    The growing investments in large science instruments and supercomputers by the US Department of Energy (DOE) hold enormous promise for accelerating the scientific discovery process. They facilitate unprecedented collaborations of geographically dispersed teams of scientists that use these resources. These collaborations critically depend on the production, sharing, moving, and management of, as well as interactive access to, large, complex data sets at sites dispersed across the country and around the globe. In particular, they call for significant enhancements in network capacities to sustain large data volumes and, equally important, the capabilities to collaboratively access the data across computing, storage, and instrument facilities by science users and automated scripts and systems. Improvements in network backbone capacities of several orders of magnitude are essential to meet these challenges, in particular, to support exascale initiatives. Yet, raw network speed represents only a part of the solution. Indeed, the speed must be matched by network and transport layer protocols and higher layer tools that scale in ways that aggregate, compose, and integrate the disparate subsystems into a complete science ecosystem. Just as important, agile monitoring and management services need to be developed to operate the network at peak performance levels. Finally, these solutions must be made an integral part of the production facilities by using sound approaches to develop, deploy, diagnose, operate, and maintain them over the science infrastructure.

  8. Multiuser Collaboration with Networked Mobile Devices

    Science.gov (United States)

    Tso, Kam S.; Tai, Ann T.; Deng, Yong M.; Becks, Paul G.

    2006-01-01

    In this paper we describe a multiuser collaboration infrastructure that enables multiple mission scientists to remotely and collaboratively interact with visualization and planning software, using wireless networked personal digital assistants(PDAs) and other mobile devices. During ground operations of planetary rover and lander missions, scientists need to meet daily to review downlinked data and plan science activities. For example, scientists use the Science Activity Planner (SAP) in the Mars Exploration Rover (MER) mission to visualize downlinked data and plan rover activities during the science meetings [1]. Computer displays are projected onto large screens in the meeting room to enable the scientists to view and discuss downlinked images and data displayed by SAP and other software applications. However, only one person can interact with the software applications because input to the computer is limited to a single mouse and keyboard. As a result, the scientists have to verbally express their intentions, such as selecting a target at a particular location on the Mars terrain image, to that person in order to interact with the applications. This constrains communication and limits the returns of science planning. Furthermore, ground operations for Mars missions are fundamentally constrained by the short turnaround time for science and engineering teams to process and analyze data, plan the next uplink, generate command sequences, and transmit the uplink to the vehicle [2]. Therefore, improving ground operations is crucial to the success of Mars missions. The multiuser collaboration infrastructure enables users to control software applications remotely and collaboratively using mobile devices. The infrastructure includes (1) human-computer interaction techniques to provide natural, fast, and accurate inputs, (2) a communications protocol to ensure reliable and efficient coordination of the input devices and host computers, (3) an application

  9. Does Telecare Improve Interorganisational Collaboration?

    Directory of Open Access Journals (Sweden)

    Jannie Kristine Bang Christensen

    2016-11-01

    Full Text Available Introduction: Previous studies have suggested that telecare can improve interorganisational collaboration within fragmented health care systems, yet this outcome has not been examined in a large-scale setting. This study explores the effects of a large-scale interorganisational telecare programme in Denmark based on home-monitoring on collaboration in a telecare network between municipalities, hospitals, and general practitioners. Methodology: Semi-structured interviews and observations of collaborating health professionals from the municipalities, hospitals, and general practitioners were undertaken and then repeated a year later. Collaboration was analysed both at the interorganisational network level and within each part of the network, including its interrelations. Results: Collaboration between municipalities and general practitioners was initially intensified as a result of implementing telecare, though this changed over time as the first start-up obstacles were overcome and the patients became more active in their treatment. Conversely, collaboration between 'hospitals and municipalities' and 'hospitals and general practitioners' was unaffected by telecare. Discussion: Changes in collaboration among municipal nurses, general practitioners, and hospital staff were related to dependency structures and municipalities’ newly gained central role in a telecare network. While the telecare network was initially characterised by asymmetrical dependency structures, these were partially equalised over time because of the municipalities’ new position in the network.

  10. AN EVALUATION AND IMPLEMENTATION OF COLLABORATIVE AND SOCIAL NETWORKING TECHNOLOGIES FOR COMPUTER EDUCATION

    OpenAIRE

    Ronnie Cheung; Calvin Wan

    2011-01-01

    We have developed a collaborative and social networking environment that integrates the knowledge and skills in communication and computing studies with a multimedia development project. The outcomes of the students’ projects show that computer literacy can be enhanced through a cluster of communication, social, and digital skills. Experience in implementing a web-based social networking environment shows that the new media is an effective means of enriching knowledge by sharing in computer l...

  11. Web-Based Scientific Exploration and Analysis of 3D Scanned Cuneiform Datasets for Collaborative Research

    Directory of Open Access Journals (Sweden)

    Denis Fisseler

    2017-12-01

    Full Text Available The three-dimensional cuneiform script is one of the oldest known writing systems and a central object of research in Ancient Near Eastern Studies and Hittitology. An important step towards the understanding of the cuneiform script is the provision of opportunities and tools for joint analysis. This paper presents an approach that contributes to this challenge: a collaborative compatible web-based scientific exploration and analysis of 3D scanned cuneiform fragments. The WebGL -based concept incorporates methods for compressed web-based content delivery of large 3D datasets and high quality visualization. To maximize accessibility and to promote acceptance of 3D techniques in the field of Hittitology, the introduced concept is integrated into the Hethitologie-Portal Mainz, an established leading online research resource in the field of Hittitology, which until now exclusively included 2D content. The paper shows that increasing the availability of 3D scanned archaeological data through a web-based interface can provide significant scientific value while at the same time finding a trade-off between copyright induced restrictions and scientific usability.

  12. A general framework for a collaborative water quality knowledge and information network.

    Science.gov (United States)

    Dalcanale, Fernanda; Fontane, Darrell; Csapo, Jorge

    2011-03-01

    Increasing knowledge about the environment has brought about a better understanding of the complexity of the issues, and more information publicly available has resulted into a steady shift from centralized decision making to increasing levels of participatory processes. The management of that information, in turn, is becoming more complex. One of the ways to deal with the complexity is the development of tools that would allow all players, including managers, researchers, educators, stakeholders and the civil society, to be able to contribute to the information system, in any level they are inclined to do so. In this project, a search for the available technology for collaboration, methods of community filtering, and community-based review was performed and the possible implementation of these tools to create a general framework for a collaborative "Water Quality Knowledge and Information Network" was evaluated. The main goals of the network are to advance water quality education and knowledge; encourage distribution and access to data; provide networking opportunities; allow public perceptions and concerns to be collected; promote exchange of ideas; and, give general, open, and free access to information. A reference implementation was made available online and received positive feedback from the community, which also suggested some possible improvements.

  13. Saver.net lidar network in southern South America

    Science.gov (United States)

    Ristori, Pablo; Otero, Lidia; Jin, Yoshitaka; Barja, Boris; Shimizu, Atsushi; Barbero, Albane; Salvador, Jacobo; Bali, Juan Lucas; Herrera, Milagros; Etala, Paula; Acquesta, Alejandro; Quel, Eduardo; Sugimoto, Nobuo; Mizuno, Akira

    2018-04-01

    The South American Environmental Risk Management Network (SAVER-Net) is an instrumentation network, mainly composed by lidars, to provide real-time information for atmospheric hazards and risk management purposes in South America. This lidar network have been developed since 2012 and all its sampling points are expected to be fully implemented by 2017. This paper describes the network's status and configuration, the data acquisition and processing scheme (protocols and data levels), as well as some aspects of the scientific networking in Latin American Lidar Network (LALINET). Similarly, the paper lays out future plans on the operation and integration to major international collaborative efforts.

  14. Management of Information Supporting Collaborative Networks

    Science.gov (United States)

    Afsarmanesh, Hamideh; Camarinha-Matos, Luis M.

    Dynamic creation of opportunity-based goal-oriented Collaborative Networks (CNs), among organizations or individuals, requires the availability of a variety of up-to-date information. In order to effectively address the complexity, dynamism, and scalability of actors, domains, and operations in opportunity-based CNs, pre-establishment of properly administrated strategic CNs is required. Namely, to effectively support creation/operation of opportunity-based VOs (Virtual Organizations) operating in certain domain, the pre-establishment of a VBE (Virtual organizations Breeding Environment) for that domain plays a crucial role and increases their chances of success. Administration of strategic CN environments however is challenging and requires an advanced set of inter-related functionalities, developed on top of strong management of their information. With the emphasis on information management aspects, a number of generic challenges for the CNs and especially for the administration of VBEs are introduced in the paper.

  15. Collaborative Catchment-Scale Water Quality Management using Integrated Wireless Sensor Networks

    Science.gov (United States)

    Zia, Huma; Harris, Nick; Merrett, Geoff

    2013-04-01

    Electronics and Computer Science, University of Southampton, United Kingdom Summary The challenge of improving water quality (WQ) is a growing global concern [1]. Poor WQ is mainly attributed to poor water management and outdated agricultural activities. We propose that collaborative sensor networks spread across an entire catchment can allow cooperation among individual activities for integrated WQ monitoring and management. We show that sharing information on critical parameters among networks of water bodies and farms can enable identification and quantification of the contaminant sources, enabling better decision making for agricultural practices and thereby reducing contaminants fluxes. Motivation and results Nutrient losses from land to water have accelerated due to agricultural and urban pursuits [2]. In many cases, the application of fertiliser can be reduced by 30-50% without any loss of yield [3]. Thus information about nutrient levels and trends around the farm can improve agricultural practices and thereby reduce water contamination. The use of sensor networks for monitoring WQ in a catchment is in its infancy, but more applications are being tested [4]. However, these are focussed on local requirements and are mostly limited to water bodies. They have yet to explore the use of this technology for catchment-scale monitoring and management decisions, in an autonomous and dynamic manner. For effective and integrated WQ management, we propose a system that utilises local monitoring networks across a catchment, with provision for collaborative information sharing. This system of networks shares information about critical events, such as rain or flooding. Higher-level applications make use of this information to inform decisions about nutrient management, improving the quality of monitoring through the provision of richer datasets of catchment information to local networks. In the full paper, we present example scenarios and analyse how the benefits of

  16. Opening science the evolving guide on how the Internet is changing research, collaboration and scholarly publishing

    CERN Document Server

    Friesike, Sascha

    2014-01-01

    Modern information and communication technologies, together with a cultural upheaval within the research community, have profoundly changed research in nearly every aspect. Ranging from sharing and discussing ideas in social networks for scientists to new collaborative environments and novel publication formats, knowledge creation and dissemination as we know it is experiencing a vigorous shift towards increased transparency, collaboration and accessibility. Many assume that research workflows will change more in the next 20 years than they have in the last 200. This book provides researchers, decision makers, and other scientific stakeholders with a snapshot of the basics, the tools, and the underlying visions that drive the current scientific (r)evolution, often called ‘Open Science.’

  17. Communication, collaboration and identity: factor analysis of academics’ perceptions of online networking

    Directory of Open Access Journals (Sweden)

    Katy Jordan

    2018-04-01

    Full Text Available Since the advent of online social networking sites, much has been written about their potential for transforming academia, as communication and collaboration underpin many scholarly activities. However, the extent to which these benefits are being realised in practice is unclear. As the uptake of tools by academics continues to grow, there is a question as to whether differences exist in their use and if any patterns or underlying factors are at play. This article presents the results of an online survey addressing this gap. A disciplinary divide was evident in terms of preferred academic social networking platforms, while perceptions about how academics use online networking for different purposes are linked to job position. Exploratory factor analysis identified four components representing different strategies used by academics in their approaches to online networking, including maintaining a personal learning network, promoting the professional self, seeking and promoting publications, and advancing careers.

  18. Social Media and Networking Technologies: An Analysis of Collaborative Work and Team Communication

    Science.gov (United States)

    Okoro, Ephraim A.; Hausman, Angela; Washington, Melvin C.

    2012-01-01

    Digital communication increases students' learning outcomes in higher education. Web 2.0 technologies encourages students' active engagement, collaboration, and participation in class activities, facilitates group work, and encourages information sharing among students. Familiarity with organizational use and sharing in social networks aids…

  19. Enhancing collaborative intrusion detection networks against insider attacks using supervised intrusion sensitivity-based trust management model

    DEFF Research Database (Denmark)

    Li, Wenjuan; Meng, Weizhi; Kwok, Lam-For

    2017-01-01

    To defend against complex attacks, collaborative intrusion detection networks (CIDNs) have been developed to enhance the detection accuracy, which enable an IDS to collect information and learn experience from others. However, this kind of networks is vulnerable to malicious nodes which are utili......To defend against complex attacks, collaborative intrusion detection networks (CIDNs) have been developed to enhance the detection accuracy, which enable an IDS to collect information and learn experience from others. However, this kind of networks is vulnerable to malicious nodes which...... are utilized by insider attacks (e.g., betrayal attacks). In our previous research, we developed a notion of intrusion sensitivity and identified that it can help improve the detection of insider attacks, whereas it is still a challenge for these nodes to automatically assign the values. In this article, we...... of intrusion sensitivity based on expert knowledge. In the evaluation, we compare the performance of three different supervised classifiers in assigning sensitivity values and investigate our trust model under different attack scenarios and in a real wireless sensor network. Experimental results indicate...

  20. Measuring the evolution and output of cross-disciplinary collaborations within the NCI Physical Sciences–Oncology Centers Network

    Science.gov (United States)

    Basner, Jodi E.; Theisz, Katrina I.; Jensen, Unni S.; Jones, C. David; Ponomarev, Ilya; Sulima, Pawel; Jo, Karen; Eljanne, Mariam; Espey, Michael G.; Franca-Koh, Jonathan; Hanlon, Sean E.; Kuhn, Nastaran Z.; Nagahara, Larry A.; Schnell, Joshua D.; Moore, Nicole M.

    2013-01-01

    Development of effective quantitative indicators and methodologies to assess the outcomes of cross-disciplinary collaborative initiatives has the potential to improve scientific program management and scientific output. This article highlights an example of a prospective evaluation that has been developed to monitor and improve progress of the National Cancer Institute Physical Sciences—Oncology Centers (PS-OC) program. Study data, including collaboration information, was captured through progress reports and compiled using the web-based analytic database: Interdisciplinary Team Reporting, Analysis, and Query Resource. Analysis of collaborations was further supported by data from the Thomson Reuters Web of Science database, MEDLINE database, and a web-based survey. Integration of novel and standard data sources was augmented by the development of automated methods to mine investigator pre-award publications, assign investigator disciplines, and distinguish cross-disciplinary publication content. The results highlight increases in cross-disciplinary authorship collaborations from pre- to post-award years among the primary investigators and confirm that a majority of cross-disciplinary collaborations have resulted in publications with cross-disciplinary content that rank in the top third of their field. With these evaluation data, PS-OC Program officials have provided ongoing feedback to participating investigators to improve center productivity and thereby facilitate a more successful initiative. Future analysis will continue to expand these methods and metrics to adapt to new advances in research evaluation and changes in the program. PMID:24808632

  1. Leveraging value in multi-stakeholder innovation networks: A process framework for value co-creation and capture

    NARCIS (Netherlands)

    Reypens, C.; Lievens, A.; Blazevic, V.

    2016-01-01

    To develop innovative solutions for complex societal and scientific challenges, organizations need to move beyond the boundaries of single firms and engage in collaborative networks. In these networks, multiple, diverse stakeholders are working together to co-create innovative value. Co-creation in

  2. International Collaboration Patterns and Effecting Factors of Emerging Technologies

    Science.gov (United States)

    Bai, Xu; Liu, Yun

    2016-01-01

    With the globalization of the world economy, international innovation collaboration has taken place all over the world. This study selects three emerging technologies (3D printing, big data and carbon nanotubes and graphene technology) among 20 countries as the research objects, using three patent-based indicators and network relationship analysis to reflect international collaboration patterns. Then we integrate empirical analyses to show effecting factors of international collaboration degrees by using panel data. The results indicate that while 3D printing technology is associated with a “balanced collaboration” mode, big data technology is more accurately described by a radial pattern, centered on the United States, and carbon nanotubes and graphene technology exhibits “small-world” characteristics in this respect. It also shows that the factors GDP per capita (GPC), R&D expenditure (RDE) and the export of global trade value (ETV) negatively affect the level of international collaboration. It could be useful for China and other developing countries to make international scientific and technological collaboration strategies and policies in the future. PMID:27911926

  3. Linking behavior in the physics education research coauthorship network

    Directory of Open Access Journals (Sweden)

    Katharine A. Anderson

    2017-05-01

    Full Text Available There is considerable long-term interest in understanding the dynamics of collaboration networks, and how these networks form and evolve over time. Most of the work done on the dynamics of social networks focuses on well-established communities. Work examining emerging social networks is rarer, simply because data are difficult to obtain in real time. In this paper, we use thirty years of data from an emerging scientific community to look at that crucial early stage in the development of a social network. We show that when the field was very young, islands of individual researchers labored in relative isolation, and the coauthorship network was disconnected. Thirty years later, rather than a cluster of individuals, we find a true collaborative community, bound together by a robust collaboration network. However, this change did not take place gradually—the network remained a loose assortment of isolated individuals until the mid 2000s, when those smaller parts suddenly knit themselves together into a single whole. In the rest of this paper, we consider the role of three factors in these observed structural changes: growth, changes in social norms, and the introduction of institutions such as field-specific conferences and journals. We have data from the very earliest years of the field, a period which includes the introduction of two different institutions: the first field-specific conference, and the first field-specific journals. We also identify two relevant behavioral shifts: a discrete increase in coauthorship coincident with the first conference, and a shift among established authors away from collaborating with outsiders, towards collaborating with each other. The interaction of these factors gives us insight into the formation of collaboration networks more broadly.

  4. Using Network Analysis to Characterize Biogeographic Data in a Community Archive

    Science.gov (United States)

    Wellman, T. P.; Bristol, S.

    2017-12-01

    Informative measures are needed to evaluate and compare data from multiple providers in a community-driven data archive. This study explores insights from network theory and other descriptive and inferential statistics to examine data content and application across an assemblage of publically available biogeographic data sets. The data are archived in ScienceBase, a collaborative catalog of scientific data supported by the U.S Geological Survey to enhance scientific inquiry and acuity. In gaining understanding through this investigation and other scientific venues our goal is to improve scientific insight and data use across a spectrum of scientific applications. Network analysis is a tool to reveal patterns of non-trivial topological features in the data that do not exhibit complete regularity or randomness. In this work, network analyses are used to explore shared events and dependencies between measures of data content and application derived from metadata and catalog information and measures relevant to biogeographic study. Descriptive statistical tools are used to explore relations between network analysis properties, while inferential statistics are used to evaluate the degree of confidence in these assessments. Network analyses have been used successfully in related fields to examine social awareness of scientific issues, taxonomic structures of biological organisms, and ecosystem resilience to environmental change. Use of network analysis also shows promising potential to identify relationships in biogeographic data that inform programmatic goals and scientific interests.

  5. Advance Network Reservation and Provisioning for Science

    Energy Technology Data Exchange (ETDEWEB)

    Balman, Mehmet; Chaniotakis, Evangelos; Shoshani, Arie; Sim, Alex

    2009-07-10

    We are witnessing a new era that offers new opportunities to conduct scientific research with the help of recent advancements in computational and storage technologies. Computational intensive science spans multiple scientific domains, such as particle physics, climate modeling, and bio-informatics simulations. These large-scale applications necessitate collaborators to access very large data sets resulting from simulations performed in geographically distributed institutions. Furthermore, often scientific experimental facilities generate massive data sets that need to be transferred to validate the simulation data in remote collaborating sites. A major component needed to support these needs is the communication infrastructure which enables high performance visualization, large volume data analysis, and also provides access to computational resources. In order to provide high-speed on-demand data access between collaborating institutions, national governments support next generation research networks such as Internet 2 and ESnet (Energy Sciences Network). Delivering network-as-a-service that provides predictable performance, efficient resource utilization and better coordination between compute and storage resources is highly desirable. In this paper, we study network provisioning and advanced bandwidth reservation in ESnet for on-demand high performance data transfers. We present a novel approach for path finding in time-dependent transport networks with bandwidth guarantees. We plan to improve the current ESnet advance network reservation system, OSCARS [3], by presenting to the clients, the possible reservation options and alternatives for earliest completion time and shortest transfer duration. The Energy Sciences Network (ESnet) provides high bandwidth connections between research laboratories and academic institutions for data sharing and video/voice communication. The ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) establishes

  6. Acoustic monitoring of terrorist intrusion in a drinking water network

    NARCIS (Netherlands)

    Quesson, B.A.J.; Sheldon-Robert, M.K.; Vloerbergh, I.N.; Vreeburg, J.H.G.

    2009-01-01

    In collaboration with Kiwa Water Research, TNO (Netherlands Organisation for Applied Scientific Research) has investigated the possibilities to detect and classify aberrant sounds in water networks, using acoustic sensors. Amongst the sources of such sounds are pumps, drills, mechanical impacts,

  7. CO2 Urban Synthesis and Analysis ("CO2-USA") Network

    Science.gov (United States)

    Lin, J. C.; Hutyra, L.; Loughner, C.; Stein, A. F.; Lusk, K.; Mitchell, L.; Gately, C.; Wofsy, S. C.

    2017-12-01

    Emissions of carbon associated with cities comprise a large component of the anthropogenic source. A number of cities have announced plans to reduce greenhouse gas emissions, but the scientific knowledge to quantitatively track emissions and assess the efficacy of mitigation is lacking. As the global population increasingly resides in urban regions, scientific knowledge about how much, where, and why a particular city emits carbon becomes increasingly important. To address this gap, researchers have initiated studies of carbon emissions and cycling in several U.S. cities, making it timely to develop a collaborative network to exchange information on community standards and common measurements, facilitate data sharing, and create analysis frameworks and cross-city syntheses to catalyze a new generation of researchers and enable new collaborations tackling important objectives that are difficult to address in isolation. We describe initial results from an incipient network focusing initially on cities in the U.S. with low barriers of entry that entrains a cross-section of U.S. urban centers with varying characteristics: size, population density, vegetation, urban form, infrastructure, development rates, climate, and meteorological patterns. Results will be reported that emerge from an initial workshop covering data harmonization & integration, inventory comparison, stakeholder outreach, network design, inverse modeling, and collaboration.

  8. End-System Network Interface Controller for 100 Gb/s Wide Area Networks: Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Wen, Jesse [Acadia Optronics LLC, Rockville, MD (United States)

    2013-08-30

    In recent years, network bandwidth requirements have scaled multiple folds, pushing the need for the development of data exchange mechanisms at 100 Gb/s and beyond. High performance computing, climate modeling, large-scale storage, and collaborative scientific research are examples of applications that can greatly benefit by leveraging high bandwidth capabilities of the order of 100 Gb/s. Such requirements and advances in IEEE Ethernet standards, Optical Transport Unit4 (OTU4), and host-system interconnects demand a network infrastructure supporting throughput rates of the order of 100 Gb/s with a single wavelength. To address such a demand Acadia Optronics in collaboration with the University of New Mexico, proposed and developed a end-system Network Interface Controller (NIC) for the 100Gbps WANs. Acadia’s 100G NIC employs an FPGA based system with a high-performance processor interconnect (PCIe 3.0) and a high capacity optical transmission link (CXP) to provide data transmission at the rate of 100 Gbps.

  9. International scientific communication in the context of social networking sites for scientists

    OpenAIRE

    Stachowiak, Beata

    2016-01-01

    In this paper, the author considers the alterations that occurred in the international scientific communication. It is mainly technological development that exerts the influence over these alterations – particularly the emergence of new media. The major part of this paper is dedicated to the issue of the use of social networking sites in scientific communication. In her considerations, the author refers to the world-wide research pertaining to social media in the meantime demonstrating the at...

  10. Nuclear Physics Science Network Requirements Workshop, May 6 and 7, 2008. Final Report

    International Nuclear Information System (INIS)

    Tierney, Ed. Brian L; Dart, Ed. Eli; Carlson, Rich; Dattoria, Vince; Ernest, Michael; Hitchcock, Daniel; Johnston, William; Kowalski, Andy; Lauret, Jerome; Maguire, Charles; Olson, Douglas; Purschke, Martin; Rai, Gulshan; Watson, Chip; Vale, Carla

    2008-01-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States of America. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In May 2008, ESnet and the Nuclear Physics (NP) Program Office of the DOE Office of Science organized a workshop to characterize the networking requirements of the science programs funded by the NP Program Office. Most of the key DOE sites for NP related work will require significant increases in network bandwidth in the 5 year time frame. This includes roughly 40 Gbps for BNL, and 20 Gbps for NERSC. Total transatlantic requirements are on the order of 40 Gbps, and transpacific requirements are on the order of 30 Gbps. Other key sites are Vanderbilt University and MIT, which will need on the order of 20 Gbps bandwidth to support data transfers for the CMS Heavy Ion program. In addition to bandwidth requirements, the workshop emphasized several points in regard to science process and collaboration. One key point is the heavy reliance on Grid tools and infrastructure (both PKI and tools such as GridFTP) by the NP community. The reliance on Grid software is expected to increase in the future. Therefore, continued development and support of Grid software is very important to the NP science community. Another key finding is that scientific productivity is greatly enhanced by easy researcher-local access to instrument data. This is driving the creation of distributed repositories for instrument data at collaborating institutions, along with a corresponding increase in demand for network-based data transfers and the tools

  11. Monitoring the US ATLAS Network Infrastructure with perfSONAR-PS

    International Nuclear Information System (INIS)

    McKee, Shawn; Lake, Andrew; Laurens, Philippe; Severini, Horst; Wlodek, Tomasz; Wolff, Stephen; Zurawski, Jason

    2012-01-01

    Global scientific collaborations, such as ATLAS, continue to push the network requirements envelope. Data movement in this collaboration is routinely including the regular exchange of petabytes of datasets between the collection and analysis facilities in the coming years. These requirements place a high emphasis on networks functioning at peak efficiency and availability; the lack thereof could mean critical delays in the overall scientific progress of distributed data-intensive experiments like ATLAS. Network operations staff routinely must deal with problems deep in the infrastructure; this may be as benign as replacing a failing piece of equipment, or as complex as dealing with a multi-domain path that is experiencing data loss. In either case, it is crucial that effective monitoring and performance analysis tools are available to ease the burden of management. We will report on our experiences deploying and using the perfSONAR-PS Performance Toolkit at ATLAS sites in the United States. This software creates a dedicated monitoring server, capable of collecting and performing a wide range of passive and active network measurements. Each independent instance is managed locally, but able to federate on a global scale; enabling a full view of the network infrastructure that spans domain boundaries. This information, available through web service interfaces, can easily be retrieved to create customized applications. The US ATLAS collaboration has developed a centralized “dashboard” offering network administrators, users, and decision makers the ability to see the performance of the network at a glance. The dashboard framework includes the ability to notify users (alarm) when problems are found, thus allowing rapid response to potential problems and making perfSONAR-PS crucial to the operation of our distributed computing infrastructure.

  12. Collaboration support system for "Phobos-Soil" space mission.

    Science.gov (United States)

    Nazarov, V.; Nazirov, R.; Zakharov, A.

    2009-04-01

    Rapid development of communication facilities leads growth of interactions done via electronic means. However we can see some paradox in this segment in last times: Extending of communication facilities increases collaboration chaos. And it is very sensitive for space missions in general and scientific space mission particularly because effective decision of this task provides successful realization of the missions and promises increasing the ratio of functional characteristic and cost of mission at all. Resolving of this problem may be found by using respective modern technologies and methods which widely used in different branches and not in the space researches only. Such approaches as Social Networking, Web 2.0 and Enterprise 2.0 look most prospective in this context. The primary goal of the "Phobos-Soil" mission is an investigation of the Phobos which is the Martian moon and particularly its regolith, internal structure, peculiarities of the orbital and proper motion, as well as a number of different scientific measurements and experiments for investigation of the Martian environment. A lot of investigators involved in the mission. Effective collaboration system is key facility for information support of the mission therefore. Further to main goal: communication between users of the system, modern approaches allows using such capabilities as self-organizing community, user generated content, centralized and federative control of the system. Also it may have one unique possibility - knowledge management which is very important for space mission realization. Therefore collaboration support system for "Phobos-Soil" mission designed on the base of multilayer model which includes such levels as Communications, Announcement and Information, Data sharing and Knowledge management. The collaboration support system for "Phobos-Soil" mission will be used as prototype for prospective Russian scientific space missions and the presentation describes its architecture

  13. Conceptualizing and Advancing Research Networking Systems

    Science.gov (United States)

    SCHLEYER, TITUS; BUTLER, BRIAN S.; SONG, MEI; SPALLEK, HEIKO

    2013-01-01

    Science in general, and biomedical research in particular, is becoming more collaborative. As a result, collaboration with the right individuals, teams, and institutions is increasingly crucial for scientific progress. We propose Research Networking Systems (RNS) as a new type of system designed to help scientists identify and choose collaborators, and suggest a corresponding research agenda. The research agenda covers four areas: foundations, presentation, architecture, and evaluation. Foundations includes project-, institution- and discipline-specific motivational factors; the role of social networks; and impression formation based on information beyond expertise and interests. Presentation addresses representing expertise in a comprehensive and up-to-date manner; the role of controlled vocabularies and folksonomies; the tension between seekers’ need for comprehensive information and potential collaborators’ desire to control how they are seen by others; and the need to support serendipitous discovery of collaborative opportunities. Architecture considers aggregation and synthesis of information from multiple sources, social system interoperability, and integration with the user’s primary work context. Lastly, evaluation focuses on assessment of collaboration decisions, measurement of user-specific costs and benefits, and how the large-scale impact of RNS could be evaluated with longitudinal and naturalistic methods. We hope that this article stimulates the human-computer interaction, computer-supported cooperative work, and related communities to pursue a broad and comprehensive agenda for developing research networking systems. PMID:24376309

  14. ESO and Chile: 10 Years of Productive Scientific Collaboration

    Science.gov (United States)

    2006-06-01

    ceremony, along with ambassadors in Chile of ESO members States, and representatives of the Chilean government and the scientific community. To review the impact of the numerous projects financed over the last decade, ESO presented the book "10 Years Exploring the Universe", based on the reports of the beneficiaries of the ESO-Chile fund. Since the beginning, the ESO-Chile fund has granted over 2.5 million euros to finance post-doc and astronomy professors for main Chilean universities, development of research infrastructure, organisation of scientific congresses, workshops for science teachers, and astronomy outreach programmes for the public. In addition to the 400,000 euros given annually by ESO to the ESO-Chile Joint Committee, around 550,000 euros are granted every year to finance regional collaboration programmes, fellowships for students in Chilean universities, and the development of radio astronomy through the ALMA-Chile Committee. In total, apart form the 10 percent of the observing time at all ESO telescopes, ESO contributes annually with 950,000 euros for the promotion of astronomy and scientific culture in Chile. The growth of astronomy and related sciences in Chile in the last years has been outstanding. According to a study by the Chilean Academy of Science in 2005, the number of astronomers has doubled over the last 20 years and there has been an 8-fold increase in the number of scientific publications. It is gratifying to see that 100 percent of the observing time granted by international observatories in Chile is actually used by the national community. The same study stated that astronomy could be the first scientific discipline in Chile with the standards of a developed country, with additional benefits in terms of technological improvement and growth of human resources. The English edition of the book "10 Years Exploring the Universe" is available here. The Spanish edition can be downloaded here.

  15. CMS Collaboration

    International Nuclear Information System (INIS)

    Faridah Mohammad Idris; Wan Ahmad Tajuddin Wan Abdullah; Zainol Abidin Ibrahim

    2013-01-01

    Full-text: CMS Collaboration is an international scientific collaboration located at European Organization for Nuclear Research (CERN), Switzerland, dedicated in carried out research on experimental particle physics. Consisting of 179 institutions from 41 countries from all around the word, CMS Collaboration host a general purpose detector for example the Compact Muon Solenoid (CMS) for members in CMS Collaboration to conduct experiment from the collision of two proton beams accelerated to a speed of 8 TeV in the LHC ring. In this paper, we described how the CMS detector is used by the scientist in CMS Collaboration to reconstruct the most basic building of matter. (author)

  16. Developing a Collaborative Agenda for Humanities and Social Scientific Research on Laboratory Animal Science and Welfare.

    Science.gov (United States)

    Davies, Gail F; Greenhough, Beth J; Hobson-West, Pru; Kirk, Robert G W; Applebee, Ken; Bellingan, Laura C; Berdoy, Manuel; Buller, Henry; Cassaday, Helen J; Davies, Keith; Diefenbacher, Daniela; Druglitrø, Tone; Escobar, Maria Paula; Friese, Carrie; Herrmann, Kathrin; Hinterberger, Amy; Jarrett, Wendy J; Jayne, Kimberley; Johnson, Adam M; Johnson, Elizabeth R; Konold, Timm; Leach, Matthew C; Leonelli, Sabina; Lewis, David I; Lilley, Elliot J; Longridge, Emma R; McLeod, Carmen M; Miele, Mara; Nelson, Nicole C; Ormandy, Elisabeth H; Pallett, Helen; Poort, Lonneke; Pound, Pandora; Ramsden, Edmund; Roe, Emma; Scalway, Helen; Schrader, Astrid; Scotton, Chris J; Scudamore, Cheryl L; Smith, Jane A; Whitfield, Lucy; Wolfensohn, Sarah

    2016-01-01

    Improving laboratory animal science and welfare requires both new scientific research and insights from research in the humanities and social sciences. Whilst scientific research provides evidence to replace, reduce and refine procedures involving laboratory animals (the '3Rs'), work in the humanities and social sciences can help understand the social, economic and cultural processes that enhance or impede humane ways of knowing and working with laboratory animals. However, communication across these disciplinary perspectives is currently limited, and they design research programmes, generate results, engage users, and seek to influence policy in different ways. To facilitate dialogue and future research at this interface, we convened an interdisciplinary group of 45 life scientists, social scientists, humanities scholars, non-governmental organisations and policy-makers to generate a collaborative research agenda. This drew on methods employed by other agenda-setting exercises in science policy, using a collaborative and deliberative approach for the identification of research priorities. Participants were recruited from across the community, invited to submit research questions and vote on their priorities. They then met at an interactive workshop in the UK, discussed all 136 questions submitted, and collectively defined the 30 most important issues for the group. The output is a collaborative future agenda for research in the humanities and social sciences on laboratory animal science and welfare. The questions indicate a demand for new research in the humanities and social sciences to inform emerging discussions and priorities on the governance and practice of laboratory animal research, including on issues around: international harmonisation, openness and public engagement, 'cultures of care', harm-benefit analysis and the future of the 3Rs. The process outlined below underlines the value of interdisciplinary exchange for improving communication across

  17. Developing a Collaborative Agenda for Humanities and Social Scientific Research on Laboratory Animal Science and Welfare

    Science.gov (United States)

    Davies, Gail F.; Greenhough, Beth J; Hobson-West, Pru; Kirk, Robert G. W.; Applebee, Ken; Bellingan, Laura C.; Berdoy, Manuel; Buller, Henry; Cassaday, Helen J.; Davies, Keith; Diefenbacher, Daniela; Druglitrø, Tone; Escobar, Maria Paula; Friese, Carrie; Herrmann, Kathrin; Hinterberger, Amy; Jarrett, Wendy J.; Jayne, Kimberley; Johnson, Adam M.; Johnson, Elizabeth R.; Konold, Timm; Leach, Matthew C.; Leonelli, Sabina; Lewis, David I.; Lilley, Elliot J.; Longridge, Emma R.; McLeod, Carmen M.; Miele, Mara; Nelson, Nicole C.; Ormandy, Elisabeth H.; Pallett, Helen; Poort, Lonneke; Pound, Pandora; Ramsden, Edmund; Roe, Emma; Scalway, Helen; Schrader, Astrid; Scotton, Chris J.; Scudamore, Cheryl L.; Smith, Jane A.; Whitfield, Lucy; Wolfensohn, Sarah

    2016-01-01

    Improving laboratory animal science and welfare requires both new scientific research and insights from research in the humanities and social sciences. Whilst scientific research provides evidence to replace, reduce and refine procedures involving laboratory animals (the ‘3Rs’), work in the humanities and social sciences can help understand the social, economic and cultural processes that enhance or impede humane ways of knowing and working with laboratory animals. However, communication across these disciplinary perspectives is currently limited, and they design research programmes, generate results, engage users, and seek to influence policy in different ways. To facilitate dialogue and future research at this interface, we convened an interdisciplinary group of 45 life scientists, social scientists, humanities scholars, non-governmental organisations and policy-makers to generate a collaborative research agenda. This drew on methods employed by other agenda-setting exercises in science policy, using a collaborative and deliberative approach for the identification of research priorities. Participants were recruited from across the community, invited to submit research questions and vote on their priorities. They then met at an interactive workshop in the UK, discussed all 136 questions submitted, and collectively defined the 30 most important issues for the group. The output is a collaborative future agenda for research in the humanities and social sciences on laboratory animal science and welfare. The questions indicate a demand for new research in the humanities and social sciences to inform emerging discussions and priorities on the governance and practice of laboratory animal research, including on issues around: international harmonisation, openness and public engagement, ‘cultures of care’, harm-benefit analysis and the future of the 3Rs. The process outlined below underlines the value of interdisciplinary exchange for improving communication across

  18. Developing a Collaborative Agenda for Humanities and Social Scientific Research on Laboratory Animal Science and Welfare.

    Directory of Open Access Journals (Sweden)

    Gail F Davies

    Full Text Available Improving laboratory animal science and welfare requires both new scientific research and insights from research in the humanities and social sciences. Whilst scientific research provides evidence to replace, reduce and refine procedures involving laboratory animals (the '3Rs', work in the humanities and social sciences can help understand the social, economic and cultural processes that enhance or impede humane ways of knowing and working with laboratory animals. However, communication across these disciplinary perspectives is currently limited, and they design research programmes, generate results, engage users, and seek to influence policy in different ways. To facilitate dialogue and future research at this interface, we convened an interdisciplinary group of 45 life scientists, social scientists, humanities scholars, non-governmental organisations and policy-makers to generate a collaborative research agenda. This drew on methods employed by other agenda-setting exercises in science policy, using a collaborative and deliberative approach for the identification of research priorities. Participants were recruited from across the community, invited to submit research questions and vote on their priorities. They then met at an interactive workshop in the UK, discussed all 136 questions submitted, and collectively defined the 30 most important issues for the group. The output is a collaborative future agenda for research in the humanities and social sciences on laboratory animal science and welfare. The questions indicate a demand for new research in the humanities and social sciences to inform emerging discussions and priorities on the governance and practice of laboratory animal research, including on issues around: international harmonisation, openness and public engagement, 'cultures of care', harm-benefit analysis and the future of the 3Rs. The process outlined below underlines the value of interdisciplinary exchange for improving

  19. Promoting Cognitive Health: A Formative Research Collaboration of the Healthy Aging Research Network

    Science.gov (United States)

    Laditka, James N.; Beard, Renee L.; Bryant, Lucinda L.; Fetterman, David; Hunter, Rebecca; Ivey, Susan; Logsdon, Rebecca G.; Sharkey, Joseph R.; Wu, Bei

    2009-01-01

    Purpose: Evidence suggests that healthy lifestyles may help maintain cognitive health. The Prevention Research Centers Healthy Aging Research Network, 9 universities collaborating with their communities and the Centers for Disease Control and Prevention, is conducting a multiyear research project, begun in 2005, to understand how to translate this…

  20. ePAL roadmap for active ageing: a collaborative networks approach to extending professional life

    NARCIS (Netherlands)

    Camarinha-Matos, L.M.; Afsarmanesh, H.; del Cura, A.; Playfoot, J.

    2010-01-01

    Active ageing, through a balanced combination of leisure and social interaction with continued work involvement, is central to meeting older citizens expectations, and maintaining their mental and physical health. Application of the collaborative networks paradigm, and the new generation of

  1. Communications fabric for scientific collaboration

    International Nuclear Information System (INIS)

    Stillerman, J.; Baron, D.; Fredian, T.; Greenwald, M.; Schulzrinne, H.

    2008-01-01

    Today's fusion experiments are geographically and institutionally dispersed collaborations. This makes the need for good remote collaboration tools particularly acute. Informal interactions between scientists are particularly important and hard to realize with traditional communications approaches. We are testing existing packages based on the IETF SIP (session initiation protocol) standard and integrating them into our applications to address these issues. Development of additional tools may be needed to provide better integration and enhanced functionality. By providing a spectrum of tools encompassing instant messaging, voice, video, presence, event notification and application sharing, we hope to overcome technical hurdles and a natural reluctance, among researchers, to interact with colleagues who are not on site. Existing web pages, which support integrated and shared workspaces, such as electronic logbooks, code and experimental run management, records of presentations and publications, personnel databases, and physical site maps will be 'communications enabled', so that just as currently there are 'mailto' links we will be able to have 'speak to:', 'instant message to:', 'video to:', and 'share with:' links. Mechanisms will be provided for session portability; a conference might be moved from a hard phone to a soft phone so that video or application sharing could be enabled. This paper discusses our ongoing efforts in these areas, including a prototype implementation of some of these tools

  2. Communications fabric for scientific collaboration

    Energy Technology Data Exchange (ETDEWEB)

    Stillerman, J. [MIT Plasma Science and Fusion Center, NW17-268 Cambridge, MA 02139 (United States)], E-mail: jas@psfc.mit.edu; Baron, D. [MIT Information Services and Technology, Cambridge, MA 02139 (United States); Fredian, T.; Greenwald, M. [MIT Plasma Science and Fusion Center, NW17-268 Cambridge, MA 02139 (United States); Schulzrinne, H. [Columbia University Computer Science Department, New York, NY 10027 (United States)

    2008-04-15

    Today's fusion experiments are geographically and institutionally dispersed collaborations. This makes the need for good remote collaboration tools particularly acute. Informal interactions between scientists are particularly important and hard to realize with traditional communications approaches. We are testing existing packages based on the IETF SIP (session initiation protocol) standard and integrating them into our applications to address these issues. Development of additional tools may be needed to provide better integration and enhanced functionality. By providing a spectrum of tools encompassing instant messaging, voice, video, presence, event notification and application sharing, we hope to overcome technical hurdles and a natural reluctance, among researchers, to interact with colleagues who are not on site. Existing web pages, which support integrated and shared workspaces, such as electronic logbooks, code and experimental run management, records of presentations and publications, personnel databases, and physical site maps will be 'communications enabled', so that just as currently there are 'mailto' links we will be able to have 'speak to:', 'instant message to:', 'video to:', and 'share with:' links. Mechanisms will be provided for session portability; a conference might be moved from a hard phone to a soft phone so that video or application sharing could be enabled. This paper discusses our ongoing efforts in these areas, including a prototype implementation of some of these tools.

  3. Analysis of the experience of providing radiation protection of population and environment within the international collaboration network

    International Nuclear Information System (INIS)

    Sergei Aleksanin; Eugene Zheleznyakov; Regina Fedortseva

    2007-01-01

    Complete text of publication follows. The All-Russian Center of Emergency and Radiation Medicine (ARCERM) in St. Petersburg is a specialized radiation health institution and World Health Organization (WHO) collaborating center within the Radiation Emergency Medical Preparedness and Assistance Network (REMPAN), which primary objectives are: - To promote medical preparedness for radiation accidents and radio-nuclear threats among WHO Member States; - To provide medical and public health advice, assistance and coordination of medical management at international and regional levels in the case of a nuclear accident or radiological emergency; - To assist in follow-up studies and rehabilitation. ARCERM serves as a national focal point for advice and possible medical care in cases of radiation injuries in humans as well as assists WHO to prepare relevant documents and guidelines, provides training in radiation medicine, distributes relevant information to the medical community and the public and carries out scientific investigations on radiation effects on humans. The Center is prepared to undertake actions on medical management of possible radiation emergencies both on national and international level as a member of REMPAN network. The assistance provided by ARCERM may also include providing radiation medicine and other appropriate specialists, scientific services and expertise, equipment and medical services for diagnosis, prognosis, medical treatment and medical follow-up of persons affected by radiation. In case of radiation accident the Center has standard operating procedures at country level. It includes the system of warning and data collection, setting up special wards for receiving radiation victims, radioactivity control station, primary deactivation and treatment as well as providing personal protection for staff. WHO, as well as other co-operating international organizations, are notified and provided with relevant information through the International Atomic

  4. Networked Cultures in the Collaborative Economy

    DEFF Research Database (Denmark)

    Gyimóthy, Szilvia

    2017-01-01

    , and together open up for multidimensional interpretations of social exchange in the collaborative economy. The chapter concludes with a critical reflection on the challenges of understanding the collaborative economy in tourism, particularly when discourses are dominated by a communitarian logic......This chapter charts diverse approaches to conceptualizing the cultures of connection characterizing the collaborative economy. To decode the “we-conomy”, we revisit classic notions of coexistence, collaboration and bonding in communities. Informed by a multidisciplinary review (touching upon human...... ecology, sociology, anthropology and cultural theory), the chapter identifies distinct theoretical frameworks to describe the constitution of communities and discusses their relevance to the collaborative economy. These frameworks explain the drivers of communitarian behavior and resource circulation...

  5. Scaffolding scientific discussion using socially relevant representations in networked multimedia

    Science.gov (United States)

    Hoadley, Christopher M.

    1999-11-01

    How do students make use of social cues when learning on the computer? This work examines how students in a middle-school science course learned through on-line peer discussion. Cognitive accounts of collaboration stress interacting with ideas, while socially situated accounts stress the interpersonal context. The design of electronic environments allows investigation into the interrelation of cognitive and social dimensions. I use on-line peer discussion to investigate how socially relevant representations in interfaces can aid learning. First, I identify some of the variables that affect individual participation in on-line discussion, including interface features. Individual participation is predicted by student attitudes towards learning from peers. Second, I describe the range of group outcomes for these on-line discussions. There is a large effect of discussion group on learning outcomes which is not reducible to group composition or gross measures of group process. Third, I characterize how students (individually) construct understanding from these group discussions. Learning in the on-line discussions is shown to be a result of sustained interaction over time, not merely encountering or expressing ideas. Experimental manipulations in the types of social cues available to students suggest that many students do use socially relevant representations to support their understanding of multiple viewpoints and science reasoning. Personalizing scientific disputes can afford reflection on the nature of scientific discovery and advance. While there are many individual differences in how social representations are used by students in learning, overall learning benefits for certain social representations can be shown. This work has profound implications for design of collaborative instructional methods, equitable access to science learning, design of instructional technology, and understanding of learning and cognition in social settings.

  6. TinCan: User-Defined P2P Virtual Network Overlays for Ad-hoc Collaboration

    Directory of Open Access Journals (Sweden)

    Pierre St Juste

    2014-10-01

    Full Text Available Virtual private networking (VPN has become an increasingly important component of a collaboration environment because it ensures private, authenticated communication among participants, using existing collaboration tools, where users are distributed across multiple institutions and can be mobile. The majority of current VPN solutions are based on a centralized VPN model, where all IP traffic is tunneled through a VPN gateway. Nonetheless, there are several use case scenarios that require a model where end-to-end VPN links are tunneled upon existing Internet infrastructure in a peer-to-peer (P2P fashion, removing the bottleneck of a centralized VPN gateway. We propose a novel virtual network — TinCan — based on peerto-peer private network tunnels. It reuses existing standards and implementations of services for discovery notification (XMPP, reflection (STUN and relaying (TURN, facilitating configuration. In this approach, trust relationships maintained by centralized (or federated services are automatically mapped to TinCan links. In one use scenario, TinCan allows unstructured P2P overlays connecting trusted end-user devices — while only requiring VPN software on user devices and leveraging online social network (OSN infrastructure already widely deployed. This paper describes the architecture and design of TinCan and presents an experimental evaluation of a prototype supporting Windows, Linux, and Android mobile devices. Results quantify the overhead introduced by the network virtualization layer, and the resource requirements imposed on services needed to bootstrap TinCan links.

  7. A Collaboration-Oriented M2M Messaging Mechanism for the Collaborative Automation between Machines in Future Industrial Networks

    Directory of Open Access Journals (Sweden)

    Zhaozong Meng

    2017-11-01

    Full Text Available Machine-to-machine (M2M communication is a key enabling technology for industrial internet of things (IIoT-empowered industrial networks, where machines communicate with one another for collaborative automation and intelligent optimisation. This new industrial computing paradigm features high-quality connectivity, ubiquitous messaging, and interoperable interactions between machines. However, manufacturing IIoT applications have specificities that distinguish them from many other internet of things (IoT scenarios in machine communications. By highlighting the key requirements and the major technical gaps of M2M in industrial applications, this article describes a collaboration-oriented M2M (CoM2M messaging mechanism focusing on flexible connectivity and discovery, ubiquitous messaging, and semantic interoperability that are well suited for the production line-scale interoperability of manufacturing applications. The designs toward machine collaboration and data interoperability at both the communication and semantic level are presented. Then, the application scenarios of the presented methods are illustrated with a proof-of-concept implementation in the PicknPack food packaging line. Eventually, the advantages and some potential issues are discussed based on the PicknPack practice.

  8. Competition in collaborative clothing: a qualitative case study of influences on collaborative quality improvement in the ICU.

    Science.gov (United States)

    Dainty, Katie N; Scales, Damon C; Sinuff, Tasnim; Zwarenstein, Merrick

    2013-04-01

    Multiorganisational quality improvement (QI) collaborative networks are promoted for improving quality within healthcare. Recently, several large-scale QI initiatives have been conducted in the intensive care unit (ICU) environment with successful quantitative results. However, the mechanisms through which such networks lead to QI success remain uncertain. We aim to understand ICU staff perspectives on collaborative QI based on involvement in a multiorganisational improvement network and hypothesise about theoretical constructs that might explain the effect of collaboration in such networks. Qualitative study using a modified grounded theory approach. Key informant interviews were conducted with staff from 12 community hospital ICUs that participated in a cluster randomized control trial (RCT) of a QI intervention using a collaborative approach between 2006 and 2008. Data analysis followed the standard procedure for grounded theory using constant comparative methodology. The collaborative network was perceived to promote increased intrateam cooperation over interorganisational cooperation, but friendly competition with other ICUs appeared to be a prominent driver of behaviour change. Bedsides, clinicians reported that belonging to a collaborative network provided recognition for the high-quality patient care that they already provided. However, the existing communication structure was perceived to be ineffective for staff engagement since it was based on a hierarchical approach to knowledge transfer and project awareness. QI collaborative networks may promote behaviour change by improving intrateam communication, fostering competition with other institutions, and increasing recognition for providing high-quality care. Other commonly held assumptions about their potential impact, for instance, increasing interorganisational legitimisation, communication and collaboration, may be less important.

  9. The Y.E.S. Network: An IYPE legacy for engaging future generations of early-career geoscientists

    Science.gov (United States)

    Gonzales, L. M.; Govoni, D.; Micucci, L.; Gaines, S. M.; Venus, J.; Meng, W.

    2009-12-01

    The Y.E.S. Network, an association of early-career geoscientists who represent professional societies, geoscience companies, and geoscience departments from across the world, was formed as a direct result of the International Year of Planet Earth (IYPE). Currently the Y.E.S. Network has representatives in thirty-five countries from six continents. The goal of the network is to engage early-career representatives from geological associations and institutions, policy-makers, and delegates from administrative bodies to establish a worldwide network of future leaders, policy-makers and geoscientists who will work collaboratively to address the scientific challenges future generations will face. To this end, the Y.E.S. Network, in collaboration with IYPE and with the patronage of UNESCO, organized the first international Y.E.S. Congress which was hosted by the China University of Geosciences in Beijing. The conference focused on scientific and career challenges faced by early-career geoscientists, with a particular emphasis on how the Y.E.S. Network can work collaborative and internationally towards solving these challenges and furthering the IYPE motto of “Earth Sciences for Society”. The conference focused on the ten major themes of the IYPE (e.g. health, climate, groundwater, ocean, soils, deep earth, megacities, hazards, resources, and life) at its poster and oral sessions. Roundtable symposia engaged senior and early-career geoscientists via presentations, panel discussions, and working group sessions where strategies related to scientific challenges (i.e. climate change in the polar regions, natural hazards, natural resource sustainability) and academic and career pathway challenges (i.e. academic-industry linkages, gender parity in the geosciences, geoscience education sustainability, and international licensure issues) were developed. These strategies were then tasked to the Y.E.S. Network for further development and implementation. Future Y.E.S. Network

  10. An exploratory analysis of network characteristics and quality of interactions among public health collaboratives

    Directory of Open Access Journals (Sweden)

    Danielle M. Varda

    2012-06-01

    Full Text Available While the benefits of collaboration have become widely accepted and the practice of collaboration is growing within the public health system, a paucity of research exists that examines factors and mechanisms related to effective collaboration between public health and their partner organizations. The purpose of this paper is to address this gap by exploring the structural and organizational characteristics of public health collaboratives. Design and Methods. Using both social network analysis and traditional statistical methods, we conduct an exploratory secondary data analysis of 11 public health collaboratives chosen from across the United States. All collaboratives are part of the PARTNER (www.partnertool.net database. We analyze data to identify relational patterns by exploring the structure (the way that organizations connect and exchange relationships, in relation to perceptions of value and trust, explanations for varying reports of success, and factors related to outcomes. We describe the characteristics of the collaboratives, types of resource contributions, outcomes of the collaboratives, perceptions of success, and reasons for success. We found high variation and significant differences within and between these collaboratives including perceptions of success. There were significant relationships among various factors such as resource contributions, reasons cited for success, and trust and value perceived by organizations. We find that although the unique structure of each collaborative makes it challenging to identify a specific set of factors to determine when a collaborative will be successful, the organizational characteristics and interorganizational dynamics do appear to impact outcomes. We recommend a quality improvement process that suggests matching assessment to goals and developing action steps for performance improvement.

  11. The money trail: a new historiography for networks, patronage and scientific careers

    DEFF Research Database (Denmark)

    Andersen, Casper; Bek-Thomsen, Jakob; Kjærgaard, Peter C.

    2012-01-01

    in the nineteenth and twentieth centuries. Drawing on cases and materials relating to a number of scientific fields including electrical engineering, aeronautics, agriculture and palaeontology, the articles examine the continuous role of money in industrial and military patronage, personal connections and networks...

  12. Collaborative Oceanographic Research Opportunities with Schmidt Ocean Institute

    Science.gov (United States)

    Zykov, V.

    2014-12-01

    Schmidt Ocean Institute (http://www.schmidtocean.org/) was founded by Dr. Eric Schmidt and Wendy Schmidt in 2009 to support frontier oceanographic research and exploration to expand the understanding of the world's oceans through technological advancement, intelligent, data-rich observation and analysis, and open sharing of information. Schmidt Ocean Institute operates a state-of-the-art globally capable research vessel Falkor (http://www.schmidtocean.org/story/show/47). After two years of scientific operations in the Atlantic Ocean, Gulf of Mexico, Caribbean, Eastern and Central Pacific, R/V Falkor is now preparing to support research in the Western Pacific and Eastern Indian Oceans in 2015 and 2016. As part of the long term research program development for Schmidt Ocean Institute, we aim to identify initiatives and projects that demonstrate strong alignment with our strategic interests. We focus on scientific opportunities that highlight effective use of innovative technologies to better understand the oceans, such as, for example, research enabled with remotely operated and autonomous vehicles, acoustics, in-situ sensing, telepresence, etc. Our technology-first approach to ocean science gave rise to infrastructure development initiatives, such as the development of a new full ocean depth Hybrid Remotely Operated Vehicle, new 6000m scientific Autonomous Underwater Vehicle, live HD video streaming from the ship to YouTube, shipboard high performance supercomputing, etc. We also support projects focusing on oceanographic technology research and development onboard R/V Falkor. We provide our collaborators with access to all of R/V Falkor's facilities and instrumentation in exchange for a commitment to make the resulting scientific data openly available to the international oceanographic community. This presentation aims to expand awareness about the interests and capabilities of Schmidt Ocean Institute and R/V Falkor among our scientific audiences and further

  13. Good and Bad Research Collaborations: Researchers' Views on Science and Ethics in Global Health Research.

    Directory of Open Access Journals (Sweden)

    Michael Parker

    Full Text Available There has been a dramatic rise in the scale and scope of collaborative global health research. A number of structural and scientific factors explain this growth and there has been much discussion of these in the literature. Little, if any, attention has been paid, however, to the factors identified by scientists and other research actors as important to successful research collaboration. This is surprising given that their decisions are likely to play a key role in the sustainability and effectiveness of global health research initiatives. In this paper, we report on qualitative research with leading scientists involved in major international research collaborations about their views on good and bad collaborations and the factors that inform their decision-making about joining and participating actively in research networks. We identify and discuss eight factors that researchers see as essential in judging the merits of active participation in global health research collaborations: opportunities for active involvement in cutting-edge, interesting science; effective leadership; competence of potential partners in and commitment to good scientific practice; capacity building; respect for the needs, interests and agendas of partners; opportunities for discussion and disagreement; trust and confidence; and, justice and fairness in collaboration. Our findings suggest that the sustainability and effectiveness of global health research collaborations has an important ethical or moral dimension for the research actors involved.

  14. Good and Bad Research Collaborations: Researchers' Views on Science and Ethics in Global Health Research.

    Science.gov (United States)

    Parker, Michael; Kingori, Patricia

    2016-01-01

    There has been a dramatic rise in the scale and scope of collaborative global health research. A number of structural and scientific factors explain this growth and there has been much discussion of these in the literature. Little, if any, attention has been paid, however, to the factors identified by scientists and other research actors as important to successful research collaboration. This is surprising given that their decisions are likely to play a key role in the sustainability and effectiveness of global health research initiatives. In this paper, we report on qualitative research with leading scientists involved in major international research collaborations about their views on good and bad collaborations and the factors that inform their decision-making about joining and participating actively in research networks. We identify and discuss eight factors that researchers see as essential in judging the merits of active participation in global health research collaborations: opportunities for active involvement in cutting-edge, interesting science; effective leadership; competence of potential partners in and commitment to good scientific practice; capacity building; respect for the needs, interests and agendas of partners; opportunities for discussion and disagreement; trust and confidence; and, justice and fairness in collaboration. Our findings suggest that the sustainability and effectiveness of global health research collaborations has an important ethical or moral dimension for the research actors involved.

  15. PMFA: Toward Passive Message Fingerprint Attacks on Challenge-Based Collaborative Intrusion Detection Networks

    DEFF Research Database (Denmark)

    Li, Wenjuan; Meng, Weizhi; Kwok, Lam-For

    2016-01-01

    To enhance the performance of single intrusion detection systems (IDSs), collaborative intrusion detection networks (CIDNs) have been developed, which enable a set of IDS nodes to communicate with each other. In such a distributed network, insider attacks like collusion attacks are the main threat...... to advanced insider attacks in practical deployment. In this paper, we design a novel type of collusion attack, called passive message fingerprint attack (PMFA), which can collect messages and identify normal requests in a passive way. In the evaluation, we explore the attack performance under both simulated...... and real network environments. Experimental results indicate that under our attack, malicious nodes can send malicious responses to normal requests while maintaining their trust values....

  16. Analysis of inter-country input-output table based on citation network: How to measure the competition and collaboration between industrial sectors on the global value chain

    Science.gov (United States)

    2017-01-01

    The input-output table is comprehensive and detailed in describing the national economic system with complex economic relationships, which embodies information of supply and demand among industrial sectors. This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics. Global Industrial Strongest Relevant Network models were established by extracting the strongest and most immediate industrial relevance in the global economic system with inter-country input-output tables and then transformed into Global Industrial Resource Competition Network/Global Industrial Production Collaboration Network models embodying the competitive/collaborative relationships based on bibliographic coupling/co-citation approach. Three indicators well suited for these two kinds of weighted and non-directed networks with self-loops were introduced, including unit weight for competitive/collaborative power, disparity in the weight for competitive/collaborative amplitude and weighted clustering coefficient for competitive/collaborative intensity. Finally, these models and indicators were further applied to empirically analyze the function of sectors in the latest World Input-Output Database, to reveal inter-sector competitive/collaborative status during the economic globalization. PMID:28873432

  17. Analysis of inter-country input-output table based on citation network: How to measure the competition and collaboration between industrial sectors on the global value chain.

    Science.gov (United States)

    Xing, Lizhi

    2017-01-01

    The input-output table is comprehensive and detailed in describing the national economic system with complex economic relationships, which embodies information of supply and demand among industrial sectors. This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics. Global Industrial Strongest Relevant Network models were established by extracting the strongest and most immediate industrial relevance in the global economic system with inter-country input-output tables and then transformed into Global Industrial Resource Competition Network/Global Industrial Production Collaboration Network models embodying the competitive/collaborative relationships based on bibliographic coupling/co-citation approach. Three indicators well suited for these two kinds of weighted and non-directed networks with self-loops were introduced, including unit weight for competitive/collaborative power, disparity in the weight for competitive/collaborative amplitude and weighted clustering coefficient for competitive/collaborative intensity. Finally, these models and indicators were further applied to empirically analyze the function of sectors in the latest World Input-Output Database, to reveal inter-sector competitive/collaborative status during the economic globalization.

  18. Analysis of inter-country input-output table based on citation network: How to measure the competition and collaboration between industrial sectors on the global value chain.

    Directory of Open Access Journals (Sweden)

    Lizhi Xing

    Full Text Available The input-output table is comprehensive and detailed in describing the national economic system with complex economic relationships, which embodies information of supply and demand among industrial sectors. This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics. Global Industrial Strongest Relevant Network models were established by extracting the strongest and most immediate industrial relevance in the global economic system with inter-country input-output tables and then transformed into Global Industrial Resource Competition Network/Global Industrial Production Collaboration Network models embodying the competitive/collaborative relationships based on bibliographic coupling/co-citation approach. Three indicators well suited for these two kinds of weighted and non-directed networks with self-loops were introduced, including unit weight for competitive/collaborative power, disparity in the weight for competitive/collaborative amplitude and weighted clustering coefficient for competitive/collaborative intensity. Finally, these models and indicators were further applied to empirically analyze the function of sectors in the latest World Input-Output Database, to reveal inter-sector competitive/collaborative status during the economic globalization.

  19. Collaboration and Networking

    NARCIS (Netherlands)

    Husson, O.; Manten-Horst, E.; Graaf, W.T.A. van der

    2016-01-01

    Awareness of the need for collaboration across pediatric and adult cancer to care for adolescents and young adults (AYAs) arose from the recognition of the unique characteristics of AYAs with cancer. Neither pediatric nor adult oncology hospital departments are able to provide age-appropriate care

  20. The Indigenous Observation Network: Collaborative, Community-Based Monitoring in the Yukon River Basin

    Science.gov (United States)

    Herman-Mercer, N. M.; Mutter, E. A.; Wilson, N. J.; Toohey, R.; Schuster, P. F.

    2017-12-01

    The Indigenous Observation Network (ION) is a collaborative Community-Based Monitoring (CBM) program with both permafrost and water-quality monitoring components operating in the Yukon River Basin (YRB) of Alaska and Canada. ION is jointly facilitated by the Yukon River Inter-Tribal Watershed Council (YRITWC), an indigenous non-profit organization, and the US Geological Survey (USGS), a federal agency. The YRB is the fourth largest drainage basin in North America encompassing 855,000 square kilometers in northwestern Canada and central Alaska and is essential to the ecosystems of the Bering and Chuckchi Seas. Water is also fundamental to the subsistence and culture of the 76 Tribes and First Nations that live in the YRB providing sustenance in the form of drinking water, fish, wildlife, and vegetation. Despite the ecological and cultural significance of the YRB, the remote geography of sub-Arctic and Arctic Alaska and Canada make it difficult to collect scientific data in these locations and led to a lack of baseline data characterizing this system until recently. In response to community concerns about the quality of the YR and a desire by USGS scientists to create a long term water-quality database, the USGS and YRITWC collaborated to create ION in 2005. Surface water samples are collected by trained community technicians from Tribal Environmental Programs or First Nation Lands and Resources staff from over 35 Alaska Native Tribes and First Nations that reside along the YR and/or one of the major tributaries. Samples are analyzed at USGS laboratories in Boulder, CO and results are disseminated to participating YRB communities and the general public. This presentation will focus on the factors that have enabled the longevity and success of this program over the last decade, as well as the strategies ION uses to ensure the credibility of the data collected by community members and best practices that have facilitated the collection of surface water data in remote

  1. Collaborative Posters Develop Students' Ability to Communicate about Undervalued Scientific Resources to Nonscientists.

    Science.gov (United States)

    Mayfield, Teresa J; Olimpo, Jeffrey T; Floyd, Kevin W; Greenbaum, Eli

    2018-01-01

    Scientists are increasingly called upon to communicate with the public, yet most never receive formal training in this area. Public understanding is particularly critical to maintaining support for undervalued resources such as biological collections, research data repositories, and expensive equipment. We describe activities carried out in an inquiry-driven organismal biology laboratory course designed to engage a diverse student body using biological collections. The goals of this cooperative learning experience were to increase students' ability to locate and comprehend primary research articles, and to communicate the importance of an undervalued scientific resource to nonscientists. Our results indicate that collaboratively created, research-focused informational posters are an effective tool for achieving these goals and may be applied in other disciplines or classroom settings.

  2. SONG-China Project: A Global Automated Observation Network

    Science.gov (United States)

    Yang, Z. Z.; Lu, X. M.; Tian, J. F.; Zhuang, C. G.; Wang, K.; Deng, L. C.

    2017-09-01

    Driven by advancements in technology and scientific objectives, data acquisition in observational astronomy has been changed greatly in recent years. Fully automated or even autonomous ground-based network of telescopes has now become a tendency for time-domain observational projects. The Stellar Observations Network Group (SONG) is an international collaboration with the participation and contribution of the Chinese astronomy community. The scientific goal of SONG is time-domain astrophysics such as asteroseismology and open cluster research. The SONG project aims to build a global network of 1 m telescopes equipped with high-precision and high-resolution spectrographs, and two-channel lucky-imaging cameras. It is the Chinese initiative to install a 50 cm binocular photometry telescope at each SONG node sharing the network platform and infrastructure. This work is focused on design and implementation in technology and methodology of SONG/50BiN, a typical ground-based network composed of multiple sites and a variety of instruments.

  3. Enabling model checking for collaborative process analysis: from BPMN to `Network of Timed Automata'

    Science.gov (United States)

    Mallek, Sihem; Daclin, Nicolas; Chapurlat, Vincent; Vallespir, Bruno

    2015-04-01

    Interoperability is a prerequisite for partners involved in performing collaboration. As a consequence, the lack of interoperability is now considered a major obstacle. The research work presented in this paper aims to develop an approach that allows specifying and verifying a set of interoperability requirements to be satisfied by each partner in the collaborative process prior to process implementation. To enable the verification of these interoperability requirements, it is necessary first and foremost to generate a model of the targeted collaborative process; for this research effort, the standardised language BPMN 2.0 is used. Afterwards, a verification technique must be introduced, and model checking is the preferred option herein. This paper focuses on application of the model checker UPPAAL in order to verify interoperability requirements for the given collaborative process model. At first, this step entails translating the collaborative process model from BPMN into a UPPAAL modelling language called 'Network of Timed Automata'. Second, it becomes necessary to formalise interoperability requirements into properties with the dedicated UPPAAL language, i.e. the temporal logic TCTL.

  4. Saver.net lidar network in southern South America

    Directory of Open Access Journals (Sweden)

    Ristori Pablo

    2018-01-01

    Full Text Available The South American Environmental Risk Management Network (SAVER-Net is an instrumentation network, mainly composed by lidars, to provide real-time information for atmospheric hazards and risk management purposes in South America. This lidar network have been developed since 2012 and all its sampling points are expected to be fully implemented by 2017. This paper describes the network’s status and configuration, the data acquisition and processing scheme (protocols and data levels, as well as some aspects of the scientific networking in Latin American Lidar Network (LALINET. Similarly, the paper lays out future plans on the operation and integration to major international collaborative efforts.

  5. Implementation and Outcomes of a Collaborative Multi-Center Network Aimed at Web-Based Cognitive Training - COGWEB Network.

    Science.gov (United States)

    Tedim Cruz, Vítor; Pais, Joana; Ruano, Luis; Mateus, Cátia; Colunas, Márcio; Alves, Ivânia; Barreto, Rui; Conde, Eduardo; Sousa, Andreia; Araújo, Isabel; Bento, Virgílio; Coutinho, Paula; Rocha, Nelson

    2014-01-01

    Cognitive care for the most prevalent neurologic and psychiatric conditions will only improve through the implementation of new sustainable approaches. Innovative cognitive training methodologies and collaborative professional networks are necessary evolutions in the mental health sector. The objective of the study was to describe the implementation process and early outcomes of a nationwide multi-organizational network supported on a Web-based cognitive training system (COGWEB). The setting for network implementation was the Portuguese mental health system and the hospital-, academic-, community-based institutions and professionals providing cognitive training. The network started in August 2012, with 16 centers, and was monitored until September 2013 (inclusions were open). After onsite training, all were allowed to use COGWEB in their clinical or research activities. For supervision and maintenance were implemented newsletters, questionnaires, visits and webinars. The following outcomes were prospectively measured: (1) number, (2) type, (3) time to start, and (4) activity state of centers; age, gender, level of education, and medical diagnosis of patients enrolled. The network included 68 professionals from 41 centers, (33/41) 80% clinical, (8/41) 19% nonclinical. A total of 298 patients received cognitive training; 45.3% (n=135) female, mean age 54.4 years (SD 18.7), mean educational level 9.8 years (SD 4.8). The number enrolled each month increased significantly (r=0.6; P=.031). At 12 months, 205 remained on treatment. The major causes of cognitive impairment were: (1) neurodegenerative (115/298, 38.6%), (2) structural brain lesions (63/298, 21.1%), (3) autoimmune (40/298, 13.4%), (4) schizophrenia (30/298, 10.1%), and (5) others (50/298, 16.8%). The comparison of the patient profiles, promoter versus all other clinical centers, showed significant increases in the diversity of causes and spectrums of ages and education. Over its first year, there was a major

  6. Collaborative Area Monitoring Using Wireless Sensor Networks with Stationary and Mobile Nodes

    Directory of Open Access Journals (Sweden)

    Theofanis P. Lambrou

    2009-01-01

    Full Text Available Monitoring a large area with stationary sensor networks requires a very large number of nodes which with current technology implies a prohibitive cost. The motivation of this work is to develop an architecture where a set of mobile sensors will collaborate with the stationary sensors in order to reliably detect and locate an event. The main idea of this collaborative architecture is that the mobile sensors should sample the areas that are least covered (monitored by the stationary sensors. Furthermore, when stationary sensors have a “suspicion” that an event may have occurred, they report it to a mobile sensor that can move closer to the suspected area and can confirm whether the event has occurred or not. An important component of the proposed architecture is that the mobile nodes autonomously decide their path based on local information (their own beliefs and measurements as well as information collected from the stationary sensors in a neighborhood around them. We believe that this approach is appropriate in the context of wireless sensor networks since it is not feasible to have an accurate global view of the state of the environment.

  7. Multifarious networks in climate change research: scientists, policy makers and the public

    OpenAIRE

    Delicado, Ana

    2011-01-01

    This paper explores the networks of collaborations that are formed in climate change research, both within the scientific community and with the political and social spheres. It draws on the case of climate change research in a particular national setting, Portugal.

  8. Factors that impact interdisciplinary natural science research collaboration in academia

    DEFF Research Database (Denmark)

    Maglaughlin, Kelly L.; Sonnenwald, Diane H.

    2005-01-01

    to provide a more comprehensive understanding of interdisciplinary scientific research collaboration within the natural sciences in academia. Data analysis confirmed factors previously identified in various literatures and yielded new factors. A total of twenty factors were identified, and classified......Interdisciplinary collaboration occurs when people with different educational and research backgrounds bring complementary skills to bear on a problem or task. The strength of interdisciplinary scientific research collaboration is its capacity to bring together diverse scientific knowledge...... to address complex problems and questions. However, interdisciplinary scientific research can be difficult to initiate and sustain. We do not yet fully understand factors that impact interdisciplinary scientific research collaboration. This study synthesizes empirical data from two empirical studies...

  9. International collaborations through the internet

    DEFF Research Database (Denmark)

    Olson, Gary M.; David, Paul A.; Eksteen, Johan

    2007-01-01

    The past decade has seen remarkable advances in the availability of tools to support scientific collaboration at a distance. This is especially good news for international collaborations, where in the past constraints on collocation and travel have made such collaborations a major challenge. The ...

  10. Learners' Perspectives on Networked Collaborative Interaction With Native Speakers of Spanish in the US

    Directory of Open Access Journals (Sweden)

    Lina Lee

    2004-01-01

    Full Text Available In this paper, I discuss a network-based collaborative project that focused on the learning conditions non-native speakers (NNSs of Spanish perceived to be necessary to satisfactoraly communicate with native speakers (NSs. Data from online discussions, end-of-semester surveys, and final oral interviews are presented and discussed. The results of this study demonstrated that the NNS and NS online collaboration promoted the scaffolding by which the NSs assisted the NNSs in composing meaning (ideas and form (grammar. In addition, the NNSs praised the unique learning condition of being exposed to a wide range of functional language discourse produced by the NSs. Students perceived that open-ended questions for two-way exchange were meaningful for them because they were encouraged to use specific vocabulary and structures during the discussions. In spite of the positive conditions and benefits created by networked collaborative interaction (NCI, it was found that there were some major issues that are crucial for NCI. This study demonstrates that learners' language proficiency, computer skills, and age differences are important factors to be considered when incorporating institutional NCI as these may linguistically and socially affect the quality of online negotiation and students' motivation toward NCI. Practical ideas for further research are suggested.

  11. Transnational Research Networks in Chinese Scientific Production. An Investigation on Health-Industry Related Sectors.

    Science.gov (United States)

    Rubini, Lauretta; Pollio, Chiara; Di Tommaso, Marco R

    2017-08-29

    Transnational research networks (TRN) are becoming increasingly complex. Such complexity may have both positive and negative effects on the quality of research. Our work studies the evolution over time of Chinese TRN and the role of complexity on the quality of Chinese research, given the leading role this country has recently acquired in international science. We focus on the fields of geriatrics and gerontology. We build an original dataset of all scientific publications of China in these areas in 2009, 2012 and 2015, starting from the ISI Web of Knowledge (ISI WoK) database. Using Social Network Analysis (SNA), we analyze the change in scientific network structure across time. Second, we design indices to control for the different aspects of networks complexity (number of authors, country heterogeneity and institutional heterogeneity) and we perform negative binomial regressions to identify the main determinants of research quality. Our analysis shows that research networks in the field of geriatrics and gerontology have gradually become wider in terms of countries and have become more balanced. Furthermore, our results identify that different forms of complexity have different impacts on quality, including a reciprocal moderating effect. In particular, according to our analysis, research quality benefits from complex research networks both in terms of countries and of types of institutions involved, but that such networks should be "compact" in terms of number of authors. Eventually, we suggest that complexity should be carefully taken into account when designing policies aimed at enhancing the quality of research.

  12. An Exploratory Analysis of Network Characteristics and Quality of Interactions among Public Health Collaboratives.

    Science.gov (United States)

    Varda, Danielle M; Retrum, Jessica H

    2012-06-15

    While the benefits of collaboration have become widely accepted and the practice of collaboration is growing within the public health system, a paucity of research exists that examines factors and mechanisms related to effective collaboration between public health and their partner organizations. The purpose of this paper is to address this gap by exploring the structural and organizational characteristics of public health collaboratives. Design and Methods. Using both social network analysis and traditional statistical methods, we conduct an exploratory secondary data analysis of 11 public health collaboratives chosen from across the United States. All collaboratives are part of the PARTNER (www.partnertool.net) database. We analyze data to identify relational patterns by exploring the structure (the way that organizations connect and exchange relationships), in relation to perceptions of value and trust, explanations for varying reports of success, and factors related to outcomes. We describe the characteristics of the collaboratives, types of resource contributions, outcomes of the collaboratives, perceptions of success, and reasons for success. We found high variation and significant differences within and between these collaboratives including perceptions of success. There were significant relationships among various factors such as resource contributions, reasons cited for success, and trust and value perceived by organizations. We find that although the unique structure of each collaborative makes it challenging to identify a specific set of factors to determine when a collaborative will be successful, the organizational characteristics and interorganizational dynamics do appear to impact outcomes. We recommend a quality improvement process that suggests matching assessment to goals and developing action steps for performance improvement. the authors would like to thank the Robert Wood Johnson Foundation's Public Health Program for funding for this research.

  13. Optimizing Supply Chain Collaboration Based on Agreement Buyer-Supplier Relationship with Network Design Problem

    Directory of Open Access Journals (Sweden)

    Wahyudi Sutopo

    2016-12-01

    Full Text Available In recent years, the rising competitive environment with shorter product life cycles and high customization forces industries to increase their flexibility, speed up their response, and enhance concurrent engineering designs. To integrate these prospects, supply chain collaboration becomes a pertinent strategy for industries to strengthen their competitiveness. The network design problem is used to implement supply chain collaboration. In the buying and selling process, sharing information between buyer and supplier are important to obtain a transaction decision. The optimimum supply chain profit can be identified by mathematical model of network design problem. The Mathematical Model takes into consideration the uncertainity in negotiation of supply chain, transportation problems, and locationallocation of products from supplier to buyer in the planning based on the time value of money. The results show that the model can be used to optimize the supply chain profit. The supplier gets a profit because income were received in the initial contract, while the buyer profit comes from lower pay.

  14. The PACA Project : Pro-Am Collaborative Astronomy

    Science.gov (United States)

    Yanamandra-Fisher, P. A.

    2014-04-01

    The Pro-Am Collaborative Astronomy (PACA) project is the next stage of evolution of the paradigm developed for the observational campaign of C/2012 S1 or C/ISON. Four different phases of collaboration are identified, and illustrate the integration of scientific investigations with amateur astronomer community via observations, and models; and the rapid dissemination of the results via a multitude of social media for rapid global access. The success of the paradigm shift in scientific research is now implemented in other comet observing campaigns. Both communities (scientific and amateur astronomers) benefit from these collective, collaborative partnerships; while outreach is the instantaneous deliverable that provides both a framework for future data analyses and the dissemination of the results. While PACA identifies a collaborative approach to pro-am collaborations, given the volume of data generated for each campaign, new ways of rapid data analysis, mining access and storage are needed.

  15. Finding a PATH toward Scientific Collaboration: Insights from the Columbia River Basin

    Directory of Open Access Journals (Sweden)

    David Marmorek

    2002-01-01

    Full Text Available Observed declines in the Snake River basin salmon stocks, listed under the U.S. Endangered Species Act (ESA, have been attributed to multiple causes: the hydrosystem, hatcheries, habitat, harvest, and ocean climate. Conflicting and competing analyses by different agencies led the National Marine Fisheries Service (NMFS in 1995 to create the Plan for Analyzing and Testing Hypotheses (PATH, a collaborative interagency analytical process. PATH included about 30 fisheries scientists from a dozen agencies, as well as independent participating scientists and a technical facilitation team. PATH had some successes and some failures in meeting its objectives. Some key lessons learned from these successes and failures were to: (1 build trust through independent technical facilitation and multiple levels of peer review (agency scientists, independent participating scientists and an external Scientific Review Panel; (2 clarify critical uncertainties by developing common data sets, detailed sensitivity analyses, and thorough retrospective analyses of the weight of evidence for key alternative hypotheses; (3 clarify advice to decision makers by using an integrated life cycle model and decision analysis framework to evaluate the robustness of potential recovery actions under alternative states of nature; (4 involve key senior scientists with access to decision makers; (5 work closely with policy makers to clearly communicate analyses in nontechnical terms and provide input into the creation of management alternatives; and (6 recognize the trade-off between collaboration and timely completion of assignments.

  16. Enabling distributed collaborative science

    DEFF Research Database (Denmark)

    Hudson, T.; Sonnenwald, Diane H.; Maglaughlin, K.

    2000-01-01

    To enable collaboration over distance, a collaborative environment that uses a specialized scientific instrument called a nanoManipulator is evaluated. The nanoManipulator incorporates visualization and force feedback technology to allow scientists to see, feel, and modify biological samples bein...

  17. Collaborative Image Coding and Transmission over Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Min Wu

    2007-01-01

    Full Text Available The imaging sensors are able to provide intuitive visual information for quick recognition and decision. However, imaging sensors usually generate vast amount of data. Therefore, processing and coding of image data collected in a sensor network for the purpose of energy efficient transmission poses a significant technical challenge. In particular, multiple sensors may be collecting similar visual information simultaneously. We propose in this paper a novel collaborative image coding and transmission scheme to minimize the energy for data transmission. First, we apply a shape matching method to coarsely register images to find out maximal overlap to exploit the spatial correlation between images acquired from neighboring sensors. For a given image sequence, we transmit background image only once. A lightweight and efficient background subtraction method is employed to detect targets. Only the regions of target and their spatial locations are transmitted to the monitoring center. The whole image can then be reconstructed by fusing the background and the target images as well as their spatial locations. Experimental results show that the energy for image transmission can indeed be greatly reduced with collaborative image coding and transmission.

  18. Medicine 2.0: social networking, collaboration, participation, apomediation, and openness.

    Science.gov (United States)

    Eysenbach, Gunther

    2008-08-25

    In a very significant development for eHealth, broad adoption of Web 2.0 technologies and approaches coincides with the more recent emergence of Personal Health Application Platforms and Personally Controlled Health Records such as Google Health, Microsoft HealthVault, and Dossia. "Medicine 2.0" applications, services and tools are defined as Web-based services for health care consumers, caregivers, patients, health professionals, and biomedical researchers, that use Web 2.0 technologies and/or semantic web and virtual reality approaches to enable and facilitate specifically 1) social networking, 2) participation, 3) apomediation, 4) openness and 5) collaboration, within and between these user groups. The Journal of Medical Internet Research (JMIR) publishes a Medicine 2.0 theme issue and sponsors a conference on "How Social Networking and Web 2.0 changes Health, Health Care, Medicine and Biomedical Research", to stimulate and encourage research in these five areas.

  19. Collaborative Economy

    DEFF Research Database (Denmark)

    collaborative economy and tourism Dianne Dredge and Szilvia Gyimóthy PART I - Theoretical explorations 2.Definitions and mapping the landscape in the collaborative economy Szilvia Gyimóthy and Dianne Dredge 3.Business models of the collaborative economy Szilvia Gyimóthy 4.Responsibility and care...... in the collaborative economy Dianne Dredge 5.Networked cultures in the collaborative economy Szilvia Gyimóthy 6.Policy and regulatory perspectives in the collaborative economy Dianne Dredge PART II - Disruptions, innovations and transformations 7.Regulating innovation in the collaborative economy: An examination...... localities of tourism Greg Richards 11.Collaborative economy and destination marketing organizations: A systems approach Jonathan Day 12.Working within the Collaborative Tourist Economy: The complex crafting of work and meaning Jane Widtfeldt Meged and Mathilde Dissing Christensen PART - III Encounters...

  20. Preparing undergraduates for the future of scientific collaboration: Benefits, challenges and technological solutions in Distributed REU Sites

    Science.gov (United States)

    Hubenthal, M.; Anagnos, T.

    2012-12-01

    As research problems increasingly require multi-disciplinary approaches they naturally foster scientific collaborations between geographically distributed colleagues. This increasing trend in scientific research, the rapid evolution of communication technology, cognitive research into distance education, and the current generation of undergraduate students' eagerness to embrace and use technology, increases the relevance of distributed REU sites. Like traditional REU sites that host a cohort of students in one geographic location, distributed REU sites also seek to attract, nurture, and retain students in a STEM career pipeline. Distributed REU sites are unique in that some or all of the interns are geographically distributed during the research period. This arrangement allows the REU site to capitalize on distributed scientific resources such as field sites, research facilities, or human capital. At their core, distributed REU sites are fundamentally constructed of elements that have proven to be effective components of any undergraduate research experience. They also strive to develop and employ specialized programming that leverages collaboration tools through a cyberinfrastructure to enable interns to develop meaningful social and academic relationships with one another. Since 2006 the IRIS Consortium and NEES have facilitated separate, NSF funded, distributed REU Sites. Implementation and evaluations of these programs have revealed a number of successes and benefits. Longitudinal tracking indicates that distributed REU Sites are at least as successful as traditional sites in attracting, nurturing, and retaining students in a STEM career pipeline. A distributed arrangement also offers benefits over a traditional REU site, such as the flexibility to place interns at a variety of institutions with mentors making only an annual commitment to participate. This ensures that all mentors are eager to participate and are concerned with their intern's growth. It also

  1. The Integrating Role of the LBA and the LPB Programs as an Example of Cyberinfrastructures in International Scientific Collaboration

    Science.gov (United States)

    Dias, P. L.

    2007-05-01

    International science collaboration is a key component of research programs such as the The Large Scale Biosphere Atmosphere Interaction Program (LBA) and the La Plata Basin Project (LPB). Both are programs with crosscutting science questions permeating different areas of knowledge related to the functioning of the natural and agricultural ecosystems in the Amazon system (LBA) and the change in the hydrological, agricultural and social systems of the Plata Basin (LPB) ecosystem under natural climatic variability and climate change. Both programs are strongly related to GEWEX, CLIVAR and IGBP and are based on extensive use of data information system (LBA/LPB/DIS) with mirror sites in the US, Europe and South America. These international programs have a significant impact in building up regional scientific capabilities at all levels of education and triggered the establishment of new research groups located in remote areas of South America. The cyberinfrastructure has been fundamental to promote the integration of the research groups, and a remarkable feedback with the operational forecasting systems has been detected. The LBA/LPB should be used as examples on how to promote international scientific and operational collaboration.

  2. Managing collaboration in the nanoManipulator

    DEFF Research Database (Denmark)

    Hudson, Thomas C.; Helser, Aren T.; Sonnenwald, Diane H.

    2004-01-01

    We designed, developed, deployed, and evaluated the Collaborative nanoManipulator (CnM), a distributed, collaborative virtual environment system supporting remote scientific collaboration between users of the nanoManipulator interface to atomic force microscopes. This paper describes the entire...

  3. ZIKA Virus and Neuroscience: the Need for a Translational Collaboration.

    Science.gov (United States)

    Schuler-Faccini, Lavínia; Roehe, Paulo; Zimmer, Eduardo R; Quincozes-Santos, André; de Assis, Adriano M; Lima, Elizabeth Obino Cirne; Guimarães, Jorge Almeida; Victora, Cesar; Neto, Vivaldo Moura; Souza, Diogo O

    2018-02-01

    Zika virus (ZIKV) has become a major challenge for scientists and health agencies. ZIKV's involvement with human fetal microcephaly and Guillain-Barré syndrome and its transmission through Aedes africanus and Aedes aegypti mosquitos highlighted the epidemiological and neurological risks associated to ZIKV infection. In 2013, ZIKV arrives in Brazil but the first outbreak in the country was reported in 2015. Here, we used the Web of Science as a search tool for comparing the evolution of world and Brazilian scientific research on dengue virus (DENV)-also present in mosquito-, ZIKV and microcephaly. The association between ZIKV and microcephaly was only evidenced in 2015. Interestingly, Brazil and the USA are the responsible for most of these reports. Furthermore, the level of double-counted articles indicates a high degree of international collaborative effort in studying ZIKV and microcephaly. The ZIKV research clearly requires multidisciplinary expertise including epidemiologic, clinical, virological, and neurochemical backgrounds. This letter intends to emphasize the need of multidisciplinary studies and put forward some as yet unanswered questions in attempting to contribute to the understanding of this multifaceted health problem. In line with this, we recently constituted a collaborative and multidisciplinary taskforce encompassing eight Brazilian scientific institutions of excellence, The ZIKV translational research taskforce. This taskforce comprises a vast international network of collaborators and welcomes additional collaborators. We intend to advance fast in terms of mechanisms, which can potentially contribute to treat or halt ZIKV spreading around the world.

  4. ASCR Science Network Requirements

    Energy Technology Data Exchange (ETDEWEB)

    Dart, Eli; Tierney, Brian

    2009-08-24

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2009 ESnet and the Office of Advanced Scientific Computing Research (ASCR), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by ASCR. The ASCR facilities anticipate significant increases in wide area bandwidth utilization, driven largely by the increased capabilities of computational resources and the wide scope of collaboration that is a hallmark of modern science. Many scientists move data sets between facilities for analysis, and in some cases (for example the Earth System Grid and the Open Science Grid), data distribution is an essential component of the use of ASCR facilities by scientists. Due to the projected growth in wide area data transfer needs, the ASCR supercomputer centers all expect to deploy and use 100 Gigabit per second networking technology for wide area connectivity as soon as that deployment is financially feasible. In addition to the network connectivity that ESnet provides, the ESnet Collaboration Services (ECS) are critical to several science communities. ESnet identity and trust services, such as the DOEGrids certificate authority, are widely used both by the supercomputer centers and by collaborations such as Open Science Grid (OSG) and the Earth System Grid (ESG). Ease of use is a key determinant of the scientific utility of network-based services. Therefore, a key enabling aspect for scientists beneficial use of high

  5. Developing advanced fingerprint attacks on challenge-based collaborative intrusion detection networks

    DEFF Research Database (Denmark)

    Li, Wenjuan; Meng, Weizhi; Kwok, Lam-For

    2017-01-01

    Traditionally, an isolated intrusion detection system (IDS) is vulnerable to various types of attacks. In order to enhance IDS performance, collaborative intrusion detection networks (CIDNs) are developed through enabling a set of IDS nodes to communicate with each other. Due to the distributed...... network architecture, insider attacks are one of the major threats. In the literature, challenge-based trust mechanisms have been built to identify malicious nodes by evaluating the satisfaction levels between challenges and responses. However, such mechanisms rely on two major assumptions, which may...... result in a weak threat model. In this case, CIDNs may be still vulnerable to advanced insider attacks in real-world deployment. In this paper, we propose a novel collusion attack, called passive message fingerprint attack (PMFA), which can collect messages and identify normal requests in a passive way...

  6. Science Information Programs: The Argentine Telex Network for Scientific and Technical Information.

    Science.gov (United States)

    National Academy of Sciences, Washington, DC.

    This document reports on two projects jointly sponsored by the National Academy of Science (NAS) (USA) and the Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) (ARGENTINA). The first is the creation of a telex network for scientific libraries and documentation centers in Argentina, designed to improve access to, and delivery…

  7. On the Compliance of Women Engineers with a Gendered Scientific System.

    Directory of Open Access Journals (Sweden)

    Gita Ghiasi

    Full Text Available There has been considerable effort in the last decade to increase the participation of women in engineering through various policies. However, there has been little empirical research on gender disparities in engineering which help underpin the effective preparation, co-ordination, and implementation of the science and technology (S&T policies. This article aims to present a comprehensive gendered analysis of engineering publications across different specialties and provide a cross-gender analysis of research output and scientific impact of engineering researchers in academic, governmental, and industrial sectors. For this purpose, 679,338 engineering articles published from 2008 to 2013 are extracted from the Web of Science database and 974,837 authorships are analyzed. The structures of co-authorship collaboration networks in different engineering disciplines are examined, highlighting the role of female scientists in the diffusion of knowledge. The findings reveal that men dominate 80% of all the scientific production in engineering. Women engineers publish their papers in journals with higher Impact Factors than their male peers, but their work receives lower recognition (fewer citations from the scientific community. Engineers-regardless of their gender-contribute to the reproduction of the male-dominated scientific structures through forming and repeating their collaborations predominantly with men. The results of this study call for integration of data driven gender-related policies in existing S&T discourse.

  8. On the Compliance of Women Engineers with a Gendered Scientific System.

    Science.gov (United States)

    Ghiasi, Gita; Larivière, Vincent; Sugimoto, Cassidy R

    2015-01-01

    There has been considerable effort in the last decade to increase the participation of women in engineering through various policies. However, there has been little empirical research on gender disparities in engineering which help underpin the effective preparation, co-ordination, and implementation of the science and technology (S&T) policies. This article aims to present a comprehensive gendered analysis of engineering publications across different specialties and provide a cross-gender analysis of research output and scientific impact of engineering researchers in academic, governmental, and industrial sectors. For this purpose, 679,338 engineering articles published from 2008 to 2013 are extracted from the Web of Science database and 974,837 authorships are analyzed. The structures of co-authorship collaboration networks in different engineering disciplines are examined, highlighting the role of female scientists in the diffusion of knowledge. The findings reveal that men dominate 80% of all the scientific production in engineering. Women engineers publish their papers in journals with higher Impact Factors than their male peers, but their work receives lower recognition (fewer citations) from the scientific community. Engineers-regardless of their gender-contribute to the reproduction of the male-dominated scientific structures through forming and repeating their collaborations predominantly with men. The results of this study call for integration of data driven gender-related policies in existing S&T discourse.

  9. Thirty years of European Collaboration in R&D: a Search for Key Network Indicators

    Energy Technology Data Exchange (ETDEWEB)

    Caloghirou, Y.; Protogerou, A.; Siokas, E.

    2016-07-01

    The purpose of this session is to present a coherent set of papers offering useful insights on research priority setting processes/activities and indicators used to measure the impact of research and technology development programmes in Europe and Emerging Economies (Brazil, Chile, Peru and Russia). In particular, the first paper focuses on the research collaborative networks funded by the European Union during the past three decades and offers a comprehensive picture of science-industry collaboration in Europe by using network indicators and providing data on the characteristics and the innovative performance of young firms participating in these networks. The second paper presents three cases of non-traditional indicators for R&D funding agencies from emerging economies and aims at contributing to the discussions on the importance of employing suitable indicators that can complement classic STI indicators. The third paper seeks to provide a critical overview of the recent exercise in the evaluation of public research institutions in Russia. The session aims at bringing together researchers from both developed and emerging countries as well as policy makers and will be divided into two parts . The first part will be devoted in papers’ presentation and the second one in papers’ discussion by invited policy experts and officials. (Author)

  10. Transnational Research Networks in Chinese Scientific Production. An Investigation on Health-Industry Related Sectors

    Directory of Open Access Journals (Sweden)

    Lauretta Rubini

    2017-08-01

    Full Text Available Transnational research networks (TRN are becoming increasingly complex. Such complexity may have both positive and negative effects on the quality of research. Our work studies the evolution over time of Chinese TRN and the role of complexity on the quality of Chinese research, given the leading role this country has recently acquired in international science. We focus on the fields of geriatrics and gerontology. We build an original dataset of all scientific publications of China in these areas in 2009, 2012 and 2015, starting from the ISI Web of Knowledge (ISI WoK database. Using Social Network Analysis (SNA, we analyze the change in scientific network structure across time. Second, we design indices to control for the different aspects of networks complexity (number of authors, country heterogeneity and institutional heterogeneity and we perform negative binomial regressions to identify the main determinants of research quality. Our analysis shows that research networks in the field of geriatrics and gerontology have gradually become wider in terms of countries and have become more balanced. Furthermore, our results identify that different forms of complexity have different impacts on quality, including a reciprocal moderating effect. In particular, according to our analysis, research quality benefits from complex research networks both in terms of countries and of types of institutions involved, but that such networks should be “compact” in terms of number of authors. Eventually, we suggest that complexity should be carefully taken into account when designing policies aimed at enhancing the quality of research.

  11. Evaluating research and impact: a bibliometric analysis of research by the NIH/NIAID HIV/AIDS clinical trials networks.

    Directory of Open Access Journals (Sweden)

    Scott R Rosas

    2011-03-01

    Full Text Available Evaluative bibliometrics uses advanced techniques to assess the impact of scholarly work in the context of other scientific work and usually compares the relative scientific contributions of research groups or institutions. Using publications from the National Institute of Allergy and Infectious Diseases (NIAID HIV/AIDS extramural clinical trials networks, we assessed the presence, performance, and impact of papers published in 2006-2008. Through this approach, we sought to expand traditional bibliometric analyses beyond citation counts to include normative comparisons across journals and fields, visualization of co-authorship across the networks, and assess the inclusion of publications in reviews and syntheses. Specifically, we examined the research output of the networks in terms of the a presence of papers in the scientific journal hierarchy ranked on the basis of journal influence measures, b performance of publications on traditional bibliometric measures, and c impact of publications in comparisons with similar publications worldwide, adjusted for journals and fields. We also examined collaboration and interdisciplinarity across the initiative, through network analysis and modeling of co-authorship patterns. Finally, we explored the uptake of network produced publications in research reviews and syntheses. Overall, the results suggest the networks are producing highly recognized work, engaging in extensive interdisciplinary collaborations, and having an impact across several areas of HIV-related science. The strengths and limitations of the approach for evaluation and monitoring research initiatives are discussed.

  12. The ESA Hubble 15th Anniversary Campaign: A Trans-European collaboration project

    Science.gov (United States)

    Zoulias, Manolis; Christensen, Lars Lindberg; Kornmesser, Martin

    2006-08-01

    On April 24th 2005, NASA/ESA Hubble Space Telescope had been in orbit for 15 years. The anniversary was celebrated by ESA with the production of an 83 min. scientific movie and a 120 pages book, both titled ``Hubble, 15 years of discovery''. In order to cross language and distribution barriers a network of 16 translators and 22 partners from more than 10 countries was established. The DVD was distributed in approximately 700,000 copies throughout Europe. The project was amongst the largest of its kind with respect to collaboration, distribution and audience impact. It clearly demonstrated how international collaboration can produce effective cross-cultural educational and outreach products for astronomy.

  13. Heterogeneous collaborative sensor network for electrical management of an automated house with PV energy.

    Science.gov (United States)

    Castillo-Cagigal, Manuel; Matallanas, Eduardo; Gutiérrez, Alvaro; Monasterio-Huelin, Félix; Caamaño-Martín, Estefaná; Masa-Bote, Daniel; Jiménez-Leube, Javier

    2011-01-01

    In this paper we present a heterogeneous collaborative sensor network for electrical management in the residential sector. Improving demand-side management is very important in distributed energy generation applications. Sensing and control are the foundations of the "Smart Grid" which is the future of large-scale energy management. The system presented in this paper has been developed on a self-sufficient solar house called "MagicBox" equipped with grid connection, PV generation, lead-acid batteries, controllable appliances and smart metering. Therefore, there is a large number of energy variables to be monitored that allow us to precisely manage the energy performance of the house by means of collaborative sensors. The experimental results, performed on a real house, demonstrate the feasibility of the proposed collaborative system to reduce the consumption of electrical power and to increase energy efficiency.

  14. Heterogeneous Collaborative Sensor Network for Electrical Management of an Automated House with PV Energy

    Directory of Open Access Journals (Sweden)

    Javier Jiménez-Leube

    2011-12-01

    Full Text Available In this paper we present a heterogeneous collaborative sensor network for electrical management in the residential sector. Improving demand-side management is very important in distributed energy generation applications. Sensing and control are the foundations of the “Smart Grid” which is the future of large-scale energy management. The system presented in this paper has been developed on a self-sufficient solar house called “MagicBox” equipped with grid connection, PV generation, lead-acid batteries, controllable appliances and smart metering. Therefore, there is a large number of energy variables to be monitored that allow us to precisely manage the energy performance of the house by means of collaborative sensors. The experimental results, performed on a real house, demonstrate the feasibility of the proposed collaborative system to reduce the consumption of electrical power and to increase energy efficiency.

  15. Heterogeneous Collaborative Sensor Network for Electrical Management of an Automated House with PV Energy

    Science.gov (United States)

    Castillo-Cagigal, Manuel; Matallanas, Eduardo; Gutiérrez, Álvaro; Monasterio-Huelin, Félix; Caamaño-Martín, Estefaná; Masa-Bote, Daniel; Jiménez-Leube, Javier

    2011-01-01

    In this paper we present a heterogeneous collaborative sensor network for electrical management in the residential sector. Improving demand-side management is very important in distributed energy generation applications. Sensing and control are the foundations of the “Smart Grid” which is the future of large-scale energy management. The system presented in this paper has been developed on a self-sufficient solar house called “MagicBox” equipped with grid connection, PV generation, lead-acid batteries, controllable appliances and smart metering. Therefore, there is a large number of energy variables to be monitored that allow us to precisely manage the energy performance of the house by means of collaborative sensors. The experimental results, performed on a real house, demonstrate the feasibility of the proposed collaborative system to reduce the consumption of electrical power and to increase energy efficiency. PMID:22247680

  16. Belle-II Experiment Network Requirements

    Energy Technology Data Exchange (ETDEWEB)

    Asner, David [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Bell, Greg [ESnet; Carlson, Tim [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Cowley, David [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Dart, Eli [ESnet; Erwin, Brock [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Godang, Romulus [Univ. of South Alabama, Mobile, AL (United States); Hara, Takanori [High Energy Accelerator Research Organization (KEK), Tsukuba (Japan); Johnson, Jerry [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Johnson, Ron [Univ. of Washington, Seattle, WA (United States); Johnston, Bill [ESnet; Dam, Kerstin Kleese-van [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Kaneko, Toshiaki [High Energy Accelerator Research Organization (KEK), Tsukuba (Japan); Kubota, Yoshihiro [NII; Kuhr, Thomas [Karlsruhe Inst. of Technology (KIT) (Germany); McCoy, John [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Miyake, Hideki [High Energy Accelerator Research Organization (KEK), Tsukuba (Japan); Monga, Inder [ESnet; Nakamura, Motonori [NII; Piilonen, Leo [Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States); Pordes, Ruth [Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Ray, Douglas [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Russell, Richard [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Schram, Malachi [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Schroeder, Jim [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Sevior, Martin [Univ. of Melbourne (Australia); Singh, Surya [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Suzuki, Soh [High Energy Accelerator Research Organization (KEK), Tsukuba (Japan); Sasaki, Takashi [High Energy Accelerator Research Organization (KEK), Tsukuba (Japan); Williams, Jim [Indiana Univ., Bloomington, IN (United States)

    2013-05-28

    The Belle experiment, part of a broad-based search for new physics, is a collaboration of ~400 physicists from 55 institutions across four continents. The Belle detector is located at the KEKB accelerator in Tsukuba, Japan. The Belle detector was operated at the asymmetric electron-positron collider KEKB from 1999-2010. The detector accumulated more than 1 ab-1 of integrated luminosity, corresponding to more than 2 PB of data near 10 GeV center-of-mass energy. Recently, KEK has initiated a $400 million accelerator upgrade to be called SuperKEKB, designed to produce instantaneous and integrated luminosity two orders of magnitude greater than KEKB. The new international collaboration at SuperKEKB is called Belle II. The first data from Belle II/SuperKEKB is expected in 2015. In October 2012, senior members of the Belle-II collaboration gathered at PNNL to discuss the computing and neworking requirements of the Belle-II experiment with ESnet staff and other computing and networking experts. The day-and-a-half-long workshop characterized the instruments and facilities used in the experiment, the process of science for Belle-II, and the computing and networking equipment and configuration requirements to realize the full scientific potential of the collaboration's work.

  17. Investigating the Influence of Special On–Off Attacks on Challenge-Based Collaborative Intrusion Detection Networks

    Directory of Open Access Journals (Sweden)

    Wenjuan Li

    2018-01-01

    Full Text Available Intrusions are becoming more complicated with the recent development of adversarial techniques. To boost the detection accuracy of a separate intrusion detector, the collaborative intrusion detection network (CIDN has thus been developed by allowing intrusion detection system (IDS nodes to exchange data with each other. Insider attacks are a great threat for such types of collaborative networks, where an attacker has the authorized access within the network. In literature, a challenge-based trust mechanism is effective at identifying malicious nodes by sending challenges. However, such mechanisms are heavily dependent on two assumptions, which would cause CIDNs to be vulnerable to advanced insider attacks in practice. In this work, we investigate the influence of advanced on–off attacks on challenge-based CIDNs, which can respond truthfully to one IDS node but behave maliciously to another IDS node. To evaluate the attack performance, we have conducted two experiments under a simulated and a real CIDN environment. The obtained results demonstrate that our designed attack is able to compromise the robustness of challenge-based CIDNs in practice; that is, some malicious nodes can behave untruthfully without a timely detection.

  18. The North Texas aerospace manufacturing and aviation industries: An explanatory case study of school-to-work collaborative networks

    Science.gov (United States)

    Miller, Cynthia Ann

    The purpose of this study is to explore how educators, business partners and facilitators developed ties or networks to initiate a school-to-work collaboration to prepare students for jobs and careers in the aerospace manufacturing and aviation industries. There is growing concern about preparing a future workforce supply in these industries in North Texas. Workforce projections call for 8000 additional jobs between 2010 and 2020 (North Central Texas Council of Governments, 2013). Collaboration is recognized as a valuable asset to connect disjointed segments within the K-16 trajectory. This study explores the contradiction between the stated need for collaborative strategies and the inability of stakeholders attempting to collaborate across organizational and institutional boundaries to sustain these connections. Through the lens of networking theory, the roles of facilitators and the operation of networks and ties between and among partners are investigated. Ten participants in a high school curriculum development project were interviewed, representing a business, community college, and K-12 education. Data analysis revealed findings associated with three major themes: facilitation, project activity and relationships. Nine individuals were identified as facilitators, and facilitators were perceived as helping the project move forward. Project activity benefited from the structured curriculum development process. Although relationships characterized by strong ties helped start the project, weak ties predominated among project participants. Implications for theory include the need for more knowledge about facilitator roles and group dynamics. Further research about the functioning of weak and strong ties and facilitator skill sets relating to collaborative leadership would be valuable. Implications for practice include capturing lessons learned to apply to other industries, and overtly acknowledging the existence and importance of facilitators.

  19. SYSTEMS FOR SUPPORT OF COLLABORATIVE STUDIES IN THE COLLA ENVIRONMENT BASED ON THE EVENT BUSH METHOD

    Directory of Open Access Journals (Sweden)

    P. Diviacco

    2014-09-01

    Full Text Available Problem statement. Conventional tools of online communication in global networks for support of scientific and research projects fail to handle specific issues that arise at scientific collaboration of different scientific schools. They cannot be used to bring together the knowledge relating to the same field but generated in various scientific schools, under different paradigms and on different conceptual grounds. Existing software solutions, both synchronous (e.g., Webex or ShowDocument and asynchronous (Zimbra, Google Docs and others are efficient only when the users share similar understanding of the context and do not bring their own non-formalized meanings in it. Meanwhile, a tool is needed for scientific cooperation that makes it possible to bring one’s own meanings and relate them to the common context.

  20. Social network and decision-making in primates: a report on Franco-Japanese research collaborations.

    Science.gov (United States)

    Sueur, Cédric; Pelé, Marie

    2016-07-01

    Sociality is suggested to evolve as a strategy for animals to cope with challenges in their environment. Within a population, each individual can be seen as part of a network of social interactions that vary in strength, type and dynamics (Sueur et al. 2011a). The structure of this social network can strongly impact upon not only on the fitness of individuals and their decision-making, but also on the ecology of populations and the evolution of a species. Our Franco-Japanese collaboration allowed us to study social networks in several species (Japanese macaques, chimpanzees, colobines, etc.) and on different topics (social epidemiology, social evolution, information transmission). Individual attributes such as stress, rank or age can affect how individuals take decisions and the structure of the social network. This heterogeneity is linked to the assortativity of individuals and to the efficiency of the flow within a network. It is important, therefore, that this heterogeneity is integrated in the process or pattern under study in order to provide a better resolution of investigation and, ultimately, a better understanding of behavioural strategies, social dynamics and social evolution. How social information affects decision-making could be important to understand how social groups make collective decisions and how information may spread throughout the social group. In human beings, road-crossing behaviours in the presence of other individuals is a good way to study the influence of social information on individual behaviour and decision-making, for instance. Culture directly affects which information - personal vs social - individuals prefer to follow. Our collaboration contributed to the understanding of the relative influence of different factors, cultural and ecological, on primate, including human, sociality.

  1. Characterizing the Networks of Digital Information that Support Collaborative Adaptive Forest Management in Sierra Nevada Forests

    Science.gov (United States)

    Lei, Shufei; Iles, Alastair; Kelly, Maggi

    2015-07-01

    Some of the factors that can contribute to the success of collaborative adaptive management—such as social learning, open communication, and trust—are built upon a foundation of the open exchange of information about science and management between participants and the public. Despite the importance of information transparency, the use and flow of information in collaborative adaptive management has not been characterized in detail in the literature, and currently there exist opportunities to develop strategies for increasing the exchange of information, as well as to track information flow in such contexts. As digital information channels and networks have been increased over the last decade, powerful new information monitoring tools have also been evolved allowing for the complete characterization of information products through their production, transport, use, and monitoring. This study uses these tools to investigate the use of various science and management information products in a case study—the Sierra Nevada Adaptive Management Project—using a mixed method (citation analysis, web analytics, and content analysis) research approach borrowed from the information processing and management field. The results from our case study show that information technologies greatly facilitate the flow and use of digital information, leading to multiparty collaborations such as knowledge transfer and public participation in science research. We conclude with recommendations for expanding information exchange in collaborative adaptive management by taking advantage of available information technologies and networks.

  2. Characterizing the Networks of Digital Information that Support Collaborative Adaptive Forest Management in Sierra Nevada Forests.

    Science.gov (United States)

    Lei, Shufei; Iles, Alastair; Kelly, Maggi

    2015-07-01

    Some of the factors that can contribute to the success of collaborative adaptive management--such as social learning, open communication, and trust--are built upon a foundation of the open exchange of information about science and management between participants and the public. Despite the importance of information transparency, the use and flow of information in collaborative adaptive management has not been characterized in detail in the literature, and currently there exist opportunities to develop strategies for increasing the exchange of information, as well as to track information flow in such contexts. As digital information channels and networks have been increased over the last decade, powerful new information monitoring tools have also been evolved allowing for the complete characterization of information products through their production, transport, use, and monitoring. This study uses these tools to investigate the use of various science and management information products in a case study--the Sierra Nevada Adaptive Management Project--using a mixed method (citation analysis, web analytics, and content analysis) research approach borrowed from the information processing and management field. The results from our case study show that information technologies greatly facilitate the flow and use of digital information, leading to multiparty collaborations such as knowledge transfer and public participation in science research. We conclude with recommendations for expanding information exchange in collaborative adaptive management by taking advantage of available information technologies and networks.

  3. Opening the black box of quality improvement collaboratives: an Actor-Network theory approach

    Directory of Open Access Journals (Sweden)

    Broer Tineke

    2010-09-01

    Full Text Available Abstract Background Quality improvement collaboratives are often labeled as black boxes because effect studies usually do not describe exactly how the results were obtained. In this article we propose a way of opening such a black box, by taking up a dynamic perspective based on Actor-Network Theory. We thereby analyze how the problematisation process and the measurement practices are constructed. Findings from this analysis may have consequences for future evaluation studies of collaboratives. Methods In an ethnographic design we probed two projects within a larger quality improvement collaborative on long term mental health care and care for the intellectually disabled. Ethnographic observations were made at nine national conferences. Furthermore we conducted six case studies involving participating teams. Additionally, we interviewed the two program leaders of the overall projects. Results In one project the problematisation seemed to undergo a shift of focus away from the one suggested by the project leaders. In the other we observed multiple roles of the measurement instrument used. The instrument did not only measure effects of the improvement actions but also changed these actions and affected the actors involved. Conclusions Effectiveness statistics ideally should be complemented with an analysis of the construction of the collaborative and the improvement practices. Effect studies of collaboratives could benefit from a mixed methods research design that combines quantitative and qualitative methods.

  4. Robust client/server shared state interactions of collaborative process with system crash and network failures

    NARCIS (Netherlands)

    Wang, Lei; Wombacher, Andreas; Ferreira Pires, Luis; van Sinderen, Marten J.; Chi, Chihung

    With the possibility of system crashes and network failures, the design of robust client/server interactions for collaborative process execution is a challenge. If a business process changes state, it sends messages to relevant processes to inform about this change. However, server crashes and

  5. Enhancing Scientific Collaboration, Transparency, and Public Access: Utilizing the Second Life Platform to Convene a Scientific Conference in 3-D Virtual Space

    Science.gov (United States)

    McGee, B. W.

    2006-12-01

    uprecedented opportunity to witness an example of scientific collaboration typically reserved for members of a particular field or focus group. With a minimal investment in advertising or promotion both in real and virtual space, the possibility exists for scientific information and interaction to reach a far broader audience through Second Life than with any other currently available means for comparable cost.

  6. Three is a crowd? On the benefits of involving contract manufacturers in collaborative planning for Three-Echelon Supply Networks

    NARCIS (Netherlands)

    Akkermans, H.A.; van Oorschot, K.E.; Peeters, W.; Choi, T-M.; Cheng, T.C.E.

    2011-01-01

    In today’s network economy, multi-echelon supply networks have become the dominant life form. The question of how to coordinate goods flows in such multi-echelon settings has become paramount. This study investigates the effectiveness of collaboration and information sharing in a three-echelon

  7. Measuring social networks in British primary schools through scientific engagement

    Science.gov (United States)

    Conlan, A. J. K.; Eames, K. T. D.; Gage, J. A.; von Kirchbach, J. C.; Ross, J. V.; Saenz, R. A.; Gog, J. R.

    2011-01-01

    Primary schools constitute a key risk group for the transmission of infectious diseases, concentrating great numbers of immunologically naive individuals at high densities. Despite this, very little is known about the social patterns of mixing within a school, which are likely to contribute to disease transmission. In this study, we present a novel approach where scientific engagement was used as a tool to access school populations and measure social networks between young (4–11 years) children. By embedding our research project within enrichment activities to older secondary school (13–15) children, we could exploit the existing links between schools to achieve a high response rate for our study population (around 90% in most schools). Social contacts of primary school children were measured through self-reporting based on a questionnaire design, and analysed using the techniques of social network analysis. We find evidence of marked social structure and gender assortativity within and between classrooms in the same school. These patterns have been previously reported in smaller studies, but to our knowledge no study has attempted to exhaustively sample entire school populations. Our innovative approach facilitates access to a vitally important (but difficult to sample) epidemiological sub-group. It provides a model whereby scientific communication can be used to enhance, rather than merely complement, the outcomes of research. PMID:21047859

  8. Academic Video in the Portuguese High Education Network: the EDUCast@fccn project

    OpenAIRE

    Martins, Samuel; Ribeiro, Hugo; Ribeiro, Rui; Dias, Nelson

    2013-01-01

    Since 2010 it was developed an innovative partnership initiated by the Portuguese Foundation for National Scientific Computing (FCCN), by SWITCH (the institution that manages the Swiss Network Technology Research and Education) and the University of Porto (U.Porto). These three European institutions have developed a work of exploration and discussion under the auspices of TERENA (Trans-European Research and Education Networking) during the various forums for collaboration, innovation and know...

  9. Collaborative Economy

    DEFF Research Database (Denmark)

    that are emerging from them, and how governments are responding to these new challenges. In doing so, the book provides both theoretical and practical insights into the future of tourism in a world that is, paradoxically, becoming both increasingly collaborative and individualized. Table of Contents Preface 1.The...... collaborative economy and tourism Dianne Dredge and Szilvia Gyimóthy PART I - Theoretical explorations 2.Definitions and mapping the landscape in the collaborative economy Szilvia Gyimóthy and Dianne Dredge 3.Business models of the collaborative economy Szilvia Gyimóthy 4.Responsibility and care...... in the collaborative economy Dianne Dredge 5.Networked cultures in the collaborative economy Szilvia Gyimóthy 6.Policy and regulatory perspectives in the collaborative economy Dianne Dredge PART II - Disruptions, innovations and transformations 7.Regulating innovation in the collaborative economy: An examination...

  10. RMS: a platform for managing cross-disciplinary and multi-institutional research project collaboration.

    Science.gov (United States)

    Luo, Jake; Apperson-Hansen, Carolyn; Pelfrey, Clara M; Zhang, Guo-Qiang

    2014-11-30

    Cross-institutional cross-disciplinary collaboration has become a trend as researchers move toward building more productive and innovative teams for scientific research. Research collaboration is significantly changing the organizational structure and strategies used in the clinical and translational science domain. However, due to the obstacles of diverse administrative structures, differences in area of expertise, and communication barriers, establishing and managing a cross-institutional research project is still a challenging task. We address these challenges by creating an integrated informatics platform to reduce the barriers to biomedical research collaboration. The Request Management System (RMS) is an informatics infrastructure designed to transform a patchwork of expertise and resources into an integrated support network. The RMS facilitates investigators' initiation of new collaborative projects and supports the management of the collaboration process. In RMS, experts and their knowledge areas are categorized and managed structurally to provide consistent service. A role-based collaborative workflow is tightly integrated with domain experts and services to streamline and monitor the life-cycle of a research project. The RMS has so far tracked over 1,500 investigators with over 4,800 tasks. The research network based on the data collected in RMS illustrated that the investigators' collaborative projects increased close to 3 times from 2009 to 2012. Our experience with RMS indicates that the platform reduces barriers for cross-institutional collaboration of biomedical research projects. Building a new generation of infrastructure to enhance cross-disciplinary and multi-institutional collaboration has become an important yet challenging task. In this paper, we share the experience of developing and utilizing a collaborative project management system. The results of this study demonstrate that a web-based integrated informatics platform can facilitate and

  11. Collaboration in Action: Measuring and Improving Contracting Performance in the University of California Contracting Network

    Science.gov (United States)

    Tran, Tam; Bowman-Carpio, LeeAnna; Buscher, Nate; Davidson, Pamela; Ford, Jennifer J.; Jenkins, Erick; Kalay, Hillary Noll; Nakazono, Terry; Orescan, Helene; Sak, Rachael; Shin, Irene

    2017-01-01

    In 2013, the University of California, Biomedical Research, Acceleration, Integration, and Development (UC BRAID) convened a regional network of contracting directors from the five University of California (UC) health campuses to: (i) increase collaboration, (ii) operationalize and measure common metrics as a basis for performance improvement…

  12. Green collaboration in cognitive radio cellular networks with roaming and spectrum trading

    KAUST Repository

    Sboui, Lokman

    2015-08-30

    In this paper, we propose a new cognitive cellular network architecture based on the coexistence of primary and secondary networks, (PN) and (SN), respectively. The PN aims to minimize its energy consumption by switching off the maximum number of its BSs and offloading its users to the SN\\'s infrastructure to maintain its QoS. In return, the PN pays a roaming price and permits the SN to share or lease the spectrum at a certain price. We propose a low-complexity algorithm allowing the PN to minimize its energy consumption by selecting a suboptimal combination of active base stations. Our algorithm also optimizes the resource allocation of the SN to maximize its total sum-rate while respecting the minimal profit constraints for both networks. In the numerical results, we show that our proposed algorithm achieves close performances to the optimal exhaustive search algorithm. In addition, we investigate the impact of various system parameters in the collaboration decision.

  13. FROM BRAIN DRAIN TO BRAIN NETWORKING

    Directory of Open Access Journals (Sweden)

    Irina BONCEA

    2015-06-01

    Full Text Available Scientific networking is the most accessible way a country can turn the brain drain into brain gain. Diaspora’s members offer valuable information, advice or financial support from the destination country, without being necessary to return. This article aims to investigate Romania’s potential of turning brain drain into brain networking, using evidence from the medical sector. The main factors influencing the collaboration with the country of origin are investigated. The conclusions suggest that Romania could benefit from the diaspora option, through an active implication at institutional level and the implementation of a strategy in this area.

  14. The evolution of your success lies at the centre of your co-authorship network.

    Directory of Open Access Journals (Sweden)

    Sandra Servia-Rodríguez

    Full Text Available Collaboration among scholars and institutions is progressively becoming essential to the success of research grant procurement and to allow the emergence and evolution of scientific disciplines. Our work focuses on analysing if the volume of collaborations of one author together with the relevance of his collaborators is somewhat related to his research performance over time. In order to prove this relation we collected the temporal distributions of scholars' publications and citations from the Google Scholar platform and the co-authorship network (of Computer Scientists underlying the well-known DBLP bibliographic database. By the application of time series clustering, social network analysis and non-parametric statistics, we observe that scholars with similar publications (citations patterns also tend to have a similar centrality in the co-authorship network. To our knowledge, this is the first work that considers success evolution with respect to co-authorship.

  15. Visualization analysis of author collaborations in schizophrenia research

    OpenAIRE

    Wu, Ying; Duan, Zhiguang

    2015-01-01

    Background Schizophrenia is a serious mental illness that levies a heavy medical toll and cost burden throughout the world. Scientific collaborations are necessary for progress in psychiatric research. However, there have been few publications on scientific collaborations in schizophrenia. The aim of this study was to investigate the extent of author collaborations in schizophrenia research. Methods This study used 58,107 records on schizophrenia from 2003 to 2012 which were downloaded from S...

  16. XD Metrics on Demand Value Analytics: Visualizing the Impact of Internal Information Technology Investments on External Funding, Publications, and Collaboration Networks

    Directory of Open Access Journals (Sweden)

    Olga Scrivner

    2018-01-01

    Full Text Available Many universities invest substantial resources in the design, deployment, and maintenance of campus-based cyberinfrastructure (CI. To justify the expense, it is important that university administrators and others understand and communicate the value of these internal investments in terms of scholarly impact. This paper introduces two visualizations and their usage in the Value Analytics (VA module for Open XD metrics on demand (XDMoD, which enable analysis of external grant funding income, scholarly publications, and collaboration networks. The VA module was developed by Indiana University’s (IU Research Technologies division, Pervasive Technology Institute, and the CI for Network Science Center (CNS, in conjunction with the University at Buffalo’s Center for Computational Research. It provides diverse visualizations of measures of information technology (IT usage, external funding, and publications in support of IT strategic decision-making. This paper details the data, analysis workflows, and visual mappings used in two VA visualizations that aim to communicate the value of different IT usage in terms of NSF and NIH funding, resulting publications, and associated research collaborations. To illustrate the feasibility of measuring IT values on research, we measured its financial and academic impact from the period between 2012 and 2017 for IU. The financial return on investment (ROI is measured in terms of IU funding, totaling $339,013,365 for 885 NIH and NSF projects associated with IT usage, and the academic ROI constitutes 968 publications associated with 83 of these NSF and NIH awards. In addition, the results show that Medical Specialties, Brain Research, and Infectious Diseases are the top three scientific disciplines ranked by the number of publications during the given time period.

  17. The collaborative tokamak control room

    International Nuclear Information System (INIS)

    Schissel, D.P.

    2006-01-01

    Magnetic fusion experiments keep growing in size and complexity resulting in a concurrent growth in collaborations between experimental sites and laboratories worldwide. In the US, the National Fusion Collaboratory Project is developing a persistent infrastructure to enable scientific collaboration for all aspects of magnetic fusion energy research by creating a robust, user-friendly collaborative environment and deploying this to the more than 1000 US fusion scientists in 40 institutions who perform magnetic fusion research. This paper reports on one aspect of the project which is the development of the collaborative tokamak control room to enhance both collocated and remote scientific participation in experimental operations. This work includes secured computational services that can be scheduled as required, the ability to rapidly compare experimental data with simulation results, a means to easily share individual results with the group by moving application windows to a shared display, and the ability for remote scientists to be fully engaged in experimental operations through shared audio, video, and applications. The project is funded by the USDOE Office of Science, Scientific Discovery through Advanced Computing (SciDAC) Program and unites fusion and computer science researchers to directly address these challenges

  18. Use of scientific social networking to improve the research strategies of PubMed readers.

    Science.gov (United States)

    Evdokimov, Pavel; Kudryavtsev, Alexey; Ilgisonis, Ekaterina; Ponomarenko, Elena; Lisitsa, Andrey

    2016-02-18

    Keeping up with journal articles on a daily basis is an important activity of scientists engaged in biomedical research. Usually, journal articles and papers in the field of biomedicine are accessed through the Medline/PubMed electronic library. In the process of navigating PubMed, researchers unknowingly generate user-specific reading profiles that can be shared within a social networking environment. This paper examines the structure of the social networking environment generated by PubMed users. A web browser plugin was developed to map [in Medical Subject Headings (MeSH) terms] the reading patterns of individual PubMed users. We developed a scientific social network based on the personal research profiles of readers of biomedical articles. A browser plugin is used to record the digital object identifier or PubMed ID of web pages. Recorded items are posted on the activity feed and automatically mapped to PubMed abstract. Within the activity feed a user can trace back previously browsed articles and insert comments. By calculating the frequency with which specific MeSH occur, the research interests of PubMed users can be visually represented with a tag cloud. Finally, research profiles can be searched for matches between network users. A social networking environment was created using MeSH terms to map articles accessed through the Medline/PubMed online library system. In-network social communication is supported by the recommendation of articles and by matching users with similar scientific interests. The system is available at http://bioknol.org/en/.

  19. Using cloud-computing applications to support collaborative scientific inquiry: Examining pre-service teachers’ perceived barriers towards integration / Utilisation d'applications infonuagiques pour appuyer la recherche scientifique collaborative

    Directory of Open Access Journals (Sweden)

    Joel Donna

    2013-07-01

    Full Text Available Technology plays a crucial role in facilitating collaboration within the scientific community. Cloud-computing applications can be used to model such collaboration and support inquiry within the secondary science classroom. Little is known about pre-service teachers’ beliefs related to the envisioned use of this technology in their teaching. These beliefs may influence future integration. This study finds several first-order barriers, such as perceptions that these tools would take too much time to use. Second-order barriers include perceptions that this technology would not promote face-to-face collaboration skills, would create social loafing situations, and beliefs that the technology does not help students understand the nature of science. Suggestions for mitigating these barriers within pre-service education technology courses are discussed. La technologie joue un rôle essentiel pour faciliter la collaboration au sein de la communauté scientifique. Les applications infonuagiques telles que Google Drive peuvent être utilisées pour donner forme à ce type de collaboration et pour appuyer le questionnement dans les cours de sciences du secondaire. On connaît pourtant peu les opinions que se font les futurs enseignants d’une telle utilisation des technologies collaboratives infonuagiques. Or, ces opinions pourraient influencer l’intégration future de ces technologies en salle de classe. Cette étude révèle plusieurs obstacles de premier plan, comme l’idée que l’utilisation de ces outils informatiques prend trop de temps. Parmi les obstacles de second plan, on note les perceptions selon lesquelles cette technologie ne promeut pas les compétences collaboratives de personne à personne, pose des problèmes de gestion de classe et n'aide pas les étudiants à comprendre la nature de la science. Des suggestions sont proposées pour atténuer ces obstacles dans les cours de technologie des programmes d’éducation.

  20. Supply chain collaboration in industrial symbiosis networks

    DEFF Research Database (Denmark)

    Herczeg, Gabor; Akkerman, Renzo; Hauschild, Michael Zwicky

    2018-01-01

    A strategy supporting the development towards a circular economy is industrial symbiosis (IS). It is a form of collaborative supply chain management aiming to make industry more sustainable and achieve collective benefits based on utilization of waste, by-products, and excess utilities between...... economically independent industries. Based on an extensive analysis of published studies on existing IS collaborations and interviews with central stakeholders of a comprehensive IS, this paper investigates IS from a supply chain collaboration perspective. A theoretical framework is built and used to discuss...... how industrial symbiosis pursues sustainability and to identify the main collaboration aspects and performance impacts. This framework is then used in the analysis of selected published cases. Based on this, we derive propositions on the organizational and operational requirements for collaboration...