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

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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.

Communication Policies in Knowledge Networks

Science.gov (United States)

Ioannidis, Evangelos; Varsakelis, Nikos; Antoniou, Ioannis

2018-02-01

Faster knowledge attainment within organizations leads to improved innovation, and therefore competitive advantage. Interventions on the organizational network may be risky or costly or time-demanding. We investigate several communication policies in knowledge networks, which reduce the knowledge attainment time without interventions. We examine the resulting knowledge dynamics for real organizational networks, as well as for artificial networks. More specifically, we investigate the dependence of knowledge dynamics on: (1) the Selection Rule of agents for knowledge acquisition, and (2) the Order of implementation of "Selection" and "Filtering". Significant decrease of the knowledge attainment time (up to -74%) can be achieved by: (1) selecting agents of both high knowledge level and high knowledge transfer efficiency, and (2) implementing "Selection" after "Filtering" in contrast to the converse, implicitly assumed, conventional prioritization. The Non-Commutativity of "Selection" and "Filtering", reveals a Non-Boolean Logic of the Network Operations. The results demonstrate that significant improvement of knowledge dynamics can be achieved by implementing "fruitful" communication policies, by raising the awareness of agents, without any intervention on the network structure.

Tourism-planning network knowledge dynamics

DEFF Research Database (Denmark)

Dredge, Dianne

2014-01-01

This chapter explores the characteristics and functions of tourism networks as a first step in understanding how networks facilitate and reproduce knowledge. A framework to progress understandings of knowledge dynamics in tourism networks is presented that includes four key dimensions: context......, network agents, network boundaries and network resources. A case study of the development of the Next Generation Tourism Handbook (Queensland, Australia), a policy initiative that sought to bring tourism and land use planning knowledge closer together is presented. The case study illustrates...... that the tourism policy and land use planning networks operate in very different spheres and that context, network agents, network boundaries and network resources have a significant influence not only on knowledge dynamics but also on the capacity of network agents to overcome barriers to learning and to innovate....

Social Networks Impacts on Knowledge Sharing Among Public ...

African Journals Online (AJOL)

pc

2018-03-05

Mar 5, 2018 ... Keywords- Social networks, Social media, Facebook, Twitter, and. Linkedin, Knowledge ... of knowledge sharing among public education students which the researcher see as .... frankness with teaching sphere. The American ...

Value Creation in Knowledge Networks

DEFF Research Database (Denmark)

Hansen, Magnus Rotvit Perlt; Pries-Heje, Jan

2017-01-01

Knowledge networks enable businesses to enhance their levels of innovation and market competitiveness. In this paper, we propose five principles for designing IT tools that can support the facilitation and improvement of knowledge networks. We also introduce a new value proposition that constitutes...... a nascent design theory in the domain of knowledge network improvement. The design principles are derived from an iterative process applied in three different case settings. In each case, we apply and evaluate the network nexus tool to determine whether the knowledge network provides value to its...

Knowledge evolution in physics research: An analysis of bibliographic coupling networks.

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Wenyuan Liu

Full Text Available Even as we advance the frontiers of physics knowledge, our understanding of how this knowledge evolves remains at the descriptive levels of Popper and Kuhn. Using the American Physical Society (APS publications data sets, we ask in this paper how new knowledge is built upon old knowledge. We do so by constructing year-to-year bibliographic coupling networks, and identify in them validated communities that represent different research fields. We then visualize their evolutionary relationships in the form of alluvial diagrams, and show how they remain intact through APS journal splits. Quantitatively, we see that most fields undergo weak Popperian mixing, and it is rare for a field to remain isolated/undergo strong mixing. The sizes of fields obey a simple linear growth with recombination. We can also reliably predict the merging between two fields, but not for the considerably more complex splitting. Finally, we report a case study of two fields that underwent repeated merging and splitting around 1995, and how these Kuhnian events are correlated with breakthroughs on Bose-Einstein condensation (BEC, quantum teleportation, and slow light. This impact showed up quantitatively in the citations of the BEC field as a larger proportion of references from during and shortly after these events.

A Collaborative Knowledge Plane for Autonomic Networks

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Mbaye, Maïssa; Krief, Francine

Autonomic networking aims to give network components self-managing capabilities. Several autonomic architectures have been proposed. Each of these architectures includes sort of a knowledge plane which is very important to mimic an autonomic behavior. Knowledge plane has a central role for self-functions by providing suitable knowledge to equipment and needs to learn new strategies for more accuracy.However, defining knowledge plane's architecture is still a challenge for researchers. Specially, defining the way cognitive supports interact each other in knowledge plane and implementing them. Decision making process depends on these interactions between reasoning and learning parts of knowledge plane. In this paper we propose a knowledge plane's architecture based on machine learning (inductive logic programming) paradigm and situated view to deal with distributed environment. This architecture is focused on two self-functions that include all other self-functions: self-adaptation and self-organization. Study cases are given and implemented.

Exploring the Role of Network Effects in IT Implementation: The Case of Knowledge Repositories

DEFF Research Database (Denmark)

Bansler, Jørgen P.; Havn, Erling C.

2004-01-01

This paper seeks to analyze the role of network effects in relation to the adoption and use of systems for knowledge sharing in organizations and draws on recent developments within network economics to outline a theoretical perspective on the implementation of knowledge repositories in organizat......This paper seeks to analyze the role of network effects in relation to the adoption and use of systems for knowledge sharing in organizations and draws on recent developments within network economics to outline a theoretical perspective on the implementation of knowledge repositories...... and communication technologies are introduced. The analysis of the field study data shows that knowledge repositories exhibit strong network effects, which can complicate the implementation process in multiple ways. The research is based on a single, in-depth case study. Future research should study the role...... of network effects in relation to other technologies and organizational contexts. It underscores the need to be aware of – and try to manage – network effects when implementing knowledge repositories and other "networked" technologies. By and large, IS researchers have overlooked the role of network effects...

Social Network Perspective: Model of Student Knowledge Sharing On Social Network Media

OpenAIRE

Bentar Priyopradono; Danny Manongga; Wiranto H. Utomo

2012-01-01

Recently, the role and development of information technology especially the internet, gives impact and influence in social relationship especially for social network site services users. The impact and influence the use of Internet which is related to exchange information and knowledge sharing still become one of the interesting topics to be researched. Now, the use of social media network by students are the best way to them to increase their knowledge as communication media such as, exchang...

Bipolar disorder research 2.0: Web technologies for research capacity and knowledge translation.

Science.gov (United States)

Michalak, Erin E; McBride, Sally; Barnes, Steven J; Wood, Chanel S; Khatri, Nasreen; Balram Elliott, Nusha; Parikh, Sagar V

2017-12-01

Current Web technologies offer bipolar disorder (BD) researchers many untapped opportunities for conducting research and for promoting knowledge exchange. In the present paper, we document our experiences with a variety of Web 2.0 technologies in the context of an international BD research network: The Collaborative RESearch Team to Study psychosocial issues in BD (CREST.BD). Three technologies were used as tools for enabling research within CREST.BD and for encouraging the dissemination of the results of our research: (1) the crestbd.ca website, (2) social networking tools (ie, Facebook, Twitter), and (3) several sorts of file sharing (ie YouTube, FileShare). For each Web technology, we collected quantitative assessments of their effectiveness (in reach, exposure, and engagement) over a 6-year timeframe (2010-2016). In general, many of our strategies were deemed successful for promoting knowledge exchange and other network goals. We discuss how we applied our Web analytics to inform adaptations and refinements of our Web 2.0 platforms to maximise knowledge exchange with people with BD, their supporters, and health care providers. We conclude with some general recommendations for other mental health researchers and research networks interested in pursuing Web 2.0 strategies. © 2017 John Wiley & Sons, Ltd.

Applied Knowledge Management to Mitigate Cognitive Load in Network-Enabled Mission Command

Science.gov (United States)

2017-11-22

ARL-TN-0859 ● NOV 2017 US Army Research Laboratory Applied Knowledge Management to Mitigate Cognitive Load in Network-Enabled...Applied Knowledge Management to Mitigate Cognitive Load in Network-Enabled Mission Command by John K Hawley Human Research and Engineering...REPORT TYPE Technical Note 3. DATES COVERED (From - To) 1 May 2016–20 April 2017 4. TITLE AND SUBTITLE Applied Knowledge Management to Mitigate

Knowledge Production, Urban Locations and the Importance of Local Networks

DEFF Research Database (Denmark)

Skytt-Larsen, Christine Benna; Winther, Lars

2015-01-01

This paper analyses the relationship between knowledge production and urban locations in industrial design, a knowledge-intensive business service (KIBS). KIBS concentrate in urban locations. This is often explained by the co-location of client firms and market access in large cities. Recent...... research on knowledge production, however, reveals that knowledge productive networks are significant for both the competitiveness and location of KIBS. Thus, to understand the urban location of industrial design, it is important to analyse how knowledge production is organized within the industry....... Industrial design is concentrated in urban locations, but most of its clients are located elsewhere. Hence, it seems that industrial design firms concentrate in urban locations mainly because their knowledge networks include specific types of formal and informal local social networks....

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...

Building skills for sustainability: a role for regional research networks

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Pranab Mukhopadhyay

2014-12-01

Full Text Available In South Asia, as local and regional environment problems grow, societal demand for new sustainability knowledge has outpaced its supply by traditional institutions and created a niche for research networks and think tanks. We discuss the role of networks in producing knowledge by using the South Asian Network for Development and Environmental Economics (SANDEE as a case study. We argue that geographic research networks can contribute to the growth of sustainability knowledge through (1 knowledge transfer, (2 knowledge sharing, and (3 knowledge deepening. By analyzing qualitative and quantitative information, we showed that although SANDEE participants gained significant intangible advantages from the network, there was also a noted tangible gain is in terms of a higher international publication rate. The SANDEE experience also suggests that policy outcomes are more likely to emerge from the buildup of human capital rather than from direct research interventions.

Knowledge extraction from evolving spiking neural networks with rank order population coding.

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Soltic, Snjezana; Kasabov, Nikola

2010-12-01

This paper demonstrates how knowledge can be extracted from evolving spiking neural networks with rank order population coding. Knowledge discovery is a very important feature of intelligent systems. Yet, a disproportionally small amount of research is centered on the issue of knowledge extraction from spiking neural networks which are considered to be the third generation of artificial neural networks. The lack of knowledge representation compatibility is becoming a major detriment to end users of these networks. We show that a high-level knowledge can be obtained from evolving spiking neural networks. More specifically, we propose a method for fuzzy rule extraction from an evolving spiking network with rank order population coding. The proposed method was used for knowledge discovery on two benchmark taste recognition problems where the knowledge learnt by an evolving spiking neural network was extracted in the form of zero-order Takagi-Sugeno fuzzy IF-THEN rules.

Socio-epistemic analysis of scientific knowledge production in little science research

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Alberto Pepe

2008-12-01

Full Text Available The processes that drive knowledge production and dissemination in scientific environments are embedded within the social, technical, cultural and epistemic practices of the constituent research communities. This article presents a methodology to unpack specific social and epistemic dimensions of scientific knowledge production using, as a case study,  the Center for Embedded Networked Sensing (CENS, a National Science Foundation “little science” research center involved in theoretical and applied work in the field of wireless communication and sensor networks. By analysis of its scholarly record, I construct a social network of coauthorship, linking individuals that have coauthored scholarly artifacts (journal articles and conference papers, and an epistemic network of topic co-occurrence, linking concepts and knowledge constructs in the same scholarly artifacts. This article reports on ongoing work directed at the study of the emergence and evolution of these networks of scientific interaction. I present some preliminary results and introduce a socio-epistemic method for an historical analysis of network co-evolution. I outline a research design to support further investigations of knowledge production in scientific circles.

Social networks and research output

NARCIS (Netherlands)

Ductor, L.; Fafchamps, M.; Goyal, S.; van der Leij, M.J.

2014-01-01

We study how knowledge about the social network of an individual researcher - as embodied in his coauthor relations - helps us in developing a more accurate prediction of his future productivity. We find that incorporating information about coauthor networks leads to a modest improvement in the

Knowledge sharing in infection prevention in routine and outbreak situations: a survey of the Society for Healthcare Epidemiology of America Research Network

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Rami Sommerstein

2017-08-01

Full Text Available Abstract In this cross-sectional Society for Healthcare Epidemiology of America Research Network survey on knowledge sharing in infection prevention we identified a rudimentary understanding of how to communicate and share knowledge within healthcare institutions. Our data support the need of further research in this important field.

Modeling Social Influences in a Knowledge Management Network

Science.gov (United States)

Franco, Giacomo; Maresca, Paolo; Nota, Giancarlo

2010-01-01

The issue of knowledge management in a distributed network is receiving increasing attention from both scientific and industrial organizations. Research efforts in this field are motivated by the awareness that knowledge is more and more perceived as a primary economic resource and that, in the context of organization of organizations, the…

Strategic Knowledge Networks for Global Education

Science.gov (United States)

Peterson, J. Fiona

2009-01-01

The inherent opportunities for communication, collaboration and experiential learning in an online and global network create the impetus for the new network paradigm in higher education. A strategic knowledge network in education was designed and developed to build "Mode 2" knowledge capabilities; create new knowledge for innovative…

Knowledge networking on Sociology: network analysis of blogs, YouTube videos and tweets about Sociology

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Julián Cárdenas

2017-06-01

Full Text Available While mainstream scientific knowledge production have been widely studied in recent years with the development of scientometrics and bibliometrics, an emergent number of studies have focused on alternative sources of production and dissemination of knowledge such as blogs, YouTube videos and comments on Twitter. These online sources of knowledge become relevant in fields such as Sociology, where some academics seek to bring the sociological knowledge to the general population. To explore which knowledge on Sociology is produced and disseminated, and how is organized in these online sources, we analyze the knowledge networking of blogs, YouTube videos and tweets on Twitter using network analysis approach. Specifically, the present research analyzes the hyperlink network of the main blogs on Sociology, the networks of tags used to classify videos on Sociology hosted on YouTube, and the network of hashtags linked to #sociología on Twitter. The main results point out the existence of a cohesive and strongly connected community of blogs on Sociology, the very low presence of YouTube videos on Sociology in Spanish, and Sociology on Twitter is linked to others social sciences, classical scholars and social media

Finding the Sweet Spot: Network Structures and Processes for Increased Knowledge Mobilization

Science.gov (United States)

Briscoe, Patricia; Pollock, Katina; Campbell, Carol; Carr-Harris, Shasta

2015-01-01

The use of networks in public education is one of many knowledge mobilization (KMb) strategies utilized to promote evidence-based research into practice. However, challenges exist in the ability to mobilize knowledge through networks. The purpose of this paper is to explore how networks work. Data were collected from virtual discussions for an…

Do academic knowledge brokers exist? Using social network analysis to explore academic research-to-policy networks from six schools of public health in Kenya.

Science.gov (United States)

Jessani, Nasreen S; Boulay, Marc G; Bennett, Sara C

2016-06-01

The potential for academic research institutions to facilitate knowledge exchange and influence evidence-informed decision-making has been gaining ground. Schools of public health (SPHs) may play a key knowledge brokering role-serving as agencies of and for development. Understanding academic-policymaker networks can facilitate the enhancement of links between policymakers and academic faculty at SPHs, as well as assist in identifying academic knowledge brokers (KBs). Using a census approach, we administered a sociometric survey to academic faculty across six SPHs in Kenya to construct academic-policymaker networks. We identified academic KBs using social network analysis (SNA) in a two-step approach: First, we ranked individuals based on (1) number of policymakers in their network; (2) number of academic peers who report seeking them out for advice on knowledge translation and (3) their network position as 'inter-group connectors'. Second, we triangulated the three scores and re-ranked individuals. Academic faculty scoring within the top decile across all three measures were classified as KBs. Results indicate that each SPH commands a variety of unique as well as overlapping relationships with national ministries in Kenya. Of 124 full-time faculty, we identified 7 KBs in 4 of the 6 SPHs. Those scoring high on the first measure were not necessarily the same individuals scoring high on the second. KBs were also situated in a wide range along the 'connector/betweenness' measure. We propose that a composite score rather than traditional 'betweenness centrality', provides an alternative means of identifying KBs within these networks. In conclusion, SNA is a valuable tool for identifying academic-policymaker networks in Kenya. More efforts to conduct similar network studies would permit SPH leadership to identify existing linkages between faculty and policymakers, shared linkages with other SPHs and gaps so as to contribute to evidence-informed health policies. © The

A Network Based Methodology to Reveal Patterns in Knowledge Transfer

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Orlando López-Cruz

2015-12-01

Full Text Available This paper motivates, presents and demonstrates in use a methodology based in complex network analysis to support research aimed at identification of sources in the process of knowledge transfer at the interorganizational level. The importance of this methodology is that it states a unified model to reveal knowledge sharing patterns and to compare results from multiple researches on data from different periods of time and different sectors of the economy. This methodology does not address the underlying statistical processes. To do this, national statistics departments (NSD provide documents and tools at their websites. But this proposal provides a guide to model information inferences gathered from data processing revealing links between sources and recipients of knowledge being transferred and that the recipient detects as main source to new knowledge creation. Some national statistics departments set as objective for these surveys the characterization of innovation dynamics in firms and to analyze the use of public support instruments. From this characterization scholars conduct different researches. Measures of dimensions of the network composed by manufacturing firms and other organizations conform the base to inquiry the structure that emerges from taking ideas from other organizations to incept innovations. These two sets of data are actors of a two- mode-network. The link between two actors (network nodes, one acting as the source of the idea. The second one acting as the destination comes from organizations or events organized by organizations that “provide” ideas to other group of firms. The resulting demonstrated design satisfies the objective of being a methodological model to identify sources in knowledge transfer of knowledge effectively used in innovation.

Comprehensive Oncologic Emergencies Research Network (CONCERN)

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The Comprehensive Oncologic Emergencies Research Network (CONCERN) was established in March 2015 with the goal to accelerate knowledge generation, synthesis and translation of oncologic emergency medicine research through multi-center collaborations.

Coordinating knowledge transfer within manufacturing networks

DEFF Research Database (Denmark)

Yang, Cheng; Johansen, John; Boer, Harry

2008-01-01

Along with increasing globalization, the management of international manufacturing networks is becoming increasingly important for industrial companies. This paper mainly focuses on the coordination of knowledge transfer within manufacturing networks. In this context, we propose the time......-place matrix as a tool for mapping the distribution of knowledge within manufacturing networks. Using this tool, four important questions about the coordination of knowledge transfer within a manufacturing network are identified: know-where, know-what, know-when, know-how to transfer. The relationships among...

Research network involving retired experts as a means to keep alive relevant knowledge - The case of IPEN in Brazil

International Nuclear Information System (INIS)

Barroso, A.C.O.; Imakuma, K.; Reis, J.S.B. Jr.

2007-01-01

Full text: On one hand, by appraising the drivers that influence energy policies worldwide, one come to the conclusion that the prospects for a revival nuclear power deployment have never been so clearly designed. On the other hand, looking to what has been the situation over the last twenty years, it is evident that, should the revival come to strength in the next five to ten years, one will run into knowledge shortage problems of many kinds. This feeling, which is the tip of an iceberg, has been constantly alerted by almost everyone studying the scenario and these concerns, thanks to the proactive and catalytic role of the IAEA, gave rise to the growing field of nuclear knowledge management - NKM. Despite the repeated recommendations of IAEA, the Brazilian nuclear area as a whole is not making coordinated efforts in this concern. Reasons are many, but probably the root cause resides in the fact that the country does not have a nuclear program or a clear policy concerning the role of nuclear in the Brazilian electricity generation matrix. There are, however, some isolated initiatives in some institutions concerning mapping, diagnostic and preservation of critical nuclear knowledge. This work has studied a social network - SN that has emerged naturally and that is helping to transfer and keep alive the knowledge of retired experts at IPEN. Enabling and driving factors that have strongly contributed to the network formation and its sustainability can be summarized as: 1) The fact that Human resources of IPEN belong to a special career of science and technology for which to have master and doctor degrees represent significant salary increases. 2) The location of IPEN, sited in the campus of the country's leading university, Sao Paulo University - USP and the special institutional arrangement under which it functions as the nuclear technology unit of this university. Researchers of IPEN, with doctor degree and teaching abilities, can become also professors of graduate

Online Academic Networks as Knowledge Brokers: The Mediating Role of Organizational Support

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Elena-Mădălina Vătămănescu

2018-04-01

Full Text Available Placing online academic networks in the framework of social, cultural and institutional “deterritorialization,” the current paper aims at investigating the functionality of these new forms of transnational and trans-organizational aggregations as knowledge brokers. The emphasis is laid on the influence of human collective intelligence and consistent knowledge flows on research innovation, considering the role of organizational support within higher education systems. In this respect, the research relied on a questionnaire-based survey with 140 academics from European emerging countries, the data collected being processed via a partial least squares structural equation modelling technique. Evidence was brought that, as knowledge brokers, online academic networks are systems aimed to support the access to human collective intelligence and consistent knowledge flows which exert a positive influence on research innovation, both directly and indirectly, by means of formal and informal organizational support. As facilitators of collaborative environments for individuals with specialized knowledge, competence, expertise and experience, online academic networks have set themselves up as an agora for academics worldwide and as an outlet for their acumen and literacy.

NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 35: The use of computer networks in aerospace engineering

Science.gov (United States)

Bishop, Ann P.; Pinelli, Thomas E.

1995-01-01

This research used survey research to explore and describe the use of computer networks by aerospace engineers. The study population included 2000 randomly selected U.S. aerospace engineers and scientists who subscribed to Aerospace Engineering. A total of 950 usable questionnaires were received by the cutoff date of July 1994. Study results contribute to existing knowledge about both computer network use and the nature of engineering work and communication. We found that 74 percent of mail survey respondents personally used computer networks. Electronic mail, file transfer, and remote login were the most widely used applications. Networks were used less often than face-to-face interactions in performing work tasks, but about equally with reading and telephone conversations, and more often than mail or fax. Network use was associated with a range of technical, organizational, and personal factors: lack of compatibility across systems, cost, inadequate access and training, and unwillingness to embrace new technologies and modes of work appear to discourage network use. The greatest positive impacts from networking appear to be increases in the amount of accurate and timely information available, better exchange of ideas across organizational boundaries, and enhanced work flexibility, efficiency, and quality. Involvement with classified or proprietary data and type of organizational structure did not distinguish network users from nonusers. The findings can be used by people involved in the design and implementation of networks in engineering communities to inform the development of more effective networking systems, services, and policies.

The global structure of knowledge network

NARCIS (Netherlands)

Angelopoulos, Spyros; Lomi, Alessandro

2017-01-01

In this paper, we treat patent citations as knowledge networks connecting pieces of formalized knowledge and people, and focus on how ideas are connected, rather than how they are protected. We focus on the global structural properties of formalized knowledge network, and more specifically on the

Establishing a national knowledge translation and generation network in kidney disease: the CAnadian KidNey KNowledge TraNslation and GEneration NeTwork.

Science.gov (United States)

Manns, Braden; Barrett, Brendan; Evans, Michael; Garg, Amit; Hemmelgarn, Brenda; Kappel, Joanne; Klarenbach, Scott; Madore, Francois; Parfrey, Patrick; Samuel, Susan; Soroka, Steven; Suri, Rita; Tonelli, Marcello; Wald, Ron; Walsh, Michael; Zappitelli, Michael

2014-01-01

Patients with chronic kidney disease (CKD) do not always receive care consistent with guidelines, in part due to complexities in CKD management, lack of randomized trial data to inform care, and a failure to disseminate best practice. At a 2007 conference of key Canadian stakeholders in kidney disease, attendees noted that the impact of Canadian Society of Nephrology (CSN) guidelines was attenuated given limited formal linkages between the CSN Clinical Practice Guidelines Group, kidney researchers, decision makers and knowledge users, and that further knowledge was required to guide care in patients with kidney disease. The idea for the Canadian Kidney Knowledge Translation and Generation Network (CANN-NET) developed from this meeting. CANN-NET is a pan-Canadian network established in partnership with CSN, the Kidney Foundation of Canada and other professional societies to improve the care and outcomes of patients with and at risk for kidney disease. The initial priority areas for knowledge translation include improving optimal timing of dialysis initiation, and increasing the appropriate use of home dialysis. Given the urgent need for new knowledge, CANN-NET has also brought together a national group of experienced Canadian researchers to address knowledge gaps by encouraging and supporting multicentre randomized trials in priority areas, including management of cardiovascular disease in patients with kidney failure.

Weaving a knowledge network for Deep Carbon Science

Science.gov (United States)

Ma, Xiaogang; West, Patrick; Zednik, Stephan; Erickson, John; Eleish, Ahmed; Chen, Yu; Wang, Han; Zhong, Hao; Fox, Peter

2017-05-01

Geoscience researchers are increasingly dependent on informatics and the Web to conduct their research. Geoscience is one of the first domains that take lead in initiatives such as open data, open code, open access, and open collections, which comprise key topics of Open Science in academia. The meaning of being open can be understood at two levels. The lower level is to make data, code, sample collections and publications, etc. freely accessible online and allow reuse, modification and sharing. The higher level is the annotation and connection between those resources to establish a network for collaborative scientific research. In the data science component of the Deep Carbon Observatory (DCO), we have leveraged state-of-the-art information technologies and existing online resources to deploy a web portal for the over 1000 researchers in the DCO community. An initial aim of the portal is to keep track of all research and outputs related to the DCO community. Further, we intend for the portal to establish a knowledge network, which supports various stages of an open scientific process within and beyond the DCO community. Annotation and linking are the key characteristics of the knowledge network. Not only are key assets, including DCO data and methods, published in an open and inter-linked fashion, but the people, organizations, groups, grants, projects, samples, field sites, instruments, software programs, activities, meetings, etc. are recorded and connected to each other through relationships based on well-defined, formal conceptual models. The network promotes collaboration among DCO participants, improves the openness and reproducibility of carbon-related research, facilitates accreditation to resource contributors, and eventually stimulates new ideas and findings in deep carbon-related studies.

Knowledge translation in rehabilitation engineering research and development: a knowledge ecosystem framework.

Science.gov (United States)

Chau, Tom; Moghimi, Saba; Popovic, Milos R

2013-01-01

Rehabilitation engineering is concerned with technology innovations and technology-mediated treatments for the improvement of quality of care and quality of life of individuals with disability. Unlike many other fields of health research, the knowledge translation (KT) cycle of rehabilitation engineering research and development (R&D) is often considered incomplete until a technology product or technology-facilitated therapy is available to target clientele. As such, the KT journey of rehabilitation engineering R&D is extremely challenging, necessarily involving knowledge exchange among numerous players across multiple sectors. In this article, we draw on recent literature about the knowledge trichotomy in technology-based rehabilitation R&D and propose a knowledge ecosystem to frame the rehabilitation engineering KT process from need to product. Identifying the principal process of the ecosystem as one of knowledge flow, we elucidate the roles of repository and networked knowledge, identify key consumers and producers in a trinity of communities of practice, and draw on knowledge management literature to describe different knowledge flows. The article concludes with instantiations of this knowledge ecosystem for 2 local rehabilitation engineering research-development-commercialization endeavors. Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Finding the Sweet Spot: Network Structures and Processes for Increased Knowledge Mobilization

Directory of Open Access Journals (Sweden)

Patricia Briscoe

2016-06-01

Full Text Available The use of networks in public education is one of a number of knowledge mobilization (KMb strategies utilized to promote evidence-based research into practice. However, challenges exist in the ability to effectively mobilizing knowledge through external partnership networks. The purpose of this paper is to further explore how networks work. Data was collected from virtual discussions for an interim report for a province-wide government initiative. A secondary analysis of the data was performed. The findings present network structures and processes that partners were engaged in when building a network within education. The implications of this study show that building a network for successful outcomes is complex and metaphorically similar to finding the “sweet spot.” It is challenging but networks that used strategies to align structures and processes proved to achieve more success in mobilizing research to practice.

New knowledge network evaluation method for design rationale management

Science.gov (United States)

Jing, Shikai; Zhan, Hongfei; Liu, Jihong; Wang, Kuan; Jiang, Hao; Zhou, Jingtao

2015-01-01

Current design rationale (DR) systems have not demonstrated the value of the approach in practice since little attention is put to the evaluation method of DR knowledge. To systematize knowledge management process for future computer-aided DR applications, a prerequisite is to provide the measure for the DR knowledge. In this paper, a new knowledge network evaluation method for DR management is presented. The method characterizes the DR knowledge value from four perspectives, namely, the design rationale structure scale, association knowledge and reasoning ability, degree of design justification support and degree of knowledge representation conciseness. The DR knowledge comprehensive value is also measured by the proposed method. To validate the proposed method, different style of DR knowledge network and the performance of the proposed measure are discussed. The evaluation method has been applied in two realistic design cases and compared with the structural measures. The research proposes the DR knowledge evaluation method which can provide object metric and selection basis for the DR knowledge reuse during the product design process. In addition, the method is proved to be more effective guidance and support for the application and management of DR knowledge.

The impacts of network competence, knowledge sharing on service innovation performance: Moderating role of relationship quality

Directory of Open Access Journals (Sweden)

Zaoquan Jian

2013-03-01

Full Text Available Purpose: To examine how network competence, knowledge sharing and relationship quality affect service innovation performanceDesign/methodology/approach: Empirical ResearchFindings: 1 Both enterprise’s network competence and knowledge sharing have distinct positive impact on SIP; (2 Knowledge sharing partially mediates the effect of network competence on SIP. (3 Relationship quality positively moderates the effect of network competence on knowledge sharing, and the effect of knowledge sharing on SIP. (4 Relationship quality does not positively moderate the effect of network competence on SIP.Originality/value: This study has enriched current understanding of the relationship among network competence, knowledge sharing, relationship quality and service innovation performance.

The guideline implementability research and application network (GIRAnet: an international collaborative to support knowledge exchange: study protocol

Directory of Open Access Journals (Sweden)

Gagliardi Anna R

2012-04-01

Full Text Available Abstract Background Modifying the format and content of guidelines may facilitate their use and lead to improved quality of care. We reviewed the medical literature to identify features desired by different users and associated with guideline use to develop a framework of implementability and found that most guidelines do not contain these elements. Further research is needed to develop and evaluate implementability tools. Methods We are launching the Guideline Implementability Research and Application Network (GIRAnet to enable the development and testing of implementability tools in three domains: Resource Implications, Implementation, and Evaluation. Partners include the Guidelines International Network (G-I-N and its member guideline developers, implementers, and researchers. In phase one, international guidelines will be examined to identify and describe exemplar tools. Indication-specific and generic tools will populate a searchable repository. In phase two, qualitative analysis of cognitive interviews will be used to understand how developers can best integrate implementability tools in guidelines and how health professionals use them for interpreting and applying guidelines. In phase three, a small-scale pilot test will assess the impact of implementability tools based on quantitative analysis of chart-based behavioural outcomes and qualitative analysis of interviews with participants. The findings will be used to plan a more comprehensive future evaluation of implementability tools. Discussion Infrastructure funding to establish GIRAnet will be leveraged with the in-kind contributions of collaborating national and international guideline developers to advance our knowledge of implementation practice and science. Needs assessment and evaluation of GIRAnet will provide a greater understanding of how to develop and sustain such knowledge-exchange networks. Ultimately, by facilitating use of guidelines, this research may lead to improved

Weaving a Knowledge Network for Deep Carbon Science

Directory of Open Access Journals (Sweden)

Xiaogang Ma

2017-05-01

Full Text Available Geoscience researchers are increasingly dependent on informatics and the Web to conduct their research. Geoscience is one of the first domains that take lead in initiatives such as open data, open code, open access, and open collections, which comprise key topics of Open Science in academia. The meaning of being open can be understood at two levels. The lower level is to make data, code, sample collections, and publications, etc., freely accessible online and allow reuse, modification, and sharing. The higher level is the annotation and connection between those resources to establish a network for collaborative scientific research. In the data science component of the Deep Carbon Observatory (DCO, we have leveraged state-of-the-art information technologies and existing online resources to deploy a web portal for the over 1,000 researchers in the DCO community. An initial aim of the portal is to keep track of all research and outputs related to the DCO community. Further, we intend for the portal to establish a knowledge network, which supports various stages of an open scientific process within and beyond the DCO community. Annotation and linking are the key characteristics of the knowledge network. Not only are key assets, including DCO data and methods, published in an open and inter-linked fashion, but the people, organizations, groups, grants, projects, samples, field sites, instruments, software programs, activities, meetings, etc., are recorded and connected to each other through relationships based on well-defined, formal conceptual models. The network promotes collaboration among DCO participants, improves the openness and reproducibility of carbon-related research, facilitates accreditation to resource contributors, and eventually stimulates new ideas and findings in deep carbon-related studies.

Dynamics of Research Team Formation in Complex Networks

Science.gov (United States)

Sun, Caihong; Wan, Yuzi; Chen, Yu

Most organizations encourage the formation of teams to accomplish complicated tasks, and vice verse, effective teams could bring lots benefits and profits for organizations. Network structure plays an important role in forming teams. In this paper, we specifically study the dynamics of team formation in large research communities in which knowledge of individuals plays an important role on team performance and individual utility. An agent-based model is proposed, in which heterogeneous agents from research communities are described and empirically tested. Each agent has a knowledge endowment and a preference for both income and leisure. Agents provide a variable input (‘effort’) and their knowledge endowments to production. They could learn from others in their team and those who are not in their team but have private connections in community to adjust their own knowledge endowment. They are allowed to join other teams or work alone when it is welfare maximizing to do so. Various simulation experiments are conducted to examine the impacts of network topology, knowledge diffusion among community network, and team output sharing mechanisms on the dynamics of team formation.

Establishing a National Knowledge Translation and Generation Network in Kidney Disease: The CAnadian KidNey KNowledge TraNslation and GEneration NeTwork

Directory of Open Access Journals (Sweden)

Braden Manns

2014-04-01

Full Text Available Patients with chronic kidney disease (CKD do not always receive care consistent with guidelines, in part due to complexities in CKD management, lack of randomized trial data to inform care, and a failure to disseminate best practice. At a 2007 conference of key Canadian stakeholders in kidney disease, attendees noted that the impact of Canadian Society of Nephrology (CSN guidelines was attenuated given limited formal linkages between the CSN Clinical Practice Guidelines Group, kidney researchers, decision makers and knowledge users, and that further knowledge was required to guide care in patients with kidney disease. The idea for the Canadian Kidney Knowledge Translation and Generation Network (CANN-NET developed from this meeting. CANN-NET is a pan-Canadian network established in partnership with CSN, the Kidney Foundation of Canada and other professional societies to improve the care and outcomes of patients with and at risk for kidney disease. The initial priority areas for knowledge translation include improving optimal timing of dialysis initiation, and increasing the appropriate use of home dialysis. Given the urgent need for new knowledge, CANN-NET has also brought together a national group of experienced Canadian researchers to address knowledge gaps by encouraging and supporting multicentre randomized trials in priority areas, including management of cardiovascular disease in patients with kidney failure.

Knitted Patterns or Contagious Hotspots?: Linking Views on Knowledge and Organizational Networked Learning

Science.gov (United States)

Cornelissen, Frank; de Jong, Tjip; Kessels, Joseph

2012-01-01

Purpose: This paper aims to propose a framework which connects perspectives on knowledge and learning to various approaches of social networks studies. The purpose is twofold: providing input for the discourse in organizational studies about the way different views on knowledge and networks drive design choices and activities of researchers,…

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

Sociospatial Knowledge Networks: Appraising Community as Place.

Science.gov (United States)

Skelly, Anne H.; Arcury, Thomas A.; Gesler, Wilbert M.; Cravey, Altha J.; Dougherty, Molly C.; Washburn, Sarah A.; Nash, Sally

2002-01-01

A new theory of geographical analysis--sociospatial knowledge networks--provides a framework for understanding the social and spatial locations of a community's health knowledge and beliefs. This theory is guiding an ethnographic study of health beliefs, knowledge, and knowledge networks in a diverse rural community at high risk for type-2…

Exploring Knowledge Processes Based on Teacher Research in a School-University Research Network of a Master's Program

Science.gov (United States)

Cornelissen, Frank; van Swet, Jacqueline; Beijaard, Douwe; Bergen, Theo

2013-01-01

School-university research networks aim at closer integration of research and practice by means of teacher research. Such practice-oriented research can benefit both schools and universities. This paper reports on a multiple-case study of five participants in a school-university research network in a Dutch master's program. The research question…

76 FR 38129 - Applications for New Awards; Americans With Disabilities Act (ADA) National Network Knowledge...

Science.gov (United States)

2011-06-29

... DEPARTMENT OF EDUCATION Applications for New Awards; Americans With Disabilities Act (ADA) National Network Knowledge Translation Center (ADA KT Center) AGENCY: Office of Special Education and... Program--Disability Rehabilitation Research Projects (DRRP)--The ADA National Network Knowledge...

Semantic Network and Frame Knowledge Representation Formalisms in Artificial Intelligence

OpenAIRE

Rashid, Pshtiwan Qader

2015-01-01

ABSTRACT: Choosing a suitable method to represent the knowledge concerning the real world is one of the major issues involved in Artificial Intelligence. The purpose of this research is to consider the important beneficial roles of semantic network and frame formalisms for knowledge representation in Artificial Intelligence. The basic properties of the above methods for appropriate structuring and arranging the knowledge are presented. Some types of relationships, the conceptual graph...

Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks.

Science.gov (United States)

Tian, Ye; Zhang, Bai; Hoffman, Eric P; Clarke, Robert; Zhang, Zhen; Shih, Ie-Ming; Xuan, Jianhua; Herrington, David M; Wang, Yue

2014-07-24

Modeling biological networks serves as both a major goal and an effective tool of systems biology in studying mechanisms that orchestrate the activities of gene products in cells. Biological networks are context-specific and dynamic in nature. To systematically characterize the selectively activated regulatory components and mechanisms, modeling tools must be able to effectively distinguish significant rewiring from random background fluctuations. While differential networks cannot be constructed by existing knowledge alone, novel incorporation of prior knowledge into data-driven approaches can improve the robustness and biological relevance of network inference. However, the major unresolved roadblocks include: big solution space but a small sample size; highly complex networks; imperfect prior knowledge; missing significance assessment; and heuristic structural parameter learning. To address these challenges, we formulated the inference of differential dependency networks that incorporate both conditional data and prior knowledge as a convex optimization problem, and developed an efficient learning algorithm to jointly infer the conserved biological network and the significant rewiring across different conditions. We used a novel sampling scheme to estimate the expected error rate due to "random" knowledge. Based on that scheme, we developed a strategy that fully exploits the benefit of this data-knowledge integrated approach. We demonstrated and validated the principle and performance of our method using synthetic datasets. We then applied our method to yeast cell line and breast cancer microarray data and obtained biologically plausible results. The open-source R software package and the experimental data are freely available at http://www.cbil.ece.vt.edu/software.htm. Experiments on both synthetic and real data demonstrate the effectiveness of the knowledge-fused differential dependency network in revealing the statistically significant rewiring in biological

Knowledge Access in Rural Inter-connected Areas Network ...

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

Knowledge Access in Rural Inter-connected Areas Network (KariaNet) - Phase II ... poor by sharing innovations, best practices and indigenous knowledge using ... A third thematic network - on knowledge management strategies - will play an ...

Networking for knowledge capacity building of procurement professionals in Ghana

Directory of Open Access Journals (Sweden)

Kissi Ernest

2016-12-01

Full Text Available The role of public procurement professionals in achieving value for money in public procurement activities is widely acknowledged around the globe. This has inspired the organisation of training programmes and workshops for procurement professionals, particularly those in developing countries in order to hone their knowledge and skills for proper management of government projects. This paper sought to explore the opportunities in networking for knowledge capacity building of procurement professionals in Ghana. The study adopted quantitative research methods for both data collection and analysis. The paper revealed that professional networking can offer procurement professionals the opportunity to acquire new knowledge from external professionals, know global trends about procurement practice, and obtain new information from other institutions about procurement. It is recommended that a platform that can support a network of procurement professionals in Ghana should be developed in order to ensure effective interaction and communication among procurement professionals for their capacity building.

The Interplay of Networking Activities and Internal Knowledge Actions for Subsidiary Influence within MNCs

DEFF Research Database (Denmark)

Tavani, Zhaleh Najafi; Giroud, Axèle; Andersson, Ulf

2012-01-01

Building on resource dependency theory; this research investigates the joint impacts of subsidiary knowledge based actions (Reverse Knowledge Transfer (RKT) and knowledge development) and networking activities (internal and external embeddedness) on its strategic influence in the multinational co...

Learning about knowledge: A complex network approach

International Nuclear Information System (INIS)

Fontoura Costa, Luciano da

2006-01-01

An approach to modeling knowledge acquisition in terms of walks along complex networks is described. Each subset of knowledge is represented as a node, and relations between such knowledge are expressed as edges. Two types of edges are considered, corresponding to free and conditional transitions. The latter case implies that a node can only be reached after visiting previously a set of nodes (the required conditions). The process of knowledge acquisition can then be simulated by considering the number of nodes visited as a single agent moves along the network, starting from its lowest layer. It is shown that hierarchical networks--i.e., networks composed of successive interconnected layers--are related to compositions of the prerequisite relationships between the nodes. In order to avoid deadlocks--i.e., unreachable nodes--the subnetwork in each layer is assumed to be a connected component. Several configurations of such hierarchical knowledge networks are simulated and the performance of the moving agent quantified in terms of the percentage of visited nodes after each movement. The Barabasi-Albert and random models are considered for the layer and interconnecting subnetworks. Although all subnetworks in each realization have the same number of nodes, several interconnectivities, defined by the average node degree of the interconnection networks, have been considered. Two visiting strategies are investigated: random choice among the existing edges and preferential choice to so far untracked edges. A series of interesting results are obtained, including the identification of a series of plateaus of knowledge stagnation in the case of the preferential movement strategy in the presence of conditional edges

Introductory note on Emergent Unconscious Knowledge Networks (Asygnodic Networks

Directory of Open Access Journals (Sweden)

Henry Bakis

2016-05-01

Full Text Available This note introduces the following paper on the concept of Emergent Unconscious Knowledge Networks (Asygnodic Networks created by E. Roche and M. Blaine. The concept of asyngnosis explains a large number of diverse phenomena involving organizations, groups and decision making. It will present the genesis and definition of Asygnodic Networks and will focus on how they raise challenges to traditional theories of decision making and emerging social networks.

Large-scale computer networks and the future of legal knowledge-based systems

NARCIS (Netherlands)

Leenes, R.E.; Svensson, Jorgen S.; Hage, J.C.; Bench-Capon, T.J.M.; Cohen, M.J.; van den Herik, H.J.

1995-01-01

In this paper we investigate the relation between legal knowledge-based systems and large-scale computer networks such as the Internet. On the one hand, researchers of legal knowledge-based systems have claimed huge possibilities, but despite the efforts over the last twenty years, the number of

Social Networks and Health Knowledge in India

DEFF Research Database (Denmark)

Blunch, Niels-Hugo; Datta Gupta, Nabanita

such as education and access to social networks explain part of the gap, a substantial part of the health knowledge gap is left unexplained. All groups have greater health knowledge in urban than in rural areas, but the gap is even wider in urban than in rural areas. Additionally, high caste women benefit more...... in terms of health knowledge from having health networks than women from other groups; except if the health person is of the same caste/religion, in which case low caste and Muslim women sometimes benefit by as much as double that of high caste women, or even more. It may therefore not be enough to give...... individuals access to high quality networks if caste and religion-related gaps in health knowledge are to be reduced; such networks also have to be homophilous, to have the maximum effect. Improved treatment from and confidence in the medical profession is found to be part of the mechanism linking health...

Recent severe accident research synthesis of the major outcomes from the SARNET network

Energy Technology Data Exchange (ETDEWEB)

Van Dorsselaere, J.-P., E-mail: jean-pierre.van-dorsselaere@irsn.fr [Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Saint-Paul-lez-Durance (France); Auvinen, A. [VTT Technical Research Centre, Espoo (Finland); Beraha, D. [Gesellschaft für Anlagen- und Reaktorsicherheit mbH (GRS), Köln (Germany); Chatelard, P. [Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Saint-Paul-lez-Durance (France); Herranz, L.E. [Centro de Investigaciones Energéticas MedioAmbientales y Tecnológicas (CIEMAT), Madrid (Spain); Journeau, C. [Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA), Paris (France); Klein-Hessling, W. [Gesellschaft für Anlagen- und Reaktorsicherheit mbH (GRS), Köln (Germany); Kljenak, I. [Jozef Stefan Institute (JSI), Ljubljana (Slovenia); Miassoedov, A. [Karlsruhe Institute of Technology (KIT), Karlsruhe (Germany); Paci, S. [University of Pisa, Pisa (Italy); Zeyen, R. [European Commission Joint Research Centre, Institute for Energy (JRC/IET), Petten (Netherlands)

2015-09-15

Highlights: • SARNET network of excellence integration mid-2013 in the NUGENIA Association. • Progress of knowledge on corium behaviour, hydrogen explosion and source term. • Further development of ASTEC integral code to capitalize knowledge. • Ranking of next R&D high priority issues accounting for international research. • Dissemination of knowledge through education courses and ERMSAR conferences. - Abstract: The SARNET network (Severe Accident Research NETwork of excellence), co-funded by the European Commission from 2004 to 2013, has allowed to significantly improve the knowledge on severe accidents and to disseminate it through courses and ERMSAR conferences. The major investigated topics, involving more than 250 researchers from 22 countries, were in- and ex-vessel corium/debris coolability, molten-core–concrete-interaction, steam explosion, hydrogen combustion and mitigation in containment, impact of oxidising conditions on source term, and iodine chemistry. The ranking of the high priority issues was updated to account for the results of recent international research and for the impact of Fukushima nuclear accidents in Japan. In addition, the ASTEC integral code was further developed to capitalize the new knowledge. The network has reached self-sustainability by integration in mid-2013 into the NUGENIA Association. The main activities and outcomes of the network are presented.

Recent severe accident research synthesis of the major outcomes from the SARNET network

International Nuclear Information System (INIS)

Van Dorsselaere, J.-P.; Auvinen, A.; Beraha, D.; Chatelard, P.; Herranz, L.E.; Journeau, C.; Klein-Hessling, W.; Kljenak, I.; Miassoedov, A.; Paci, S.; Zeyen, R.

2015-01-01

Highlights: • SARNET network of excellence integration mid-2013 in the NUGENIA Association. • Progress of knowledge on corium behaviour, hydrogen explosion and source term. • Further development of ASTEC integral code to capitalize knowledge. • Ranking of next R&D high priority issues accounting for international research. • Dissemination of knowledge through education courses and ERMSAR conferences. - Abstract: The SARNET network (Severe Accident Research NETwork of excellence), co-funded by the European Commission from 2004 to 2013, has allowed to significantly improve the knowledge on severe accidents and to disseminate it through courses and ERMSAR conferences. The major investigated topics, involving more than 250 researchers from 22 countries, were in- and ex-vessel corium/debris coolability, molten-core–concrete-interaction, steam explosion, hydrogen combustion and mitigation in containment, impact of oxidising conditions on source term, and iodine chemistry. The ranking of the high priority issues was updated to account for the results of recent international research and for the impact of Fukushima nuclear accidents in Japan. In addition, the ASTEC integral code was further developed to capitalize the new knowledge. The network has reached self-sustainability by integration in mid-2013 into the NUGENIA Association. The main activities and outcomes of the network are presented

Knowledge sharing in an Emerging Network of Practice: The Role of a Knowledge Portal

NARCIS (Netherlands)

P.J. van Baalen (Peter); J.M. Bloemhof-Ruwaard (Jacqueline); H.W.G.M. van Heck (Eric)

2005-01-01

textabstractThis article addresses the emergence of networks of practice and the role of knowledge sharing via knowledge portals. Its focus is on factors that stimulate the successful emergence of networks of practice. Literature on knowledge management and communities of practice suggest the

Motivation and Outcomes of Complementary and Synergistic Knowledge Networks

OpenAIRE

Nielsen, Bo B.

2001-01-01

This paper aims at contributing to the research concerning alliance dynamics by combining elements from research considering motives for alliance formation and alliance outcomes. This paper draws on the resource-based view of the firm, suggesting that firms’ competitive advantages derive from their preferential access to idiosyncratic resources, especially tacit knowledge-related (based) resources. However, by integrating the resource-based view into the network perspective, the main argument...

The Transfer of Knowledge in Intra-Organizational Networks: A Case Study Analysis

Directory of Open Access Journals (Sweden)

Sroka Włodzimierz

2014-02-01

Full Text Available `Background: In today’s business environment, a company is able to maintain its competitive position if it constantly generates knowledge and disseminates this knowledge within the organization, as well as transforms it into new competences. The ability to transfer knowledge becomes one of the key factors in the improvement of a company’s competitive position. This hypothesis is applicable particularly in the case of cooperation within networks, as they are an excellent opportunity for mutual learning between partners. Objectives: The purpose of the paper is to analyse the process of knowledge transfer in intra-organizational networks. Method: Due to the specificity of the research object, the case study method has been chosen. In order to make an in-depth analysis of the case study, we selected a group of several criteria based on the theory which we believe to be fundamental to the effectiveness of knowledge management in networks, and compared them with the situation in the ArcelorMittal Group. Results: Our research show that ArcelorMittal Group has met almost all the criteria of effective knowledge management in its intra-organizational network. Some exceptions, albeit merely to an extent, are mostly the result of historical circumstances, , i.e. the process of growth through acquisitions, and the acquisition of companies at different stages of organizational development, as well as organizational culture. Conclusion: Based on theoretical assumptions, the study analysed in details the components of knowledge management applied by the corporation in question. Therefore this study might be utilised to formulate a refutable hypothesis and verify them on a larger group of companies from different sectors of the economy. The main limitations of the paper are mostly related to the inherent approach therein

Evaluation of knowledge management performances in NULIFE network

International Nuclear Information System (INIS)

Nitoi, Mirela; Cojan, Mihai; Pavelescu, Margarit

2009-01-01

One of the objectives of Nuclear Plant Life Prediction (NULIFE) network is the identification of experts and resources which can be used in the future. The major challenge is to use these competent personnel in an efficient manner, in the network. The paper presents the necessity of developing the knowledge management strategy for networks of excellence, as the specific issues of NULIFE network. In order to highlight the progress during the project operating, the developed indicators of performance are specified. The developed questionnaires evaluate the quality of knowledge management (development, use and distribution of knowledge), type of knowledge which is considered important for organization (at present and in future) and the benefits of knowledge transfer (immediate and in perspective). The developed questionnaires permit along with the evaluation of others groups activities, an auto-evaluation for the activity of the group where the subject is involved. (authors)

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...

Digging into construction: social networks and their potential impact on knowledge transfer.

Science.gov (United States)

Carlan, N A; Kramer, D M; Bigelow, P; Wells, R; Garritano, E; Vi, P

2012-01-01

A six-year study is exploring the most effective ways to disseminate ideas to reduce musculoskeletal disorders (MSDs) in the construction sector. The sector was targeted because MSDs account for 35% of all lost time injuries. This paper reports on the organization of the construction sector, and maps potential pathways of communication, including social networks, to set the stage for future dissemination. The managers, health and safety specialists, union health and safety representatives, and 28 workers from small, medium and large construction companies participated. Over a three-year period, data were collected from 47 qualitative interviews. Questions were guided by the PARIHS (Promoting Action on Research Implementation in Health Services) knowledge-transfer conceptual framework and adapted for the construction sector. The construction sector is a complex and dynamic sector, with non-linear reporting relationships, and divided and diluted responsibilities. Four networks were identified that can potentially facilitate the dissemination of new knowledge: worksite-project networks; union networks; apprenticeship program networks; and networks established by the Construction Safety Association/Infrastructure Health and Safety Association. Flexible and multi-directional lines of communication must be used in this complex environment. This has implications for the future choice of knowledge transfer strategies.

Knowledge Management for Nuclear Research and Development Organizations

International Nuclear Information System (INIS)

2012-05-01

This publication elaborates on the role of nuclear knowledge management in a research and development (R and D) context, and on the importance of facilitating innovation and future development of nuclear technologies for nuclear power, its associated fuel cycles and nuclear applications in medicine, industry and agriculture. It highlights aspects including transferring and preserving knowledge, exchanging information, establishing and supporting cooperative networks, and training the next generation of nuclear experts. It concludes with basic concepts, trends and key drivers for nuclear knowledge management to R and D project managers and other workers from nuclear R and D organizations.

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.

The Formation of the Concept of Knowledge Potencial in Networking Society

Directory of Open Access Journals (Sweden)

Ilona Skačkauskienė

2015-05-01

Full Text Available As the information society is gradually transforming into the knowledge society, it is affecting not only consumer preferences and needs but also the changes in corporate activities. Both corporate performance and potential depend on the ability to evaluate, manage and develop available knowledge. Systematic and purposeful application of knowledge gives advantage to companies, whereas personnel knowledge, ideas and skills serve as an impetus of a successful organisation. The article offers a critical view of the concept of knowledge used by researchers and introduces a new definition, employs a new concept of knowledge potential that combines the knowledge of all types and is based on various analysed knowledge types, and assesses the concept of networking and its importance to knowledge potential.

How Is BI Used in Industry?: Report from a Knowledge Exchange Network

DEFF Research Database (Denmark)

Pedersen, Torben Bach

2004-01-01

little information on how BI is used in industry is currently available to the BI research community. This industrial paper presents the experiences that the author has obtained from running a number of knowledge exchange activities related to BI, e.g., network meetings and workshops, with partners...... in industry. The paper presents the network participants, the topics of the knowledge exchange activities, and the lessons learned over the last couple of years. For example, lessons relate to the popularity of OLAP and data mining tools, the time spent on different tasks in BI projects, and the importance...

A study of knowledge supernetworks and network robustness in different business incubators

Science.gov (United States)

Zhang, Haihong; Wu, Wenqing; Zhao, Liming

2016-04-01

As the most important intangible resource of the new generation of business incubators, knowledge has been studied extensively, particularly with respect to how it spreads among incubating firms through knowledge networks. However, these homogeneous networks do not adequately describe the heterogeneity of incubating firms in different types of business incubators. To solve the problem of heterogeneity, the notion of a knowledge supernetwork has been used both to construct a knowledge interaction model among incubating firms and to distinguish social network relationships from knowledge network relationships. The process of knowledge interaction and network evolution can then be simulated with a few rules for incubating firms regarding knowledge innovation/absorption, social network connection, and entry and exit, among other aspects. Knowledge and networks have been used as performance indicators to evaluate the evolution of knowledge supernetworks. Moreover, we study the robustness of incubating firms' social networks by employing four types of attack strategies. Based on our simulation results, we conclude that there have been significant knowledge interaction and network evolution among incubating firms on a periodic basis and that both specialized and diversified business incubators have every advantage necessary in terms of both knowledge and networks to cultivate start-up companies. As far as network robustness is concerned, there is no obvious difference between the two types of business incubators with respect to the stability of their network structures, but specialized business incubators have stronger network communication abilities than diversified business incubators.

The Network of Excellence 'Knowledge-based Multicomponent Materials for Durable and Safe Performance'

International Nuclear Information System (INIS)

Moreno, Arnaldo

2008-01-01

The Network of Excellence 'Knowledge-based Multicomponent Materials for Durable and Safe Performance' (KMM-NoE) consists of 36 institutional partners from 10 countries representing leading European research institutes and university departments (25), small and medium enterprises, SMEs (5) and large industry (7) in the field of knowledge-based multicomponent materials (KMM), more specifically in intermetallics, metal-ceramic composites, functionally graded materials and thin layers. The main goal of the KMM-NoE (currently funded by the European Commission) is to mobilise and concentrate the fragmented scientific potential in the KMM field to create a durable and efficient organism capable of developing leading-edge research while spreading the accumulated knowledge outside the Network and enhancing the technological skills of the related industries. The long-term strategic goal of the KMM-NoE is to establish a self-supporting pan-European institution in the field of knowledge-based multicomponent materials--KMM Virtual Institute (KMM-VIN). It will combine industry oriented research with educational and training activities. The KMM Virtual Institute will be founded on three main pillars: KMM European Competence Centre, KMM Integrated Post-Graduate School, KMM Mobility Programme. The KMM-NoE is coordinated by the Institute of Fundamental Technological Research (IPPT) of the Polish Academy of Sciences, Warsaw, Poland

The Network of Excellence ``Knowledge-based Multicomponent Materials for Durable and Safe Performance''

Science.gov (United States)

Moreno, Arnaldo

2008-02-01

The Network of Excellence "Knowledge-based Multicomponent Materials for Durable and Safe Performance" (KMM-NoE) consists of 36 institutional partners from 10 countries representing leading European research institutes and university departments (25), small and medium enterprises, SMEs (5) and large industry (7) in the field of knowledge-based multicomponent materials (KMM), more specifically in intermetallics, metal-ceramic composites, functionally graded materials and thin layers. The main goal of the KMM-NoE (currently funded by the European Commission) is to mobilise and concentrate the fragmented scientific potential in the KMM field to create a durable and efficient organism capable of developing leading-edge research while spreading the accumulated knowledge outside the Network and enhancing the technological skills of the related industries. The long-term strategic goal of the KMM-NoE is to establish a self-supporting pan-European institution in the field of knowledge-based multicomponent materials—KMM Virtual Institute (KMM-VIN). It will combine industry oriented research with educational and training activities. The KMM Virtual Institute will be founded on three main pillars: KMM European Competence Centre, KMM Integrated Post-Graduate School, KMM Mobility Programme. The KMM-NoE is coordinated by the Institute of Fundamental Technological Research (IPPT) of the Polish Academy of Sciences, Warsaw, Poland.

SISL and SIRL: Two knowledge dissemination models with leader nodes on cooperative learning networks

Science.gov (United States)

Li, Jingjing; Zhang, Yumei; Man, Jiayu; Zhou, Yun; Wu, Xiaojun

2017-02-01

Cooperative learning is one of the most effective teaching methods, which has been widely used. Students' mutual contact forms a cooperative learning network in this process. Our previous research demonstrated that the cooperative learning network has complex characteristics. This study aims to investigating the dynamic spreading process of the knowledge in the cooperative learning network and the inspiration of leaders in this process. To this end, complex network transmission dynamics theory is utilized to construct the knowledge dissemination model of a cooperative learning network. Based on the existing epidemic models, we propose a new susceptible-infected-susceptible-leader (SISL) model that considers both students' forgetting and leaders' inspiration, and a susceptible-infected-removed-leader (SIRL) model that considers students' interest in spreading and leaders' inspiration. The spreading threshold λcand its impact factors are analyzed. Then, numerical simulation and analysis are delivered to reveal the dynamic transmission mechanism of knowledge and leaders' role. This work is of great significance to cooperative learning theory and teaching practice. It also enriches the theory of complex network transmission dynamics.

TRANSAUTOPHAGY: European network for multidisciplinary research and translation of autophagy knowledge

Science.gov (United States)

Casas, Caty; Codogno, Patrice; Pinti, Marcello; Batoko, Henri; Morán, María; Proikas-Cezanne, Tassula; Reggiori, Fulvio; Sirko, Agnieszka; Soengas, María S; Velasco, Guillermo; Lafont, Frank; Lane, Jon; Faure, Mathias; Cossarizza, Andrea

2016-01-01

abstract A collaborative consortium, named “TRANSAUTOPHAGY,” has been created among European research groups, comprising more than 150 scientists from 21 countries studying diverse branches of basic and translational autophagy. The consortium was approved in the framework of the Horizon 2020 Program in November 2015 as a COST Action of the European Union (COST means: CO-operation in Science and Technology), and will be sponsored for 4 years. TRANSAUTOPHAGY will form an interdisciplinary platform for basic and translational researchers, enterprises and stakeholders of diverse disciplines (including nanotechnology, bioinformatics, physics, chemistry, biology and various medical disciplines). TRANSAUTOPHAGY will establish 5 different thematic working groups, formulated to cooperate in research projects, share ideas, and results through workshops, meetings and short term exchanges of personnel (among other initiatives). TRANSAUTOPHAGY aims to generate breakthrough multidisciplinary knowledge about autophagy regulation, and to boost translation of this knowledge into biomedical and biotechnological applications. PMID:27046256

TRANSAUTOPHAGY: European network for multidisciplinary research and translation of autophagy knowledge.

Science.gov (United States)

Casas, Caty; Codogno, Patrice; Pinti, Marcello; Batoko, Henri; Morán, María; Proikas-Cezanne, Tassula; Reggiori, Fulvio; Sirko, Agnieszka; Soengas, María S; Velasco, Guillermo; Lafont, Frank; Lane, Jon; Faure, Mathias; Cossarizza, Andrea

2016-01-01

A collaborative consortium, named "TRANSAUTOPHAGY," has been created among European research groups, comprising more than 150 scientists from 21 countries studying diverse branches of basic and translational autophagy. The consortium was approved in the framework of the Horizon 2020 Program in November 2015 as a COST Action of the European Union (COST means: CO-operation in Science and Technology), and will be sponsored for 4 years. TRANSAUTOPHAGY will form an interdisciplinary platform for basic and translational researchers, enterprises and stakeholders of diverse disciplines (including nanotechnology, bioinformatics, physics, chemistry, biology and various medical disciplines). TRANSAUTOPHAGY will establish 5 different thematic working groups, formulated to cooperate in research projects, share ideas, and results through workshops, meetings and short term exchanges of personnel (among other initiatives). TRANSAUTOPHAGY aims to generate breakthrough multidisciplinary knowledge about autophagy regulation, and to boost translation of this knowledge into biomedical and biotechnological applications.

The effects of online social networks on tacit knowledge transmission

Science.gov (United States)

Zhu, Hong-Miao; Zhang, Sheng-Tai; Jin, Zhen

2016-01-01

Due to the popular use of online social networks in today's world, how to propagate employees' tacit knowledge via online social networks has attracted managers' attention, which is critical to enhance the competitiveness of firms. In this paper, we propose a tacit knowledge transmission model on networks with even mixing based on the propagation property of tacit knowledge and the application of online social networks. We consider two routes of transmission, which are contact through online social networks and face-to-face physical contact, and derive the threshold that governs whether or not a kind of tacit knowledge can be shared in an organization with few initial employees who have acquired it. The impact of the degree distribution of the users' contact network on the transmission is investigated analytically. Some numerical simulations are presented to support the theoretical results. We perform the sensitivity analysis of the threshold in terms of the propagation parameters and confirm that online social networks contribute significantly to enhancing the transmission of tacit knowledge among employees.

The Sydney West Knowledge Portal: Evaluating the Growth of a Knowledge Portal to Support Translational Research.

Science.gov (United States)

Janssen, Anna; Robinson, Tracy Elizabeth; Provan, Pamela; Shaw, Tim

2016-06-29

The Sydney West Translational Cancer Research Centre is an organization funded to build capacity for translational research in cancer. Translational research is essential for ensuring the integration of best available evidence into practice and for improving patient outcomes. However, there is a low level of awareness regarding what it is and how to conduct it optimally. One solution to addressing this gap is the design and deployment of web-based knowledge portals to disseminate new knowledge and engage with and connect dispersed networks of researchers. A knowledge portal is an web-based platform for increasing knowledge dissemination and management in a specialized area. To measure the design and growth of an web-based knowledge portal for increasing individual awareness of translational research and to build organizational capacity for the delivery of translational research projects in cancer. An adaptive methodology was used to capture the design and growth of an web-based knowledge portal in cancer. This involved stakeholder consultations to inform initial design of the portal. Once the portal was live, site analytics were reviewed to evaluate member usage of the portal and to measure growth in membership. Knowledge portal membership grew consistently for the first 18 months after deployment, before leveling out. Analysis of site metrics revealed members were most likely to visit portal pages with community-generated content, particularly pages with a focus on translational research. This was closely followed by pages that disseminated educational material about translational research. Preliminary data from this study suggest that knowledge portals may be beneficial tools for translating new evidence and fostering an environment of communication and collaboration.

Analyzing the role of social networks in mapping knowledge flows: A case of a pharmaceutical company in India

Directory of Open Access Journals (Sweden)

V. Murale

2014-03-01

Full Text Available Knowledge Management literature lays emphasis on the fact that a major chunk of knowledge dissemination occurs through the various forms of social networks that exist within the organizations. A social network is a simple structure comprising of set of actors or nodes that may have relationships ties with one another. The social network analysis (SNA will help in mapping and measuring formal and informal relationships to understand what facilitates or impedes the knowledge flows that bind interacting units. This paper aims at studying the knowledge flows that happen through the social networks. It first, provides a conceptual framework and review of literature on the recent research and application of knowledge mapping and SNA, followed by a discussion on application of SNA for mapping knowledge flows in a pharmaceutical firm. In the last part, Knowledge maps are presented to illustrate the actual knowledge flow in firm.

SoyFN: a knowledge database of soybean functional networks.

Science.gov (United States)

Xu, Yungang; Guo, Maozu; Liu, Xiaoyan; Wang, Chunyu; Liu, Yang

2014-01-01

Many databases for soybean genomic analysis have been built and made publicly available, but few of them contain knowledge specifically targeting the omics-level gene-gene, gene-microRNA (miRNA) and miRNA-miRNA interactions. Here, we present SoyFN, a knowledge database of soybean functional gene networks and miRNA functional networks. SoyFN provides user-friendly interfaces to retrieve, visualize, analyze and download the functional networks of soybean genes and miRNAs. In addition, it incorporates much information about KEGG pathways, gene ontology annotations and 3'-UTR sequences as well as many useful tools including SoySearch, ID mapping, Genome Browser, eFP Browser and promoter motif scan. SoyFN is a schema-free database that can be accessed as a Web service from any modern programming language using a simple Hypertext Transfer Protocol call. The Web site is implemented in Java, JavaScript, PHP, HTML and Apache, with all major browsers supported. We anticipate that this database will be useful for members of research communities both in soybean experimental science and bioinformatics. Database URL: http://nclab.hit.edu.cn/SoyFN.

Semantic Data Integration and Knowledge Management to Represent Biological Network Associations.

Science.gov (United States)

Losko, Sascha; Heumann, Klaus

2017-01-01

The vast quantities of information generated by academic and industrial research groups are reflected in a rapidly growing body of scientific literature and exponentially expanding resources of formalized data, including experimental data, originating from a multitude of "-omics" platforms, phenotype information, and clinical data. For bioinformatics, the challenge remains to structure this information so that scientists can identify relevant information, to integrate this information as specific "knowledge bases," and to formalize this knowledge across multiple scientific domains to facilitate hypothesis generation and validation. Here we report on progress made in building a generic knowledge management environment capable of representing and mining both explicit and implicit knowledge and, thus, generating new knowledge. Risk management in drug discovery and clinical research is used as a typical example to illustrate this approach. In this chapter we introduce techniques and concepts (such as ontologies, semantic objects, typed relationships, contexts, graphs, and information layers) that are used to represent complex biomedical networks. The BioXM™ Knowledge Management Environment is used as an example to demonstrate how a domain such as oncology is represented and how this representation is utilized for research.

Scotland's knowledge network: a progress report on Knowledge into Action.

Science.gov (United States)

Wales, Ann; Boyle, Derek

2015-11-01

Launched in 2012, Knowledge into Action is the national knowledge management strategy for the health and social care workforce in Scotland. It is transforming the role of the national digital knowledge service--NHS Education for Scotlands' Knowledge Network--and the NHSS librarian role to offer more active, tailored support for translating knowledge into frontline clinical practice. This includes the development of a national evidence search and summary service, help with converting knowledge into practical and usable formats for easy use at point of care and with using digital tools to share clinicians' learning, experience and expertise. Through this practical support, Knowledge into Action is contributing to quality and safety outcomes across NHS Scotland, building clinicians' capacity and capability in applying knowledge in frontline practice and service improvement. © The Author(s) 2015.

Knowledge Access in Rural Inter-connected Areas Network ...

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

Knowledge Access in Rural Inter-connected Areas Network (KariaNet) - Phase II ... the existing network to include two thematic networks on food security and rural ... Woman conquering male business in Yemen : Waleya's micro-enterprise.

Protocol for a thematic synthesis to identify key themes and messages from a palliative care research network.

LENUS (Irish Health Repository)

Nicholson, Emma

2016-10-21

Research networks that facilitate collaborative research are increasing both regionally and globally and such collaborations contribute greatly to knowledge transfer particularly in health research. The Palliative Care Research Network is an Irish-based network that seeks to create opportunities and engender a collaborative environment to encourage innovative research that is relevant for policy and practice. The current review outlines a methodology to identify cross-cutting messages to identify how dissemination outputs can be optimized to ensure that key messages from this research reaches all knowledge users.

Knowledge Contribution in Knowledge Networks: Effects of Participants’ Central Positions on Contribution Quality

NARCIS (Netherlands)

Sedighi, M.; Hamedi, Mohsen

2016-01-01

Knowledge networks play a crucial role in contemporary organisations to improve participation for knowledge sharing. Examining employees’ knowledge contribution play an important role for in success implementing knowledgenetworks. Whereas most part of studies emphasis on the quantity aspect of

Knowledge-based network ties in early rapidly internationalising small firms

DEFF Research Database (Denmark)

Masango, Shingairai Grace; Marinova, Svetla Trifonova

2014-01-01

strong knowledge-based contacts. The ERISF acts as the source that provides the technical information and knowledge, which is then adopted by their network partners. This means that the ERISF’s product and technological capabilities drive the international knowledge creation process. The findings provide...... a holistic characterisation of the concept of knowledge in ERISF internationalisation. Within their interorganisational relationships, ERISFs are involved in knowledge creation, knowledge transfer and knowledge adoption activities. Network ties developed in existing knowledge pools are extended to new...

Dearfield Dream Project: Developing an Interdisciplinary Historical/Cultural Research Network

Directory of Open Access Journals (Sweden)

Robert Brunswig

2013-08-01

Full Text Available The Dearfield Dream Project is a collaborative research initiative to conduct historical, cultural, archaeological, and environmental studies on the early 20th Century African-American colony site of Dearfield, Colorado, USA. Because the breadth and significance of the Dearfield Project requires an interdisciplinary research team, a network of research collaborators has been assembled. This research network seeks to discover, preserve, and disseminate knowledge of the site and its surrounding farmsteads’ economic, social, political, and environmental history for better understanding and interpretation of its contributions to Colorado and U.S. history. Herein, we detail progress that has been made on this important historical/cultural research project. Further, we outline the future of the Dearfield research network along with our current and anticipated subjects of inquiry.

The structure and dynamics of knowledge networks: a proximity approach

NARCIS (Netherlands)

ter Wal, L.J.

2009-01-01

Local knowledge networks are often held responsible for the competitiveness and innovativeness of geographical clusters. However, the literature on spatial clustering tends to assume that firms in clusters have equal access to the knowledge that circulates in those networks and that this knowledge

SARNET: Severe accident research network of excellence

International Nuclear Information System (INIS)

Albiol, T.; Van Dorsselaere, J. P.; Chaumont, B.; Haste, T.; Journeau, Ch.; Meyer, L.; Sehgal, Bal Raj; Schwinges, Bernd; Beraha, D.; Annunziato, A.; Zeyen, R.

2010-01-01

Fifty-one organisations network in SARNET (Severe Accident Research Network of Excellence) their research capacities in order to resolve the most important pending issues for enhancing, with regard to Severe Accidents (SA), the safety of existing and future Nuclear Power Plants (NPPs). This project. co-funded by the European Commission (EC) under the 6. Framework Programme, has been defined in order to optimise the use of the available means and to constitute sustainable research groups in the European Union. SARNET tackles the fragmentation that may exist between the different national R and D programmes, in defining common research programmes and developing common computer tools and methodologies for safety assessment. SARNET comprises most of the organisations involved in SA research in Europe, plus Canada. To reach these objectives, all the organisations networked in SARNET contributed to a joint Programme of Activities, which consisted of: Implementation of an advanced communication tool for accessing all project information, fostering exchange of information, and managing documents; Harmonization and re-orientation of the research programmes, and definition of new ones; Analysis of the experimental results provided by research programmes in order to elaborate a common understanding of relevant phenomena; Development of the ASTEC code (integral computer code used to predict the NPP behaviour during a postulated SA), which capitalizes in terms of physical models the knowledge produced within SARNET; Development of Scientific Databases in which all the results of research programmes are stored in a common format (DATANET); Development of a common methodology for Probabilistic Safety Assessment of NPPs; Development of short courses and writing a textbook on Severe Accidents for students and researchers; Promotion of personnel mobility amongst various European organisations. This paper presents the major achievements after four and a half years of operation of the

Classification framework of knowledge transfer issues across value networks

NARCIS (Netherlands)

Bagheri, S.; Kusters, R.J.; Trienekens, J.J.M.; van der Zandt, Hugo; Cavalieri, S.; Ceretti, E.; Tolio, T.; Pezzotta, G.

2016-01-01

Co-creating integrated solutions with customers requires collaboration of different partners within a value network. In this emerging context, knowledge is considered as a foundation for value co-creation. Therefore, identifying different types of issues, with which value network actors in knowledge

Modelling students' knowledge organisation: Genealogical conceptual networks

Science.gov (United States)

Koponen, Ismo T.; Nousiainen, Maija

2018-04-01

Learning scientific knowledge is largely based on understanding what are its key concepts and how they are related. The relational structure of concepts also affects how concepts are introduced in teaching scientific knowledge. We model here how students organise their knowledge when they represent their understanding of how physics concepts are related. The model is based on assumptions that students use simple basic linking-motifs in introducing new concepts and mostly relate them to concepts that were introduced a few steps earlier, i.e. following a genealogical ordering. The resulting genealogical networks have relatively high local clustering coefficients of nodes but otherwise resemble networks obtained with an identical degree distribution of nodes but with random linking between them (i.e. the configuration-model). However, a few key nodes having a special structural role emerge and these nodes have a higher than average communicability betweenness centralities. These features agree with the empirically found properties of students' concept networks.

Mapping the Field of Educational Administration Research: A Journal Citation Network Analysis

Science.gov (United States)

Wang, Yinying; Bowers, Alex J.

2016-01-01

Purpose: The purpose of this paper is to uncover how knowledge is exchanged and disseminated in the educational administration research literature through the journal citation network. Design/ Methodology/Approach: Drawing upon social network theory and citation network studies in other disciplines, the authors constructed an educational…

Agricultural science in the wild: a social network analysis of farmer knowledge exchange.

Science.gov (United States)

Wood, Brennon A; Blair, Hugh T; Gray, David I; Kemp, Peter D; Kenyon, Paul R; Morris, Steve T; Sewell, Alison M

2014-01-01

Responding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent research on alternative approaches has focused on the innovation systems formed by interactions between heterogeneous actors. Rather than linear transfer, systems theory highlights network facilitation as a specialized function. This paper contributes to our understanding of such facilitation by investigating the networks in which farmers discuss science. We report findings based on the study of a pastoral farming experiment collaboratively undertaken by a group of 17 farmers and five scientists. Analysis of prior contact and alter sharing between the group's members indicates strongly tied and decentralized networks. Farmer knowledge exchanges about the experiment have been investigated using a mix of quantitative and qualitative methods. Network surveys identified who the farmers contacted for knowledge before the study began and who they had talked to about the experiment by 18 months later. Open-ended interviews collected farmer statements about their most valuable contacts and these statements have been thematically analysed. The network analysis shows that farmers talked about the experiment with 192 people, most of whom were fellow farmers. Farmers with densely tied and occupationally homogeneous contacts grew their networks more than did farmers with contacts that are loosely tied and diverse. Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques. Taken together, these findings suggest that farmers deliberate about science in intensive and durable networks that have significant implications for theorizing

Agricultural science in the wild: a social network analysis of farmer knowledge exchange.

Directory of Open Access Journals (Sweden)

Brennon A Wood

Full Text Available Responding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent research on alternative approaches has focused on the innovation systems formed by interactions between heterogeneous actors. Rather than linear transfer, systems theory highlights network facilitation as a specialized function. This paper contributes to our understanding of such facilitation by investigating the networks in which farmers discuss science. We report findings based on the study of a pastoral farming experiment collaboratively undertaken by a group of 17 farmers and five scientists. Analysis of prior contact and alter sharing between the group's members indicates strongly tied and decentralized networks. Farmer knowledge exchanges about the experiment have been investigated using a mix of quantitative and qualitative methods. Network surveys identified who the farmers contacted for knowledge before the study began and who they had talked to about the experiment by 18 months later. Open-ended interviews collected farmer statements about their most valuable contacts and these statements have been thematically analysed. The network analysis shows that farmers talked about the experiment with 192 people, most of whom were fellow farmers. Farmers with densely tied and occupationally homogeneous contacts grew their networks more than did farmers with contacts that are loosely tied and diverse. Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques. Taken together, these findings suggest that farmers deliberate about science in intensive and durable networks that have significant

Knowledge diffusion in complex networks by considering time-varying information channels

Science.gov (United States)

Zhu, He; Ma, Jing

2018-03-01

In this article, based on a model of epidemic spreading, we explore the knowledge diffusion process with an innovative mechanism for complex networks by considering time-varying information channels. To cover the knowledge diffusion process in homogeneous and heterogeneous networks, two types of networks (the BA network and the ER network) are investigated. The mean-field theory is used to theoretically draw the knowledge diffusion threshold. Numerical simulation demonstrates that the knowledge diffusion threshold is almost linearly correlated with the mean of the activity rate. In addition, under the influence of the activity rate and distinct from the classic Susceptible-Infected-Susceptible (SIS) model, the density of knowers almost linearly grows with the spreading rate. Finally, in consideration of the ubiquitous mechanism of innovation, we further study the evolution of knowledge in our proposed model. The results suggest that compared with the effect of the spreading rate, the average knowledge version of the population is affected more by the innovation parameter and the mean of the activity rate. Furthermore, in the BA network, the average knowledge version of individuals with higher degree is always newer than those with lower degree.

Knowledge Management and Innovation: The Role of Virtual Social Networks in Innovative Consumer Behavior

Directory of Open Access Journals (Sweden)

Andre Grutzmann

2013-04-01

Full Text Available Online social networks made up of actors with different degrees of innovativeness may allow knowledge management to collect new ideas and measure their acceptance. This research investigates consumer innovativeness and relationships with the uses and participation in social networks. This research has a quantitative exploratory scope, and among the main findings, we can mention that the dimensions of the adopted scale were corroborated by using factor analysis. The findings cannot be generalized, but there are evidences that relationship between social networking and innovative consumer behavior exists. Although there are limitations, correlations were found between the social dimension of innovativeness and information search in the networks and also the use of social networking information for the decision to purchase new products.

Knowledge Sharing via Social Networking Platforms in Organizations

Science.gov (United States)

Kettles, Degan

2012-01-01

Knowledge Management Systems have been actively promoted for decades within organizations but have frequently failed to be used. Recently, deployments of enterprise social networking platforms used for knowledge management have become commonplace. These platforms help harness the knowledge of workers by serving as repositories of knowledge as well…

Evaluation of Residential Consumers Knowledge of Wireless Network Security and Its Correlation with Identity Theft

Science.gov (United States)

Kpaduwa, Fidelis Iheanyi

2010-01-01

This current quantitative correlational research study evaluated the residential consumers' knowledge of wireless network security and its relationship with identity theft. Data analysis was based on a sample of 254 randomly selected students. All the study participants completed a survey questionnaire designed to measure their knowledge of…

Emerging Fabric of Science: Persistent Identifiers and Knowledge Networks

Science.gov (United States)

Hugo, W.

2017-12-01

There is an increasing emphasis on the use of persistent identifiers in the description of scientific activity, whether this is done to cite scholarly publications and research output, reliably identify role players such as funders and researchers, or to provide long-lasting references to controlled vocabulary. The ICSU World Data System has been promoting the establishment of a "Knowledge Network" to describe research activity, realising that parts of the network will be established as a federated `system', based on linkages between registries of persistent identifiers. In addition, there is a growing focus on not only the relationship between these major role players and associated digital objects, but also on the processes of science: provenance, reproducibility, and re-usability being significant topics of discussion. The paper will focus on description of the `Fabric of Science' from the perspectives of both structure and processes, review the state of implementation of real services and infrastructure in support of it. A case is made for inclusion of persistent identifiers into the mainstream activities of scientists and data infrastructure managers, and for the development of services, such as Scholix, to make better use of the relationships between digital objects and major role players. A proposal is made for the adoption of a federated system of services that are based on a hybrid graph-object framework similar to Scholix for recording the activity of scientific research. Finally, links to related ideas are explored: novel ways of representing of knowledge (such as Nanopublications) and the possibility that the publication paradigm currently in use may have to be amended.

Romanian knowledge transfer network in nuclear physics and engineering - REFIN

International Nuclear Information System (INIS)

Ghitescu, Petre; Prisecaru, Ilie

2007-01-01

According to the requirements of the Romanian Nuclear Programme regarding the education and training of the skilled personnel for the nuclear facilities, a knowledge transfer network named REFIN (in Romanian: Retea Educationala in Fizica si Ingineria Nucleara) was developed since 2005. The knowledge target field is nuclear physics and engineering. The main objective of this network is to develop an effective, flexible and modern educational system in the nuclear physics and engineering area which could meet the requirements of all known types of nuclear facilities and therewith be redundant with the perspectives of the European Research Area (FP7, EURATOM). A global strategy was proposed in order to harmonize the curricula between the network facilities to implement pilot modern teaching programs (courses/modules), to introduce advanced learning methods (as Systematic Approach to Training, e-learning and distance-learning), to strengthen and better use the existing research infrastructures of the research institutes in network. The education and training strategy is divided into several topics: university engineering , master, post-graduate, Ph.D. degree, post-doctoral activity, training for industry, improvement. For the first time in our country, a modular scheme is used allowing staff with different technical background to participate at different levels. In this respect, the European system with transferable credits (ECTS) is used. Based on this strategy, courses in 'Radioactive Waste Management' and 'Numerical and Experimental Methods in Reactor Physics' for both MS students and for industry. This way the training activity which a student attends will allow him or her to be involved, depending on specific professional needs, into a flexible educational scheme. This scheme will ensure competence and enhancement and also the possibility of qualification development and a better mobility on labour market. This kind of activity is already in progress in the

Knowledge-sourcing of R&D workers in different job positions: contextualising external personal knowledge networks

OpenAIRE

Huber, Franz

2013-01-01

This paper systematically examines the role of external personal knowledge networks vis-à-vis alternative sources of work-related knowledge. Specific hypotheses on whether the importance of external personal networks vary for job positions, knowledge functions and sources of competitiveness are examined. The study is based on a survey and interviews with 105 R&D workers in 46 Information Technology (IT) firms in the Greater Cambridge Region (UK).The results show that alternative sources o...

OWL Reasoning Framework over Big Biological Knowledge Network

Science.gov (United States)

Chen, Huajun; Chen, Xi; Gu, Peiqin; Wu, Zhaohui; Yu, Tong

2014-01-01

Recently, huge amounts of data are generated in the domain of biology. Embedded with domain knowledge from different disciplines, the isolated biological resources are implicitly connected. Thus it has shaped a big network of versatile biological knowledge. Faced with such massive, disparate, and interlinked biological data, providing an efficient way to model, integrate, and analyze the big biological network becomes a challenge. In this paper, we present a general OWL (web ontology language) reasoning framework to study the implicit relationships among biological entities. A comprehensive biological ontology across traditional Chinese medicine (TCM) and western medicine (WM) is used to create a conceptual model for the biological network. Then corresponding biological data is integrated into a biological knowledge network as the data model. Based on the conceptual model and data model, a scalable OWL reasoning method is utilized to infer the potential associations between biological entities from the biological network. In our experiment, we focus on the association discovery between TCM and WM. The derived associations are quite useful for biologists to promote the development of novel drugs and TCM modernization. The experimental results show that the system achieves high efficiency, accuracy, scalability, and effectivity. PMID:24877076

Transfer of Knowledge on Agroforestry Management Practices: the Structure of Farmer Advice Networks

Directory of Open Access Journals (Sweden)

Marney E. Isaac

2007-12-01

Full Text Available Access to knowledge on farm management practices is essential for the maintenance of productive agroforestry systems. Farmers who lack the means to acquire farming knowledge from formal sources often rely on information within their informal social networks. However, little research has explored the explicit structure of farmer communication patterns. We examined advice network structures by using farmer attributes, i.e., kin relationships, community involvement, and imitation, to characterize structural positions and investigated the consequences of such structure on farming practices in cocoa agroforestry systems in Ghana, West Africa. Furthermore, we used a multicommunity approach; we constructed networks for four communities to increase replication and enhance the generality of our conclusions. A high density of advice ties occurred among a small group of farmers, indicating a core-periphery structure. Settler farmers composed 73% of core position members, suggesting that social proximity did not control the formation of informal advice structures. Because core farmers were highly participative in community activities, the promotion of community involvement may facilitate the movement of knowledge and social exchange to strengthen informal networks. Farmers in both core and peripheral structural positions indicated that they observed fellow farmers and subsequently adopted their practices. Of highly sought farmers, 84% used external information, predominately from government institutions, thus functioning as bridging links between formal and informal networks. Both external and farmer-derived sources of knowledge of agroforestry practices were transferred through informal advice networks, providing available information throughout the farming community, as well as a foundation for community-based adaptive management.

Knowledge sharing Network analysis and its relationship with the experience and education of librarians at Ferdowsi University of Mashhad

Directory of Open Access Journals (Sweden)

Maryam Salami

2017-03-01

Full Text Available As human resources are important resources in organization, it is important for organizations to use knowledge organization of human resources. Thus managing and sharing knowledge in organizations is so important. Libraries as well service-oriented and knowledge-based organizations, librarians’ contribution of knowledge management is important. The study tries to determine Ferdowsi University of Mashhad librarians’ participation in the process of knowledge sharing by knowledge sharing network analysis method. The application used for social network analysis is UCINET6. Determining the degree of centralization in the network of knowledge sharing can also help to detect factors may influence it. In this study, the degree of centralization in the network of knowledge sharing communicating with the librarians' qualifications and work experiences were tested. It is also determined the degree centralization of the whole of the knowledge sharing network with 26.76% that is not so satisfactory.  The results show that despite the positive relationship between level of education and the centrality of people, the experience no significant relationship. Statistically, there is also no significant difference between men and women in knowledge sharing degrees of librarians in Ferdowsi University of Mashhad. At the end, according to the results of this research some suggestions are given to increase degrees of knowledge sharing of librarians and generally knowledge sharing degree of the network knowledge sharing.

Extending Wireless Rechargeable Sensor Network Life without Full Knowledge.

Science.gov (United States)

Najeeb, Najeeb W; Detweiler, Carrick

2017-07-17

When extending the life of Wireless Rechargeable Sensor Networks (WRSN), one challenge is charging networks as they grow larger. Overcoming this limitation will render a WRSN more practical and highly adaptable to growth in the real world. Most charging algorithms require a priori full knowledge of sensor nodes' power levels in order to determine the nodes that require charging. In this work, we present a probabilistic algorithm that extends the life of scalable WRSN without a priori power knowledge and without full network exploration. We develop a probability bound on the power level of the sensor nodes and utilize this bound to make decisions while exploring a WRSN. We verify the algorithm by simulating a wireless power transfer unmanned aerial vehicle, and charging a WRSN to extend its life. Our results show that, without knowledge, our proposed algorithm extends the life of a WRSN on average 90% of what an optimal full knowledge algorithm can achieve. This means that the charging robot does not need to explore the whole network, which enables the scaling of WRSN. We analyze the impact of network parameters on our algorithm and show that it is insensitive to a large range of parameter values.

Knowledge Management for Nuclear Research and Development Organizations (Russian Edition)

International Nuclear Information System (INIS)

2016-01-01

This publication elaborates on the role of nuclear knowledge management in a research and development (R&D) context, and on the importance of facilitating innovation and future development of nuclear technologies for nuclear power, its associated fuel cycles, and nuclear applications in medicine, industry and agriculture. It highlights aspects such as transferring and preserving knowledge, exchanging information, establishing and supporting cooperative networks, and training the next generation of nuclear experts. It concludes with basic concepts, trends and key drivers for nuclear knowledge management for R&D project managers and other workers from nuclear R&D organizations.

European TSO Network (ETSON) as Important Part of International Nuclear Safety Knowledge Networks

International Nuclear Information System (INIS)

Teske, Hartmuth; Dierschow, Frank; Eibl-Schwäger, Carla

2014-01-01

Conclusion: • Nuclear networks, including ETSON, are fulfilling their respective and defined specific aims; • Common are such objectives like: – exchange of information; – transfer of knowledge; – support education and training; – collaborate effectively together; – promote coordination and – support harmonization. • Further endeavor are needed to: – Make more significant efforts in promoting the opportunities of collaborative actions; – Use more active the existing features of the modern network tools; – Combine regional or global networks with national web-based knowledge resources by developing and maintaining further the National Nuclear Regulatory Portals. • Nuclear safety and security networks are effectively contributing to build and sustain needed capacities and capabilities

The Knowledge Management Research of Agricultural Scientific Research Institution

Institute of Scientific and Technical Information of China (English)

2010-01-01

Based on the perception of knowledge management from experts specializing in different fields,and experts at home and abroad,the knowledge management of agricultural scientific research institution can build new platform,offer new approach for realization of explicit or tacit knowledge,and promote resilience and innovative ability of scientific research institution.The thesis has introduced functions of knowledge management research of agricultural science.First,it can transform the tacit knowledge into explicit knowledge.Second,it can make all the scientific personnel share knowledge.Third,it is beneficial to the development of prototype system of knowledge management.Fourth,it mainly researches the realization of knowledge management system.Fifth,it can manage the external knowledge via competitive intelligence.Sixth,it can foster talents of knowledge management for agricultural scientific research institution.Seventh,it offers the decision-making service for leaders to manage scientific program.The thesis also discusses the content of knowledge management of agricultural scientific research institution as follows:production and innovation of knowledge;attainment and organizing of knowledge;dissemination and share of knowledge;management of human resources and the construction and management of infrastructure.We have put forward corresponding countermeasures to further reinforce the knowledge management research of agricultural scientific research institution.

Preservation of knowledge through networking with retirees

International Nuclear Information System (INIS)

Barroso, A.C.O.; Reis-Junior, J.S.B.; Monteiro, C.A.; Seary, A

2009-01-01

Loss of emphasis or phasing down of nuclear programs has reduced substantially the hiring of new employees as a result nuclear organizations, in most countries, are experiencing reduction in the workforce and the average age of their technical professionals are around mid fifties. Knowledge management activities with emphasis on knowledge preservation have become a crucial issue for such organizations. This work studied a spontaneous knowledge preservation mechanism at IPEN that could be leveraged and may be replicated in other organizations. Crossing examining publications and human resources data base, with some alias detecting algorithm a large collaboration network involving retirees and current workers of IPEN was unveiled. Using simple indicators and advance techniques of social network analysis the following studies were performed: assessment of the network performance; characterization of its key global properties and detailed structure; characterization and assessment of the role of its key actors; analysis of groups and subgroups patterns; and longitudinal (time evolution) of the network and assessment of its robustness. Rich insights came from this study concerning the value of this mechanism for IPEN and also about the essence of the common interest that constitutes the 'glue' for such mechanism. While more detailed network analysis will still go on for a couple of months, a new phase has already been started with a formulated conceptual model, consisting of four latent variables and thirty six observable ones, to 'explain' at the actor level, in this particular setting what matters when engaging in collaboration. Upon finishing this new phase network data and actors' survey data will be cross correlate to provide a more fully understanding of this amazing mechanism. (author)

Preservation of knowledge through networking with retirees

Energy Technology Data Exchange (ETDEWEB)

Barroso, A.C.O.; Reis-Junior, J.S.B.; Monteiro, C.A. [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)], e-mail: barroso@ipen.br, e-mail: jose.sergio.junior@googlemail.com, e-mail: monteiro@ipen.br; Seary, A [Simon Fraser University School of Comunication, Burnaby, BC (Canada)], e-mail: seary@sfu.ca

2009-07-01

Loss of emphasis or phasing down of nuclear programs has reduced substantially the hiring of new employees as a result nuclear organizations, in most countries, are experiencing reduction in the workforce and the average age of their technical professionals are around mid fifties. Knowledge management activities with emphasis on knowledge preservation have become a crucial issue for such organizations. This work studied a spontaneous knowledge preservation mechanism at IPEN that could be leveraged and may be replicated in other organizations. Crossing examining publications and human resources data base, with some alias detecting algorithm a large collaboration network involving retirees and current workers of IPEN was unveiled. Using simple indicators and advance techniques of social network analysis the following studies were performed: assessment of the network performance; characterization of its key global properties and detailed structure; characterization and assessment of the role of its key actors; analysis of groups and subgroups patterns; and longitudinal (time evolution) of the network and assessment of its robustness. Rich insights came from this study concerning the value of this mechanism for IPEN and also about the essence of the common interest that constitutes the 'glue' for such mechanism. While more detailed network analysis will still go on for a couple of months, a new phase has already been started with a formulated conceptual model, consisting of four latent variables and thirty six observable ones, to 'explain' at the actor level, in this particular setting what matters when engaging in collaboration. Upon finishing this new phase network data and actors' survey data will be cross correlate to provide a more fully understanding of this amazing mechanism. (author)

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

Abstraction networks for terminologies: Supporting management of "big knowledge".

Science.gov (United States)

Halper, Michael; Gu, Huanying; Perl, Yehoshua; Ochs, Christopher

2015-05-01

Terminologies and terminological systems have assumed important roles in many medical information processing environments, giving rise to the "big knowledge" challenge when terminological content comprises tens of thousands to millions of concepts arranged in a tangled web of relationships. Use and maintenance of knowledge structures on that scale can be daunting. The notion of abstraction network is presented as a means of facilitating the usability, comprehensibility, visualization, and quality assurance of terminologies. An abstraction network overlays a terminology's underlying network structure at a higher level of abstraction. In particular, it provides a more compact view of the terminology's content, avoiding the display of minutiae. General abstraction network characteristics are discussed. Moreover, the notion of meta-abstraction network, existing at an even higher level of abstraction than a typical abstraction network, is described for cases where even the abstraction network itself represents a case of "big knowledge." Various features in the design of abstraction networks are demonstrated in a methodological survey of some existing abstraction networks previously developed and deployed for a variety of terminologies. The applicability of the general abstraction-network framework is shown through use-cases of various terminologies, including the Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT), the Medical Entities Dictionary (MED), and the Unified Medical Language System (UMLS). Important characteristics of the surveyed abstraction networks are provided, e.g., the magnitude of the respective size reduction referred to as the abstraction ratio. Specific benefits of these alternative terminology-network views, particularly their use in terminology quality assurance, are discussed. Examples of meta-abstraction networks are presented. The "big knowledge" challenge constitutes the use and maintenance of terminological structures that

NASDA knowledge-based network planning system

Science.gov (United States)

Yamaya, K.; Fujiwara, M.; Kosugi, S.; Yambe, M.; Ohmori, M.

1993-01-01

One of the SODS (space operation and data system) sub-systems, NP (network planning) was the first expert system used by NASDA (national space development agency of Japan) for tracking and control of satellite. The major responsibilities of the NP system are: first, the allocation of network and satellite control resources and, second, the generation of the network operation plan data (NOP) used in automated control of the stations and control center facilities. Up to now, the first task of network resource scheduling was done by network operators. NP system automatically generates schedules using its knowledge base, which contains information on satellite orbits, station availability, which computer is dedicated to which satellite, and how many stations must be available for a particular satellite pass or a certain time period. The NP system is introduced.

Finding gene regulatory network candidates using the gene expression knowledge base.

Science.gov (United States)

Venkatesan, Aravind; Tripathi, Sushil; Sanz de Galdeano, Alejandro; Blondé, Ward; Lægreid, Astrid; Mironov, Vladimir; Kuiper, Martin

2014-12-10

Network-based approaches for the analysis of large-scale genomics data have become well established. Biological networks provide a knowledge scaffold against which the patterns and dynamics of 'omics' data can be interpreted. The background information required for the construction of such networks is often dispersed across a multitude of knowledge bases in a variety of formats. The seamless integration of this information is one of the main challenges in bioinformatics. The Semantic Web offers powerful technologies for the assembly of integrated knowledge bases that are computationally comprehensible, thereby providing a potentially powerful resource for constructing biological networks and network-based analysis. We have developed the Gene eXpression Knowledge Base (GeXKB), a semantic web technology based resource that contains integrated knowledge about gene expression regulation. To affirm the utility of GeXKB we demonstrate how this resource can be exploited for the identification of candidate regulatory network proteins. We present four use cases that were designed from a biological perspective in order to find candidate members relevant for the gastrin hormone signaling network model. We show how a combination of specific query definitions and additional selection criteria derived from gene expression data and prior knowledge concerning candidate proteins can be used to retrieve a set of proteins that constitute valid candidates for regulatory network extensions. Semantic web technologies provide the means for processing and integrating various heterogeneous information sources. The GeXKB offers biologists such an integrated knowledge resource, allowing them to address complex biological questions pertaining to gene expression. This work illustrates how GeXKB can be used in combination with gene expression results and literature information to identify new potential candidates that may be considered for extending a gene regulatory network.

Caribbean Knowledge Economy : Coordinating Network | IDRC ...

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

... Diasporic Tourism and Investment (105228) and Networks for Development : the ... The project will include training in the use of Outcome Mapping for impact ... (UWI) to establish a virtual institute for the Caribbean knowledge economy.

Knowledge Management in the Network Mode: The Case of Private Equity

Directory of Open Access Journals (Sweden)

Britta Klagge

2012-01-01

Full Text Available There has been an ongoing debate on the changing geographical organization of the financial sector and the decreasing importance of regional financial centres. Our contribution explores a fresh perspective on this issue by looking at knowledge and risk management in different parts of the financial sector with an empirical focus on private equity in Germany. The argument we put forward is that the ways in which providers of finance manage knowledge and risk shape their organizational and geographical structure. In our analytical framework we distinguish between three ideal-type modes of knowledge management: the relationship, the data and the network mode. These modes differ in the types of knowledge exchanged, the actors involved and in the role and nature of relevant contacts and relationships. The shift from relationship to data mode in credit provision in Germany serves an example of how a new mode of knowledge management is associated with changes in the geographical organization of financial actors and activities. To illustrate the network mode we then focus on knowledge management in private equity in Germany, which involves a variety of different actors and links both regional and interregional networks. Our empirical research shows that the resulting organizational and geographical struc¬tures are rather complex and have nodes in regional financial centres. While these centres benefit from private equity activities, their chances for re-vitalization and a re-regionalization of financial expertise on the basis of private equity are nonetheless limited. So far, Munich seems to be the (only one location where private equity – cross-fertilized by other local financial actors – has initiated a self-supported development which strengthens Munich as a financial centre.

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.

Knowledge translation of research findings

Directory of Open Access Journals (Sweden)

Grimshaw Jeremy M

2012-05-01

Full Text Available Abstract Background One of the most consistent findings from clinical and health services research is the failure to translate research into practice and policy. As a result of these evidence-practice and policy gaps, patients fail to benefit optimally from advances in healthcare and are exposed to unnecessary risks of iatrogenic harms, and healthcare systems are exposed to unnecessary expenditure resulting in significant opportunity costs. Over the last decade, there has been increasing international policy and research attention on how to reduce the evidence-practice and policy gap. In this paper, we summarise the current concepts and evidence to guide knowledge translation activities, defined as T2 research (the translation of new clinical knowledge into improved health. We structure the article around five key questions: what should be transferred; to whom should research knowledge be transferred; by whom should research knowledge be transferred; how should research knowledge be transferred; and, with what effect should research knowledge be transferred? Discussion We suggest that the basic unit of knowledge translation should usually be up-to-date systematic reviews or other syntheses of research findings. Knowledge translators need to identify the key messages for different target audiences and to fashion these in language and knowledge translation products that are easily assimilated by different audiences. The relative importance of knowledge translation to different target audiences will vary by the type of research and appropriate endpoints of knowledge translation may vary across different stakeholder groups. There are a large number of planned knowledge translation models, derived from different disciplinary, contextual (i.e., setting, and target audience viewpoints. Most of these suggest that planned knowledge translation for healthcare professionals and consumers is more likely to be successful if the choice of knowledge

Knowledge translation of research findings.

Science.gov (United States)

Grimshaw, Jeremy M; Eccles, Martin P; Lavis, John N; Hill, Sophie J; Squires, Janet E

2012-05-31

One of the most consistent findings from clinical and health services research is the failure to translate research into practice and policy. As a result of these evidence-practice and policy gaps, patients fail to benefit optimally from advances in healthcare and are exposed to unnecessary risks of iatrogenic harms, and healthcare systems are exposed to unnecessary expenditure resulting in significant opportunity costs. Over the last decade, there has been increasing international policy and research attention on how to reduce the evidence-practice and policy gap. In this paper, we summarise the current concepts and evidence to guide knowledge translation activities, defined as T2 research (the translation of new clinical knowledge into improved health). We structure the article around five key questions: what should be transferred; to whom should research knowledge be transferred; by whom should research knowledge be transferred; how should research knowledge be transferred; and, with what effect should research knowledge be transferred? We suggest that the basic unit of knowledge translation should usually be up-to-date systematic reviews or other syntheses of research findings. Knowledge translators need to identify the key messages for different target audiences and to fashion these in language and knowledge translation products that are easily assimilated by different audiences. The relative importance of knowledge translation to different target audiences will vary by the type of research and appropriate endpoints of knowledge translation may vary across different stakeholder groups. There are a large number of planned knowledge translation models, derived from different disciplinary, contextual (i.e., setting), and target audience viewpoints. Most of these suggest that planned knowledge translation for healthcare professionals and consumers is more likely to be successful if the choice of knowledge translation strategy is informed by an assessment of the

Research and production of knowledge in Social Work

Directory of Open Access Journals (Sweden)

Aldaíza Sposati

2007-05-01

Full Text Available This article concerns research paths in the field of Social Work. It begins with the polemic concerning the potential and ability of Social Work as a social practice to produce knowledge. It revives the debate concerning the "war of the sciences" between physicists and mathematicians with social analysts, in which the later do not recognize the scientific dimension of research in the social realm. It analyzes the growth of scientific production in Social Work through dissertations and theses in the Graduate Social Work Program. To do so it comments on the analyses of Iamamoto, Silva and Silva and Carvalho and indicates the need to establish a research policy, orient the epistemic community in Social Work and organize a network of researchers centers.

Designing Knowledge Map for Knowledge Management projects Using Network Analysis

Directory of Open Access Journals (Sweden)

heidar najafi

2017-09-01

Full Text Available In this research knowledge management has been studied as an interdisciplinary area. We aim to find an answer for this question that "what are the scientific structure and knowledge map of knowledge management projects regarding these two aspect of subject areas and keywords. For this purpose, nearly 40000 scientific documents including knowledge management as one of their keywords were selected from Scopus database and were studied in various subject areas. In this research,bar charts have been drawn for each index of subject areas and keywords. Besides, using Co-occurrence matrix, adjacency graphs were drawn and then clustered using Average-Link algorithm. Bar charts and graphs were drawn using R and Excel software. The results of this research showed that among the researches on knowledge management in the world, the most relevant scientific fields to knowledge management are Computer Sciences with 32.5%, Business, Management and Accounting with 14.5%, Engineering with 13.7%, Decisive Sciences with 12.6%, Mathematics with 7.07%, and Social Sciences with 6.63%, respectively. The most keywords collocate with knowledge management in the world are Human-Computer Interaction, Information Management, Systems Management, Information Technology, Manufacturing, Acquisition of Knowledge, Semantics, Knowledge Transfer, Ontology and Information Retrieval.

Knowledge network model of the energy consumption in discrete manufacturing system

Science.gov (United States)

Xu, Binzi; Wang, Yan; Ji, Zhicheng

2017-07-01

Discrete manufacturing system generates a large amount of data and information because of the development of information technology. Hence, a management mechanism is urgently required. In order to incorporate knowledge generated from manufacturing data and production experience, a knowledge network model of the energy consumption in the discrete manufacturing system was put forward based on knowledge network theory and multi-granularity modular ontology technology. This model could provide a standard representation for concepts, terms and their relationships, which could be understood by both human and computer. Besides, the formal description of energy consumption knowledge elements (ECKEs) in the knowledge network was also given. Finally, an application example was used to verify the feasibility of the proposed method.

Knowledge management and networking for enhancing nuclear safety

International Nuclear Information System (INIS)

Taniguchi, T.; Lederman, L.

2004-01-01

Striving for innovative solutions to enhance efficiency of programme delivery and a wider outreach of its nuclear safety activities, the International Atomic Energy Agency (IAEA) has developed an Integrated Safety Approach as a platform for linking its safety related statutory functions and its many associated activities. The approach recognizes the vital importance of effective management of the knowledge base and builds on the integration between the IAEA's safety standards and all aspects of the provision for their application, including peer reviews and technical meetings to share lessons learned. The IAEA is using knowledge management techniques to develop process flows, map safety knowledge and to promote knowledge sharing. The first practical application was the establishment of a knowledge base related to safety aspects of ageing and long-term operation of nuclear power plants. The IAEA is also promoting and facilitating the establishment of regional nuclear and radiation safety networks to preserve existing knowledge and expertise as well as to strengthen sharing and creation of new knowledge in these fields. Prominent examples are the Asian Nuclear Safety Network established in the frame of the IAEA's Programme on the Safety of Nuclear Installations in South East Asia, Pacific and Far East Countries, and the Ibero-American Radiation Safety Network in the frame of the Ibero-American Forum of Nuclear Regulators. Results to date are most encouraging and suggest that this pioneer work should be extended to other regions and eventually to a global nuclear safety network. Responsive to the need of Member States, the IAEA Secretariat has prepared and made available a large number of up-to-date training packages in nuclear, radiation, transport and waste safety, using IAEA safety standards as a basis. It is also providing instruction to trainers in Member States on the use of these modules. This ensures that the material is properly used and that the IAEA

Hegemonic structure of basic, clinical and patented knowledge on Ebola research: a US army reductionist initiative.

Science.gov (United States)

Fajardo-Ortiz, David; Ortega-Sánchez-de-Tagle, José; Castaño, Victor M

2015-04-19

Ebola hemorrhagic fever (Ebola) is still a highly lethal infectious disease long affecting mainly neglected populations in sub-Saharan Africa. Moreover, this disease is now considered a potential worldwide threat. In this paper, we present an approach to understand how the basic, clinical and patent knowledge on Ebola is organized and intercommunicated and what leading factor could be shaping the evolution of the knowledge translation process for this disease. A combination of citation network analysis; analysis of Medical heading Subject (MeSH) and Gene Ontology (GO) terms, and quantitative content analysis for patents and scientific literature, aimed to map the organization of Ebola research was carried out. We found six putative research fronts (i.e. clusters of high interconnected papers). Three research fronts are basic research on Ebola virus structural proteins: glycoprotein, VP40 and VP35, respectively. There is a fourth research front of basic research papers on pathogenesis, which is the organizing hub of Ebola research. A fifth research front is pre-clinical research focused on vaccines and glycoproteins. Finally, a clinical-epidemiology research front related to the disease outbreaks was identified. The network structure of patent families shows that the dominant design is the use of Ebola virus proteins as targets of vaccines and other immunological treatments. Therefore, patents network organization resembles the organization of the scientific literature. Specifically, the knowledge on Ebola would flow from higher (clinical-epidemiology) to intermediated (cellular-tissular pathogenesis) to lower (molecular interactions) levels of organization. Our results suggest a strong reductionist approach for Ebola research probably influenced by the lethality of the disease. On the other hand, the ownership profile of the patent families network and the main researches relationship with the United State Army suggest a strong involvement of this military

Wissensstrukturierung im Unterricht: Neuere Forschung zur Wissensreprasentation und ihre Anwendung in der Didaktik (Knowledge Structuring in Instruction: Recent Research on Knowledge Representation and Its Application in the Classroom).

Science.gov (United States)

Einsiedler, Wolfgang

1996-01-01

Asks whether theories of knowledge representation provide a basis for the development of theories of knowledge structuring in instruction. Discusses codes of knowledge, surface versus deep structures, semantic networks, and multiple memory systems. Reviews research on teaching, external representation of cognitive structures, hierarchical…

The network researchers' network

DEFF Research Database (Denmark)

Henneberg, Stephan C.; Jiang, Zhizhong; Naudé, Peter

2009-01-01

The Industrial Marketing and Purchasing (IMP) Group is a network of academic researchers working in the area of business-to-business marketing. The group meets every year to discuss and exchange ideas, with a conference having been held every year since 1984 (there was no meeting in 1987). In thi......The Industrial Marketing and Purchasing (IMP) Group is a network of academic researchers working in the area of business-to-business marketing. The group meets every year to discuss and exchange ideas, with a conference having been held every year since 1984 (there was no meeting in 1987......). In this paper, based upon the papers presented at the 22 conferences held to date, we undertake a Social Network Analysis in order to examine the degree of co-publishing that has taken place between this group of researchers. We identify the different components in this database, and examine the large main...

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.

Inter-firm Networks, Organizational Learning and Knowledge Updating: An Empirical Study

Science.gov (United States)

Zhang, Su-rong; Wang, Wen-ping

In the era of knowledge-based economy which information technology develops rapidly, the rate of knowledge updating has become a critical factor for enterprises to gaining competitive advantage .We build an interactional theoretical model among inter-firm networks, organizational learning and knowledge updating thereby and demonstrate it with empirical study at last. The result shows that inter-firm networks and organizational learning is the source of knowledge updating.

World Cities of Scientific Knowledge: Systems, Networks and Potential Dynamics. An Analysis Based on Bibliometric Indicators

DEFF Research Database (Denmark)

Matthiessen, Christian Wichmann; Schwarz, Annette Winkel; Find, Søren

2010-01-01

This paper is based on identification of the pattern of the upper level of the world city network of knowledge as published in a series of papers.It is our aim to update the findings and relate to the general world city discussion. The structure of the world cities of knowledge network has changed...... over the last decade in favour of south east Asian and south European cities and in disfavour of the traditional centres of North America and north-western Europe. The analysis is based on bibliometric data on the world’s 100 largest cities measured in terms of research output. Then level of co......-authorships between researchers in different cities is an indicators of links and respect, and the number of citations to papers produced by researchers located in each city is an indicator of respect. Finally, one research discipline is selected for an experiment in forecasting future hot spots of research....

Knowledge and innovation in networks : a conceptual framework

NARCIS (Netherlands)

Man, de A.P.; Berends, J.J.; Lammers, I.S.; Raaij, van E.M.; Weele, van A.J.; Man, de A.P.

2008-01-01

Increasingly, innovation na longer takes place within individual firms, but within networks of organizations. An important requirement tor such network-based innovations to come to fruition is that knowledge flows across organizational boundaries. Yet, it is not self-evident or easy to create and

SARNET: Severe accident research network of excellence

International Nuclear Information System (INIS)

Albiol, Thierry; Haste, Tim; Dorsselaere, Jean-Pierre van

2007-01-01

51 organizations network in SARNET (Severe Accident Research NETwork of Excellence) their capacities of research in order to resolve the most important remaining uncertainties for enhancing, in regard of Severe Accidents (SA), the safety of existing and future Nuclear Power Plants (NPPs). This project, co-funded by the European Commission (EC), has been defined in order to optimise the use of the available means and to constitute sustainable research groups in the European Union. SARNET tackles the fragmentation that exists between the different R and D national programmes, in defining common research programmes and developing common computer tools and methodologies for safety assessment. SARNET comprises most of the actors involved in SA research in Europe (plus Canada). To reach these objectives, all the organizations networked in SARNET contribute to a so-called Joint Programme of Activities (JPA), which consists in: Implementing an advanced communication tool for accessing all project information, fostering exchange of information, and managing documents; Harmonizing and re-orienting the research programmes; Jointly analysing the experimental results provided by research programmes in order to elaborate a common understanding of relevant phenomena; Developing the ASTEC code (integral computer code used to predict the NPP behaviour during a postulated SA), which capitalizes in terms of physical models the knowledge produced within SARNET; Developing Scientific Databases, in which all the results of research programmes are stored in a common format (DATANET); Developing a common methodology for Probabilistic Safety Assessment (PSA) of NPPs; Developing courses and writing a text book on SA for students and researchers; Promoting personnel mobility between various European organizations. After the first period (2004-2008), co-funded by the EC, the network will progressively evolve toward self-sustainability. The bases for such an evolution, still under discussion

A study of EMR-based medical knowledge network and its applications.

Science.gov (United States)

Zhao, Chao; Jiang, Jingchi; Xu, Zhiming; Guan, Yi

2017-05-01

Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support. We attempt to integrate this medical knowledge into a complex network, and then implement a diagnosis model based on this network. The dataset of our study contains 992 records which are uniformly sampled from different departments of the hospital. In order to integrate the knowledge of these records, an EMR-based medical knowledge network (EMKN) is constructed. This network takes medical entities as nodes, and co-occurrence relationships between the two entities as edges. Selected properties of this network are analyzed. To make use of this network, a basic diagnosis model is implemented. Seven hundred records are randomly selected to re-construct the network, and the remaining 292 records are used as test records. The vector space model is applied to illustrate the relationships between diseases and symptoms. Because there may exist more than one actual disease in a record, the recall rate of the first ten results, and the average precision are adopted as evaluation measures. Compared with a random network of the same size, this network has a similar average length but a much higher clustering coefficient. Additionally, it can be observed that there are direct correlations between the community structure and the real department classes in the hospital. For the diagnosis model, the vector space model using disease as a base obtains the best result. At least one accurate disease can be obtained in 73.27% of the records in the first ten results. We constructed an EMR-based medical knowledge network by extracting the medical entities. This network has the small-world and scale-free properties. Moreover, the community structure showed that entities in the same department have a tendency to be self-aggregated. Based on this network, a diagnosis model was proposed. This model uses only the symptoms as inputs and is not restricted to a specific

Transnational business networks of African intermediaries in China: Practices of networking and the role of experiential knowledge

Directory of Open Access Journals (Sweden)

Müller, Angelo

2013-09-01

Full Text Available Chinese cities like Hong Kong, Guangzhou or Yiwu have become major ports of call for Sub-Saharan African traders active in the import-export trade of Chinese goods to Africa. This study highlights the role of African intermediaries in the city of Guangzhou, who work as negotiators within the Sino-African trade system. Between 2008 and 2011 33 case studies were conducted, using qualitative interviews and participatory observations. A qualitative network approach was used to investigate the intermediaries’ business practices as they build up multi-local economic relations. Different forms of knowledge embodied in the business practices were of special interest for this paper. Results show the importance of multi-local forms of organisation across different nations and ethnic boundaries as well as the relevance of experiential knowledge for the success of these organisational forms. The findings may open up a research perspective on the organisation of transnational migrant business networks.

Visualization maps for the evolution of research hotspots in the field of regional health information networks.

Science.gov (United States)

Wang, Yanjun; Zheng, Jianzhong; Zhang, Ailian; Zhou, Wei; Dong, Haiyuan

2018-03-01

The aim of this study was to reveal research hotspots in the field of regional health information networks (RHINs) and use visualization techniques to explore their evolution over time and differences between countries. We conducted a literature review for a 50-year period and compared the prevalence of certain index terms during the periods 1963-1993 and 1994-2014 and in six countries. We applied keyword frequency analysis, keyword co-occurrence analysis, multidimensional scaling analysis, and network visualization technology. The total number of keywords was found to increase with time. From 1994 to 2014, the research priorities shifted from hospital planning to community health planning. The number of keywords reflecting information-based research increased. The density of the knowledge network increased significantly, and partial keywords condensed into knowledge groups. All six countries focus on keywords including Information Systems; Telemedicine; Information Service; Medical Records Systems, Computerized; Internet; etc.; however, the level of development and some research priorities are different. RHIN research has generally increased in popularity over the past 50 years. The research hotspots are evolving and are at different levels of development in different countries. Knowledge network mapping and perceptual maps provide useful information for scholars, managers, and policy-makers.

Mining E-mail to Leverage Knowledge Networks in Organizations

NARCIS (Netherlands)

van Reijsen, J.; Helms, R.W.; Jackson, T.W.

2009-01-01

There is nothing new about the notion that in today‟s knowledge driven economy, knowledge is the key strategic asset for competitive advantage in an organization. Also, we have learned that knowledge is residing in the organization‟s informal network. Hence, to leverage business performance from a

Knowledge Mining from Clinical Datasets Using Rough Sets and Backpropagation Neural Network

Directory of Open Access Journals (Sweden)

Kindie Biredagn Nahato

2015-01-01

Full Text Available The availability of clinical datasets and knowledge mining methodologies encourages the researchers to pursue research in extracting knowledge from clinical datasets. Different data mining techniques have been used for mining rules, and mathematical models have been developed to assist the clinician in decision making. The objective of this research is to build a classifier that will predict the presence or absence of a disease by learning from the minimal set of attributes that has been extracted from the clinical dataset. In this work rough set indiscernibility relation method with backpropagation neural network (RS-BPNN is used. This work has two stages. The first stage is handling of missing values to obtain a smooth data set and selection of appropriate attributes from the clinical dataset by indiscernibility relation method. The second stage is classification using backpropagation neural network on the selected reducts of the dataset. The classifier has been tested with hepatitis, Wisconsin breast cancer, and Statlog heart disease datasets obtained from the University of California at Irvine (UCI machine learning repository. The accuracy obtained from the proposed method is 97.3%, 98.6%, and 90.4% for hepatitis, breast cancer, and heart disease, respectively. The proposed system provides an effective classification model for clinical datasets.

Synthesizing Knowledge in Design Research

DEFF Research Database (Denmark)

Piirainen, Kalle A.

2016-01-01

The chapter discusses knowledge synthesis in design research, bringing together the perspectives of experimental design research, or Research in Design Context that is treated extensively elsewhere in this book, and Design Inclusive Research as well as Practice-based Design Research. Specific...... attention is paid to the question of how practice-based or problem-driven design research processes can be rigorous and yield contributions to knowledge. The main argument in this chapter is that a key to knowledge synthesis and scientific contribution is setting explicit design propositions...... that are instantiated within design artefacts, and evaluated rigorously. The chapter starts with a discussion of knowledge creation and synthesis within design research.Following this, the chapter moves on to focus on setting a methodological framework for deriving design propositions. Lastly the chapter elaborates...

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.

The Use of Underground Research Laboratories to Support Repository Development Programs. A Roadmap for the Underground Research Facilities Network.

Energy Technology Data Exchange (ETDEWEB)

MacKinnon, Robert J. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

2015-10-26

Under the auspices of the International Atomic Energy Agency (IAEA), nationally developed underground research laboratories (URLs) and associated research institutions are being offered for use by other nations. These facilities form an Underground Research Facilities (URF) Network for training in and demonstration of waste disposal technologies and the sharing of knowledge and experience related to geologic repository development, research, and engineering. In order to achieve its objectives, the URF Network regularly sponsors workshops and training events related to the knowledge base that is transferable between existing URL programs and to nations with an interest in developing a new URL. This report describes the role of URLs in the context of a general timeline for repository development. This description includes identification of key phases and activities that contribute to repository development as a repository program evolves from an early research and development phase to later phases such as construction, operations, and closure. This information is cast in the form of a matrix with the entries in this matrix forming the basis of the URF Network roadmap that will be used to identify and plan future workshops and training events.

Representation and integration of sociological knowledge using knowledge graphs

NARCIS (Netherlands)

Popping, R; Strijker, [No Value

1997-01-01

The representation and integration of sociological knowledge using knowledge graphs, a specific kind of semantic network, is discussed. Knowledge it systematically searched this reveals. inconsistencies, reducing superfluous research and knowledge, and showing gaps in a theory. This representation

[Translation of knowledge on cervical cancer: is there a gap between research on causes and research on patient care?].

Science.gov (United States)

Fajardo-Ortiz, David; Ochoa, Héctor; García, Luis; Castaño, Víctor

2014-02-01

This article constructs a map on the translation of knowledge concerning cervical cancer, based on citation networks analysis and the use of Gene Ontology terms and Medical Subject Headings. We identified two areas of research that are poorly interconnected and differ in structure, content, and evolution. One focuses on causes of cancer and the other on patient care. The first research area showed a knowledge translation process where basic research and clinical research are communicated through a set of articles that consolidate human papillomavirus infection as the necessary cause of cervical cancer. The first area aims to prevent HPV infection and the development of cervical cancer, while the second aims to stage and treat the disease.

KNOWNET: Exploring Interactive Knowledge Networking across Insurance Supply Chains

Directory of Open Access Journals (Sweden)

Susan Grant

2014-01-01

Full Text Available Social media has become an extremely powerful phenomenon with millions of users who post status updates, blog, links and pictures on social networking sites such as Facebook, LinkedIn, and Twitter. However, social networking has so far spread mainly among consumers. Businesses are only now beginning to acknowledge the benefits of using social media to enhance employee and supplier collaboration to support new ideas and innovation through knowledge sharing across functions and organizational boundaries. Many businesses are still trying to understand the various implications of integrating internal communication systems with social media tools and private collaboration and networking platforms. Indeed, a current issue in organizations today is to explore the value of social media mechanisms across a range of functions within their organizations and across their supply chains.The KNOWNET project (an EC funded Marie Curie IAPP seeks to assess the value of social networking for knowledge exchange across Insurance supply chains. A key objective of the project being to develop and build a web based interactive environment - a Supplier Social Network or SSN, to support and facilitate exchange of good ideas, insights, knowledge, innovations etc across a diverse group of suppliers within a multi level supply chain within the Insurance sector.

Evaluation of partnerships in a transnational family violence prevention network using an integrated knowledge translation and exchange model: a mixed methods study

Science.gov (United States)

2014-01-01

Background Family violence is a significant and complex public health problem that demands collaboration between researchers, practitioners, and policymakers for systemic, sustainable solutions. An integrated knowledge translation network was developed to support joint research production and application in the area. The purpose of this study was to determine the extent to which the international Preventing Violence Across the Lifespan (PreVAiL) Research Network built effective partnerships among its members, with a focus on the knowledge user partner perspective. Methods This mixed-methods study employed a combination of questionnaire and semi-structured interviews to understand partnerships two years after PreVAiL’s inception. The questionnaire examined communication, collaborative research, dissemination of research, research findings, negotiation, partnership enhancement, information needs, rapport, and commitment. The interviews elicited feedback about partners’ experiences with being part of the network. Results Five main findings were highlighted: i) knowledge user partner involvement varied across activities, ranging from 11% to 79% participation rates; ii) partners and researchers generally converged on their assessment of communication indicators; iii) partners valued the network at both an individual level and to fulfill their organizations’ mandates; iv) being part of PreVAiL allowed partners to readily contact researchers, and partners felt comfortable acting as an intermediary between PreVAiL and the rest of their own organization; v) application of research was just emerging; partners needed more actionable insights to determine ways to move forward given the research at that point in time. Conclusions Our results demonstrate the importance of developing and nurturing strong partnerships for integrated knowledge translation. Our findings are applicable to other network-oriented partnerships where a diversity of stakeholders work to address

Knowledge transfer within EU-funded marine science research - a viewpoint

Science.gov (United States)

Bayliss-Brown, Georgia; Cheallachaín, Cliona Ní

2016-04-01

transfer and dissemination. This Dublin-based SME has an ever-growing portfolio of FP7 and Horizon 2020 projects where they hold knowledge management responsibilities. In this session, we will present AquaTT's experiences in knowledge management for several European Union-funded marine research projects; including MarineTT (http://marinett.eu/) that was recognised as an exemplar project in the ex post evaluation of FP7 to the European Commission. These insights will be supplemented with an overview of the AquaTT-developed step-by-step knowledge transfer methodology, as used by the COLUMBUS project - the EU's flagship Blue Growth and Knowledge Transfer initiative (http://www.columbusproject.eu/). This session will provide a platform to launch AquaTT's European knowledge transfer network, established to support the research community in fostering a culture that recognises and rewards knowledge transfer between scientists and end-users (industry, policy, and wider society), thereby ensuring that research achieves its maximum potential impact. References Bellwood, P. (2004) The First Farmers: Origins of Agricultural Societies. Malden, MA. European Commission (2008) recommendation on the management of intellectual property in knowledge transfer activities and code of practice for universities and other public research organisations http://ec.europa.eu/invest-in-research/pdf/ip_recommendation_en.pdf Lipphardt, V. and D. Ludwig (2011) Knowledge transfer and science transfer. http://ieg-ego.eu/en/threads/theories-and-methods/knowledge-transfer/veronika-lipphardt-david-ludwig-knowledge-transfer-and-science-transfer

Do social networks and technological capabilities help knowledge management?

Directory of Open Access Journals (Sweden)

Encarnación García-Sánchez

2017-12-01

Full Text Available Dynamic capabilities are currently becoming an important extension of the theory of resources and capabilities that enables companies to adapt better in the current competitive environment. This paper examines how knowledge management, a dynamic function related to management or administration of a set of knowledge flows, develops thanks to the greater dynamism of social networks. It then shows how this relationship is especially strengthened by different technological capabilities. To achieve these goals, the paper examines the main tools that permit companies to develop an ability to achieve competitive advantage relative to the technological capabilities of managers and workers, social networks and knowledge management.

Knowledge Exchange and Management Research

DEFF Research Database (Denmark)

Bager, Torben

2018-01-01

for ‘interesting’ discoveries has a potential to lift off papers with a high level of scientific rigor as well as a high level of relevance for practice. Originality: An outcome focus on the relationship between knowledge exchange activities and management research is to our knowledge new in the debate about......Purpose: The growing involvement of management researchers in knowledge exchange activities and collaborative research does not seem to be reflected in a growing academic output. The purpose of this paper is to explore barriers for academic output from these activities as well as the potential...... derived from knowledge exchange activities and Mode 2 research into academic papers such as low priority of case study research in leading management journals, a growing practice orientation in the research funding systems, methodological challenges due to limited researcher control, and disincentives...

Addressing ageing of the workforce issues by enabling knowledge management systems with social networks analysis capabilities

International Nuclear Information System (INIS)

Perisic, I.

2004-01-01

Full text: A method of addressing ageing of the workforce and knowledge transfer issues, especially in the area of potential loss of knowledge, is presented through the integration of social networks analysis capabilities within knowledge management systems. In the context of the ageing of the workforce, a key component is the identification of not only the individuals that are about to retire, but also the knowledge and the knowledge transfer capabilities that they will take with them they do so. This loss impacts decisions made about human resources 'supply side' programs such as education, but also programs for building 'communities of practices' within the IAEA community to foster development and research across regions and countries. Within this context, an integrated social network analysis component provides the ability to map out the network of knowledge on any specific topic. The stability of the network itself is a measure of the robustness of the knowledge within the selected IAEA community. Further, the network, by identifying 'brokers' and 'bridges', pinpoints key weaknesses that have to be addressed. In the case of ageing of the workforce, balancing, stabilizing and building redundancies within this social network is key to maintaining a safe nuclear policy. The core of the method relies on a system that has a holistic view of the body of knowledge accumulated within the IAEA community. For scalability issues, this system cannot replicate the plethora of potential sources of information, but rather has to harvest from each of them a set of metadata which in turn enables the knowledge management system. This metadata is defined and stored in a way to allow the rendering of a complete picture stored within the sub-systems. A key component used by the social network analysis component is, of course, the name of all individuals tied to any knowledge object within the database, but also their affiliation, country, seniority or 'age to retirement' (when

Addressing ageing of the workforce issues by enabling knowledge management systems with social networks analysis capabilities

International Nuclear Information System (INIS)

Perisic, I.

2004-01-01

Full text: A method of addressing ageing of the workforce and knowledge transfer issues, especially in the area of potential loss of knowledge, is presented through the integration of social networks analysis capabilities within knowledge management systems. In the context of the ageing of the workforce, a key component is the identification of not only the individuals that are about to retire, but also the knowledge and the knowledge transfer capabilities that they will take with them they do so. This loss impacts decisions made about human resources 'supply side' programs such as education, but also programs for building 'communities of practices' within the IAEA community to foster development and research across regions and countries. Within this context, an integrated social network analysis component provides the ability to map out the network of knowledge on any specific topic. The stability of the network itself is a measure of the robustness of the knowledge within the selected IAEA community. Further, the network, by identifying 'brokers' and 'bridges', pinpoints key weaknesses that have to be addressed. In the case of ageing of the workforce, balancing, stabilizing and building redundancies within this social network is key to maintaining a safe nuclear policy. The core of the method relies on a system that has a holistic view of the body of knowledge accumulated within the IAEA community. For scalability issues, this system cannot replicate the plethora of potential sources of information, but rather has to harvest from each of them a set of metadata which in turn enables the knowledge management system. This metadata is defined and stored in a way to allow the rendering of a complete picture stored within the subsystems. A key component used by the social network analysis component is, of course, the name of all individuals tied to any knowledge object within the database, but also their affiliation, country, seniority or 'age to retirement' (when

CLARA and ScienTI Networks: Technology and Information for Knowledge Building in the Latin American Scientific Community

OpenAIRE

Rejane Sartori; Roberto Carlos Dos Santos Pacheco

2006-01-01

Knowledge-based development produces wealth and opens the frontiers of competitiveness, technological innovation and wealth distribution. In developed countries the process is intrinsically bound to the ability of innovative production and the dynamics of network knowledge construction. Within this process the academic and research communities participate effectively in the dynamics of knowledge and innovation, an environment strongly based on information and communication technology. However...

How knowledge and technology are created in a research institute

International Nuclear Information System (INIS)

Monteiro, Carlos Anisio; Barroso, Antonio Carlos de Oliveira

2011-01-01

Collaboration within and across R and D teams is a naturally occurring socio-technical process and it seems to be a very good thrust for technology development and knowledge creation, transfer and preservation in R and D organizations. The study has focused on evidence gathered from: (a) the publication data base of IPEN from 2001 to 2008 was used to generate four time evolving networks of co-authorship, considering time slices of two years; (b) authors 'demographic' data were included as node attributes in the networks; and (c) questionnaire surveys and interviews to understand the reasons which influence a person to search and choose partner to co-work in a research. Social network analysis was used extensively to understand the network configurations, their time evolution, the key actors, groups and their role in this network. A few indexes and algorithms were used to get insight into the networks structures. A variety of centrality indicators were used to better characterize key actors and better understand their position and role in the network. Also many grouping techniques were used to find the most prominent/active groups. For the most central authors or groups, demographic data was cross analyzed with their network indexes to get check for a few hypothesis of preferential attachment. Finally, based on the proper theoretical background and the information gathered with questionnaires and interviews a model was devised to explain the propensity to collaborate. This paper reports the general ideas of the whole research and presents the most important results of the network analysis. (author)

How knowledge and technology are created in a research institute

Energy Technology Data Exchange (ETDEWEB)

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

2011-07-01

Collaboration within and across R and D teams is a naturally occurring socio-technical process and it seems to be a very good thrust for technology development and knowledge creation, transfer and preservation in R and D organizations. The study has focused on evidence gathered from: (a) the publication data base of IPEN from 2001 to 2008 was used to generate four time evolving networks of co-authorship, considering time slices of two years; (b) authors 'demographic' data were included as node attributes in the networks; and (c) questionnaire surveys and interviews to understand the reasons which influence a person to search and choose partner to co-work in a research. Social network analysis was used extensively to understand the network configurations, their time evolution, the key actors, groups and their role in this network. A few indexes and algorithms were used to get insight into the networks structures. A variety of centrality indicators were used to better characterize key actors and better understand their position and role in the network. Also many grouping techniques were used to find the most prominent/active groups. For the most central authors or groups, demographic data was cross analyzed with their network indexes to get check for a few hypothesis of preferential attachment. Finally, based on the proper theoretical background and the information gathered with questionnaires and interviews a model was devised to explain the propensity to collaborate. This paper reports the general ideas of the whole research and presents the most important results of the network analysis. (author)

Interdisciplinarity and Knowledge Networking: Co-Production of Climate-Authoritative Knowledge in Southern South America

Science.gov (United States)

Hidalgo, Cecilia

2016-01-01

Interdisciplinarity and knowledge networking are at the core of current global, regional, and national initiatives concerning climate. Both scientifc knowledge and public participation are essential to enhance the capacity of different sectors and governments to respond to challenges posed by climate variability and change. Exchange and bridge…

Exchanging expertise and constructing boundaries: The development of a transnational knowledge network around heroin-assisted treatment.

Science.gov (United States)

Duke, Karen

2016-05-01

Over the last 20 years, supervised injectable and inhalable heroin prescribing has been developed, tested and in some cases introduced as a second line treatment for limited groups of entrenched heroin users in a number of European countries and Canada. Based on documentary analyses and eleven key informant interviews, this paper investigates the growth of 'expertise' and the sharing of knowledge between scientific stakeholders from different countries involved in researching and developing this area of treatment. Drawing on Stone's concept of the 'knowledge network' (Stone, 2013) and Gieryn's theory of 'boundary-work' (Gieryn, 1983), the analysis demonstrates the collective power of this group of scientists in producing a particular form of knowledge and expertise which has accrued and been exchanged over time. It also illustrates the ways in which this type of science has gained credibility and authority and become legitimised, reinforced and reproduced by those who employ it in both scientific and political debates. Boundaries were constructed by the knowledge network between different types of professions/disciplines, different forms of science and between the production of science and its consumption by non-scientists. The uniformity of the knowledge network in terms of their professional and disciplinary backgrounds, methodological expertise and ideological perspectives has meant that alternative forms of knowledge and perspectives have been neglected. This limits the nature and scope of the scientific evidence on which to base policy and practice decisions impacting on the work of policy makers and practitioners as well as the experiences of those in treatment who are most affected by this research and policy development. Copyright © 2015 Elsevier B.V. All rights reserved.

Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers

Science.gov (United States)

Andjelković, Miroslav; Tadić, Bosiljka; Mitrović Dankulov, Marija; Rajković, Milan; Melnik, Roderick

2016-01-01

The communication processes of knowledge creation represent a particular class of human dynamics where the expertise of individuals plays a substantial role, thus offering a unique possibility to study the structure of knowledge networks from online data. Here, we use the empirical evidence from questions-and-answers in mathematics to analyse the emergence of the network of knowledge contents (or tags) as the individual experts use them in the process. After removing extra edges from the network-associated graph, we apply the methods of algebraic topology of graphs to examine the structure of higher-order combinatorial spaces in networks for four consecutive time intervals. We find that the ranking distributions of the suitably scaled topological dimensions of nodes fall into a unique curve for all time intervals and filtering levels, suggesting a robust architecture of knowledge networks. Moreover, these networks preserve the logical structure of knowledge within emergent communities of nodes, labeled according to a standard mathematical classification scheme. Further, we investigate the appearance of new contents over time and their innovative combinations, which expand the knowledge network. In each network, we identify an innovation channel as a subgraph of triangles and larger simplices to which new tags attach. Our results show that the increasing topological complexity of the innovation channels contributes to network’s architecture over different time periods, and is consistent with temporal correlations of the occurrence of new tags. The methodology applies to a wide class of data with the suitable temporal resolution and clearly identified knowledge-content units. PMID:27171149

Introducing serendipity in a social network model of knowledge diffusion

International Nuclear Information System (INIS)

Cremonini, Marco

2016-01-01

Highlights: • Serendipity as a control mechanism for knowledge diffusion in social network. • Local communication enhanced in the periphery of a network. • Prevalence of hub nodes in the network core mitigated. • Potential disruptive effect on network formation of uncontrolled serendipity. - Abstract: In this paper, we study serendipity as a possible strategy to control the behavior of an agent-based network model of knowledge diffusion. The idea of considering serendipity in a strategic way has been first explored in Network Learning and Information Seeking studies. After presenting the major contributions of serendipity studies to digital environments, we discuss the extension to our model: Agents are enriched with random topics for establishing new communication according to different strategies. The results show how important network properties could be influenced, like reducing the prevalence of hubs in the network’s core and increasing local communication in the periphery, similar to the effects of more traditional self-organization methods. Therefore, from this initial study, when serendipity is opportunistically directed, it appears to behave as an effective and applicable approach to social network control.

What happens when organisations embrace social networking? Knowledge sharing at a multinational business solutions corporation

Directory of Open Access Journals (Sweden)

C. Stafford

2009-04-01

Full Text Available Amid widespread resistance to online social networking tools, their effectiveness in promoting knowledge sharing in a knowledge-driven organisation was demonstrated in the study. Usage patterns, user attitudes and perceptions regarding online social networking technologies as a professional application for knowledge sharing within the workplace were investigated. Self-administered questionnaires were administered to a sample of IBM Global Business Services employees in South Africa. Upon completion of the questionnaire analysis an interview was conducted with the knowledge manager for verification and clarification purposes. The results revealed the respondents' positive attitudes regarding the use of social networking tools for knowledge sharing. The culture of knowledge sharing at IBM and the contribution that social networking tools makes within the company were uncovered. Findings disclosed that the online social networking tools were effective and that management at IBM encourages employees to make more and more use of the tools for knowledge sharing and knowledge creation. The results of this study demonstrate the effectiveness of online social networking tools and serve as encouragement to hesitant organisations to adopt social networking in their business practices.

Desert Net-Structure and Aims of an International Network for Desertification Research

International Nuclear Information System (INIS)

Akhtar-Schuster, M.; San Juan Mesonada, C.

2009-01-01

Desert Net://www.european-desert net.eu) is an interdisciplinary scientific network which was established in October 2006 at the UN premises in Bonn, Germany, by a group of international scientists. The network strives to generate and enhance scientific knowledge and understanding of the biophysical and socio-economic processes of desertification. This international scientific network provides an international platform for scientifically based discussions and exchange of ideas, addressing knowledge gaps, and identifying research areas. Desert Net is also a think tank community which identifies issues and priorities for the sustainable development of dry lands. the paper outlines the current role of Desert Net in the international scientific community and it delineates its role to strengthen the Science/Policy Interface. (Author) 2 refs.

Network Partitioning Domain Knowledge Multiobjective Application Mapping for Large-Scale Network-on-Chip

Directory of Open Access Journals (Sweden)

Yin Zhen Tei

2014-01-01

Full Text Available This paper proposes a multiobjective application mapping technique targeted for large-scale network-on-chip (NoC. As the number of intellectual property (IP cores in multiprocessor system-on-chip (MPSoC increases, NoC application mapping to find optimum core-to-topology mapping becomes more challenging. Besides, the conflicting cost and performance trade-off makes multiobjective application mapping techniques even more complex. This paper proposes an application mapping technique that incorporates domain knowledge into genetic algorithm (GA. The initial population of GA is initialized with network partitioning (NP while the crossover operator is guided with knowledge on communication demands. NP reduces the large-scale application mapping complexity and provides GA with a potential mapping search space. The proposed genetic operator is compared with state-of-the-art genetic operators in terms of solution quality. In this work, multiobjective optimization of energy and thermal-balance is considered. Through simulation, knowledge-based initial mapping shows significant improvement in Pareto front compared to random initial mapping that is widely used. The proposed knowledge-based crossover also shows better Pareto front compared to state-of-the-art knowledge-based crossover.

Building new Knowledge Networks: A Europe–China Perspective on R&D Offshoring

DEFF Research Database (Denmark)

Harryson, Sigvald; Søberg, Peder Veng; Åkerman, Niklas

2009-01-01

innovation performance. By combining theories on ambidexterity, knowledge transfer and networking, a theoretical framework is developed to analyze the different strategies for local knowledge network interaction that are deployed by the case companies. The analysis suggests that close interaction and cross...

Patient informed governance of distributed research networks: results and discussion from six patient focus groups.

Science.gov (United States)

Mamo, Laura A; Browe, Dennis K; Logan, Holly C; Kim, Katherine K

2013-01-01

Understanding how to govern emerging distributed research networks is essential to their success. Distributed research networks aggregate patient medical data from many institutions leaving data within the local provider security system. While much is known about patients' views on secondary medical research, little is known about their views on governance of research networks. We conducted six focus groups with patients from three medical centers across the U.S. to understand their perspectives on privacy, consent, and ethical concerns of sharing their data as part of research networks. Participants positively endorsed sharing their health data with these networks believing that doing so could advance healthcare knowledge. However, patients expressed several concerns regarding security and broader ethical issues such as commercialism, public benefit, and social responsibility. We suggest that network governance guidelines move beyond strict technical requirements and address wider socio-ethical concerns by fully including patients in governance processes.

Management Perception of Introducing Social Networking Sites as a Knowledge Management Tool in Higher Education: A Case Study

Science.gov (United States)

Garcia, Elaine; Annansingh, Fenio; Elbeltagi, Ibrahim

2011-01-01

Purpose: The purpose of this paper is to present a study of the understanding and usage of social networking sites (SNS) as a knowledge management (KM) tool in knowledge-intensive enterprises. Design/methodology/approach: In terms of research approach, the study has taken an interpretitivist framework, using a higher education (HE) institution as…

Developing integrated crop knowledge networks to advance candidate gene discovery.

Science.gov (United States)

Hassani-Pak, Keywan; Castellote, Martin; Esch, Maria; Hindle, Matthew; Lysenko, Artem; Taubert, Jan; Rawlings, Christopher

2016-12-01

The chances of raising crop productivity to enhance global food security would be greatly improved if we had a complete understanding of all the biological mechanisms that underpinned traits such as crop yield, disease resistance or nutrient and water use efficiency. With more crop genomes emerging all the time, we are nearer having the basic information, at the gene-level, to begin assembling crop gene catalogues and using data from other plant species to understand how the genes function and how their interactions govern crop development and physiology. Unfortunately, the task of creating such a complete knowledge base of gene functions, interaction networks and trait biology is technically challenging because the relevant data are dispersed in myriad databases in a variety of data formats with variable quality and coverage. In this paper we present a general approach for building genome-scale knowledge networks that provide a unified representation of heterogeneous but interconnected datasets to enable effective knowledge mining and gene discovery. We describe the datasets and outline the methods, workflows and tools that we have developed for creating and visualising these networks for the major crop species, wheat and barley. We present the global characteristics of such knowledge networks and with an example linking a seed size phenotype to a barley WRKY transcription factor orthologous to TTG2 from Arabidopsis, we illustrate the value of integrated data in biological knowledge discovery. The software we have developed (www.ondex.org) and the knowledge resources (http://knetminer.rothamsted.ac.uk) we have created are all open-source and provide a first step towards systematic and evidence-based gene discovery in order to facilitate crop improvement.

Communication, knowledge, social network and family planning ...

African Journals Online (AJOL)

AJRH Managing Editor

Tanzania; 2Centre for International Development Initiatives Nijmegen (CIDIN) and ... demographic variables, social networks, knowledge and communication among the couples, whereby a stratified sample of 440 ..... FP method varies with urban- rural and regional ...... Pile JM and Simbakalia C. Tanzania Case Study: A.

How structure shapes dynamics: knowledge development in Wikipedia--a network multilevel modeling approach.

Directory of Open Access Journals (Sweden)

Iassen Halatchliyski

Full Text Available Using a longitudinal network analysis approach, we investigate the structural development of the knowledge base of Wikipedia in order to explain the appearance of new knowledge. The data consists of the articles in two adjacent knowledge domains: psychology and education. We analyze the development of networks of knowledge consisting of interlinked articles at seven snapshots from 2006 to 2012 with an interval of one year between them. Longitudinal data on the topological position of each article in the networks is used to model the appearance of new knowledge over time. Thus, the structural dimension of knowledge is related to its dynamics. Using multilevel modeling as well as eigenvector and betweenness measures, we explain the significance of pivotal articles that are either central within one of the knowledge domains or boundary-crossing between the two domains at a given point in time for the future development of new knowledge in the knowledge base.

Knowledge sharing in industrial research

NARCIS (Netherlands)

Berends, J.J.

2003-01-01

Over the past decade, the field of organization studies has increasingly focused on knowledge and knowledge processes in organizations. This thesis describes a study of one of those processes, knowledge sharing, in the context of industrial research. Though the attention for knowledge in

Socio-semantic Networks of Research Publications in the Learning Analytics Community

NARCIS (Netherlands)

Fazeli, Soude; Drachsler, Hendrik; Sloep, Peter

2013-01-01

Fazeli, S., Drachsler, H., & Sloep, P. B. (2013). Socio-semantic Networks of Research Publications in the Learning Analytics Community. In M. d'Aquin, S. Dietze, H. Drachsler, E. Herder, & D. Taibi (Eds.), Linked data challenge, Learning Analytic and Knowledge (LAK13) (pp. 6-10). Vol. 974, Leuven,

Reasoning and Knowledge Acquisition Framework for 5G Network Analytics

Science.gov (United States)

2017-01-01

Autonomic self-management is a key challenge for next-generation networks. This paper proposes an automated analysis framework to infer knowledge in 5G networks with the aim to understand the network status and to predict potential situations that might disrupt the network operability. The framework is based on the Endsley situational awareness model, and integrates automated capabilities for metrics discovery, pattern recognition, prediction techniques and rule-based reasoning to infer anomalous situations in the current operational context. Those situations should then be mitigated, either proactive or reactively, by a more complex decision-making process. The framework is driven by a use case methodology, where the network administrator is able to customize the knowledge inference rules and operational parameters. The proposal has also been instantiated to prove its adaptability to a real use case. To this end, a reference network traffic dataset was used to identify suspicious patterns and to predict the behavior of the monitored data volume. The preliminary results suggest a good level of accuracy on the inference of anomalous traffic volumes based on a simple configuration. PMID:29065473

Reasoning and Knowledge Acquisition Framework for 5G Network Analytics.

Science.gov (United States)

Sotelo Monge, Marco Antonio; Maestre Vidal, Jorge; García Villalba, Luis Javier

2017-10-21

Autonomic self-management is a key challenge for next-generation networks. This paper proposes an automated analysis framework to infer knowledge in 5G networks with the aim to understand the network status and to predict potential situations that might disrupt the network operability. The framework is based on the Endsley situational awareness model, and integrates automated capabilities for metrics discovery, pattern recognition, prediction techniques and rule-based reasoning to infer anomalous situations in the current operational context. Those situations should then be mitigated, either proactive or reactively, by a more complex decision-making process. The framework is driven by a use case methodology, where the network administrator is able to customize the knowledge inference rules and operational parameters. The proposal has also been instantiated to prove its adaptability to a real use case. To this end, a reference network traffic dataset was used to identify suspicious patterns and to predict the behavior of the monitored data volume. The preliminary results suggest a good level of accuracy on the inference of anomalous traffic volumes based on a simple configuration.

Understanding the Validity of Data: A Knowledge-Based Network Underlying Research Expertise in Scientific Disciplines

Science.gov (United States)

Roberts, Ros

2016-01-01

This article considers what might be taught to meet a widely held curriculum aim of students being able to understand research in a discipline. Expertise, which may appear as a "chain of practice," is widely held to be underpinned by networks of understanding. Scientific research expertise is considered from this perspective. Within…

Technology and knowledge flow the power of networks

CERN Document Server

Trentin, Guglielmo

2011-01-01

This book outlines how network technology can support, foster and enhance the Knowledge Management, Sharing and Development (KMSD) processes in professional environments through the activation of both formal and informal knowledge flows. Understanding how ICT can be made available to such flows in the knowledge society is a factor that cannot be disregarded and is confirmed by the increasing interest of companies in new forms of software-mediated social interaction. The latter factor is in relation both to the possibility of accelerating internal communication and problem solving processes, an

The Sensors and Instrumentation Knowledge Transfer Network

International Nuclear Information System (INIS)

Cooper, P

2009-01-01

The Sensors and Instrumentation KTN has established itself as the UK's national network in sensors and instrumentation, developing a community of over 2,250 member organisations. This paper describes the background to Knowledge Transfer Networks (KTNs) and the changes that are happening to KTNs at a national level, before describing the market size, activities and successes of the Sensors and Instrumentation KTN. The paper concludes by describing the merger between the Sensors and Instrumentation KTN and four other KTNs to create a new KTN, with a working title of the Electronics, Sensors and Photonics KTN.

A roadmap for knowledge exchange and mobilization research in conservation and natural resource management.

Science.gov (United States)

Nguyen, Vivian M; Young, Nathan; Cooke, Steven J

2017-08-01

Scholars across all disciplines have long been interested in how knowledge moves within and beyond their community of peers. Rapid environmental changes and calls for sustainable management practices mean the best knowledge possible is needed to inform decisions, policies, and practices to protect biodiversity and sustainably manage vulnerable natural resources. Although the conservation literature on knowledge exchange (KE) and knowledge mobilization (KM) has grown in recent years, much of it is based on context-specific case studies. This presents a challenge for learning cumulative lessons from KE and KM research and thus effectively using knowledge in conservation and natural resources management. Although continued research on the gap between knowledge and action is valuable, overarching conceptual frameworks are now needed to enable summaries and comparisons across diverse KE-KM research. We propose a knowledge-action framework that provides a conceptual roadmap for future research and practice in KE/KM with the aim of synthesizing lessons learned from contextual case studies and guiding the development and testing of hypotheses in this domain. Our knowledge-action framework has 3 elements that occur at multiple levels and scales: knowledge production (e.g., academia and government), knowledge mediation (e.g., knowledge networks, actors, relational dimension, and contextual dimension), and knowledge-based action (e.g., instrumental, symbolic, and conceptual). The framework integrates concepts from the sociology of science in particular, and serves as a guide to further comprehensive understanding of knowledge exchange and mobilization in conservation and sustainable natural resource management. © 2016 Society for Conservation Biology.

Inter-Organizational Knowledge Conversion and Innovative Capacity in Cooperative Networks

Directory of Open Access Journals (Sweden)

Patricia Trincade Caldas

2013-04-01

Full Text Available In the current business and management environments, organizations are challenged to search for new ways of working focused on findings and practical innovation. In this sense, knowledge management constitutes a tool to support the practices of innovation, which are facilitated by the existence of physical, virtual or mental spaces, called Ba's, where knowledge can be better used. The objective of this paper is to analyze the dynamics of inter-organizational knowledge conversion into existing Ba spaces in a cooperative network. The data analysis was performed from the triangulation of primary and secondary data and from the non-participant observation, within specific variables. The results point that the network displays an unfavorable configuration regarding the favorable characteristics to dynamics of knowledge conversion, which influences negatively its performance, especially the intensity and quality of information.

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.

Communication, knowledge, social network and family planning ...

African Journals Online (AJOL)

Family planning utilization in Tanzania is low. This study was cross sectional. It examined family planning use and socio demographic variables, social networks, knowledge and communication among the couples, whereby a stratified sample of 440 women of reproductive age (18-49), married or cohabiting was studied in ...

[Training of institutional research networks as a strategy of improvement].

Science.gov (United States)

Galván-Plata, María Eugenia; Almeida-Gutiérrez, Eduardo; Salamanca-Gómez, Fabio Abdel

2017-01-01

The Instituto Mexicano del Seguro Social (IMSS) through the Coordinación de Investigación en Salud (Health Research Council) has promoted a strong link between the generation of scientific knowledge and the clinical care through the program Redes Institucionales de Investigación (Institutional Research Network Program), whose main aim is to promote and generate collaborative research between clinical, basic, epidemiologic, educational, economic and health services researchers, seeking direct benefits for patients, as well as to generate a positive impact on institutional processes. All of these research lines have focused on high-priority health issues in Mexico. The IMSS internal structure, as well as the sufficient health services coverage, allows the integration of researchers at the three levels of health care into these networks. A few years after their creation, these networks have already generated significant results, and these are currently applied in the institutional regulations in diseases that represent a high burden to health care. Two examples are the National Health Care Program for Patients with Acute Myocardial Infarction "Código Infarto", and the Early Detection Program on Chronic Kidney Disease; another result is the generation of multiple scientific publications, and the promotion of training of human resources in research from the same members of our Research Networks. There is no doubt that the Coordinación de Investigación en Salud advances steadily implementing the translational research, which will keep being fruitful to the benefit of our patients, and of our own institution.

NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 19: Computer and information technology and aerospace knowledge diffusion

Science.gov (United States)

Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.; Bishop, Ann P.

1992-01-01

To remain a world leader in aerospace, the US must improve and maintain the professional competency of its engineers and scientists, increase the research and development (R&D) knowledge base, improve productivity, and maximize the integration of recent technological developments into the R&D process. How well these objectives are met, and at what cost, depends on a variety of factors, but largely on the ability of US aerospace engineers and scientists to acquire and process the results of federally funded R&D. The Federal Government's commitment to high speed computing and networking systems presupposes that computer and information technology will play a major role in the aerospace knowledge diffusion process. However, we know little about information technology needs, uses, and problems within the aerospace knowledge diffusion process. The use of computer and information technology by US aerospace engineers and scientists in academia, government, and industry is reported.

Co-opetition and knowledge co-creation in Japanese supplier-networks : The case of Toyota

NARCIS (Netherlands)

Wilhelm, Miriam M.; Kohlbacher, Florian

This article examines how knowledge co-creation takes place within the Toyota network. We extend the work of Dyer and Nobeoka, who contributed to the theory of network-level learning by showing how Toyota succeeded in 'creating and managing a high-performance knowledge-sharing network'. By examining

Relation Analysis of Knowledge Management, Research, and Innovation in University Research Groups

Directory of Open Access Journals (Sweden)

Heyder Paez-Logreira

2016-12-01

Full Text Available Knowledge is a competitive advantage for companies. Knowledge Management helps to keep this competitiveness. Universities face with challenges in research, innovation and international competitiveness. The purpose of this paper includes studying Knowledge Management Models, and Innovation Models apply to Research Groups of Universities, through an analysis of relation in inter-organizational level. Some researchers and leaders of research groups participated in a survey about knowledge management and innovation. Here we show the relationship between knowledge management, innovation and research, including processes and operations performed by universities around these. We organize the results in three dimensions: Knowledge Management perception, the relationship between Knowledge Management and Innovation, and Strategic Knowledge organization. Too, we identify a generality of good practices, challenges, and limitations on Research Groups for Knowledge Management.

How should we assess knowledge translation in research organizations; designing a knowledge translation self-assessment tool for research institutes (SATORI).

Science.gov (United States)

Gholami, Jaleh; Majdzadeh, Reza; Nedjat, Saharnaz; Nedjat, Sima; Maleki, Katayoun; Ashoorkhani, Mahnaz; Yazdizadeh, Bahareh

2011-02-22

The knowledge translation self-assessment tool for research institutes (SATORI) was designed to assess the status of knowledge translation in research institutes. The objective was, to identify the weaknesses and strengths of knowledge translation in research centres and faculties associated with Tehran University of Medical Sciences (TUMS). The tool, consisting of 50 statements in four main domains, was used in 20 TUMS-affiliated research centres and departments after its reliability was established. It was completed in a group discussion by the members of the research council, researchers and research users' representatives from each centre and/or department. The mean score obtained in the four domains of 'The question of research', 'Knowledge production', 'Knowledge transfer' and 'Promoting the use of evidence' were 2.26, 2.92, 2 and 1.89 (out of 5) respectively.Nine out of 12 interventional priorities with the lowest quartile score were related to knowledge transfer resources and strategies, whereas eight of them were in the highest quartile and related to 'The question of research' and 'Knowledge production'. The self-assessment tool identifies the gaps in capacity and infrastructure of knowledge translation support within research organizations. Assessment of research institutes using SATORI pointed out that strengthening knowledge translation through provision of financial support for knowledge translation activities, creating supportive and facilitating infrastructures, and facilitating interactions between researchers and target audiences to exchange questions and research findings are among the priorities of research centres and/or departments.

The Role of Research Coordination in Enhancing Integrative Research: the Co-production of Knowledge Agenda of the Global Land Programme

Science.gov (United States)

Scarpa, F. M.; Boillat, S. P.; Grove, J. M.

2015-12-01

The search for sustainability and resilience requires the integration of natural science with social science, as well as the joint production of knowledge and solutions by science and society. In this context, international science coordination initiatives, like Future Earth, have increasingly stressed the need to perform more integrated and more socially relevant research. This contribution has the objective to highlight the potential role of a research coordination initiative, the Global Land Programme (GLP), to provide guidance for more integrative research. The need to perform integrative research is particularly true for land systems, which include dynamic interactions among social and natural drivers that are often multifunctional. Thus, their governance and management is particularity complex and involve highly diverse stakeholders. A key aspect of integrative research is co-production of knowledge, understood as the interactive production of knowledge by both academics and non-academics, that leads to new forms of solutions-oriented knowledge. We relied on experiences of co-production of knowledge on land systems from the GLP network, and drove seven lessons learnt: 1) the importance of including several learning loops in the process, 2) the importance of long-term relationships, 3) the need to overcome the distinction between basic and applied science, 4) the opportunities offered by new communication technologies, 5) the need to train professionals in both breadth and depth, 6) the access to knowledge, and 7) the need to understand better the roles of scientists and decision-makers. These lessons were used to define action-research priorities for enhancing co-production of knowledge on land systems in GLP projects and working groups. As a conclusion, we argue that research coordination initiatives have the potential to provide analysis and guidance for more integrative research. This can be done by performing synthesis and self-reflection activities that

A community of practice: librarians in a biomedical research network.

Science.gov (United States)

De Jager-Loftus, Danielle P; Midyette, J David; Harvey, Barbara

2014-01-01

Providing library and reference services within a biomedical research community presents special challenges for librarians, especially those in historically lower-funded states. These challenges can include understanding needs, defining and communicating the library's role, building relationships, and developing and maintaining general and subject specific knowledge. This article describes a biomedical research network and the work of health sciences librarians at the lead intensive research institution with librarians from primarily undergraduate institutions and tribal colleges. Applying the concept of a community of practice to a collaborative effort suggests how librarians can work together to provide effective reference services to researchers in biomedicine.

Networked elearning and collaborative knowledge building

DEFF Research Database (Denmark)

Sorensen, Elsebeth Korsgaard

2005-01-01

This paper addresses the core goals for educators to stimulate participation across diversity (including life trajectories and culture) and motivate learners to engage in negotiation of meaning and knowledge building dialogue in the processes of networked learning. The paper reports on a Danish...... masters online course on networked learning for educators that attempted to realize these goals. The participating teacher learned important methods, including moderation, through experience, guided by a teacher educator whose instructional design was based on communities of practice for participants...... with different backgrounds, cultures, age, and prerequisites in a shared learning endeavor on the Web. The experience supports a twofold foundation for instructional design: the learning theoretical concept of Etienne Wenger (1998) and an orientation toward participant cultures in terms of experiences...

Research, Boundaries, and Policy in Networked Learning

DEFF Research Database (Denmark)

This book presents cutting-edge, peer reviewed research on networked learning organized by three themes: policy in networked learning, researching networked learning, and boundaries in networked learning. The "policy in networked learning" section explores networked learning in relation to policy...... networks, spaces of algorithmic governance and more. The "boundaries in networked learning" section investigates frameworks of students' digital literacy practices, among other important frameworks in digital learning. Lastly, the "research in networked learning" section delves into new research methods...

Subcontracting and network development in the value chain of Talentree Research services

OpenAIRE

Leppilampi, Antti

2013-01-01

The main goal of the research is to investigate the role of subcontractors as a part of market research companies’ value chain. Another objective of the thesis is to find out how network development and knowledge sharing can help Talentree Research services to cope with changing business environments. Data was gathered through a questionnaire and a company representative interview. The questionnaire was sent to the key persons of a randomly selected group of Finnish market research compan...

Understanding "Understanding" Flow for Network-Centric Warfare: Military Knowledge-Flow Mechanics

National Research Council Canada - National Science Library

Nissen, Mark

2002-01-01

Network-centric warfare (NCW) emphasizes information superiority for battlespace efficacy, but it is clear that the mechanics of how knowledge flows are just as important as those pertaining to the networks and communication...

Switching the poles in sexual and reproductive health research: implementing a research capacity-strengthening network in West and North Africa.

Science.gov (United States)

Dossou, Jean-Paul; Assarag, Bouchra; Delamou, Alexandre; Van der Veken, Karen; Belaid, Loubna; Ouédraogo, Moctar; Khalfallah, Sonia; Aouras, Hayet; Diadhiou, Mohamed; Fassassi, Raïmi; Delvaux, Thérèse

2016-08-08

Health research capacities have been improved in Africa but still remain weak as compared to other regions of the World. To strengthen these research capacities, international collaboration and networking for knowledge and capacity transfer are needed. In this commentary, we present the Network for Scientific Support in the field of Sexual and Reproductive Health in West and North Africa, its priority research topics and discuss its implementation process. Established in January 2014, the Network aims at generating human rights and gender-based research fully carried out and driven by South based institutions. It is composed of 12 institutions including the Institute of Tropical Medicine of Antwerp (Belgium) and 11 institutions from eight Francophone West and North African countries. The key areas of interest of this network are health policies analysis and health system research in family planning, HIV prevention among vulnerable groups, quality of care and breast cancers. Since it started, seventeen research proposals based on locally relevant research questions have been developed. Among the seventeen proposals, eleven have been implemented. Several research institutions enhanced linkages with local representations of international partners such as UNFPA. The network is committed to strengthening methodological research capacities and soft skills such as fundraising, advocacy and leadership. Such competencies are strongly needed for developing an effective South-based leadership in Sexual and Reproductive Health research, and for achieving the Sustainable Development Goals.

Development Interventions and Agriculture Adaptation: A Social Network Analysis of Farmer Knowledge Transfer in Ghana

Directory of Open Access Journals (Sweden)

Kirstie Cadger

2016-07-01

Full Text Available Social ties play an important role in agricultural knowledge exchange, particularly in developing countries with high exposure to agriculture development interventions. Institutions often facilitate agricultural training projects, with a focus on agroecological practices, such as agroforestry and agrobiodiversity. The structural characteristics of social networks amongst land managers influences decision-making to adopt such adaptive agroecoloigcal practice; however, the extent of knowledge transfer beyond direct project participants is often unknown. Using a social network approach, we chart the structure of agrarian knowledge networks (n = 131 in six communities, which have been differentially exposed to agriculture development interventions in Ghana. Farmer network size, density and composition were distinctly variable; development project-affiliated farmers were embedded in larger networks, had non-affiliated farmers within their networks, were engaged in more diverse agricultural production and reported adopting and adapting agroecological practice more frequently. Such bridging ties that link across distinctive groups in a network can expose network members to new and innovative agroecological practices, such as increasing agrobiodiversity, thus, contributing to livelihood strategies that mitigate environmental and market risk. Furthermore, we show that these knowledge networks were crop-specific where network size varied given the type of crop produced. Such factors, which may influence the rate and extent of agroecological knowledge diffusion, are critical for the effectiveness of land management practices as well as the persistence of agriculture development interventions.

Rescuing policy in tourism network research

DEFF Research Database (Denmark)

Dredge, Dianne

2018-01-01

Networks provide a powerful lens to understand complex relational entanglements that are transforming social, economic and political life. Through a discussion of the various streams of network research in tourism, this paper argues that policy matters run across and throughout these strands....... Rather than arguing for increased interest in tourism policy network research as a separate subfield, the paper argues for deeper theoretical engagement with the policy dimension in tourism network research. Researchers adopting a network ontology could gain considerable insights and open up new lines...

Knowledge translation research in population health: establishing a collaborative research agenda

Directory of Open Access Journals (Sweden)

Laurendeau Marie-Claire

2009-12-01

Full Text Available Abstract Background Despite the increasing mobilization of researchers and funding organizations around knowledge translation (KT in Canada and elsewhere, many questions have been only partially answered, particularly in the field of population health. This article presents the results of a systematic process to draw out possible avenues of collaboration for researchers, practitioners and decision-makers who work in the area of KT. The main objective was to establish a research agenda on knowledge translation in population health. Methods Using the Concept Mapping approach, the research team wanted to identify priority themes for the development of research on KT in population health. Mapping is based on multivariate statistical analyses (multidimensional scaling and hierarchical cluster analysis in which statements produced during a brainstorming session are grouped in weighted clusters. The final maps are a visual representation of the priority themes of research on KT. Especially designed for facilitating consensus in the understanding and organization of various concepts, the Concept Mapping method proved suitable for achieving this objective. Results The maps were produced by 19 participants from university settings, and from institutions within the health and social services network. Three main perspectives emerge from this operation: (1 The evaluation of the effectiveness of KT efforts is one of the main research priorities; (2 The importance of taking into consideration user contexts in any KT effort; (3 The challenges related to sharing power for decision-making and action-taking among various stakeholder groups. These perspectives open up avenues of collaboration for stakeholders who are involved in research on KT. Besides these three main perspectives, the concept maps reveal three other trends which should be emphasized. Conclusion The Concept Mapping process reported in this article aimed to provoke collective reflection on the

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...

Analyzing Enterprise Networks Needs: Action Research from the Mechatronics Sector

Science.gov (United States)

Cagnazzo, Luca; Taticchi, Paolo; Bidini, Gianni; Baglieri, Enzo

New business models and theories are developing nowadays towards collaborative environments direction, and many new tools in sustaining companies involved in these organizations are emerging. Among them, a plethora of methodologies to analyze their needs are already developed for single companies. Few academic works are available about Enterprise Networks (ENs) need analysis. This paper presents the learning from an action research (AR) in the mechatronics sector: AR has been used in order to experience the issue of evaluating network needs and therefore define, develop, and test a complete framework for network evaluation. Reflection on the story in the light of the experience and the theory is presented, as well as extrapolation to a broader context and articulation of usable knowledge.

Applying social network analysis to understand the knowledge sharing behaviour of practitioners in a clinical online discussion forum.

Science.gov (United States)

Stewart, Samuel Alan; Abidi, Syed Sibte Raza

2012-12-04

Knowledge Translation (KT) plays a vital role in the modern health care community, facilitating the incorporation of new evidence into practice. Web 2.0 tools provide a useful mechanism for establishing an online KT environment in which health practitioners share their practice-related knowledge and experiences with an online community of practice. We have implemented a Web 2.0 based KT environment--an online discussion forum--for pediatric pain practitioners across seven different hospitals in Thailand. The online discussion forum enabled the pediatric pain practitioners to share and translate their experiential knowledge to help improve the management of pediatric pain in hospitals. The goal of this research is to investigate the knowledge sharing dynamics of a community of practice through an online discussion forum. We evaluated the communication patterns of the community members using statistical and social network analysis methods in order to better understand how the online community engages to share experiential knowledge. Statistical analyses and visualizations provide a broad overview of the communication patterns within the discussion forum. Social network analysis provides the tools to delve deeper into the social network, identifying the most active members of the community, reporting the overall health of the social network, isolating the potential core members of the social network, and exploring the inter-group relationships that exist across institutions and professions. The statistical analyses revealed a network dominated by a single institution and a single profession, and found a varied relationship between reading and posting content to the discussion forum. The social network analysis discovered a healthy network with strong communication patterns, while identifying which users are at the center of the community in terms of facilitating communication. The group-level analysis suggests that there is strong interprofessional and interregional

How Researchers Use Social Media to Promote their Research and Network with Industry

Directory of Open Access Journals (Sweden)

Päivi Jaring

2017-08-01

Full Text Available Social media is now an essential information and interaction channel. Companies advertise and sell their products and services through social media, but this channel has not been so commonly applied to the task of selling knowledge and research work. This article studies the use of social media by researchers to promote their research and network with product developers in industry, and it presents a model of the use of social media by researchers. The data for this research was obtained by interviewing individual researchers of a research organization and surveying product developers from industry. The findings show that social media is seen as a good source of new information and contacts, and it is suitable for promoting awareness of research services and results. The results show that the speed and intensity of social media present challenges for researchers, but by being active in posting content and participating in discussions, researchers can derive benefits and enhance their personal reputations.

Data Use for School Improvement : Knowledge Sharing and Knowledge Brokerage in Network Structures

NARCIS (Netherlands)

Hubers, Mireille Desirée; Moolenaar, Nienke; Schildkamp, Kim; Handelzalts, Adam; Pieters, Julius Marie; Daly, A.J.; Daly, Alan J.

2015-01-01

Data teams are used in Dutch secondary education to support schools in data use for school improvement. Such teams are likely to be most effective when knowledge is shared between the data team members and brokered throughout the school. Social network structures may play an important role in this.

Uncertainty management using bayesian networks in student knowledge diagnosis

Directory of Open Access Journals (Sweden)

Adina COCU

2005-12-01

Full Text Available In intelligent tutoring systems, student or user modeling implies dealing with imperfect and uncertain knowledge. One of the artificial intelligence techniques used for uncertainty management is that of Bayesian networks. This paradigm is recommended in the situation when exist dependencies between data and qualitative information about these data. In this work we present a student knowledge diagnosis model based on representation with Bayesian networks. The educational system incorporate a multimedia interface for accomplishes the testing tools. The results of testing sessions are represented and interpreted with probability theory in order to ensure an adapted support for the student. The aims of the computer assisted application that contains this diagnose module are to support the student in personalized learning process and errors explanation.

Distance learning, problem based learning and dynamic knowledge networks.

Science.gov (United States)

Giani, U; Martone, P

1998-06-01

This paper is an attempt to develop a distance learning model grounded upon a strict integration of problem based learning (PBL), dynamic knowledge networks (DKN) and web tools, such as hypermedia documents, synchronous and asynchronous communication facilities, etc. The main objective is to develop a theory of distance learning based upon the idea that learning is a highly dynamic cognitive process aimed at connecting different concepts in a network of mutually supporting concepts. Moreover, this process is supposed to be the result of a social interaction that has to be facilitated by the web. The model was tested by creating a virtual classroom of medical and nursing students and activating a learning session on the concept of knowledge representation in health sciences.

A Very Large Area Network (VLAN) knowledge-base applied to space communication problems

Science.gov (United States)

Zander, Carol S.

1988-01-01

This paper first describes a hierarchical model for very large area networks (VLAN). Space communication problems whose solution could profit by the model are discussed and then an enhanced version of this model incorporating the knowledge needed for the missile detection-destruction problem is presented. A satellite network or VLAN is a network which includes at least one satellite. Due to the complexity, a compromise between fully centralized and fully distributed network management has been adopted. Network nodes are assigned to a physically localized group, called a partition. Partitions consist of groups of cell nodes with one cell node acting as the organizer or master, called the Group Master (GM). Coordinating the group masters is a Partition Master (PM). Knowledge is also distributed hierarchically existing in at least two nodes. Each satellite node has a back-up earth node. Knowledge must be distributed in such a way so as to minimize information loss when a node fails. Thus the model is hierarchical both physically and informationally.

Responding to the challenge of artisanal and small-scale mining. How can knowledge networks help?

Energy Technology Data Exchange (ETDEWEB)

Buxton, Abbi

2013-02-15

This paper reviews what is known about the problems and structural challenges facing the 20-30 million artisanal and small-scale miners and their communities worldwide. Better understanding of these structural challenges is needed to improve policies and policy implementation to further sustainable development opportunities for the sector. The paper explores the current gaps in knowledge to achieve policy change from researchers, practitioners and artisanal and small-scale miners themselves. It explores how a 'knowledge intermediary', which acts to link knowledge with policy, could address these gaps and includes case studies of IIED’s work on knowledge networks and programmes. The paper concludes by proposing a way forward for designing a knowledge programme to meet the particular needs of the artisanal and small-scale mining (ASM) sector, and by inviting ASM sector stakeholders to share their views on the options outlined.

Responding to the challenge of artisanal and small-scale mining. How can knowledge networks help?

Energy Technology Data Exchange (ETDEWEB)

Buxton, Abbi

2013-02-15

This paper reviews what is known about the problems and structural challenges facing the 20-30 million artisanal and small-scale miners and their communities worldwide. Better understanding of these structural challenges is needed to improve policies and policy implementation to further sustainable development opportunities for the sector. The paper explores the current gaps in knowledge to achieve policy change from researchers, practitioners and artisanal and small-scale miners themselves. It explores how a 'knowledge intermediary', which acts to link knowledge with policy, could address these gaps and includes case studies of IIED’s work on knowledge networks and programmes. The paper concludes by proposing a way forward for designing a knowledge programme to meet the particular needs of the artisanal and small-scale mining (ASM) sector, and by inviting ASM sector stakeholders to share their views on the options outlined.

Social network analysis of Iranian researchers in the field of violence.

Science.gov (United States)

Salamati, Payman; Soheili, Faramarz

2016-10-01

The social network analysis (SNA) is a paradigm for analyzing structural patterns in social re- lations, testing knowledge sharing process and identifying bottlenecks of information flow. The purpose of this study was to determine the status of research in the fleld of violence in Iran using SNA. Research population included all the papers with at least one Iranian affiliation published in violence fleld indexed in SCIE, PubMed and Scopus databases. The co-word maps, co-authorship network and structural holes were drawn using related software. In the next step, the active authors and some measures of our network including degree centrality (DC), closeness, eigenvector, betweeness, density, diameter, compactness and size of the main component were assessed. Likewise, the trend of the published articles was evaluated based on the number of documents and their citations from 1972 to 2014. Five hundred and seventy one records were obtained. The five main clusters and hot spots were mental health, violence, war, psychiatric disorders and suicide. The co-authorship network was complex, tangled and scale free. The top nine authors with cut point role and top ten active authors were identified. The mean (standard deviation) of normalized DC, closeness, eigenvector and betweeness were 0.449 (0.805), 0.609 (0.214), 2.373 (7.353) and 0.338 (1.122), respectively. The density, diameter and mean compactness of our co-authorship network were 0.0494, 3.955 and 0.125, respectively. The main component consisted of 216 nodes that formed 17% of total size of the network. Both the number of the documents and their citations has increased in the field of violence in the recent years. Although the number of the documents has recently increased in the field of violence, the information flow is slow and there are not many relations among the authors in the network. However, the active authors have ability to influence the flow of knowledge within the network.

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.

Knowledge base and neural network approach for protein secondary structure prediction.

Science.gov (United States)

Patel, Maulika S; Mazumdar, Himanshu S

2014-11-21

Protein structure prediction is of great relevance given the abundant genomic and proteomic data generated by the genome sequencing projects. Protein secondary structure prediction is addressed as a sub task in determining the protein tertiary structure and function. In this paper, a novel algorithm, KB-PROSSP-NN, which is a combination of knowledge base and modeling of the exceptions in the knowledge base using neural networks for protein secondary structure prediction (PSSP), is proposed. The knowledge base is derived from a proteomic sequence-structure database and consists of the statistics of association between the 5-residue words and corresponding secondary structure. The predicted results obtained using knowledge base are refined with a Backpropogation neural network algorithm. Neural net models the exceptions of the knowledge base. The Q3 accuracy of 90% and 82% is achieved on the RS126 and CB396 test sets respectively which suggest improvement over existing state of art methods. Copyright © 2014 Elsevier Ltd. All rights reserved.

Team knowledge research: emerging trends and critical needs.

Science.gov (United States)

Wildman, Jessica L; Thayer, Amanda L; Pavlas, Davin; Salas, Eduardo; Stewart, John E; Howse, William R

2012-02-01

This article provides a systematic review of the team knowledge literature and guidance for further research. Recent research has called attention to the need for the improved study and understanding of team knowledge. Team knowledge refers to the higher level knowledge structures that emerge from the interactions of individual team members. We conducted a systematic review of the team knowledge literature, focusing on empirical work that involves the measurement of team knowledge constructs. For each study, we extracted author degree area, study design type, study setting, participant type, task type, construct type, elicitation method, aggregation method, measurement timeline, and criterion domain. Our analyses demonstrate that many of the methodological characteristics of team knowledge research can be linked back to the academic training of the primary author and that there are considerable gaps in our knowledge with regard to the relationships between team knowledge constructs, the mediating mechanisms between team knowledge and performance, and relationships with criteria outside of team performance, among others. We also identify categories of team knowledge not yet examined based on an organizing framework derived from a synthesis of the literature. There are clear opportunities for expansion in the study of team knowledge; the science of team knowledge would benefit from a more holistic theoretical approach. Human factors researchers are increasingly involved in the study of teams. This review and the resulting organizing framework provide researchers with a summary of team knowledge research over the past 10 years and directions for improving further research.

Interventionist Research as a Network

DEFF Research Database (Denmark)

Boulus, Nina

2010-01-01

can be seen as network effects—they are produced, supported and enacted by the network. Hence, the capacity of the interventionist researcher to act in a particular role is neither located within the researcher nor the research project, but in particular socio-material arrangements. Accordingly, roles...

Comigrants and friends: informal networks and the transmission of traditional ecological knowledge among seminomadic pastoralists of Gujarat, India

Directory of Open Access Journals (Sweden)

Matthieu Salpeteur

2016-06-01

Full Text Available Previous research has shown that social organization may affect the distribution of traditional ecological knowledge (TEK within local communities of natural resource users in multiple ways. However, in this line of research the potential role of informal relationships has mostly been overlooked. In this article, we contribute toward filling this research gap by studying how two types of informal relationships, namely migration partnership and friendship, affect the distribution of TEK within a community of seminomadic pastoralists from the Kutch area, Gujarat, India. Using social network analysis, we map three networks, migration, men friendship, and women friendship, and compare with similarity-based quantitative approaches the clusters extracted from these networks in relation to four domains of TEK: knowledge about soils, about ethnoveterinary practices, about sheep breeds, and in ethnobotany. Our results show that (1 migration clusters are associated to significant variations in three TEK domains, while (2 friendship clusters are associated to minor variations. We relate these results to the importance of common practical experiences involved by joint migration. Moreover, kin relations are shown to strongly underlie friendship and migration relations, and as such appear as a potential driver of the dynamics of the local TEK system. We conclude by advocating for a better inclusion of such informal relationships in future research on local TEK dynamics, following recent developments in studies on natural resource governance.

Multi-business firms, knowledge flows and intra-network open innovations

OpenAIRE

Villasalero, Manuel

2015-01-01

The increasing competition in the marketplace has led firms to change their innovation patterns to a more open system according to which they rely on networks to manage knowledge resources and innovate. The so-called open innovation paradigm has been developed by taking single-business firms and external networks as cornerstones of the standard model. However, in the case of multi-business firms, the role of internal networks has been neglected. Business units within multi-business corporatio...

Network Framing of Pest Management Knowledge and Practice

Science.gov (United States)

Moore, Keith M.

2008-01-01

Conventional technology transfer is based on the assumption that autonomous individuals independently make behavioral decisions. In contrast, Actor-Network Theory (ANT) suggests that people and technologies are interconnected in ways that reinforce and reproduce some types of knowledge and consequent behavioral practices, but not others. Research…

Tensions in R&D networks : Implications for knowledge search and integration

NARCIS (Netherlands)

Ritala, Paavo; Huizingh, Eelko; Almpanopoulou, Argyro; Wijbenga, Paul

R&D Networks comprise different actors with various goals and motivations. Thus, such networks are filled with tensions that emerge from simultaneously existing, competing or contradictory organizing elements and demands. In this study, we examine the knowledge search and integration behaviour of

Modeling knowledge networks in economic geography: a discussion of four methods

NARCIS (Netherlands)

Broekel, Tom; Balland, Pierre-Alexandre; Burger, Martijn; van Oort, Frank

2014-01-01

The importance of network structures for the transmission of knowledge and the diffusion of technological change has been recently emphasized in economic geography. Since network structures drive the innovative and economic performance of actors in regional contexts, it is crucial to explain

KNOWNET: Exploring Interactive Knowledge Networking across Insurance Supply Chains

OpenAIRE

Grant, Susan

2014-01-01

[EN] Social media has become an extremely powerful phenomenon with millions of users who post status updates, blog, links and pictures on social networking sites such as Facebook, LinkedIn, and Twitter. However, social networking has so far spread mainly among consumers. Businesses are only now beginning to acknowledge the benefits of using social media to enhance employee and supplier collaboration to support new ideas and innovation through knowledge sharing across functions and organizatio...

Organizational knowledge building through action research

DEFF Research Database (Denmark)

Hansen, Lone Hersted; Frimann, Søren

learning and change processes in relation to organizational knowledge building and knowledge sharing. The project draws on the dialogue tradition within action research (Coghlan et al.; 2010; Reason & Bradbury, 2001; Ripamonti et al 2016) and social constructionist ideas (Cunliffe 2002, 2004; Gergen 2003...... 2005; Chia 1996; Tsoukas, & Chia (2002)) based on a dialogical approach. Two internal consultants fulfill the roles as process facilitators of the action research process, and the two researchers from Aalborg University (LH and SF) are contributing with ideas, sparring, qualitative research design...... in a collaborative setting for learning, involving employees and managers, including as well the sharing of knowledge throughout the organization? In addition, we are curious to examine whether action research as an inquiry for learning and change can act as an alternative to the New Public Management paradigm...

Using Social Network Research in HRM

DEFF Research Database (Denmark)

Kaše, Robert; King, Zella; Minbaeva, Dana

2013-01-01

; the impact of social networking sites on perceptions of relationships; and ethical issues in organizational network analysis, we propose specific suggestions to bring social network perspectives closer to HRM researchers and practitioners and rebalance our attention to people and to their relationships.......The article features a conversation between Rob Cross and Martin Kilduff about organizational network analysis in research and practice. It demonstrates the value of using social network perspectives in HRM. Drawing on the discussion about managing personal networks; managing the networks of others...

Community-based participatory research and integrated knowledge translation: advancing the co-creation of knowledge.

Science.gov (United States)

Jull, Janet; Giles, Audrey; Graham, Ian D

2017-12-19

Better use of research evidence (one form of "knowledge") in health systems requires partnerships between researchers and those who contend with the real-world needs and constraints of health systems. Community-based participatory research (CBPR) and integrated knowledge translation (IKT) are research approaches that emphasize the importance of creating partnerships between researchers and the people for whom the research is ultimately meant to be of use ("knowledge users"). There exist poor understandings of the ways in which these approaches converge and diverge. Better understanding of the similarities and differences between CBPR and IKT will enable researchers to use these approaches appropriately and to leverage best practices and knowledge from each. The co-creation of knowledge conveys promise of significant social impacts, and further understandings of how to engage and involve knowledge users in research are needed. We examine the histories and traditions of CBPR and IKT, as well as their points of convergence and divergence. We critically evaluate the ways in which both have the potential to contribute to the development and integration of knowledge in health systems. As distinct research traditions, the underlying drivers and rationale for CBPR and IKT have similarities and differences across the areas of motivation, social location, and ethics; nevertheless, the practices of CBPR and IKT converge upon a common aim: the co-creation of knowledge that is the result of knowledge user and researcher expertise. We argue that while CBPR and IKT both have the potential to contribute evidence to implementation science and practices for collaborative research, clarity for the purpose of the research-social change or application-is a critical feature in the selection of an appropriate collaborative approach to build knowledge. CBPR and IKT bring distinct strengths to a common aim: to foster democratic processes in the co-creation of knowledge. As research

Effects of Knowledge Sharing and Social Presence on the Intention to Continuously Use Social Networking Sites: The Case of Twitter in Korea

Science.gov (United States)

Park, Bong-Won; Lee, Kun Chang

Recent surge of social networking websites in the world supports a widely accepted assumption that people aspires to be recognized online by sharing information with others, perceive enjoyment and keeps to use their social networking site continuously. Different from traditional social networking sites (SNSs) like Cyworld and Facebook, Twitter is famous for its short message and ease of sharing knowledge with others in a prompt manner. Therefore, Twitter is preferred most by many people who seem innovative generically. In this sense, Twitter accumulates its fame as the most influential SNS media among users. However, there is no study to investigate why people holds continuous intention to use the Twitter from the perspective of knowledge-sharing and social presence. To resolve this research issue, this paper adopts six constructs such as personal innovativeness, knowledge-sharing intention, perceived ease of use, perceived enjoyment, social presence, and intention to continuously use. Empirical results with 105 valid questionnaires revealed that the proposed research model is statistically significant, and people's intention to use the Twitter continuously is influenced by social presence, perceived enjoyment, and perceived ease of use.

The hidden networks of knowledge in ISO 14001

DEFF Research Database (Denmark)

Jørgensen, Ulrik

2003-01-01

The ISO 14001 standard is defined as a management standard based on an assumed existing knowledge base of what is to be considered being environmental problems. In the implementation of the standard is become evident, that its use and impact is entirely dependent of the existence of networks...

Towards One Health Knowledge Networks: A Southern African Centre of Infectious Disease Surveillance case study

Directory of Open Access Journals (Sweden)

Eric Beda

2012-06-01

Full Text Available The dynamic nature of new information and/or knowledge is a big challenge for information systems. Early knowledge management systems focused entirely on technologies for storing, searching and retrieving data; these systems have proved a failure. Juirsica and Mylopoulos1 suggested that in order to build effective technologies for knowledge management, we need to further our understanding of how individuals, groups and organisations use knowledge. As the focus on knowledge management for organisations and consortia alike is moving towards a keen appreciation of how deeply knowledge is embedded in people’s experiences, there is a general realisation that knowledge cannot be stored or captured digitally. This puts more emphasis in creating enabling environments for interactions that stimulate knowledge sharing. Our work aims at developing an un-obtrusive intelligent system that glues together effective contemporary and traditional technologies to aid these interactions and manage the information captured. In addition this system will include tools to aid propagating a repository of scientific information relevant to surveillance of infectious diseases to complement knowledge shared and/or acts as a point of reference. This work is ongoing and based on experiences in developing a knowledge network management system for the Southern African Centre of Infectious Disease Surveillance (SACIDS, A One Health consortium of southern African academic and research institutions involved with infectious diseases of humans and animals in partnership with world-renowned centres of research in industrialised countries.

Knowledge-Based Multiple Access Protocol in Broadband Wireless ATM Networks

DEFF Research Database (Denmark)

Liu, Hong; Gliese, Ulrik Bo; Dittmann, Lars

1999-01-01

In this paper, we propose a knowledge-based multiple access protocol for the extension of wireline ATM to wireless networks. The objective is to enable effecient transmission of all kinds of ATM traffic in the wireless channel with guaranteed QoS.The proposed protocol utilixes knowledge of the main...... guaranteed QoS requirements to a variety of ATM applications....

The Value of Sustainable Knowledge Transfer Methods for SMEs, Utilizing Socio-Technical Networks and Complex Systems

Directory of Open Access Journals (Sweden)

Susu Nousala

2010-12-01

Full Text Available This paper will examine the development of sustainable SME methods for tracking tacit (informal knowledge transfer as a series of networks of larger complex system. Understanding sustainable systems begins with valuing tacit knowledge networks and their ability to produce connections on multiple levels. The behaviour of the social or socio aspects of a system in relation to the explicit formal/physical structures need to be understood and actively considered when utilizing methodologies for interacting within complex systems structures. This paper utilizes theory from several previous studies to underpin the key case study discussed. This approach involved examining the behavioural phenomena of an SME knowledge network. The knowledge network elements were highlighted to identify their value within an SME structure. To understand the value of these emergent elements from between tacit and explicit knowledge networks, is to actively, simultaneously and continuous support sustainable development for SME organizations. The simultaneous links within and between groups of organizations is crucial for understanding sustainable networking structures of complex systems.

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.

Proposed Development of NASA Glenn Research Center's Aeronautical Network Research Simulator

Science.gov (United States)

Nguyen, Thanh C.; Kerczewski, Robert J.; Wargo, Chris A.; Kocin, Michael J.; Garcia, Manuel L.

2004-01-01

Accurate knowledge and understanding of data link traffic loads that will have an impact on the underlying communications infrastructure within the National Airspace System (NAS) is of paramount importance for planning, development and fielding of future airborne and ground-based communications systems. Attempting to better understand this impact, NASA Glenn Research Center (GRC), through its contractor Computer Networks & Software, Inc. (CNS, Inc.), has developed an emulation and test facility known as the Virtual Aircraft and Controller (VAC) to study data link interactions and the capacity of the NAS to support Controller Pilot Data Link Communications (CPDLC) traffic. The drawback of the current VAC test bed is that it does not allow the test personnel and researchers to present a real world RF environment to a complex airborne or ground system. Fortunately, the United States Air Force and Navy Avionics Test Commands, through its contractor ViaSat, Inc., have developed the Joint Communications Simulator (JCS) to provide communications band test and simulation capability for the RF spectrum through 18 GHz including Communications, Navigation, and Identification and Surveillance functions. In this paper, we are proposing the development of a new and robust test bed that will leverage on the existing NASA GRC's VAC and the Air Force and Navy Commands JCS systems capabilities and functionalities. The proposed NASA Glenn Research Center's Aeronautical Networks Research Simulator (ANRS) will combine current Air Traffic Control applications and physical RF stimulation into an integrated system capable of emulating data transmission behaviors including propagation delay, physical protocol delay, transmission failure and channel interference. The ANRS will provide a simulation/stimulation tool and test bed environment that allow the researcher to predict the performance of various aeronautical network protocol standards and their associated waveforms under varying

Exploring the Knowledge Structure of Nursing Care for Older Patients With Delirium: Keyword Network Analysis.

Science.gov (United States)

Choi, Jung Eun; Kim, Mi So

2018-05-01

Prevention of delirium is considered a critical part of the agenda for patient safety and an indicator of healthcare quality for older patients. As the incidence rate of delirium for older patients has increased in recent years, there has been a significant expansion in knowledge relevant to nursing care. The purposes of this study were to analyze the knowledge structure and trends in nursing care for older adults with delirium based on a keyword network analysis, and to provide a foundation for future research. Data analysis showed that knowledge structure in this area consists of three themes of research: postoperative acute care for older patients with delirium, prevention of delirium for older patients in intensive care units, and safety management for the improvement of outcomes for patients with delirium. Through research trend analysis, we found that research on care for patients with delirium has achieved both quantitative and qualitative improvements over the last decades. Concerning future research, we propose the expansion of patient- and family-centered care, community care, specific nursing interventions, and the integration of new technology into care for patients with delirium. These results provide a reference framework for understanding and developing nursing care for older adults with delirium.

Framework for Explaining the Formation of Knowledge Intensive Entrepreneurial Born Global Firm: Entrepreneurial, Strategic and Network Based Constituents

Directory of Open Access Journals (Sweden)

Vytaute Dlugoborskyte

2017-01-01

Full Text Available The nature of the knowledge based entrepreneurship relates to its essential reliance on research and development, deployment and maximization of research and development returns via technology development, and its commercialization via venturing. The paper aims to provide the empirically grounded framework for the analysis of the key determinants leading to the formation of R&D intensive entrepreneurial born global firm with a special focus on entrepreneurial firm and network theories. The unit of analysis chosen is the firm, while the focus is set on the firm behavior and strategic choices rather the business conditions per se. The paper aims to propose the definition of a born global firm as a specific form of entrepreneurial firm that forms while combining entrepreneurial, strategy and network constituents in a specific globally oriented constitution. Method of analysis applied is a multiple case study that was applied in order to build evidence on the interplay of strategy, networks and entrepreneurial constituents in the formation of knowledge intensive entrepreneurial born global firm. The small catching up country perspective adds on dynamics of the constituents as the framework and competitive conditions rapidly change in an uncertain direction.

A network-based approach for semi-quantitative knowledge mining and its application to yield variability

Science.gov (United States)

Schauberger, Bernhard; Rolinski, Susanne; Müller, Christoph

2016-12-01

Variability of crop yields is detrimental for food security. Under climate change its amplitude is likely to increase, thus it is essential to understand the underlying causes and mechanisms. Crop models are the primary tool to project future changes in crop yields under climate change. A systematic overview of drivers and mechanisms of crop yield variability (YV) can thus inform crop model development and facilitate improved understanding of climate change impacts on crop yields. Yet there is a vast body of literature on crop physiology and YV, which makes a prioritization of mechanisms for implementation in models challenging. Therefore this paper takes on a novel approach to systematically mine and organize existing knowledge from the literature. The aim is to identify important mechanisms lacking in models, which can help to set priorities in model improvement. We structure knowledge from the literature in a semi-quantitative network. This network consists of complex interactions between growing conditions, plant physiology and crop yield. We utilize the resulting network structure to assign relative importance to causes of YV and related plant physiological processes. As expected, our findings confirm existing knowledge, in particular on the dominant role of temperature and precipitation, but also highlight other important drivers of YV. More importantly, our method allows for identifying the relevant physiological processes that transmit variability in growing conditions to variability in yield. We can identify explicit targets for the improvement of crop models. The network can additionally guide model development by outlining complex interactions between processes and by easily retrieving quantitative information for each of the 350 interactions. We show the validity of our network method as a structured, consistent and scalable dictionary of literature. The method can easily be applied to many other research fields.

Personal networks: a tool for gaining insight into the transmission of knowledge about food and medicinal plants among Tyrolean (Austrian) migrants in Australia, Brazil and Peru.

Science.gov (United States)

Haselmair, Ruth; Pirker, Heidemarie; Kuhn, Elisabeth; Vogl, Christian R

2014-01-07

Investigations into knowledge about food and medicinal plants in a certain geographic area or within a specific group are an important element of ethnobotanical research. This knowledge is context specific and dynamic due to changing ecological, social and economic circumstances. Migration processes affect food habits and the knowledge and use of medicinal plants as a result of adaptations that have to be made to new surroundings and changing environments. This study analyses and compares the different dynamics in the transmission of knowledge about food and medicinal plants among Tyrolean migrants in Australia, Brazil and Peru. A social network approach was used to collect data on personal networks of knowledge about food and medicinal plants among Tyroleans who have migrated to Australia, Brazil and Peru and their descendants. A statistical analysis of the personal network maps and a qualitative analysis of the narratives were combined to provide insight into the process of transmitting knowledge about food and medicinal plants. 56 personal networks were identified in all (food: 30; medicinal plants: 26) across all the field sites studied here. In both sets of networks, the main source of knowledge is individual people (food: 71%; medicinal plants: 68%). The other sources mentioned are print and audiovisual media, organisations and institutions. Personal networks of food knowledge are larger than personal networks of medicinal plant knowledge in all areas of investigation. Relatives play a major role as transmitters of knowledge in both domains. Human sources, especially relatives, play an important role in knowledge transmission in both domains. Reference was made to other sources as well, such as books, television, the internet, schools and restaurants. By taking a personal network approach, this study reveals the mode of transmission of knowledge about food and medicinal plants within a migrational context.

Personal networks: a tool for gaining insight into the transmission of knowledge about food and medicinal plants among Tyrolean (Austrian) migrants in Australia, Brazil and Peru

Science.gov (United States)

2014-01-01

Background Investigations into knowledge about food and medicinal plants in a certain geographic area or within a specific group are an important element of ethnobotanical research. This knowledge is context specific and dynamic due to changing ecological, social and economic circumstances. Migration processes affect food habits and the knowledge and use of medicinal plants as a result of adaptations that have to be made to new surroundings and changing environments. This study analyses and compares the different dynamics in the transmission of knowledge about food and medicinal plants among Tyrolean migrants in Australia, Brazil and Peru. Methods A social network approach was used to collect data on personal networks of knowledge about food and medicinal plants among Tyroleans who have migrated to Australia, Brazil and Peru and their descendants. A statistical analysis of the personal network maps and a qualitative analysis of the narratives were combined to provide insight into the process of transmitting knowledge about food and medicinal plants. Results 56 personal networks were identified in all (food: 30; medicinal plants: 26) across all the field sites studied here. In both sets of networks, the main source of knowledge is individual people (food: 71%; medicinal plants: 68%). The other sources mentioned are print and audiovisual media, organisations and institutions. Personal networks of food knowledge are larger than personal networks of medicinal plant knowledge in all areas of investigation. Relatives play a major role as transmitters of knowledge in both domains. Conclusions Human sources, especially relatives, play an important role in knowledge transmission in both domains. Reference was made to other sources as well, such as books, television, the internet, schools and restaurants. By taking a personal network approach, this study reveals the mode of transmission of knowledge about food and medicinal plants within a migrational context. PMID:24398225

Knowledge exchange in the UK CLAHRCs.

Science.gov (United States)

Racko, Girts

2018-04-09

Purpose The purpose of this paper is to examine how knowledge exchange between academics and clinicians in Collaborations for Leadership in Applied Health Research and Care (CLAHRCs) is influenced by their social position based on their symbolic and social capitals, that is, their personal professional status and connections to high-status professional peers, knowledge brokers, and unfamiliar professional peers. Design/methodology/approach Using an online survey, the author triangulates the cross-sectional measurement of the effects of academic and clinicians' social position in the initial and later phases of CLAHRCs with the longitudinal measurement of these effects over a two-year period. Findings First, academics and clinicians with a higher personal professional status are more likely to develop joint networks and decision making both in the early and later phases of a CLAHRC. Second, academics and clinicians who are more connected to higher status occupational peers are more likely to develop joint networks in the early phase of a knowledge exchange partnership but are less likely to become engaged in joint networks over time. Third, involvement of knowledge brokers in the networks of academics and clinicians is likely to facilitate their inter-professional networking only in the later partnership phase. Practical implications Academics and clinicians' capitals have a distinctive influence on knowledge exchange in the early and later phases of CLAHRCs and on a change in knowledge exchange over a two-year period. Originality/value Prior research on CLAHRCs has examined how knowledge exchange between academics and clinicians can be encouraged by the creation of shared governance mechanisms. The author advances this research by highlighting the role of their social position in facilitating knowledge exchange.

A Survey of Knowledge Management Research & Development at NASA Ames Research Center

Science.gov (United States)

Keller, Richard M.; Clancy, Daniel (Technical Monitor)

2002-01-01

This chapter catalogs knowledge management research and development activities at NASA Ames Research Center as of April 2002. A general categorization scheme for knowledge management systems is first introduced. This categorization scheme divides knowledge management capabilities into five broad categories: knowledge capture, knowledge preservation, knowledge augmentation, knowledge dissemination, and knowledge infrastructure. Each of nearly 30 knowledge management systems developed at Ames is then classified according to this system. Finally, a capsule description of each system is presented along with information on deployment status, funding sources, contact information, and both published and internet-based references.

Optimizing Knowledge Sharing in Learning Networks through Peer Tutoring

NARCIS (Netherlands)

Hsiao, Amy; Brouns, Francis; Kester, Liesbeth; Sloep, Peter

2009-01-01

Hsiao, Y. P., Brouns, F., Kester, L., & Sloep, P. (2009). Optimizing Knowledge Sharing in Learning Networks through Peer Tutoring. Presentation at the IADIS international conference on Cognition and Exploratory in Digital Age (CELDA 2009). November, 20-22, 2009, Rome, Italy.

Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data

Directory of Open Access Journals (Sweden)

Gao Shouguo

2011-08-01

Full Text Available Abstract Background Bayesian Network (BN is a powerful approach to reconstructing genetic regulatory networks from gene expression data. However, expression data by itself suffers from high noise and lack of power. Incorporating prior biological knowledge can improve the performance. As each type of prior knowledge on its own may be incomplete or limited by quality issues, integrating multiple sources of prior knowledge to utilize their consensus is desirable. Results We introduce a new method to incorporate the quantitative information from multiple sources of prior knowledge. It first uses the Naïve Bayesian classifier to assess the likelihood of functional linkage between gene pairs based on prior knowledge. In this study we included cocitation in PubMed and schematic similarity in Gene Ontology annotation. A candidate network edge reservoir is then created in which the copy number of each edge is proportional to the estimated likelihood of linkage between the two corresponding genes. In network simulation the Markov Chain Monte Carlo sampling algorithm is adopted, and samples from this reservoir at each iteration to generate new candidate networks. We evaluated the new algorithm using both simulated and real gene expression data including that from a yeast cell cycle and a mouse pancreas development/growth study. Incorporating prior knowledge led to a ~2 fold increase in the number of known transcription regulations recovered, without significant change in false positive rate. In contrast, without the prior knowledge BN modeling is not always better than a random selection, demonstrating the necessity in network modeling to supplement the gene expression data with additional information. Conclusion our new development provides a statistical means to utilize the quantitative information in prior biological knowledge in the BN modeling of gene expression data, which significantly improves the performance.

Testing knowledge sharing effectiveness: trust, motivation, leadership style, workplace spirituality and social network embedded model

Directory of Open Access Journals (Sweden)

Rahman Muhammad Sabbir

2015-12-01

Full Text Available The aim of this inquiry is to investigate the relationships among the antecedents of knowledge sharing effectiveness under the position of non-academic staff of higher learning institutions through an empirical test of a conceptual model consisting of trust, extrinsic and intrinsic motivation, leadership style, workplace spirituality and online social network. This study used the respondents from the non-academic staff of higher learning institutions in Malaysia (n = 200, utilizing a self-administered survey questionnaire. The structural equation modeling approach was used to test the proposed hypotheses. The outcomes indicate that all the antecedents play a substantial function in knowledge sharing effectiveness. In addition, perceived risk plays a mediating role between trust and knowledge sharing effectiveness. On the other hand, this research also proved the communication skill also plays a mediating role between leadership style and knowledge sharing effectiveness. This study contributes to pioneering empirical findings on knowledge sharing literature under the scope of the non-academic staff perspective.

Exploiting Mobile Ad Hoc Networking and Knowledge Generation to Achieve Ambient Intelligence

Directory of Open Access Journals (Sweden)

Anna Lekova

2012-01-01

Full Text Available Ambient Intelligence (AmI joins together the fields of ubiquitous computing and communications, context awareness, and intelligent user interfaces. Energy, fault-tolerance, and mobility are newly added dimensions of AmI. Within the context of AmI the concept of mobile ad hoc networks (MANETs for “anytime and anywhere” is likely to play larger roles in the future in which people are surrounded and supported by small context-aware, cooperative, and nonobtrusive devices that will aid our everyday life. The connection between knowledge generation and communication ad hoc networking is symbiotic—knowledge generation utilizes ad hoc networking to perform their communication needs, and MANETs will utilize the knowledge generation to enhance their network services. The contribution of the present study is a distributed evolving fuzzy modeling framework (EFMF to observe and categorize relationships and activities in the user and application level and based on that social context to take intelligent decisions about MANETs service management. EFMF employs unsupervised online one-pass fuzzy clustering method to recognize nodes' mobility context from social scenario traces and ubiquitously learn “friends” and “strangers” indirectly and anonymously.

Expert knowledge maps for knowledge management: a case study in Traditional Chinese Medicine research.

Science.gov (United States)

Cui, Meng; Yang, Shuo; Yu, Tong; Yang, Ce; Gao, Yonghong; Zhu, Haiyan

2013-10-01

To design a model to capture information on the state and trends of knowledge creation, at both an individual and an organizational level, in order to enhance knowledge management. We designed a graph-theoretic knowledge model, the expert knowledge map (EKM), based on literature-based annotation. A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model. The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs, expert graphs, and expert-knowledge biography. Our model could help to reveal the hot topics, trends, and products of the research done by an organization. It can potentially be used to facilitate knowledge learning, sharing and decision-making among researchers, academicians, students, and administrators of organizations.

Organizational Politics, Social Network, and Knowledge Management

Science.gov (United States)

Lee, Hyun Jung; Kang, Sora; Lee, Jongwon

This research identifies the social relationship and structure among members as well as organization’s political inclination, through which, it also identifies the current status of knowledge management. The result shows that the socio-technological factors (individual, knowledge and IT factors) affect knowledge transfer and the knowledge transfer influences performance and that the members’ relationship based on the political inclination of the organization has a major moderating effect on the above two relation.

Action Research as a Network

DEFF Research Database (Denmark)

Boulus-Rødje, Nina

2012-01-01

This paper explores roles and interventions in IS action research. I draw upon a four-year research project about electronic medical records, conducted in close collaboration with a community partner. Following a self-reflexive stance, I trace the trajectory of the research engagement...... and the different roles I occupied. To better understand the complex nature of collaboration found within action research projects, I propose conceptualizing action research as a network. The network framework directs our attention to the collective production and the conditions through which roles...... this influences the researcher’s agency....

Making health policy: networks in research and policy after 1945.

Science.gov (United States)

Berridge, Virginia

2005-01-01

Science and policy in health and medicine have interacted in new ways in Britain since 1945. The relationship between research and policy has a history. The changing role of social medicine, the rise of health services research and "customer contractor" policies in government have been important. The relationship between research and policy has been analysed by different schools of thought. This chapter categorises them as several groups: "evidence-based", "journalism", "sociology of scientific knowledge" and "science policy studies". The chapters in the book illuminate aspects of these changing relationships. The role of chronic disease epidemiology, of new networks in public health, of media-focussed activism, and of health technology and its advocates have been more important than political interest.

Optimizing Knowledge Sharing In Learning Networks Through Peer Tutoring

NARCIS (Netherlands)

Hsiao, Amy; Brouns, Francis; Kester, Liesbeth; Sloep, Peter

2009-01-01

Hsiao, Y. P., Brouns, F., Kester, L., & Sloep, P. B. (2009). Optimizing Knowledge Sharing In Learning Networks Through Peer Tutoring. In D. Kinshuk, J. Sampson, J. Spector, P. Isaías, P. Barbosa & D. Ifenthaler (Eds.). Proceedings of IADIS International Conference Cognition and Exploratory Learning

Self organising hypothesis networks: a new approach for representing and structuring SAR knowledge.

Science.gov (United States)

Hanser, Thierry; Barber, Chris; Rosser, Edward; Vessey, Jonathan D; Webb, Samuel J; Werner, Stéphane

2014-01-01

Combining different sources of knowledge to build improved structure activity relationship models is not easy owing to the variety of knowledge formats and the absence of a common framework to interoperate between learning techniques. Most of the current approaches address this problem by using consensus models that operate at the prediction level. We explore the possibility to directly combine these sources at the knowledge level, with the aim to harvest potentially increased synergy at an earlier stage. Our goal is to design a general methodology to facilitate knowledge discovery and produce accurate and interpretable models. To combine models at the knowledge level, we propose to decouple the learning phase from the knowledge application phase using a pivot representation (lingua franca) based on the concept of hypothesis. A hypothesis is a simple and interpretable knowledge unit. Regardless of its origin, knowledge is broken down into a collection of hypotheses. These hypotheses are subsequently organised into hierarchical network. This unification permits to combine different sources of knowledge into a common formalised framework. The approach allows us to create a synergistic system between different forms of knowledge and new algorithms can be applied to leverage this unified model. This first article focuses on the general principle of the Self Organising Hypothesis Network (SOHN) approach in the context of binary classification problems along with an illustrative application to the prediction of mutagenicity. It is possible to represent knowledge in the unified form of a hypothesis network allowing interpretable predictions with performances comparable to mainstream machine learning techniques. This new approach offers the potential to combine knowledge from different sources into a common framework in which high level reasoning and meta-learning can be applied; these latter perspectives will be explored in future work.

The UK-SEA-ME Psychosocial-Cultural Cancer Research Network: setting the stage for applied qualitative research on cancer health behaviour in southeast Asia and the Middle East.

Science.gov (United States)

Lim, Jennifer N W

2011-01-01

Psychosocial and cultural factors influencing cancer health behaviour have not been systematically investigated outside the western culture, and qualitative research is the best approach for this type of social research. The research methods employed to study health problems in Asia predominantly are quantitative techniques. The set up of the first psychosocial cancer research network in Asia marks the beginning of a collaboration to promote and spearhead applied qualitative healthcare research in cancer in the UK, Southeast Asia and the Middle East. This paper sets out the rationale, objectives and mission for the UK-SEA-ME Psychosocial-Cultural Cancer Research Network. The UK-SEA-ME network is made up of collaborators from the University of Leeds (UK), the University of Malaya (Malaysia), the National University of Singapore (Singapore) and the University of United Arab Emirates (UAE). The network promotes applied qualitative research to investigate the psychosocial and cultural factors influencing delayed and late presentation and diagnosis for cancer (breast cancer) in partner countries, as well as advocating the use of the mixed-methods research approach. The network also offers knowledge transfer for capacity building within network universities. The mission of the network is to improve public awareness about the importance of early management and prevention of cancer through research in Asia.

Research Award: Networked Economies

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

Office 2004 Test Drive User

2015-08-06

year, paid, ... the areas of democracy, human rights and economic growth. ... Networked Economies is seeking a Research Award Recipient to explore research questions ... such as engineering or computer/information science;.

The impact of social networks on knowledge transfer in long-term care facilities: Protocol for a study

Directory of Open Access Journals (Sweden)

Valente Thomas W

2010-06-01

Full Text Available Abstract Background Social networks are theorized as significant influences in the innovation adoption and behavior change processes. Our understanding of how social networks operate within healthcare settings is limited. As a result, our ability to design optimal interventions that employ social networks as a method of fostering planned behavior change is also limited. Through this proposed project, we expect to contribute new knowledge about factors influencing uptake of knowledge translation interventions. Objectives Our specific aims include: To collect social network data among staff in two long-term care (LTC facilities; to characterize social networks in these units; and to describe how social networks influence uptake and use of feedback reports. Methods and design In this prospective study, we will collect data on social networks in nursing units in two LTC facilities, and use social network analysis techniques to characterize and describe the networks. These data will be combined with data from a funded project to explore the impact of social networks on uptake and use of feedback reports. In this parent study, feedback reports using standardized resident assessment data are distributed on a monthly basis. Surveys are administered to assess report uptake. In the proposed project, we will collect data on social networks, analyzing the data using graphical and quantitative techniques. We will combine the social network data with survey data to assess the influence of social networks on uptake of feedback reports. Discussion This study will contribute to understanding mechanisms for knowledge sharing among staff on units to permit more efficient and effective intervention design. A growing number of studies in the social network literature suggest that social networks can be studied not only as influences on knowledge translation, but also as possible mechanisms for fostering knowledge translation. This study will contribute to building

Stakeholder engagement and knowledge exchange in environmental research.

Science.gov (United States)

Phillipson, Jeremy; Lowe, Philip; Proctor, Amy; Ruto, Eric

2012-03-01

It is commonly put forward that effective uptake of research in policy or practice must be built upon a foundation of active knowledge exchange and stakeholder engagement during the research. However, what is often lacking is a systematic appreciation of the specific practices of knowledge exchange and their relative merits. The paper reports on a 2009 survey of 21 research projects within the UK Research Councils' Rural Economy and Land Use Programme regarding the involvement and perceived impact of over a thousand stakeholders in the research. The survey reveals that most stakeholders were involved as research subjects or as event participants. Large numbers were also engaged in the research process itself, including involvement in shaping the direction of research. Stakeholder engagement is perceived as bringing significant benefits to the process of knowledge production. A close relationship is found between mechanisms and approaches to knowledge exchange and the spread of benefits for researchers and stakeholders. Mutual benefits are gained from exchange of staff or where stakeholders are members of research advisory groups. Different stakeholder sectors are also associated with different patterns of engagement, which lead to contrasting impact patterns. Any efforts to alter knowledge exchange processes and outcomes must overcome these differing engagement tendencies. Overall, much greater attention should be given to early processes of knowledge exchange and stakeholder engagement within the lifetime of research projects. Copyright © 2011 Elsevier Ltd. All rights reserved.

Predicting Mycobacterium tuberculosis Complex Clades Using Knowledge-Based Bayesian Networks

Directory of Open Access Journals (Sweden)

Minoo Aminian

2014-01-01

Full Text Available We develop a novel approach for incorporating expert rules into Bayesian networks for classification of Mycobacterium tuberculosis complex (MTBC clades. The proposed knowledge-based Bayesian network (KBBN treats sets of expert rules as prior distributions on the classes. Unlike prior knowledge-based support vector machine approaches which require rules expressed as polyhedral sets, KBBN directly incorporates the rules without any modification. KBBN uses data to refine rule-based classifiers when the rule set is incomplete or ambiguous. We develop a predictive KBBN model for 69 MTBC clades found in the SITVIT international collection. We validate the approach using two testbeds that model knowledge of the MTBC obtained from two different experts and large DNA fingerprint databases to predict MTBC genetic clades and sublineages. These models represent strains of MTBC using high-throughput biomarkers called spacer oligonucleotide types (spoligotypes, since these are routinely gathered from MTBC isolates of tuberculosis (TB patients. Results show that incorporating rules into problems can drastically increase classification accuracy if data alone are insufficient. The SITVIT KBBN is publicly available for use on the World Wide Web.

Using Network Science to Support Design Research

DEFF Research Database (Denmark)

Parraguez Ruiz, Pedro; Maier, Anja

2016-01-01

and societal impact. This chapter contributes to the use of network science in empirical studies of design organisations. It focuses on introducing a network-based perspective on the design process and in particular on making use of network science to support design research and practice. The main contribution...... of this chapter is an overview of the methodological challenges and core decision points when embarking on network-based design research, namely defining the overall research purpose and selecting network features. We furthermore highlight the potential for using archival data, the opportunities for navigating...

Creating a Knowledge Translation Platform: nine lessons from the Zambia Forum for Health Research

Directory of Open Access Journals (Sweden)

Kasonde Joseph M

2012-10-01

Full Text Available Abstract The concept of the Knowledge Translation Platform (KTP provides cohesion and leadership for national–level knowledge translation efforts. In this review, we discuss nine key lessons documenting the experience of the Zambia Forum for Health Research, primarily to inform and exchange experience with the growing community of African KTPs. Lessons from ZAMFOHR’s organizational development include the necessity of selecting a multi-stakeholder and -sectoral Board of Directors; performing comprehensive situation analyses to understand not only the prevailing research-and-policy dynamics but a precise operational niche; and selecting a leader that bridges the worlds of research and policy. Programmatic lessons include focusing on building the capacity of both policy-makers and researchers; building a database of local evidence and national-level actors involved in research and policy; and catalyzing work in particular issue areas by identifying leaders from the research community, creating policy-maker demand for research evidence, and fostering the next generation by mentoring both up-and-coming researchers and policy–makers. Ultimately, ZAMFOHR’s experience shows that an African KTP must pay significant attention to its organizational details. A KTP must also invest in the skill base of the wider community and, more importantly, of its own staff. Given the very real deficit of research-support skills in most low-income countries – in synthesis, in communications, in brokering, in training – a KTP must spend significant time and resources in building these types of in-house expertise. And lastly, the role of networking cannot be underestimated. As a fully-networked KTP, ZAMFOHR has benefited from the innovations of other KTPs, from funding opportunities and partnerships, and from invaluable technical support from both African and northern colleagues.

Low Emission Development Strategies: The Role of Networks and Knowledge Platforms

Energy Technology Data Exchange (ETDEWEB)

Benioff, Ron [National Renewable Energy Lab. (NREL), Golden, CO (United States); Bazilian, Morgan [National Renewable Energy Lab. (NREL), Golden, CO (United States); Cox, Sadie [National Renewable Energy Lab. (NREL), Golden, CO (United States); Uriarte, Caroline [National Renewable Energy Lab. (NREL), Golden, CO (United States); Kecman, Ana [United Nations Industrial Development Organization, Vienna (Austria); De Simone, Giuseppe [United Nations Industrial Development Organization, Vienna (Austria); Kitaoka, Kazuki [United Nations Industrial Development Organization, Vienna (Austria); Ploutakhina, Marina [United Nations Industrial Development Organization, Vienna (Austria); Radka, M. [United Nations Environment Programme, Nairobi (Kenya)

2013-09-01

Considerable effort has been made to address the transition to low-carbon economy. A key focus of these efforts has been on the development of national low-emissions developments strategies (LEDS). One enabler of these plans is the existence of well-functioning national, regional and international low-emission development networks and knowledge platforms. To better understand the role of LEDS, weexamine this area in relation to network theory. We present a review of strengths and weaknesses of existing LEDS networks that builds on the findings of a study conducted by the Coordinated Low Emission Assistance Network (CLEAN). Based on the insights from theory and a mapping of the climate-related network space, we identify opportunities for further refinement of LEDS networks.

The National Response System: The Need to Leverage Networks and Knowledge

National Research Council Canada - National Science Library

Compagnoni, Barry A

2006-01-01

.... When viewing our national response from the perspective of network theory and knowledge management, specific gaps are identified in doctrine, organizational composition and technological capability...

Community-centred Networks and Networking among Companies, Educational and Cultural Institutions and Research

DEFF Research Database (Denmark)

Konnerup, Ulla; Dirckinck-Holmfeld, Lone

2010-01-01

This article presents visions for community-centred networks and networking among companies, educational and cultural institutions and research based on blended on- and off-line collaboration and communication. Our point of departure is the general vision of networking between government, industry...... and research as formulated in the Triple Helix Model (Etzkowitz 2008). The article draws on a case study of NoEL, a network on e-learning among business, educational and cultural institutions and research, all in all 21 partners from all around Denmark. Focus is how networks and networking change character......’ in Networked Learning, Wenger et al. 2009; The analysis concerns the participation structure and how the network activities connect local work practices and research, and how technology and online communication contribute to a change from participation in offline and physical network activities into online...

Research on Evolutionary Mechanism of Agile Supply Chain Network via Complex Network Theory

Directory of Open Access Journals (Sweden)

Nai-Ru Xu

2016-01-01

Full Text Available The paper establishes the evolutionary mechanism model of agile supply chain network by means of complex network theory which can be used to describe the growth process of the agile supply chain network and analyze the complexity of the agile supply chain network. After introducing the process and the suitability of taking complex network theory into supply chain network research, the paper applies complex network theory into the agile supply chain network research, analyzes the complexity of agile supply chain network, presents the evolutionary mechanism of agile supply chain network based on complex network theory, and uses Matlab to simulate degree distribution, average path length, clustering coefficient, and node betweenness. Simulation results show that the evolution result displays the scale-free property. It lays the foundations of further research on agile supply chain network based on complex network theory.

“Thanks for sharing”—Identifying users’ roles based on knowledge contribution in Enterprise Social Networks

DEFF Research Database (Denmark)

Cetto, Alexandra; Klier, Mathias; Richter, Alexander

2018-01-01

in the network and help others to get their work done. In this paper, we propose a new methodological approach consisting of three steps, namely “message classification”, “identification of users’ roles” as well as “characterization of users’ roles”. We apply the approach to a dataset from a multinational......, are a central element of the network. In conclusion, the development and application of a new methodological approach allows us to contribute to a more refined understanding of users’ knowledge exchanging behavior in Enterprise Social Networks which can ultimately help companies to take measures to improve......While ever more companies use Enterprise Social Networks for knowledge management, there is still a lack of understanding of users’ knowledge exchanging behavior. In this context, it is important to be able to identify and characterize users who contribute and communicate their knowledge...

The Avian Knowledge Network : A partnership to organize, analyze, and visualize bird observation data for education, conservation, research, and land management

Science.gov (United States)

Marshall Iliff; Leo Salas; Ernesto Ruelas Inzunza; Grant Ballard; Denis Lepage; Steve Kelling

2009-01-01

The Avian Knowledge Network (AKN) is an international collaboration of academic, nongovernment, and government institutions with the goal of organizing observations of birds into an interoperable format to enhance access, data visualization and exploration, and scientifi c analyses. The AKN uses proven cyberinfrastructure and informatics techniques as the foundation of...

Knowledge brokering

DEFF Research Database (Denmark)

Bergenholtz, Carsten

2011-01-01

Purpose – The purpose of this paper is to examine how the spanning of inter-organizational weak ties and technological boundaries influences knowledge brokering. Design/methodology/approach – The paper is based on original fieldwork and employs a case study research design, investigating a Danish...... HTSF’s inter-organizational activities. Findings – The findings show how an inter-organizational search that crosses technological boundaries and is based on a network structure of weak ties can imply a reduced risk of unwanted knowledge spill-over. Research limitations/implications – By not engaging...... in strong tie collaborations a knowledge brokering organization can reduce the risk of unwanted knowledge spill-over. The risks and opportunities of knowledge spill-over furthermore rely on the nature of the technology involved and to what extent technological boundaries are crossed. Practical implications...

Práticas de gestão do conhecimento em grupos de pesquisa da rede Instituto Fábrica do Milênio Knowledge management practices in research groups of the factory of the millennium (IFM network

Directory of Open Access Journals (Sweden)

Karina Kühl de Lima

2008-08-01

Full Text Available Nos últimos anos houve um crescimento dos programas de pesquisa em rede, em que diferentes grupos de pesquisa reúnem competências em busca de avanços tecnológicos significativos. A gestão do conhecimento (GC é um aspecto fundamental nessas iniciativas. Este trabalho descreve as práticas de GC em grupos de pesquisa membros de uma rede de âmbito nacional, o IFM. Identifica melhores práticas e discute desafios para a sua implantação. Empregou-se o estudo de casos múltiplos, por meio de entrevistas em profundidade, aplicadas a uma amostra de grupos de pesquisa da rede. Como resultado, apresenta-se um modelo de processo de desenvolvimento de pesquisa, um modelo teórico de práticas de GC em grupos de pesquisa, a lista de melhores práticas de GC identificadas e os desafios enfrentados pelos grupos na introdução das práticas. O resultado indica o uso de poucas práticas sistematizadas e predomínio da conversão do tipo socialização (tácito-tácito. Indica, portanto, que há potencial para o desenvolvimento de metodologias e ferramentas de GC voltadas especificamente para essa classe de organizações.Recent years have seen a growth in network research programs, with different distinct research groups bringing together competencies in their search for significant technological advances. Knowledge Management (KM is an essential factor in these initiatives, but there are few studies about this theme. This paper describes KM practices in research groups of a Brazilian national research network called the Factory of the Millennium Institute (IFM. The research method adopted here was a multicase study, using interviews, applied to a sample of research groups of this network. The result was a conceptual research process development model, a theoretical model of best KM practices and barriers observed. The data confirms the importance of knowledge management practices and a focus on the aspect of socialization of knowledge conversion

Research on NGN network control technology

Science.gov (United States)

Li, WenYao; Zhou, Fang; Wu, JianXue; Li, ZhiGuang

2004-04-01

Nowadays NGN (Next Generation Network) is the hotspot for discussion and research in IT section. The NGN core technology is the network control technology. The key goal of NGN is to realize the network convergence and evolution. Referring to overlay network model core on Softswitch technology, circuit switch network and IP network convergence realized. Referring to the optical transmission network core on ASTN/ASON, service layer (i.e. IP layer) and optical transmission convergence realized. Together with the distributing feature of NGN network control technology, on NGN platform, overview of combining Softswitch and ASTN/ASON control technology, the solution whether IP should be the NGN core carrier platform attracts general attention, and this is also a QoS problem on NGN end to end. This solution produces the significant practical meaning on equipment development, network deployment, network design and optimization, especially on realizing present network smooth evolving to the NGN. This is why this paper puts forward the research topic on the NGN network control technology. This paper introduces basics on NGN network control technology, then proposes NGN network control reference model, at the same time describes a realizable network structure of NGN. Based on above, from the view of function realization, NGN network control technology is discussed and its work mechanism is analyzed.

Supervision, mentorship and peer networks: how Estonian early career researchers get (or fail to get support

Directory of Open Access Journals (Sweden)

Jaana Eigi

2018-03-01

Full Text Available The paper analyses issues related to supervision and support of early career researchers in Estonian academia. We use nine focus groups interviews conducted in 2015 with representatives of social sciences in order to identify early career researchers’ needs with respect to support, frustrations they may experience, and resources they may have for addressing them. Our crucial contribution is the identification of wider support networks of peers and colleagues that may compensate, partially or even fully, for failures of official supervision. On the basis of our analysis we argue that support for early career researchers should take into account the resources they already possess but also recognise the importance of wider academic culture, including funding and employment patterns, and the roles of supervisors and senior researchers in ensuring successful functioning of support networks. Through analysing the conditions for the development of early career researchers – producers of knowledge – our paper contributes to social epistemology understood as analysis of specific forms of social organisation of knowledge production.

An Architecture for Performance Optimization in a Collaborative Knowledge-Based Approach for  Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

Juan Ramon Velasco

2011-09-01

Full Text Available Over the past few years, Intelligent Spaces (ISs have received the attention of many Wireless Sensor Network researchers. Recently, several studies have been devoted to identify their common capacities and to set up ISs over these networks. However, little attention has been paid to integrating Fuzzy Rule-Based Systems into collaborative Wireless Sensor Networks for the purpose of implementing ISs. This work presents a distributed architecture proposal for collaborative Fuzzy Rule-Based Systems embedded in Wireless Sensor Networks, which has been designed to optimize the implementation of ISs. This architecture includes the following: (a an optimized design for the inference engine; (b a visual interface; (c a module to reduce the redundancy and complexity of the knowledge bases; (d a module to evaluate the accuracy of the new knowledge base; (e a module to adapt the format of the rules to the structure used by the inference engine; and (f a communications protocol. As a real-world application of this architecture and the proposed methodologies, we show an application to the problem of modeling two plagues of the olive tree: prays (olive moth, Prays oleae Bern. and repilo (caused by the fungus Spilocaea oleagina. The results show that the architecture presented in this paper significantly decreases the consumption of resources (memory, CPU and battery without a substantial decrease in the accuracy of the inferred values.

Exploring Practice-Research Networks for Critical Professional Learning

Science.gov (United States)

Appleby, Yvon; Hillier, Yvonne

2012-01-01

This paper discusses the contribution that practice-research networks can make to support critical professional development in the Learning and Skills sector in England. By practice-research networks we mean groups or networks which maintain a connection between research and professional practice. These networks stem from the philosophy of…

Inter-organizational networks

DEFF Research Database (Denmark)

Bergenholtz, Carsten

2012-01-01

Strong and trust-based ties are usually related to homogeneous and complex knowledge, while weak ties are associated with heterogeneous and simple knowledge. Interfirm communities have been shown to depend on trust-based ties, while also relying on getting access to heterogeneous knowledge. These...... goes beyond a mere structural approach to the organization of social networks and hence proposes a tighter integration between research on social networks and organizational design....

Discourses of knowledge across global networks: What can be learnt about knowledge leadership from the ATLAS collaboration?

CERN Document Server

Mabey, Christopher

2014-01-01

Writing on knowledge management (KM) and leadership studies tends to take place in parallel; both fields are prolific yet they rarely inform each other. A KM view tends to take a positional view of leaders and a functionalist view of firms: so it regards those with the ascription or status of leaders as pivotal, and knowledge as a commodity to be leveraged with the help of leaders to improve firm performance. But as the global reach of organizations in the knowledge-based economy become more stretched, as their operations become more networked and as their workforces become more mobile, the task of deploying and deriving value from knowledge becomes ever more challenging and calls for a qualitatively different approach which is termed knowledge leadership. In contrast to the instrumentalist approach of KM we offer some alternative discourses of knowledge and explore the implications of these for knowledge leadership. We then use interpretive discourse to examine the way knowledge activists enact and experienc...

Lymphatic Education & Research Network

Science.gov (United States)

Lymphatic Education & Research Network Donate Now Become a Supporting Member X Living with LYMPHEDEMA AND Lymphatic Disease FAQs About ... December 8, 2017 11.08.2017 The Lymphatic Education & Research Network… Read More > ASRM LE&RN Combined ...

Network Penetration Testing and Research

Science.gov (United States)

Murphy, Brandon F.

2013-01-01

This paper will focus the on research and testing done on penetrating a network for security purposes. This research will provide the IT security office new methods of attacks across and against a company's network as well as introduce them to new platforms and software that can be used to better assist with protecting against such attacks. Throughout this paper testing and research has been done on two different Linux based operating systems, for attacking and compromising a Windows based host computer. Backtrack 5 and BlackBuntu (Linux based penetration testing operating systems) are two different "attacker'' computers that will attempt to plant viruses and or NASA USRP - Internship Final Report exploits on a host Windows 7 operating system, as well as try to retrieve information from the host. On each Linux OS (Backtrack 5 and BlackBuntu) there is penetration testing software which provides the necessary tools to create exploits that can compromise a windows system as well as other operating systems. This paper will focus on two main methods of deploying exploits 1 onto a host computer in order to retrieve information from a compromised system. One method of deployment for an exploit that was tested is known as a "social engineering" exploit. This type of method requires interaction from unsuspecting user. With this user interaction, a deployed exploit may allow a malicious user to gain access to the unsuspecting user's computer as well as the network that such computer is connected to. Due to more advance security setting and antivirus protection and detection, this method is easily identified and defended against. The second method of exploit deployment is the method mainly focused upon within this paper. This method required extensive research on the best way to compromise a security enabled protected network. Once a network has been compromised, then any and all devices connected to such network has the potential to be compromised as well. With a compromised

The IAEA Technical Cooperation Programme as a Knowledge Multiplier Mechanism for Nuclear Medicine — The Case of the Nuclear Medicine Knowledge Network in Argentina

International Nuclear Information System (INIS)

Belinco, M.; Boado Montero, G.; Di Lorenzo, D.; De Rose, G.

2015-01-01

This poster aims at: – Highlighting the relevance of the conformation of a Nuclear Medicine (NM) Network; – Shedding light on the influence of the IAEA TCP on the Network; – Emphasizing on the role of women as decision-makers in NM. CNEA together with the MINPLAN led the creation of the NM Network which now assembles 20 institutions. Its main purposes are: to strengthen ties among institutions; to federalize, spread and exchange knowledge in NM; to standardise protocols; to enhance interdisciplinary work and to harmonise the levels of capacity building nationally. These goals are reached through collaboration, teaching and research activities; already being attained through training in new Centers and the expansion of NM poles throughout the country within the framework of the National Programme of NM. NM has been a strategic area of the nuclear sector in Argentina since its beginning. There are three essential milestones for this continuity and for the establishment of this Network: NM as a state policy; the institutional policy within CNEA and the permanent support and acknowledgment from the IAEA. The geographic and demographic features of Argentina call for a federal working scheme such as the one carried out by CNEA; this has been replicated in a six-decade-networking among NM institutions and enhanced by including NM in the Public Health agenda. The IAEA TCP plays a key role as a knowledge multiplier mechanism in NM by supporting the creation of networks and endorsing the CPF 2014–2021 which fosters this cooperation link. Since 1976, thanks to the TCP, 456 people were trained and over 40 projects were financed in this area. Regarding female participation in NM, no gender barriers were observed, since the main decision-makers in this field are women, who handle issues sensitively, considering the direct impact NM has on people’s daily lives. (author)

[Benefit of network education to college students' knowledge about sexual and reproductive health in Ningbo city].

Science.gov (United States)

Wang, Guo-yao; Ji, Yun-xin; Ding, Hui-qing; Gui, Zhong-bao; Liang, Xiao-ming; Fu, Jian-fei; Cheng, Yue

2015-12-01

To investigate how network education can improve college students' knowledge on sexual and reproductive health in Ningbo city. From December 2012 to June 2013, we conducted a questionnaire investigation among college students in Ningbo city about the effects of network education on their knowledge about sexual psychology, sexual physiology, sexual ethics, and reproductive health. A total of 7 362 college students accomplished the investigation, of whom 2 483 (42.1% males and 57.9% females) received network education, while the other 4 879 (24.1% males and 75.9% females) did not. Approximately 47.1% of the male and 28.0% of the female students acquired sexual and reproductive knowledge via network education. Reproductive health-related network education significantly enriched the students' knowledge about the reproductive system and sex, pubertal development, sexual physiology, conception and embryonic development, methods of contraception, sexual psychology, sexually transmitted diseases and their prevention, pregnancy care and eugenics, and environment- and occupation-related reproductive health (P college students and improve their sexual experience and health.

The Effects of Procedural Knowledge Transparency on Adoption in Corporate Social Networks

Science.gov (United States)

Jensen, Bjoern J. M.

2017-01-01

This dissertation investigated how a certain type of organizational knowledge sharing, procedural knowledge transparency, affected innovation adoption rates of members of a corporate social network within a large Scandinavian organization, in its two years of activity. It also explored the mediation of these effects by different types of…

Research in education and concepts of knowledge: the production of knowledge in question

Directory of Open Access Journals (Sweden)

Almeida, Natalia Regina

2014-04-01

Full Text Available In the field of knowledge in education, discussion about the treatment given to its definition as a field, investigative object and different possibilities theoretical-methodological, epistemological, was frequent in the last decades of the twentieth century. In this perspective, the aspects that relate to the process of construction and production of research in the field of education and knowledge of different theoretical and methodological possibilities deserve more theoretical and conceptual investment. Thus, this paper, from the literature, aims to present a brief discussion of the different conceptions of knowledge in the construction of research in the field of knowledge in education and two theoretical and methodological positions the practice of educational research. As a final consideration, the intention of this article is not to exhaust the issue in question, for there are many issues that permeate the practice of educational research.

Mapping the historical development of physical activity and health research: A structured literature review and citation network analysis.

Science.gov (United States)

Varela, Andrea Ramirez; Pratt, Michael; Harris, Jenine; Lecy, Jesse; Salvo, Deborah; Brownson, Ross C; Hallal, Pedro C

2018-06-01

Little has been published about the historical development of scientific evidence in the physical activity (PA) and public health research field. The study aimed to examine the evolution of knowledge in this field. A structured literature review using formal citation network analysis methods was conducted in June-2016. Using a list of influential PA publications identified by domain experts, a snowball sampling technique was used to build a compact citation network of 141 publications that represents the backbone of the field. Articles were coded by study type and research team characteristics, then analyzed by visualizing the citation network and identifying research clusters to trace the evolution of the field. The field started in the 1950s, with a health sciences focus and strong North American and European leadership. Health outcome studies appeared most frequently in the network and policy and interventions least. Critical articles on objective measurement and public policy have influenced the progress from an emphasis on health outcomes research at early stages in the field to the more recent emerging built environment and global monitoring foci. There is only modest cross-citation across types of study. To our knowledge, this paper is the first to systematically describe the development of research on PA and public health. The key publications include fundamental ideas that remain citable over time, but notable research and dissemination gaps exist and should be addressed. Increasing collaboration and communication between study areas, encouraging female researchers, and increasing studies on interventions, evaluation of interventions and policy are recommended. Copyright © 2017 Elsevier Inc. All rights reserved.

Reflexively exploring knowledge and power in collaborative research

DEFF Research Database (Denmark)

Nordentoft, Helle Merete; Phillips, Louise Jane; Pedersen, Christina Hee

will be designed in order to stimulate dialogue across different analytical perspectives and empirical research. The analytical perspectives on which facilitation will be based are rooted in social constructionist approaches to dialogic communication theory and action research. The challenges of collaborative...... knowledge forms, knowledge interests and wishes as to the research outcome. In official policy discourse and research practices, a positive picture is often painted of dialogue as a site for mutual learning on the basis of the different knowledge forms that the different participants bring with them...... of mutual learning. There are also tensions between processes of opening up for a plurality of knowledges and processes of closure in order to achieve strategic ends in the form of some kind of outcome. The basic premise underpinning this workshop is that we as researchers can best deal...

Research Award: Informaon and Networks

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

Corey Piccioni

2013-08-07

Aug 7, 2013 ... IDRC's Informaon and Networks (I&N) program is seeking a Research ... The growth of networked technologies has created new opportunies for ... What role do collaborave technologies (e.g., social media) play in social ...

Regional Research Networking: A Stimulus to Research Collaboration and Research Productivity.

Science.gov (United States)

McElmurry, Beverly J.; Minckley, Barbara B.

1986-01-01

Models for collegial networking as a means of increasing the participants' scholarly productivity are presented. A Midwestern historical methodology research interest group is described as an example of the long-term benefits of forming networks of scholars. (MSE)

Cooperative research and knowledge flow in the marine commons

Directory of Open Access Journals (Sweden)

Teresa R. Johnson

2009-11-01

Full Text Available Integration of fishers’ knowledge into scientific-based fisheries management is difficult due to a history of distrust between fishers and scientists and institutional constraints that limit management to only the best scientific information available. A recent response to the Northeast U.S. fisheries crisis has been to include fishers in scientific research. Cooperative research, where fishers and scientists collaborate to produce knowledge for fisheries management, aims improve the knowledge base of fisheries management and integrate fishers and their knowledge into the science policy process, which together is expected to generate broader acceptance of scientific-based management. Drawing on ethnographic research conducted in the Northeast U.S., this paper discusses the value of cooperative research as a tool for managing the commons. Specifically, it focuses on the flow of knowledge and expertise between fishers and scientists. The flow of knowledge from fishers to science involves a process of translation, where fishers’ knowledge is transformed (proven, verified, etc. into scientific knowledge. This process enables the flow of fishers’ knowledge into the science policy process. Knowledge and expertise also flow from scientists to fishers, where fishers gain understandings of the scientific research process. With this new expertise, fishers develop a greater capacity to participate in science and management discussions. The paper argues that 2-way knowledge flow between fishers and scientists, in particular flow that results in capacity building, can improve commons management through communication, translation, and conflict resolution. Finally, boundary spanners are identified as being critical to success in cooperative research.

Water hammer research in networks

Directory of Open Access Journals (Sweden)

Anželika Jurkienė

2015-10-01

Full Text Available Formation of water hammer, its consequences and possible protection measures are rarely topics, however the problem is significant. Water hammer can form in water supply and pressurized sewage networks, for various reasons. The article presents short theory of water hammer and methodology for calculation of specific parameters. Research of water hammer was performed in real water supply and sewer networks of country. Simulation of water hammer was carried out by turning on and off water pumps in pumping station. Successful measurement of water hammer depends on accuracy of the measurement equipment, therefore during the research surge wave fluctuations were measured with especially high resolution pressure meters. Detailed analysis of water hammer and selection of protecting equipment hydraulic model of water supply network was created. Protection against water hammer helps to avoid breaking of the water network and extend operation time.

Knowledge Discovery in Spectral Data by Means of Complex Networks

Directory of Open Access Journals (Sweden)

Stefano Boccaletti

2013-03-01

Full Text Available In the last decade, complex networks have widely been applied to the study of many natural and man-made systems, and to the extraction of meaningful information from the interaction structures created by genes and proteins. Nevertheless, less attention has been devoted to metabonomics, due to the lack of a natural network representation of spectral data. Here we define a technique for reconstructing networks from spectral data sets, where nodes represent spectral bins, and pairs of them are connected when their intensities follow a pattern associated with a disease. The structural analysis of the resulting network can then be used to feed standard data-mining algorithms, for instance for the classification of new (unlabeled subjects. Furthermore, we show how the structure of the network is resilient to the presence of external additive noise, and how it can be used to extract relevant knowledge about the development of the disease.

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

Developing a Knowledge Network for Applied Education Research to Mobilise Evidence in and for Educational Practice

Science.gov (United States)

Campbell, Carol; Pollock, Katina; Briscoe, Patricia; Carr-Harris, Shasta; Tuters, Stephanie

2017-01-01

Background: The importance of "evidence-informed practice" has risen dramatically in education and in other public policy areas. This article focuses on the importance of knowledge mobilisation strategies, processes and outputs. It is concerned with how these can support the adaptation and implementation of evidence from research and…

Contemporary HIV/AIDS research: Insights from knowledge management theory.

Science.gov (United States)

Callaghan, Chris William

2017-12-01

Knowledge management as a field is concerned with the management of knowledge, including the management of knowledge in research processes. Knowledge management theory has the potential to support research into problems such as HIV, antibiotic resistance and others, particularly in terms of aspects of scientific research related to the contribution of social science. To date, however, these challenges remain with us, and theoretical contributions that can complement natural science efforts to eradicate these problems are needed. This paper seeks to offer a theoretical contribution grounded in Kuhn's paradigm theory of innovation, and in the argument by Lakatos that scientific research can be fundamentally non-innovative, which suggests that social science aspects of knowledge creation may hold the key to more effective biomedical innovation. Given the consequences of ongoing and emerging global crises, and the failure of knowledge systems of scientific research to solve such problems outright, this paper provides a review of theory and literature arguing for a new paradigm in scientific research, based on the development of global systems to maximise research collaborations. A global systems approach effectively includes social science theory development as an important complement to the natural sciences research process. Arguably, information technology and social media technology have developed to the point at which solutions to knowledge aggregation challenges can enable solutions to knowledge problems on a scale hitherto unimaginable. Expert and non-expert crowdsourced inputs can enable problem-solving through exponentially increasing problem-solving inputs, using the 'crowd,' thereby increasing collaborations dramatically. It is argued that these developments herald a new era of participatory research, or a democratisation of research, which offers new hope for solving global social problems. This paper seeks to contribute to this end, and to the recognition

WORKING TOGETHER: EDUCATION, RESEARCH AND DEVELOPMENT FOR 5G NETWORKS

Directory of Open Access Journals (Sweden)

E. P. Ivanova

2015-12-01

Full Text Available In the new world of globalization of ideas and mobility difficulties in knowledge diffusion still remains. The effectiveexchange of experiences and skills in new generation networks is not guaranteed by the enormous potentialsofinternetworking systems and devices. Conceptual model for performance modeling and evaluation of multiservicenetworks has been major interest for mobile networks providers. It is essential to assess the performance ofmobile system architectures in order to identify where potential bottlenecks and data packet blocking probabilityare possible to occur. Educational platforms, new simulations opportunities represent a good opportunity to reducethe digital divide and to ensure faster and higher communication trends. Several universities and companies arecurrently involved in using educational platforms to provide better results. Conceptual model for teletrafficengineering in educational platform and applications focuses on some important aspects: tutorials, exercise,simulations, and expectation values of parameters, testing and estimation of students work. In the same time thesame model is very appropriate for simulation of network management for the new generation networks. Thiseducational platform for academics, students and researchers, puts together some of the critical aspects ofdistributed systems and their characteristics, parameters and probability of blocking.

Working with Indigenous Knowledge: A Guide for Researchers ...

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

In the 1990s, indigenous knowledge has been fertile ground for research, and ... research and will appeal to both seasoned development professional as well as ... indigenous-knowledge issues with the University of Indonesia, the Institute of ...

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.

Knowledge synthesis and the Canadian Institutes of Health Research

Directory of Open Access Journals (Sweden)

Graham Ian D

2012-02-01

Full Text Available Abstract The Canadian Institutes of Health Research (CIHR is Canada's premier health-research funding agency. We fund nearly 14,000 researchers and trainees in four theme areas: biomedical, clinical, health services, and population and public-health research. Our mandate is 'to excel according to international standards of scientific excellence, in the creation of new knowledge and its translation into improved health for Canadians, more effective health services and products and a strengthened Canadian health care system'. Knowledge synthesis is a key element of the knowledge-translation objectives of CIHR, as outlined in our definition of knowledge-translation.

Innovations in workplace accessibility and accommodation for persons with hearing loss: using social networking and community of practice theory to promote knowledge exchange and change.

Science.gov (United States)

Shaw, Lynn; Jennings, Mary Beth; Poost-Foroosh, Laya; Hodgins, Heather; Kuchar, Ashley

2013-01-01

Despite widespread availability of assistive technology and the role of occupational therapists and audiologists in workplace health, little is known about how these groups influence the health of workers with hearing loss. Based on a previously conducted study, this paper explores the need for networking and community of practice theory to promote knowledge sharing and use between occupational therapists, audiologists, educators, regulators, workers, and employers. Five occupational therapists and five audiologists participated in in-depth interviews. Grounded theory was used to investigate the processes that hinder or support these professionals in addressing the accommodation needs of and workplace accessibility for workers with hearing loss. Constraints to addressing the needs of workers with hearing loss included: lack of knowledge about professional practice processes, lack of networking, lack of knowledge on current research, and lack of knowledge on the realm of expertise of audiologists by occupational therapists and of occupational therapists by audiologists. Innovations in workplace practice in hearing loss require engagement of occupational therapists, audiologists, and employers in knowledge transfer, networking, and learning. This column introduces two theories that may guide the use and development of evidence, knowledge, and expertise toward innovations in hearing work practice.

Understanding Knowledge Network, Learning and Connectivism

Science.gov (United States)

AlDahdouh, Alaa A.; Osório, António J.; Caires, Susana

2015-01-01

Behaviorism, Cognitivism, Constructivism and other growing theories such as Actor-Network and Connectivism are circulating in the educational field. For each, there are allies who stand behind research evidence and consistency of observation. Meantime, those existing theories dominate the field until the background is changed or new concrete…

Knowledge represented using RDF semantic network in the concept of semantic web

Energy Technology Data Exchange (ETDEWEB)

Lukasova, A., E-mail: alena.lukasova@osu.cz; Vajgl, M., E-mail: marek.vajgl@osu.cz; Zacek, M., E-mail: martin.zacek@osu.cz [Department of Informatics and Computers, Faculty of Science, University of Ostrava 30. dubna 22, 701 03 Ostrava, Czech Republic http://prf.osu.eu/kip/ (Czech Republic)

2016-06-08

The RDF(S) model has been declared as the basic model to capture knowledge of the semantic web. It provides a common and flexible way to decompose composed knowledge to elementary statements, which can be represented by RDF triples or by RDF graph vectors. From the logical point of view, elements of knowledge can be expressed using at most binary predicates, which can be converted to RDF-triples or graph vectors. However, it is not able to capture implicit knowledge representable by logical formulas. This contribution shows how existing approaches (semantic networks and clausal form logic) can be combined together with RDF to obtain RDF-compatible system with ability to represent implicit knowledge and inference over knowledge base.

Knowledge represented using RDF semantic network in the concept of semantic web

International Nuclear Information System (INIS)

Lukasova, A.; Vajgl, M.; Zacek, M.

2016-01-01

The RDF(S) model has been declared as the basic model to capture knowledge of the semantic web. It provides a common and flexible way to decompose composed knowledge to elementary statements, which can be represented by RDF triples or by RDF graph vectors. From the logical point of view, elements of knowledge can be expressed using at most binary predicates, which can be converted to RDF-triples or graph vectors. However, it is not able to capture implicit knowledge representable by logical formulas. This contribution shows how existing approaches (semantic networks and clausal form logic) can be combined together with RDF to obtain RDF-compatible system with ability to represent implicit knowledge and inference over knowledge base.

Knowledge Exchange and Management Research: Barriers and Potentials

DEFF Research Database (Denmark)

Bager, Torben

2018-01-01

Purpose: The growing involvement of management researchers in knowledge exchange activities and collaborative research does not seem to be reflected in a growing academic output. The purpose of this paper is to explore barriers for academic output from these activities as well as the potential...... for ‘interesting’ papers. Design/methodology/approach: The paper uses secondary data and statistics as well as an illustrative case study to trace knowledge exchange activities and barriers for academic output based on these activities. Findings: The paper identifies a number of barriers for the turning of data...... derived from knowledge exchange activities and Mode 2 research into academic papers such as low priority of case study research in leading management journals, a growing practice orientation in the research funding systems, methodological challenges due to limited researcher control, and disincentives...

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.

EurOOHnet-the European research network for out-of-hours primary health care.

Science.gov (United States)

Huibers, Linda; Philips, Hilde; Giesen, Paul; Remmen, Roy; Christensen, Morten Bondo; Bondevik, Gunnar Tschudi

2014-09-01

European countries face similar challenges in the provision of health care. Demographic factors like ageing, population growth, changing patient behaviour, and lack of work force lead to increasing demands, costs, and overcrowding of out-of-hours (OOH) care (i.e. primary care services, emergency departments (EDs), and ambulance services). These developments strain services and imply safety risks. In the last few decades, countries have been re-organizing their OOH primary health care services. AIM AND SCOPE OF THE NETWORK: We established a European research network for out-of-hours primary health care (EurOOHnet), which aims to transfer knowledge, share experiences, and conduct research. Combining research competencies and integrating results can generate a profound information flow to European researchers and decision makers in health policy, contributing towards feasible and high-quality OOH care. It also contributes to a more comparable performance level within European regions. CONDUCTED RESEARCH PROJECTS: The European research network aims to conduct mutual research projects. At present, three projects have been accomplished, among others concerning the diagnostic scope in OOH primary care services and guideline adherence for diagnosis and treatment of cystitis in OOH primary care. Future areas of research will be organizational models for OOH care; appropriate use of the OOH services; quality of telephone triage; quality of medical care; patient safety issues; use of auxiliary personnel; collaboration with EDs and ambulance care; and the role of GPs in OOH care.

Profession based research through Action research. Framing knowledge production in an interdisciplinary perspective

DEFF Research Database (Denmark)

Tofteng, Ditte Maria Børglum; Bladt, Mette; Husted, Mia

to work on tendencies to privilege some types of knowledge above others when it comes to knowledge production and research processes. The participatory worldview mandates action researchers to consider participants as a collaborative resource and agents of cyclical transformation who bring to the table...... practical knowledge and experience about situations while the recurring pattern of reflection, analysis and action contributes to the constant evolution and redefinition of the original goal. Methodology, Methods, Research Instruments or Sources Used This paper is a theoretical reflection on actions...... will be an reflection on action research and participatory research processes as an asvwer to developing a vocational research practice that goes beyond quantitative an qualitative methodologies and into to research as an research and development process. References Bladt, M. (2012): Frirum og værksteder I Duus m...

Innovative research of AD HOC network mobility model

Science.gov (United States)

Chen, Xin

2017-08-01

It is difficult for researchers of AD HOC network to conduct actual deployment during experimental stage as the network topology is changeable and location of nodes is unfixed. Thus simulation still remains the main research method of the network. Mobility model is an important component of AD HOC network simulation. It is used to describe the movement pattern of nodes in AD HOC network (including location and velocity, etc.) and decides the movement trail of nodes, playing as the abstraction of the movement modes of nodes. Therefore, mobility model which simulates node movement is an important foundation for simulation research. In AD HOC network research, mobility model shall reflect the movement law of nodes as truly as possible. In this paper, node generally refers to the wireless equipment people carry. The main research contents include how nodes avoid obstacles during movement process and the impacts of obstacles on the mutual relation among nodes, based on which a Node Self Avoiding Obstacle, i.e. NASO model is established in AD HOC network.

Study on Knowledge Propagation in Complex Networks Based on Preferences, Taking Wechat as Example

OpenAIRE

Chen, Si-hua; He, Wei

2014-01-01

As platform based on users’ relationship to acquire, share, and propagate knowledge, Wechat develops very rapidly and becomes an important channel to spread knowledge. This new way to propagate knowledge is quite different from the traditional media way which enables knowledge to be spread surprisingly in Wechat. Based on complex network theory and the analysis of the factors which influence the knowledge propagation in Wechat, this paper summarizes the behavior preferences of Wechat users in...

It Matters Who You Are: Indigenous Knowledge Research and Researchers

Science.gov (United States)

Keane, Moyra; Khupe, Constance; Muza, Blessings

2016-01-01

It is common for researchers in Indigenous Knowledge (IK) in science education research to draw on aspects of the scientific paradigm from their science training. The consequent research seeks to be objective. This paradigm is not necessarily appropriate for IK research. While there have been calls for IK-aligned methodologies (Chilisa 2012; Keane…

Targeting molecular networks for drug research

Directory of Open Access Journals (Sweden)

José Pedro Pinto

2014-06-01

Full Text Available The study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks. This is especially true for human diseases, which can be regarded as manifestations of distorted states of molecular networks. Of the possible interventions for altering networks, the use of drugs is presently the most feasible. In this mini-review, we present and discuss some exemplary approaches of how analysis of molecular interaction networks can contribute to pharmacology (e.g., by identifying new drug targets or prediction of drug side effects, as well as listing pointers to relevant resources and software to guide future research. We also outline recent progress in the use of drugs for in vitro reprogramming of cells, which constitutes an example par excellence for altering molecular interaction networks with drugs.

Design Research: Aesthetic Epistemology and Explanatory Knowledge

Directory of Open Access Journals (Sweden)

Peter Murphy

Full Text Available The article explores the “what” and the “how” of design research. It discusses the epistemological assumptions of design and design research—the conception of true knowledge that underpins the quest to advance design knowledge through research. The article also examines the media and methods of doing design research—that is, the “how” of such research. As it developed over the past century, the design field has drawn extensively on three pivotal but often tacitly deployed epistemologies: the Platonic-Aristotelian, the pragmatic, and the postmodern. Platonic epistemology is latent in many commonplace design instruction texts. Pragmatic epistemology underscores the industrial-arts ethos of design. Postmodern epistemologies dominate in university programs—especially graduate and Ph.D. programs. The article considers how these competing epistemologies understand the role of imagination in the act of creation. The article then considers the role of explanation in the carrying out of research in creative design and arts fields. It addresses whether, and to what degree, design research ought to rely on explanatory words as its principal medium of research, or whether it is valid to substitute artifactual creation for intellectual explanation in the research process. Key words: Epistemology, Design, Imagination, Knowledge, Explanation, Practice-based research

Research Award: Information and Networks

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

IDRC CRDI

... of networked technologies has created new opportunities for advancing human ... The I&N Research Awardee will ideally explore research questions centred ... Examples of questions include: ... engineering or computer/information science;.

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.

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.

Application Architecture of Avian Influenza Research Collaboration Network in Korea e-Science

Science.gov (United States)

Choi, Hoon; Lee, Junehawk

In the pursuit of globalization of the AI e-Science environment, KISTI is fostering to extend the AI research community to the AI research institutes of neighboring countries and to share the AI e-Science environment with them in the near future. In this paper we introduce the application architecture of AI research collaboration network (AIRCoN). AIRCoN is a global e-Science environment for AI research conducted by KISTI. It consists of AI virus sequence information sharing system for sufficing data requirement of research community, integrated analysis environment for analyzing the mutation pattern of AI viruses and their risks, epidemic modeling and simulation environment for establishing national effective readiness strategy against AI pandemics, and knowledge portal for sharing expertise of epidemic study and unpublished research results with community members.

Patent citation network in nanotechnology (1976-2004)

International Nuclear Information System (INIS)

Li Xin; Chen Hsinchun; Huang Zan; Roco, Mihail C.

2007-01-01

The patent citation networks are described using critical node, core network, and network topological analysis. The main objective is understanding of the knowledge transfer processes between technical fields, institutions and countries. This includes identifying key influential players and subfields, the knowledge transfer patterns among them, and the overall knowledge transfer efficiency. The proposed framework is applied to the field of nanoscale science and engineering (NSE), including the citation networks of patent documents, submitting institutions, technology fields, and countries. The NSE patents were identified by keywords 'full-text' searching of patents at the United States Patent and Trademark Office (USPTO). The analysis shows that the United States is the most important citation center in NSE research. The institution citation network illustrates a more efficient knowledge transfer between institutions than a random network. The country citation network displays a knowledge transfer capability as efficient as a random network. The technology field citation network and the patent document citation network exhibit a less efficient knowledge diffusion capability than a random network. All four citation networks show a tendency to form local citation clusters

Knowledge of the Nigerian Code of Health Research Ethics Among Biomedical Researchers in Southern Nigeria.

Science.gov (United States)

Ogunrin, Olubunmi A; Daniel, Folasade; Ansa, Victor

2016-12-01

Responsibility for protection of research participants from harm and exploitation rests on Research Ethics Committees and principal investigators. The Nigerian National Code of Health Research Ethics defines responsibilities of stakeholders in research so its knowledge among researchers will likely aid ethical conduct of research. The levels of awareness and knowledge of the Code among biomedical researchers in southern Nigerian research institutions was assessed. Four institutions were selected using a stratified random sampling technique. Research participants were selected by purposive sampling and completed a pre-tested structured questionnaire. A total of 102 biomedical researchers completed the questionnaires. Thirty percent of the participants were aware of the National Code though 64% had attended at least one training seminar in research ethics. Twenty-five percent had a fairly acceptable knowledge (scores 50%-74%) and 10% had excellent knowledge of the code (score ≥75%). Ninety-five percent expressed intentions to learn more about the National Code and agreed that it is highly relevant to the ethical conduct of research. Awareness and knowledge of the Code were found to be very limited among biomedical researchers in southern Nigeria. There is need to improve awareness and knowledge through ethics seminars and training. Use of existing Nigeria-specific online training resources is also encouraged.

A research on the application of software defined networking in satellite network architecture

Science.gov (United States)

Song, Huan; Chen, Jinqiang; Cao, Suzhi; Cui, Dandan; Li, Tong; Su, Yuxing

2017-10-01

Software defined network is a new type of network architecture, which decouples control plane and data plane of traditional network, has the feature of flexible configurations and is a direction of the next generation terrestrial Internet development. Satellite network is an important part of the space-ground integrated information network, while the traditional satellite network has the disadvantages of difficult network topology maintenance and slow configuration. The application of SDN technology in satellite network can solve these problems that traditional satellite network faces. At present, the research on the application of SDN technology in satellite network is still in the stage of preliminary study. In this paper, we start with introducing the SDN technology and satellite network architecture. Then we mainly introduce software defined satellite network architecture, as well as the comparison of different software defined satellite network architecture and satellite network virtualization. Finally, the present research status and development trend of SDN technology in satellite network are analyzed.

The Role of Integrated Knowledge Translation in Intervention Research.

Science.gov (United States)

Wathen, C Nadine; MacMillan, Harriet L

2018-04-01

There is widespread recognition across the full range of applied research disciplines, including health and social services, about the challenges of integrating scientifically derived research evidence into policy and/or practice decisions. These "disconnects" or "knowledge-practice gaps" between research production and use have spawned a new research field, most commonly known as either "implementation science" or "knowledge translation." The present paper will review key concepts in this area, with a particular focus on "integrated knowledge translation" (IKT)-which focuses on researcher-knowledge user partnership-in the area of mental health and prevention of violence against women and children using case examples from completed and ongoing work. A key distinction is made between the practice of KT (disseminating, communicating, etc.), and the science of KT, i.e., research regarding effective KT approaches. We conclude with a discussion of the relevance of IKT for mental health intervention research with children and adolescents.

Possibilistic networks for uncertainty knowledge processing in student diagnosis

Directory of Open Access Journals (Sweden)

Adina COCU

2006-12-01

Full Text Available In this paper, a possibilistic network implementation for uncertain knowledge modeling of the diagnostic process is proposed as a means to achieve student diagnosis in intelligent tutoring system. This approach is proposed in the object oriented programming domain for diagnosis of students learning errors and misconception. In this expertise domain dependencies between data exist that are encoded in the structure of network. Also, it is available qualitative information about these data which are represented and interpreted with qualitative approach of possibility theory. The aim of student diagnosis system is to ensure an adapted support for the student and to sustain the student in personalized learning process and errors explanation.

Social network analysis of multi-stakeholder platforms in agricultural research for development: Opportunities and constraints for innovation and scaling.

Science.gov (United States)

Hermans, Frans; Sartas, Murat; van Schagen, Boudy; van Asten, Piet; Schut, Marc

2017-01-01

Multi-stakeholder platforms (MSPs) are seen as a promising vehicle to achieve agricultural development impacts. By increasing collaboration, exchange of knowledge and influence mediation among farmers, researchers and other stakeholders, MSPs supposedly enhance their 'capacity to innovate' and contribute to the 'scaling of innovations'. The objective of this paper is to explore the capacity to innovate and scaling potential of three MSPs in Burundi, Rwanda and the South Kivu province located in the eastern part of Democratic Republic of Congo (DRC). In order to do this, we apply Social Network Analysis and Exponential Random Graph Modelling (ERGM) to investigate the structural properties of the collaborative, knowledge exchange and influence networks of these MSPs and compared them against value propositions derived from the innovation network literature. Results demonstrate a number of mismatches between collaboration, knowledge exchange and influence networks for effective innovation and scaling processes in all three countries: NGOs and private sector are respectively over- and under-represented in the MSP networks. Linkages between local and higher levels are weak, and influential organisations (e.g., high-level government actors) are often not part of the MSP or are not actively linked to by other organisations. Organisations with a central position in the knowledge network are more sought out for collaboration. The scaling of innovations is primarily between the same type of organisations across different administrative levels, but not between different types of organisations. The results illustrate the potential of Social Network Analysis and ERGMs to identify the strengths and limitations of MSPs in terms of achieving development impacts.

Social network analysis of multi-stakeholder platforms in agricultural research for development: Opportunities and constraints for innovation and scaling.

Directory of Open Access Journals (Sweden)

Frans Hermans

Full Text Available Multi-stakeholder platforms (MSPs are seen as a promising vehicle to achieve agricultural development impacts. By increasing collaboration, exchange of knowledge and influence mediation among farmers, researchers and other stakeholders, MSPs supposedly enhance their 'capacity to innovate' and contribute to the 'scaling of innovations'. The objective of this paper is to explore the capacity to innovate and scaling potential of three MSPs in Burundi, Rwanda and the South Kivu province located in the eastern part of Democratic Republic of Congo (DRC. In order to do this, we apply Social Network Analysis and Exponential Random Graph Modelling (ERGM to investigate the structural properties of the collaborative, knowledge exchange and influence networks of these MSPs and compared them against value propositions derived from the innovation network literature. Results demonstrate a number of mismatches between collaboration, knowledge exchange and influence networks for effective innovation and scaling processes in all three countries: NGOs and private sector are respectively over- and under-represented in the MSP networks. Linkages between local and higher levels are weak, and influential organisations (e.g., high-level government actors are often not part of the MSP or are not actively linked to by other organisations. Organisations with a central position in the knowledge network are more sought out for collaboration. The scaling of innovations is primarily between the same type of organisations across different administrative levels, but not between different types of organisations. The results illustrate the potential of Social Network Analysis and ERGMs to identify the strengths and limitations of MSPs in terms of achieving development impacts.

Enhancing continental-scale understanding of agriculture: Integrating the National Ecological Observatory Network (NEON) with existing research networks to address global change.

Science.gov (United States)

Kelly, G.

2015-12-01

Over the past decade, there has been a resurgence of interest in the sustainability of the world's food system and its contributions to feeding the world's population as well as to ensuring environmental sustainability of the planet. The elements of this grand challenge are by now well known. Analysis of agricultural sustainability is made more challenging by the fact that the local responses to these global drivers of change are extremely variable in space and time due to the biophysical and geopolitical heterogeneity across the United States, and the world. Utilizing research networks allows the scientific community to leverage existing knowledge, models and data to develop a framework for understanding the interplay between global change drivers, regional, and continental sustainability of US agriculture. For example, well-established instrumented and calibrated research networks will allow for the examination of the potential tradeoffs between: 1) crop production, 2) land use and carbon emissions and sequestration, 3) groundwater depletion, and 4) nitrogen dynamics. NEON represents a major investment in scientific infrastructure in support of ecological research at a continental scale and is intended to address multiple ecological grand challenges. NEON will collect data from automated sensors and sample organisms and ecological variables in 20 eco-climatic domains. We will provide examples of how NEON's full potential can be realized when these data are combined with long term experimental results and other sensor networks [e.g., Ameriflux, Fluxnet, the Long-term Ecological Research Program (LTER), the Long-term Agroecosystem Research Network (LTAR)], Critical Zone Observatory (CZO).

"Actually, I Wanted to Learn": Study-Related Knowledge Exchange on Social Networking Sites

Science.gov (United States)

Wodzicki, Katrin; Schwammlein, Eva; Moskaliuk, Johannes

2012-01-01

Social media open up multiple options to add a new dimension to learning and knowledge processes. Particularly, social networking sites allow students to connect formal and informal learning settings. Students can find like-minded people and organize informal knowledge exchange for educational purposes. However, little is known about in which way…

[Integration of sex/gender into environmental health research. Results of the interdisciplinary research network Sex/Gender-Environment-Health (GeUmGe-NET)].

Science.gov (United States)

Bolte, Gabriele; David, Madlen; Dębiak, Małgorzata; Fiedel, Lotta; Hornberg, Claudia; Kolossa-Gehring, Marike; Kraus, Ute; Lätzsch, Rebecca; Paeck, Tatjana; Palm, Kerstin; Schneider, Alexandra

2018-06-01

The comprehensive consideration of sex/gender in health research is essential to increase relevance and validity of research results. Contrary to other areas of health research, there is no systematic summary of the current state of research on the significance of sex/gender in environmental health. Within the interdisciplinary research network Sex/Gender-Environment-Health (GeUmGe-NET) the current state of integration of sex/gender aspects or, respectively, gender theoretical concepts into research was systematically assessed within selected topics of the research areas environmental toxicology, environmental medicine, environmental epidemiology and public health research on environment and health. Knowledge gaps and research needs were identified in all research areas. Furthermore, the potential for methodological advancements by using gender theoretical concepts was depicted. A dialogue between biomedical research, public health research, and gender studies was started with the research network GeUmGe-NET. This dialogue has to be continued particularly regarding a common testing of methodological innovations in data collection and data analysis. Insights of this interdisciplinary research are relevant for practice areas such as environmental health protection, health promotion, environmental justice, and environmental health monitoring.

Solar Energy Innovation Network | Solar Research | NREL

Science.gov (United States)

Energy Innovation Network Solar Energy Innovation Network The Solar Energy Innovation Network grid. Text version The Solar Energy Innovation Network is a collaborative research effort administered (DOE) Solar Energy Technologies Office to develop and demonstrate new ways for solar energy to improve

Epidemiologic research topics in Germany: a keyword network analysis of 2014 DGEpi conference presentations.

Science.gov (United States)

Peter, Raphael Simon; Brehme, Torben; Völzke, Henry; Muche, Rainer; Rothenbacher, Dietrich; Büchele, Gisela

2016-06-01

Knowledge of epidemiologic research topics as well as trends is useful for scientific societies, researchers and funding agencies. In recent years researchers recognized the usefulness of keyword network analysis for visualizing and analyzing scientific research topics. Therefore, we applied keyword network analysis to present an overview of current epidemiologic research topics in Germany. Accepted submissions to the 9th annual congress of the German Society for Epidemiology (DGEpi) in 2014 were used as data source. Submitters had to choose one of 19 subject areas, and were ask to provide a title, structured abstract, names of authors along with their affiliations, and a list of freely selectable keywords. Keywords had been provided for 262 (82 %) submissions, 1030 keywords in total. Overall the most common keywords were: "migration" (18 times), "prevention" (15 times), followed by "children", "cohort study", "physical activity", and "secondary data analysis" (11 times each). Some keywords showed a certain concentration under one specific subject area, e.g. "migration" with 8 of 18 in social epidemiology or "breast cancer" with 4 of 7 in cancer epidemiology. While others like "physical activity" were equally distributed over multiple subject areas (cardiovascular & metabolic diseases, ageing, methods, paediatrics, prevention & health service research). This keyword network analysis demonstrated the high diversity of epidemiologic research topics with a large number of distinct keywords as presented at the annual conference of the DGEpi.

Theoretical Framework of Researcher Knowledge Development in Mathematics Education

Science.gov (United States)

Kontorovich, Igor'

2016-01-01

The goal of this paper is to present a framework of researcher knowledge development in conducting a study in mathematics education. The key components of the framework are: knowledge germane to conducting a particular study, processes of knowledge accumulation, and catalyzing filters that influence a researcher's decision making. The components…

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...

Knowledge Creation Through Mobile Social Networks and Its Impact on Intentions to Use Innovative Mobile Services

NARCIS (Netherlands)

Kleijnen, M.H.P.; Lievens, A.; de Ruyter, K.; Wetzels, M.G.M.

2009-01-01

Taking a social network perspective, the authors investigate consumers' intentions to use innovative mobile services. With a sociometric survey, they empirically assess how consumers integrate and connect through mobile social networks, as well as how their network position influences knowledge

The Nordic Health Promotion Research Network (NHPRN).

Science.gov (United States)

Ringsberg, Karin C

2015-08-01

The Nordic Health Promotion Research Network (NHPRN) was established in 2007 at the Nordic School of Public Health (NHV). This article aims to describe the foundation of the NHPRN, the development and the present status of the work of NHPRN. The NHPRN consists of about 50 senior and junior researchers from all Nordic countries. It is a working network that aims to develop the theoretical understanding of health promotion, to create research cooperation in health promotion from a Nordic perspective and to extend the scope of health promotion through education. Network members meet biannually to discuss and further develop research within the field and are also responsible for the Nordic conference on Health Promotion, organized every 3 years. The NHV hosted the network between 2007 and 2014; and the World Health Organisation (WHO) will assume this role in 2015. © 2015 the Nordic Societies of Public Health.

Stimulating ‘hot technologies’ : interorganizational networks in Dutch ceramic research

NARCIS (Netherlands)

Groenewegen, Peter

1992-01-01

The role of interorganizational R&D networks between firms and universities in knowledge transfer of advanced technologies is analyzed. The starting assumption (coinciding with reasons of government bodies to support technological cooperation) is that a national knowledge and technology system

Collaborative Research Partnerships for Knowledge Mobilisation

Science.gov (United States)

Edelstein, Hilary

2016-01-01

This study examines elements of collaborative research partnerships (CRPs) between university researchers and organisations who engage in knowledge mobilisation activities in education. The study uses key informant interviews and document analysis from one type of partnership, and a survey of university-community partnerships across Canada to…

Modeling management of research and education networks

NARCIS (Netherlands)

Galagan, D.V.

2004-01-01

Computer networks and their services have become an essential part of research and education. Nowadays every modern R&E institution must have a computer network and provide network services to its students and staff. In addition to its internal computer network, every R&E institution must have a

Knowledge-guided golf course detection using a convolutional neural network fine-tuned on temporally augmented data

Science.gov (United States)

Chen, Jingbo; Wang, Chengyi; Yue, Anzhi; Chen, Jiansheng; He, Dongxu; Zhang, Xiuyan

2017-10-01

The tremendous success of deep learning models such as convolutional neural networks (CNNs) in computer vision provides a method for similar problems in the field of remote sensing. Although research on repurposing pretrained CNN to remote sensing tasks is emerging, the scarcity of labeled samples and the complexity of remote sensing imagery still pose challenges. We developed a knowledge-guided golf course detection approach using a CNN fine-tuned on temporally augmented data. The proposed approach is a combination of knowledge-driven region proposal, data-driven detection based on CNN, and knowledge-driven postprocessing. To confront data complexity, knowledge-derived cooccurrence, composition, and area-based rules are applied sequentially to propose candidate golf regions. To confront sample scarcity, we employed data augmentation in the temporal domain, which extracts samples from multitemporal images. The augmented samples were then used to fine-tune a pretrained CNN for golf detection. Finally, commission error was further suppressed by postprocessing. Experiments conducted on GF-1 imagery prove the effectiveness of the proposed approach.

Qualitative Research and the Legitimization of Knowledge.

Science.gov (United States)

Atkinson, Brent; And Others

1991-01-01

Expresses concerns about importing qualitative research methods from education to family therapy. Argues that qualitative researchers cannot establish the trustworthiness of their findings, regardless of the methods they use. Further contends that the legitimacy of research knowledge cannot be determined by researchers, but rather requires the…

Community pharmacist participation in a practice-based research network: a report from the Medication Safety Research Network of Indiana (Rx-SafeNet).

Science.gov (United States)

Patel, Puja; Hemmeger, Heather; Kozak, Mary Ann; Gernant, Stephanie A; Snyder, Margie E

2015-01-01

To describe the experiences and opinions of pharmacists serving as site coordinators for the Medication Safety Research Network of Indiana (Rx-SafeNet). Retail chain, independent, and hospital/health system outpatient community pharmacies throughout Indiana, with a total of 127 pharmacy members represented by 26 site coordinators. Rx-SafeNet, a statewide practice-based research network (PBRN) formed in 2010 and administered by the Purdue University College of Pharmacy. Barriers and facilitators to participation in available research studies, confidence participating in research, and satisfaction with overall network communication. 22 of 26 site coordinators participated, resulting in an 85% response rate. Most (72.2%) of the respondents had received a doctor of pharmacy degree, and 13.6% had postgraduate year (PGY)1 residency training. The highest reported benefits of PBRN membership were an enhanced relationship with the Purdue University College of Pharmacy (81% agreed or strongly agreed) and enhanced professional development (80% agreed or strongly agreed). Time constraints were identified as the greatest potential barrier to network participation, reported by 62% of respondents. In addition, the majority (59%) of survey respondents identified no prior research experience. Last, respondents' confidence in performing research appeared to increase substantially after becoming network members, with 43% reporting a lack of confidence in engaging in research before joining the network compared with 90% reporting confidence after joining the network. In general, Rx-SafeNet site coordinators appeared to experience increased confidence in research engagement after joining the network. While respondents identified a number of benefits associated with network participation, concerns about potential time constraints remained a key barrier to participation. These findings will assist network leadership in identifying opportunities to positively increase member participation

An integrated framework of knowledge transfer and ICT issues in co-creation value networks

NARCIS (Netherlands)

Bagheri, S.; Kusters, R.J.; Trienekens, J.J.M.; Varajão, J.E.Q.; Cruz-Cunha, M.M.; Martinho, R.; Rijo, R.; Bjørn-Andersen, N.; Turner, R.; Alves, D.

2016-01-01

In dynamic value networks (VNs), knowledge serves as a basis for close collaboration of actors (i.e. firms with their partners and customers) to enhance co-creation of integrated solutions. In order to provide a technical foundation for seamless knowledge transfer among actors, VNs require

Scottish Stroke Research Network: the first three years.

Science.gov (United States)

McCormick, K; Langhorne, P; Graham, F E J; McFarlane, C

2010-08-01

Research networks were introduced in the UK to facilitate and improve clinical research and stroke was seen as a priority topic for local research network development. The Scottish Stroke Research Network (SSRN) is one of 11 stroke research networks in the UK. In this article we review the progress of the Scottish Stroke Research Network in the three years since inception. Between 2006-2009 the number of active hospital research sites has increased from 10 to 22 expanding to involve 20 stroke research nurses. There was a corresponding 58% increase in recruitment of participants into stroke studies, from 376 in 2006/07 to 594 in 2008/09. The majority (17/20) of our current studies are interventional. Data from one of these, the CLOTs trial (Clots in Legs Or sTocking after Stroke), demonstrates that the annual recruitment in Scotland increased from a median of 94 (range 6-122) patients per year in the six years before the SSRN, to 140 (135-158) patients per year after SSRN involvement. We currently screen about 50% of Scottish stroke patients and approximately 5% of Scottish stroke patients are participating in research studies that we support. The SSRN has made good progress in the first three years. Increasing the recruitment of screened patients remains a challenge.

The Knowledge-Integrated Network Biomarkers Discovery for Major Adverse Cardiac Events

Science.gov (United States)

Jin, Guangxu; Zhou, Xiaobo; Wang, Honghui; Zhao, Hong; Cui, Kemi; Zhang, Xiang-Sun; Chen, Luonan; Hazen, Stanley L.; Li, King; Wong, Stephen T. C.

2010-01-01

The mass spectrometry (MS) technology in clinical proteomics is very promising for discovery of new biomarkers for diseases management. To overcome the obstacles of data noises in MS analysis, we proposed a new approach of knowledge-integrated biomarker discovery using data from Major Adverse Cardiac Events (MACE) patients. We first built up a cardiovascular-related network based on protein information coming from protein annotations in Uniprot, protein–protein interaction (PPI), and signal transduction database. Distinct from the previous machine learning methods in MS data processing, we then used statistical methods to discover biomarkers in cardiovascular-related network. Through the tradeoff between known protein information and data noises in mass spectrometry data, we finally could firmly identify those high-confident biomarkers. Most importantly, aided by protein–protein interaction network, that is, cardiovascular-related network, we proposed a new type of biomarkers, that is, network biomarkers, composed of a set of proteins and the interactions among them. The candidate network biomarkers can classify the two groups of patients more accurately than current single ones without consideration of biological molecular interaction. PMID:18665624

Trauma hemostasis and oxygenation research position paper on remote damage control resuscitation: definitions, current practice, and knowledge gaps.

Science.gov (United States)

Jenkins, Donald H; Rappold, Joseph F; Badloe, John F; Berséus, Olle; Blackbourne, Lorne; Brohi, Karim H; Butler, Frank K; Cap, Andrew P; Cohen, Mitchell Jay; Davenport, Ross; DePasquale, Marc; Doughty, Heidi; Glassberg, Elon; Hervig, Tor; Hooper, Timothy J; Kozar, Rosemary; Maegele, Marc; Moore, Ernest E; Murdock, Alan; Ness, Paul M; Pati, Shibani; Rasmussen, Todd; Sailliol, Anne; Schreiber, Martin A; Sunde, Geir Arne; van de Watering, Leo M G; Ward, Kevin R; Weiskopf, Richard B; White, Nathan J; Strandenes, Geir; Spinella, Philip C

2014-05-01

The Trauma Hemostasis and Oxygenation Research Network held its third annual Remote Damage Control Resuscitation Symposium in June 2013 in Bergen, Norway. The Trauma Hemostasis and Oxygenation Research Network is a multidisciplinary group of investigators with a common interest in improving outcomes and safety in patients with severe traumatic injury. The network's mission is to reduce the risk of morbidity and mortality from traumatic hemorrhagic shock, in the prehospital phase of resuscitation through research, education, and training. The concept of remote damage control resuscitation is in its infancy, and there is a significant amount of work that needs to be done to improve outcomes for patients with life-threatening bleeding secondary to injury. The prehospital phase of resuscitation is critical in these patients. If shock and coagulopathy can be rapidly identified and minimized before hospital admission, this will very likely reduce morbidity and mortality. This position statement begins to standardize the terms used, provides an acceptable range of therapeutic options, and identifies the major knowledge gaps in the field.

Chain and network science: A research framework

NARCIS (Netherlands)

Omta, S.W.F.; Trienekens, J.H.; Beers, G.

2001-01-01

In this first article of the Journal on Chain and Network Science the base-line is set for a discussion on contents and scope of chain and network theory. Chain and network research is clustered into four main ‘streams’: Network theory, social capital theory, supply chain management and business

Stories in Networks and Networks in Stories: A Tri-Modal Model for Mixed-Methods Social Network Research on Teachers

Science.gov (United States)

Baker-Doyle, Kira J.

2015-01-01

Social network research on teachers and schools has risen exponentially in recent years as an innovative method to reveal the role of social networks in education. However, scholars are still exploring ways to incorporate traditional quantitative methods of Social Network Analysis (SNA) with qualitative approaches to social network research. This…

Network analysis to support research management: evidence from the Fiocruz Observatory in Science, Technology and Innovation in Health

Energy Technology Data Exchange (ETDEWEB)

Fonseca, B.; Sampaio, R.B.; Silva, M.V.; Dos Santos, P.X.

2016-07-01

Brazil has been encouraging the establishment of research networks to address strategic health issues in response to social demands, creating an urgent need to develop indicators for their evaluation. The Oswaldo Cruz Foundation (Fiocruz), a national research, training and production institution, has initiated the development of an “Observatory in Science, Technology and Innovation in Health” to monitor and evaluate research and technological development for the formulation of institutional policies. In this context, we are proposing the use of social network analysis to map cooperation in strategic areas of research, identify prominent researchers and support internal research networks. In this preliminary study, coauthorship analysis was used to map the cooperative relations of Fiocruz in tuberculosis (TB) research, an important public health issue for which diagnosis and adequate treatment are still challenging. Our findings suggest that Brazilian research organizations acting in TB research are embedded in highly connected networks. The large number of international organizations present in the Brazilian network reflects the global increase in scientific collaboration and Brazil’s engagement in international collaborative research efforts. Fiocruz frequent cooperation with high-income countries demonstrates its concern in benefiting from the access to facilities, funding, equipment and networks that are often limited in its research setting. Collaboration with high burden countries has to be strengthened, as it could improve access to local knowledge and better understanding of the disease in different endemic contexts. Centrality analysis consolidated information on the importance of Fiocruz in connecting TB research institutions in Brazil. Fiocruz Observatory intends to advance this analysis by looking into the mechanisms of collaboration, identifying priority themes and assessing comparative advantages of the network members, an important contribution

Interaction Patterns in Web-based Knowledge Communities: Two-Mode Network Approach

NARCIS (Netherlands)

Vollenbroek, Wouter Bernardus; de Vries, Sjoerd A.; Fred, Ana; Dietz, Jan; Aveiro, David; Liu, Kecheng; Bernardino, Jorge; Filipe, Joaquim

2016-01-01

The importance of web-based knowledge communities (WKCs) in the 'network society' is growing. This trend is seen in many disciplines, like education, government, finance and other profit- and non-profit organisations. There is a need for understanding the development of these online communities in

Federal Plan for Advanced Networking Research and Development

Data.gov (United States)

Networking and Information Technology Research and Development, Executive Office of the President — In the four decades since Federal research first enabled computers to send and receive data over networks, U.S. government research and development R and D in...

Data Linkage Graph: computation, querying and knowledge discovery of life science database networks

Directory of Open Access Journals (Sweden)

Lange Matthias

2007-12-01

Full Text Available To support the interpretation of measured molecular facts, like gene expression experiments or EST sequencing, the functional or the system biological context has to be considered. Doing so, the relationship to existing biological knowledge has to be discovered. In general, biological knowledge is worldwide represented in a network of databases. In this paper we present a method for knowledge extraction in life science databases, which prevents the scientists from screen scraping and web clicking approaches.

Network-based approaches to climate knowledge discovery

Science.gov (United States)

Budich, Reinhard; Nyberg, Per; Weigel, Tobias

2011-11-01

Climate Knowledge Discovery Workshop; Hamburg, Germany, 30 March to 1 April 2011 Do complex networks combined with semantic Web technologies offer the next generation of solutions in climate science? To address this question, a first Climate Knowledge Discovery (CKD) Workshop, hosted by the German Climate Computing Center (Deutsches Klimarechenzentrum (DKRZ)), brought together climate and computer scientists from major American and European laboratories, data centers, and universities, as well as representatives from industry, the broader academic community, and the semantic Web communities. The participants, representing six countries, were concerned with large-scale Earth system modeling and computational data analysis. The motivation for the meeting was the growing problem that climate scientists generate data faster than it can be interpreted and the need to prepare for further exponential data increases. Current analysis approaches are focused primarily on traditional methods, which are best suited for large-scale phenomena and coarse-resolution data sets. The workshop focused on the open discussion of ideas and technologies to provide the next generation of solutions to cope with the increasing data volumes in climate science.

HTR fuel research in the HTR-TN network on the high flux reactor

Energy Technology Data Exchange (ETDEWEB)

Guidez, J.; Conrad, R.; Sevini, P.; Burghartz, M. [HFR Unit, Institute for Advanced Materials, European Commission, Joint Research Centre, Petten (Netherlands); Languille, A. [CEA Cadarache, 13 - Saint Paul lez Durance (France); Guillermier, P. [FRAMATOME ANP, 69 - Lyon (France); Bakker, K. [Nuclear Research and Consultancy Group, Petten (Netherlands); Nabielek, H. [Forschungszentrum Juelich (Germany)

2001-07-01

Foremost, this paper explains the economic and strategic reasons for the comeback of the HTR reactor as one of the most promising reactors in the future. To study all the points related to HTR technology, a European network called HTR-TN was created in April 2000, with actually twenty European companies involved. This paper explains the organisation of the network and the related task-groups. In the field of fuel, one of these task-groups works on the fuel cycle and another works on the fuel itself in order to validate by testing HTR fuel possibilities. To this aim, an experimental loop is under construction in the HFR reactor to test full-size pebble type fuel elements and another under study to test compact fuel possibilities. These loops are based on all the experience accumulated by the High Flux Reactor in the years 70-90, when a lot of test were performed for fuel and material for the HTR technology and the facility design uses all the existing HFR knowledge. In conclusion, a host of research work, co-ordinated in the frame of a European network HTR-TN has begun. and should allow in the near future a substantial progress in the knowledge of this very promising fuel. (author)

HTR fuel research in the HTR-TN network on the high flux reactor

International Nuclear Information System (INIS)

Guidez, J.; Conrad, R.; Sevini, P.; Burghartz, M.; Languille, A.; Guillermier, P.; Bakker, K.; Nabielek, H.

2001-01-01

Foremost, this paper explains the economic and strategic reasons for the comeback of the HTR reactor as one of the most promising reactors in the future. To study all the points related to HTR technology, a European network called HTR-TN was created in April 2000, with actually twenty European companies involved. This paper explains the organisation of the network and the related task-groups. In the field of fuel, one of these task-groups works on the fuel cycle and another works on the fuel itself in order to validate by testing HTR fuel possibilities. To this aim, an experimental loop is under construction in the HFR reactor to test full-size pebble type fuel elements and another under study to test compact fuel possibilities. These loops are based on all the experience accumulated by the High Flux Reactor in the years 70-90, when a lot of test were performed for fuel and material for the HTR technology and the facility design uses all the existing HFR knowledge. In conclusion, a host of research work, co-ordinated in the frame of a European network HTR-TN has begun. and should allow in the near future a substantial progress in the knowledge of this very promising fuel. (author)

Knowledge Integration and Inter-Disciplinary Communication in Action Research

Directory of Open Access Journals (Sweden)

Hahn Heidi Ann

2014-08-01

Full Text Available In a plenary talk at WMSCI 2012 entitled "Planning for Action Research: Looking at Practice through a Different Lens," this author asserted that behavioral science practitioners, often "back into" action research – they start out doing a process improvement or intervention and discover something along the way, i.e., generalizable knowledge, that seems worthwhile to share with their community of practice. It was further asserted that, had the efforts been conceived of as research from the outset, the contributions to the body of knowledge would be more robust and the utility of the projects would improve as well. This paper continues on that theme. Action research and process improvement methods are briefly described and compared. A comparison of two Los Alamos National Laboratory engineering ethics training projects – one developed using a process improvement framework, the other using an action research framework – is put forth to provide evidence that use of a research "lens" can enhance behavioral science interventions and the knowledge that may result from them. The linkage between the Specifying Learning and Diagnosing stages of the Action Research Cycle provides one mechanism for integrating the knowledge gained into the product or process being studied and should provide a reinforcing loop that leads to continual improvement. The collaborative relationships among researchers and the individual, group, or organization that is the subject of the imp rovement op p ortunity (the "client", who are likely from very different backgrounds, and the interpretive epistemology that are among the hallmarks of action research also contribute to the quality of the knowledge gained. This paper closes with a discussion of how Inter-Disciplinary Communication is embedded within the action research paradigm and how this likely also enriches the knowledge gained.

Exploring ideation: Knowledge development in science through the lens of semantic and social networks

NARCIS (Netherlands)

Moser, C.; Birkholz, J.M.; Deichmann, D.; Hellsten, I.; Wang, S.

2013-01-01

In this paper, we explore changes in both structural and semantic characteristics of a scientific social network. We trace the emergence of knowledge, what we refer to as ideation, through publication data from two conferences in a sub-field of Computer Science. Social network analysis is used to

Assessment of change in knowledge about research methods among delegates attending research methodology workshop

Directory of Open Access Journals (Sweden)

Manisha Shrivastava

2018-01-01

Conclusion: There was increase in knowledge of the delegates after attending research methodology workshops. Participatory research methodology workshops are good methods of imparting knowledge, also the long term effects needs to be evaluated.

Urban Knowledge Arena

Directory of Open Access Journals (Sweden)

Karel Schmeidler

2008-01-01

Full Text Available COST Action C20 – Urban Knowledge Arena is research programme supported by European Co-operation in the Field of Scientific and Technical Research. It is co-ordinated by COST Office and European Science Foundation. The main objective of this Action is to explore and develop a European Arena for cross boundary, integrated knowledge and Know-how on complex urban problems, which is termed Urban Knowledge Arena. The COST Domain Transport and Urban Development aims at fostering international research networking activities of scientist and experts dealing with transport systems and infrastructures, spatial planning, urban land use and development, urban design, architecture and design and civil engineering issues. The focus is on multi and interdisciplinary approaches and the aim is to cover both basic and applied research activities and their changeovers that are relevant to policy and decision making processes. A significant concern is devoted to activities exploring new research needs and developments.

Mapping the global research landscape and knowledge gaps on multimorbidity: a bibliometric study.

Science.gov (United States)

Xu, Xiaolin; Mishra, Gita D; Jones, Mark

2017-06-01

To summarize global research trends and activities on multimorbidity; then to assess the knowledge gaps and to identify implications for knowledge exchange between high income countries (HICs) and low- and middle- income countries (LMICs). A comprehensive search was conducted to identify research publications on multimorbidity in the Web of Science TM , as well as diabetes, depression, hypertension, and Chronic Obstructive Pulmonary Disease (COPD). The time frame for the search was from 1900 to June, 2016. Information (such as publication date, subject category, author, country of origin, title, abstract, and keywords) were extracted and the full texts were obtained for the co-citation analysis. Data were linked with the life expectancy at birth (years) and Gross National Income (GNI). Co-citation and hierarchal clustering analysis was used to map the trends and research networks with CiteSpace II (JAVA freeware, copyright Chaomei Chen, http://cluster.cis.drexel.edu/~cchen/citespace/). We identified 2864 relevant publications as at June 2016, with the first paper on this topic indexed in 1974 from Germany, but 80% were published after 2010. Further analysis yielded two knowledge gaps: (1) compared with single conditions (diabetes, hypertension, depression, and COPD), there is a mismatch between the high prevalence of multimorbidity and its research outputs (ratio of articles on multimorbidity vs other four single conditions is 1:13-150); (2) although a total of 76 countries have contributed to this research area, only 5% of research originated from LMICs where 73% of non-communicable disease (NCD) related deaths had occurred. Additional analysis showed the median year of first publication occurred 15 years later in the LMICs compared with HICs (2010 vs 1995); and longer life expectancy was associated with exponentially higher publication outputs (Pearson correlation coefficient r  = 0.95) at the global level. The life expectancy at the median year (1994) of

Social network ties beyond nonredundancy: an experimental investigation of the effect of knowledge content and tie strength on creativity.

Science.gov (United States)

Perry-Smith, Jill E

2014-09-01

Social network research emphasizes the access to nonredundant knowledge content that network ties provide. I suggest that some content is more beneficial than others and that tie strength may affect creativity for reasons other than the associated structure. That is, tie strength may affect how individuals process nonredundant knowledge. I investigate 2 types of knowledge content--information (i.e., facts or data) and frames (i.e., interpretations or impressions)--and explore whether tie strength influences their effect on creativity. Drawing on creativity theory, I employ an experimental design to provide greater theoretical clarity and to isolate causality. According to the results from 2 studies, distinct frames received from contacts facilitate creativity, but the effect of distinct information is more complex. When individuals receive distinct information from strong ties, it constrains creativity compared to distinct frames. Content from weak ties appears to facilitate creativity across all scenarios. The results of mediated moderation analysis indicate the effect of framing versus information for strong ties is driven by decision-making time, as an indicator of cognitive expansion. PsycINFO Database Record (c) 2014 APA, all rights reserved.

NIHR Clinical Research Networks: what they do and how they help paediatric research.

Science.gov (United States)

Lythgoe, Hanna; Price, Victoria; Poustie, Vanessa; Attar, Sabah; Hawcutt, Daniel; Preston, Jennifer; Beresford, Michael W

2017-08-01

This review provides paediatricians with an update on the new structure of the National Institute for Health Research's (NIHR) Clinical Research Network (CRN): Children and its role within the wider NIHR infrastructure. The network supports delivery of high-quality research within the NHS in England and supports researchers, through provision of staff and resources, with feasibility, site set-up, patient recruitment and study management. Since 2013, over 80% of commercial contract studies running within the UK sat within the UKCRN Portfolio. Of the diverse, increasing portfolio of studies supported by the network, many studies are interventional, with 33% being randomised controlled studies. Recruitment to studies supported by the network through the Children's Portfolio has consistently improved. Over 200 000 participants have been recruited to the Children's Portfolio studies to date, and there are currently approximately 500 studies open to recruitment. The CRN: Children has successfully involved patients and the public in all aspects of study design and delivery, including through the work of Generation R. Challenges remain in conducting paediatric research and the network is committed to supporting Children's research and further building on its achievements to date. Education and engagement of paediatricians within the network and research is important to further improving quality and delivery of paediatric research. 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/.

Knowledge engineering for health: A new discipline required to bridge the “ICT gap” between research and healthcare

DEFF Research Database (Denmark)

Beck, Tim; Gollapudi, Sirisha; Brunak, Søren

2012-01-01

on “knowledge engineering for health” is needed to facilitate knowledge transmission across the research–healthcare gap. This discipline is required to engineer the bidirectional flow of data: processing research data and knowledge to identify clinically relevant advances and delivering these into healthcare...... the key aims and objectives, namely “integrating and interpreting information for individualized healthcare,” by developing the “knowledge engineering for health” domain. Hum Mutat 33:797–802, 2012. © 2012 Wiley Periodicals, Inc........ A series of meetings, culminating in the “I‐Health 2011” workshop, have brought together interdisciplinary experts to map the challenges and requirements for such a system. Here, we describe the main conclusions from these meetings. An “I4Health” interdisciplinary network of experts now exists to promote...

RD networks and regional knowledge production in Europe : Evidence from a space-time model

NARCIS (Netherlands)

Wanzenböck, Iris; Piribauer, Philipp

2018-01-01

In this study we estimate space-time impacts of the embeddedness in R&D networks on regional knowledge production using a dynamic spatial panel data model with non-linear effects for 229 European NUTS 2 regions in the period 1998–2010. Embeddedness refers to the positioning in networks where nodes