understanding complex social: Topics by WorldWideScience.org

Sample records for understanding complex social

Tackling complexities in understanding the social determinants of health: the contribution of ethnographic research.

Science.gov (United States)

Bandyopadhyay, Mridula

2011-11-25

The complexities inherent in understanding the social determinants of health are often not well-served by quantitative approaches. My aim is to show that well-designed and well-conducted ethnographic studies have an important contribution to make in this regard. Ethnographic research designs are a difficult but rigorous approach to research questions that require us to understand the complexity of people's social and cultural lives. I draw on an ethnographic study to describe the complexities of studying maternal health in a rural area in India. I then show how the lessons learnt in that setting and context can be applied to studies done in very different settings. I show how ethnographic research depends for rigour on a theoretical framework for sample selection; why immersion in the community under study, and rapport building with research participants, is important to ensure rich and meaningful data; and how flexible approaches to data collection lead to the gradual emergence of an analysis based on intense cross-referencing with community views and thus a conclusion that explains the similarities and differences observed. When using ethnographic research design it can be difficult to specify in advance the exact details of the study design. Researchers can encounter issues in the field that require them to change what they planned on doing. In rigorous ethnographic studies, the researcher in the field is the research instrument and needs to be well trained in the method. Ethnographic research is challenging, but nevertheless provides a rewarding way of researching complex health problems that require an understanding of the social and cultural determinants of health.
Simulating social complexity a handbook

CERN Document Server

Meyer, Ruth

2013-01-01

Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society. The phenom...
Understanding social behaviour with the help of complexity science (Invited article)

NARCIS (Netherlands)

Hemelrijk, C.K.

2002-01-01

In the study of complexity, a new kind of explanation has been developed for social behaviour. It shows how patterns of social behaviour can arise as a side-effect of the interaction of individuals with their social or physical environment (e.g. by self-organization). This development may influence
LD, interpersonal understanding, and social behavior in the classroom.

Science.gov (United States)

Kravetz, S; Faust, M; Lipshitz, S; Shalhav, S

1999-01-01

This study used Baron and Kenny's (1986) criteria for mediation to investigate the extent to which interpersonal understanding mediates the relation between learning disabilities (LD) and social adaptation in the classroom. Twenty-two children with and 22 children without a diagnosis of LD completed a semistructured developmental clinical interview measure of interpersonal understanding. They were also rated by their fourth- and fifth-grade teachers on a measure of social adaptation in the classroom. Interpersonal understanding and social adaptation in the classroom were found to be positively correlated. Children with LD exhibited less interpersonal understanding and social adaptation. Although this group difference on social adaptation was greatly reduced when interpersonal understanding was statistically controlled, it remained statistically significant. These results suggest that reduced social adaptation in the classroom and lower interpersonal understanding are both associated with a diagnosis of LD. However, they do not conclusively support the claim that interpersonal understanding mediates the relation between LD and social adaptation. Thus, whether the social difficulties of people with LD stem from the same complex phenomena that produce these people's learning problems remains an open question.
Social media and social work education: understanding and dealing with the new digital world.

Science.gov (United States)

Fang, Lin; Mishna, Faye; Zhang, Vivian F; Van Wert, Melissa; Bogo, Marion

2014-10-01

Accompanying the multiple benefits and innovations of social media are the complex ethical and pedagogical issues that challenge social work educators. Without a clear understanding of the blurred boundaries between public and private, the potentially limitless and unintended audiences, as well as the permanency of the information shared online, social work students who use social media can find themselves in difficult situations in their personal and professional lives. In this article, we present three scenarios that illustrate issues and complexities involving social media use by social work students, followed by a discussion and recommendations for social work educators.
Developmental Pathways for Social Understanding: Linking Social Cognition to Social Contexts

Directory of Open Access Journals (Sweden)

Kimberly eBrink

2015-05-01

Full Text Available Contemporary research, often with looking-time tasks, reveals that infants possess foundational understandings of their social worlds. However, few studies have examined how these early social cognitions relate to the child’s social interactions and behavior in early development. Does an early understanding of the social world relate to how an infant interacts with his or her parents? Do early social interactions along with social-cognitive understandings in infancy predict later preschool social competencies? In the current paper, we propose a theory in which children’s later social behaviors and their understanding of the social world depend on the integration of early social understanding and experiences in infancy. We review several of our studies, as well as other research, that directly examine the pathways between these competencies to support a hypothesized network of relations between social-cognitive development and social-interactive behaviors in the development from infancy to childhood. In total, these findings reveal differences in infant social competences that both track the developmental trajectory of infants’ understanding of people over the first years of life and provide external validation for the large body of social-cognitive findings emerging from laboratory looking-time paradigms.
How to make a complex story understandable. Communication on nitrogen

International Nuclear Information System (INIS)

Bleeker, A.; Hensen, A.; Erisman, J.W.

2011-01-01

Understanding is the first step towards solving the nitrogen problem. Various applications have been developed to gain insight in the complex interactions between the nitrogen cycle and the social-economic and environmental aspects. Experience has learned that many users have not only gained a clearer picture of the urgency and complexity of the problem; now they also have options for dealing with the nitrogen problem. [nl
Understanding the complex relationships among actors involved in the implementation of public-private mix (PPM) for TB control in India, using social theory.

Science.gov (United States)

Salve, Solomon; Harris, Kristine; Sheikh, Kabir; Porter, John D H

2018-06-07

Public Private Partnerships (PPP) are increasingly utilized as a public health strategy for strengthening health systems and have become a core component for the delivery of TB control services in India, as promoted through national policy. However, partnerships are complex systems that rely on relationships between a myriad of different actors with divergent agendas and backgrounds. Relationship is a crucial element of governance, and relationship building an important aspect of partnerships. To understand PPPs a multi-disciplinary perspective that draws on insights from social theory is needed. This paper demonstrates how social theory can aid the understanding of the complex relationships of actors involved in implementation of Public-Private Mix (PPM)-TB policy in India. Ethnographic research was conducted within a district in a Southern state of India over a 14 month period, combining participant observations, informal interactions and in-depth interviews with a wide range of respondents across public, private and non-government organisation (NGO) sectors. Drawing on the theoretical insights from Bourdieu's "theory of practice" this study explores the relationships between the different actors. The study found that programme managers, frontline TB workers, NGOs, and private practitioners all had a crucial role to play in TB partnerships. They were widely regarded as valued contributors with distinct social skills and capabilities within their organizations and professions. However, their potential contributions towards programme implementation tended to be unrecognized both at the top and bottom of the policy implementation chain. These actors constantly struggled for recognition and used different mechanisms to position themselves alongside other actors within the programme that further complicated the relationships between different actors. This paper demonstrates that applying social theory can enable a better understanding of the complex relationship
Understanding Social Media Logic

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José van Dijck

2013-08-01

Full Text Available Over the past decade, social media platforms have penetrated deeply into the mechanics of everyday life, affecting people's informal interactions, as well as institutional structures and professional routines. Far from being neutral platforms for everyone, social media have changed the conditions and rules of social interaction. In this article, we examine the intricate dynamic between social media platforms, mass media, users, and social institutions by calling attention to social media logic—the norms, strategies, mechanisms, and economies—underpinning its dynamics. This logic will be considered in light of what has been identified as mass media logic, which has helped spread the media's powerful discourse outside its institutional boundaries. Theorizing social media logic, we identify four grounding principles—programmability, popularity, connectivity, and datafication—and argue that these principles become increasingly entangled with mass media logic. The logic of social media, rooted in these grounding principles and strategies, is gradually invading all areas of public life. Besides print news and broadcasting, it also affects law and order, social activism, politics, and so forth. Therefore, its sustaining logic and widespread dissemination deserve to be scrutinized in detail in order to better understand its impact in various domains. Concentrating on the tactics and strategies at work in social media logic, we reassess the constellation of power relationships in which social practices unfold, raising questions such as: How does social media logic modify or enhance existing mass media logic? And how is this new media logic exported beyond the boundaries of (social or mass media proper? The underlying principles, tactics, and strategies may be relatively simple to identify, but it is much harder to map the complex connections between platforms that distribute this logic: users that employ them, technologies that
Supporting Individuals with Autism Spectrum Disorder in Understanding and Coping with Complex Social Emotional Issues

Science.gov (United States)

Ahlers, Kaitlyn P.; Gabrielsen, Terisa P.; Lewis, Danielle; Brady, Anna M.; Litchford, April

2017-01-01

Core deficits in autism spectrum disorder (ASD) center around social communication and behavior. For those with ASD, these deficits complicate the task of learning how to cope with and manage complex social emotional issues. Although individuals with ASD may receive sufficient academic and basic behavioral support in school settings, supports for…
Schizophrenia, Narrative, and Neurocognition: The Utility of Life-Stories in Understanding Social Problem-Solving Skills.

Science.gov (United States)

Moe, Aubrey M; Breitborde, Nicholas J K; Bourassa, Kyle J; Gallagher, Colin J; Shakeel, Mohammed K; Docherty, Nancy M

2018-01-22

Schizophrenia researchers have focused on phenomenological aspects of the disorder to better understand its underlying nature. In particular, development of personal narratives-that is, the complexity with which people form, organize, and articulate their "life stories"-has recently been investigated in individuals with schizophrenia. However, less is known about how aspects of narrative relate to indicators of neurocognitive and social functioning. The objective of the present study was to investigate the association of linguistic complexity of life-story narratives to measures of cognitive and social problem-solving abilities among people with schizophrenia. Thirty-two individuals with a diagnosis of schizophrenia completed a research battery consisting of clinical interviews, a life-story narrative, neurocognitive testing, and a measure assessing multiple aspects of social problem solving. Narrative interviews were assessed for linguistic complexity using computerized technology. The results indicate differential relationships of linguistic complexity and neurocognition to domains of social problem-solving skills. More specifically, although neurocognition predicted how well one could both describe and enact a solution to a social problem, linguistic complexity alone was associated with accurately recognizing that a social problem had occurred. In addition, linguistic complexity appears to be a cognitive factor that is discernible from other broader measures of neurocognition. Linguistic complexity may be more relevant in understanding earlier steps of the social problem-solving process than more traditional, broad measures of cognition, and thus is relevant in conceptualizing treatment targets. These findings also support the relevance of developing narrative-focused psychotherapies. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Rethinking conformity and imitation: divergence, convergence, and social understanding.

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Hodges, Bert H

2014-01-01

Social and developmental psychologists have stressed the pervasiveness and strength of humans' tendencies to conform and to imitate, and social anthropologists have argued that these tendencies are crucial to the formation of cultures. Research from four domains is reviewed and elaborated to show that divergence is also pervasive and potent, and it is interwoven with convergence in a complex set of dynamics that is often unnoticed or minimized. First, classic research in social conformity is reinterpreted in terms of truth, trust, and social solidarity, revealing that dissent is its most salient feature. Second, recent studies of children's use of testimony to guide action reveal a surprisingly sophisticated balance of trust and prudence, and a concern for truth and charity. Third, new experiments indicate that people diverge from others even under conditions where conformity seems assured. Fourth, current studies of imitation provide strong evidence that children are both selective and faithful in who, what, and why they follow others. All of the evidence reviewed points toward children and adults as being engaged, embodied partners with others, motivated to learn and understand the world, others, and themselves in ways that go beyond goals and rules, prediction and control. Even young children act as if they are in a dialogical relationship with others and the world, rather than acting as if they are solo explorers or blind followers. Overall, the evidence supports the hypothesis that social understanding cannot be reduced to convergence or divergence, but includes ongoing activities that seek greater comprehensiveness and complexity in the ability to act and interact effectively, appropriately, and with integrity.
Network-oriented modeling addressing complexity of cognitive, affective and social interactions

CERN Document Server

Treur, Jan

2016-01-01

This book presents a new approach that can be applied to complex, integrated individual and social human processes. It provides an alternative means of addressing complexity, better suited for its purpose than and effectively complementing traditional strategies involving isolation and separation assumptions. Network-oriented modeling allows high-level cognitive, affective and social models in the form of (cyclic) graphs to be constructed, which can be automatically transformed into executable simulation models. The modeling format used makes it easy to take into account theories and findings about complex cognitive and social processes, which often involve dynamics based on interrelating cycles. Accordingly, it makes it possible to address complex phenomena such as the integration of emotions within cognitive processes of all kinds, of internal simulations of the mental processes of others, and of social phenomena such as shared understandings and collective actions. A variety of sample models – including ...
Group size and social conflict in complex societies.

Science.gov (United States)

Shen, Sheng-Feng; Akçay, Erol; Rubenstein, Dustin R

2014-02-01

Conflicts of interest over resources or reproduction among individuals in a social group have long been considered to result in automatic and universal costs to group living. However, exploring how social conflict varies with group size has produced mixed empirical results. Here we develop a model that generates alternative predictions for how social conflict should vary with group size depending on the type of benefits gained from being in a social group. We show that a positive relationship between social conflict and group size is favored when groups form primarily for the benefits of sociality but not when groups form mainly for accessing group-defended resources. Thus, increased social conflict in animal societies should not be viewed as an automatic cost of larger social groups. Instead, studying the relationship between social conflict and the types of grouping benefits will be crucial for understanding the evolution of complex societies.
Rethinking conformity and imitation: divergence, convergence, and social understanding

Directory of Open Access Journals (Sweden)

Bert eHodges

2014-07-01

Full Text Available Social and developmental psychologists have stressed the pervasiveness and strength of humans’ tendencies to conform and to imitate, and social anthropologists have argued that these tendencies are crucial to the formation of cultures. Research from four domains is reviewed and elaborated to show that divergence is also pervasive and potent, and is interwoven with convergence in a complex set of dynamics that is often unnoticed or minimized. First, classic research in social conformity is reinterpreted in terms of truth, trust, and social solidarity, revealing that dissent is its most salient feature. Second, recent studies of children’s use of testimony to guide action reveal a surprisingly sophisticated balance of trust and prudence, and a concern for truth and charity. Third, new experiments indicate that people diverge from others even under conditions where conformity seems assured. Fourth, current studies of imitation provide strong evidence that children are both selective and faithful in who, what, and why they follow others. All of the evidence reviewed points toward children and adults as being engaged, embodied partners with others, motivated to learn and understand the world, others, and themselves in ways that go beyond goals and rules, prediction and control. Even young children act as if they are in a dialogical relationship with others and the world, rather than acting as if they are solo explorers or blind followers. Overall, the evidence supports the hypothesis that social understanding cannot be reduced to convergence or divergence, but includes ongoing activities that seek greater comprehensiveness and complexity in the ability to act and interact effectively, appropriately, and with integrity.
Understanding Islamist political violence through computational social simulation

Energy Technology Data Exchange (ETDEWEB)

Watkins, Jennifer H [Los Alamos National Laboratory; Mackerrow, Edward P [Los Alamos National Laboratory; Patelli, Paolo G [Los Alamos National Laboratory; Eberhardt, Ariane [Los Alamos National Laboratory; Stradling, Seth G [Los Alamos National Laboratory

2008-01-01

Understanding the process that enables political violence is of great value in reducing the future demand for and support of violent opposition groups. Methods are needed that allow alternative scenarios and counterfactuals to be scientifically researched. Computational social simulation shows promise in developing 'computer experiments' that would be unfeasible or unethical in the real world. Additionally, the process of modeling and simulation reveals and challenges assumptions that may not be noted in theories, exposes areas where data is not available, and provides a rigorous, repeatable, and transparent framework for analyzing the complex dynamics of political violence. This paper demonstrates the computational modeling process using two simulation techniques: system dynamics and agent-based modeling. The benefits and drawbacks of both techniques are discussed. In developing these social simulations, we discovered that the social science concepts and theories needed to accurately simulate the associated psychological and social phenomena were lacking.
A Geovisual Analytic Approach to Understanding Geo-Social Relationships in the International Trade Network

OpenAIRE

Luo, Wei; Yin, Peifeng; Di, Qian; Hardisty, Frank; MacEachren, Alan M.

2014-01-01

The world has become a complex set of geo-social systems interconnected by networks, including transportation networks, telecommunications, and the internet. Understanding the interactions between spatial and social relationships within such geo-social systems is a challenge. This research aims to address this challenge through the framework of geovisual analytics. We present the GeoSocialApp which implements traditional network analysis methods in the context of explicitly spatial and social...
Culture, executive function, and social understanding.

Science.gov (United States)

Lewis, Charlie; Koyasu, Masuo; Oh, Seungmi; Ogawa, Ayako; Short, Benjamin; Huang, Zhao

2009-01-01

Much of the evidence from the West has shown links between children's developing self-control (executive function), their social experiences, and their social understanding (Carpendale & Lewis, 2006, chapters 5 and 6), across a range of cultures including China. This chapter describes four studies conducted in three Oriental cultures, suggesting that the relationships among social interaction, executive function, and social understanding are different in these cultures, implying that social and executive skills are underpinned by key cultural processes.
Vocal complexity and sociality in spotted paca (Cuniculus paca).

Science.gov (United States)

Lima, Stella G C; Sousa-Lima, Renata S; Tokumaru, Rosana S; Nogueira-Filho, Sérgio L G; Nogueira, Selene S C

2018-01-01

The evolution of sociality is related to many ecological factors that act on animals as selective forces, thus driving the formation of groups. Group size will depend on the payoffs of group living. The Social Complexity Hypothesis for Communication (SCHC) predicts that increases in group size will be related to increases in the complexity of the communication among individuals. This hypothesis, which was confirmed in some mammal societies, may be useful to trace sociality in the spotted paca (Cuniculus paca), a Neotropical caviomorph rodent reported as solitary. There are, however, sightings of groups in the wild, and farmers easily form groups of spotted paca in captivity. Thus, we aimed to describe the acoustic repertoire of captive spotted paca to test the SCHC and to obtain insights about the sociability of this species. Moreover, we aimed to verify the relationship between group size and acoustic repertoire size of caviomorph rodents, to better understand the evolution of sociality in this taxon. We predicted that spotted paca should display a complex acoustic repertoire, given their social behavior in captivity and group sightings in the wild. We also predicted that in caviomorph species the group size would increase with acoustic repertoire, supporting the SCHC. We performed a Linear Discriminant Analysis (LDA) based on acoustic parameters of the vocalizations recorded. In addition, we applied an independent contrasts approach to investigate sociality in spotted paca following the social complexity hypothesis, independent of phylogeny. Our analysis showed that the spotted paca's acoustic repertoire contains seven vocal types and one mechanical signal. The broad acoustic repertoire of the spotted paca might have evolved given the species' ability to live in groups. The relationship between group size and the size of the acoustic repertoires of caviomorph species was confirmed, providing additional support for the SCHC in yet another group of diverse mammals
Interactive social contagions and co-infections on complex networks

Science.gov (United States)

Liu, Quan-Hui; Zhong, Lin-Feng; Wang, Wei; Zhou, Tao; Eugene Stanley, H.

2018-01-01

What we are learning about the ubiquitous interactions among multiple social contagion processes on complex networks challenges existing theoretical methods. We propose an interactive social behavior spreading model, in which two behaviors sequentially spread on a complex network, one following the other. Adopting the first behavior has either a synergistic or an inhibiting effect on the spread of the second behavior. We find that the inhibiting effect of the first behavior can cause the continuous phase transition of the second behavior spreading to become discontinuous. This discontinuous phase transition of the second behavior can also become a continuous one when the effect of adopting the first behavior becomes synergistic. This synergy allows the second behavior to be more easily adopted and enlarges the co-existence region of both behaviors. We establish an edge-based compartmental method, and our theoretical predictions match well with the simulation results. Our findings provide helpful insights into better understanding the spread of interactive social behavior in human society.

Land, power and conflict in Afghanistan: seeking to understand complexity

Directory of Open Access Journals (Sweden)

Adam Pain

2013-06-01

Full Text Available This paper explores the diverse links between land and power under conditions of conflict in Afghanistan, taking into account the complexities of Afghan society. These complexities are structured around interconnecting informal institutions and personalised relationships, culturally specific, diverse and shifting patterns of social relations, and spatially specific patterns of land ownership inequalities. The paper draws on a decade of empirical fieldwork in Afghanistan and recent work on livelihood trajectories and the opium economy. An understanding of the evolution of land ownership and access issues needs to be associated with an appreciation of diverse and potentially contradictory long-term drivers of change in the rural economy. The first of these long-term drivers of change relates to the effects of conflict, not only on land but also of water access under conditions of an increasingly scarce water supply. The second driver relates both to the roles played by village elites and to the structural contrasts between villages located in the mountains and in the plains, with the latter displaying major inequalities in land ownership. The third driver relates to the declining economic role of land in rural livelihoods, given long-term agrarian change and falling farm sizes. An understanding of history is fundamental to explaining these phenomena. How such conflicts play out, and which social groups or individuals they involve, also depend to a large degree on spatial positioning.
A Diagrammatic Approach to Understanding Complex Eco-Social Interactions in Kathmandu, Nepal

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R. Cynthia. Neudoerffer

2005-12-01

Full Text Available As part of developing an international network of community-based ecosystem approaches to health, a project was undertaken in a densely populated and socio-economically diverse area of Kathmandu, Nepal. Drawing on hundreds of pages of narrative reports based on surveys, interviews, secondary data, and focus groups by trained Nepalese facilitators, the authors created systemic depictions of relationships between multiple stakeholder groups, ecosystem health, and human health. These were then combined to examine interactions among stakeholders, activities, concerns, perceived needs, and resource states (ecosystem health indicators. These qualitative models have provided useful heuristics for both community members and research scholars to understand the eco-social systems in which they live; many of the strategies developed by the communities and researchers to improve health intuitively drew on this systemic understanding. The diagrams enabled researchers and community participants to explicitly examine relationships and conflicts related to health and environmental issues in their community.
Simple, complex and hyper-complex understanding - enhanced sensitivity in observation of information

DEFF Research Database (Denmark)

Bering Keiding, Tina

for construction and analysis of empirical information. A quick overview on empirical research drawing on Luhmann reveals a diverse complex of analytical strategies and empirical methods. Despite differences between strategies and methods they have in common that understanding of uttered information is crucial...... in their production of empirically founded knowledge. However research generally seems to pay more attention to production of uttered information than to selection of understanding. The aim of this contribution is to sketch out a suggestion to how selection of understanding can be systematized in order to produce...... enhanced transparency in selection of understanding as well as enhanced sensitivity and definition in dept. The contribution suggest that we distinguish between three types of understanding; simple, complex and hyper-complex understanding. Simple understanding is the simultaneous selection of understanding...
Studying the complexity of change: toward an analytical framework for understanding deliberate social-ecological transformations

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Michele-Lee Moore

2014-12-01

Full Text Available Faced with numerous seemingly intractable social and environmental challenges, many scholars and practitioners are increasingly interested in understanding how to actively engage and transform the existing systems holding such problems in place. Although a variety of analytical models have emerged in recent years, most emphasize either the social or ecological elements of such transformations rather than their coupled nature. To address this, first we have presented a definition of the core elements of a social-ecological system (SES that could potentially be altered in a transformation. Second, we drew on insights about transformation from three branches of literature focused on radical change, i.e., social movements, socio-technical transitions, and social innovation, and gave consideration to the similarities and differences with the current studies by resilience scholars. Drawing on these findings, we have proposed a framework that outlines the process and phases of transformative change in an SES. Future research will be able to utilize the framework as a tool for analyzing the alteration of social-ecological feedbacks, identifying critical barriers and leverage points and assessing the outcome of social-ecological transformations.
Understanding Poverty: Teaching Social Justice in Undergraduate Nursing Education.

Science.gov (United States)

Hellman, Ann N; Cass, Cary; Cathey, Heather; Smith, Sarah L; Hurley, Shelia

This article presents results of an exploratory qualitative study examining gains in empathy and social justice beliefs among undergraduate nursing students. As undergraduate nursing education provides the foundation for future forensic nurses, developing successful methods to increase beliefs and behaviors of social empathy and social justice among nursing students will have a beneficial effect on the specialty of forensic nursing. As such, a team of nursing researchers explored the effects of a poverty simulation on the social empathy and social justice beliefs held by undergraduate students. The research team conducted an exploratory qualitative study of student reflective journals. Using an inductive interpretive process, the researchers performed a content analysis of student responses. The researchers identified three constitutive patterns and eight supporting themes as reflected in the students' reflective journals after participation in poverty simulation sessions. This research study found that, when nursing students participate in poverty simulation experiences, they gain an increased understanding of the vulnerability and complexities of living in poverty and are motivated to both advocate for patients and become change agents. Such increases in social empathy and promotion of social justice will inevitably positively affect their future practice and inform their development as forensic nurses.
Integrating the social sciences to understand human-water dynamics

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Carr, G.; Kuil, L., Jr.

2017-12-01

Many interesting and exciting socio-hydrological models have been developed in recent years. Such models often aim to capture the dynamic interplay between people and water for a variety of hydrological settings. As such, peoples' behaviours and decisions are brought into the models as drivers of and/or respondents to the hydrological system. To develop and run such models over a sufficiently long time duration to observe how the water-human system evolves the human component is often simplified according to one or two key behaviours, characteristics or decisions (e.g. a decision to move away from a drought or flood area; a decision to pump groundwater, or a decision to plant a less water demanding crop). To simplify the social component, socio-hydrological modellers often pull knowledge and understanding from existing social science theories. This requires them to negotiate complex territory, where social theories may be underdeveloped, contested, dynamically evolving, or case specific and difficult to generalise or upscale. A key question is therefore, how can this process be supported so that the resulting socio-hydrological models adequately describe the system and lead to meaningful understanding of how and why it behaves as it does? Collaborative interdisciplinary research teams that bring together social and natural scientists are likely to be critical. Joint development of the model framework requires specific attention to clarification to expose all underlying assumptions, constructive discussion and negotiation to reach agreement on the modelled system and its boundaries. Mutual benefits to social scientists can be highlighted, i.e. socio-hydrological work can provide insights for further exploring and testing social theories. Collaborative work will also help ensure underlying social theory is made explicit, and may identify ways to include and compare multiple theories. As socio-hydrology progresses towards supporting policy development, approaches that
Polymedia and Ethnography: Understanding the Social in Social Media

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Mirca Madianou

2015-04-01

Full Text Available In this essay I argue that social media need to be understood as part of complex environments of communicative opportunities which I conceptualize as polymedia. This approach shifts our attention from social media as discrete platforms to the ways users navigate environments of affordances in order to manage their social relationships. Ethnography emerges as the most appropriate method to capture the relational dynamics that underpin social media practices within polymedia.
FuturICT: Participatory computing to understand and manage our complex world in a more sustainable and resilient way

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Helbing, D.; Bishop, S.; Conte, R.; Lukowicz, P.; McCarthy, J. B.

2012-11-01

We have built particle accelerators to understand the forces that make up our physical world. Yet, we do not understand the principles underlying our strongly connected, techno-socio-economic systems. We have enabled ubiquitous Internet connectivity and instant, global information access. Yet we do not understand how it impacts our behavior and the evolution of society. To fill the knowledge gaps and keep up with the fast pace at which our world is changing, a Knowledge Accelerator must urgently be created. The financial crisis, international wars, global terror, the spreading of diseases and cyber-crime as well as demographic, technological and environmental change demonstrate that humanity is facing serious challenges. These problems cannot be solved within the traditional paradigms. Moving our attention from a component-oriented view of the world to an interaction-oriented view will allow us to understand the complex systems we have created and the emergent collective phenomena characterising them. This paradigm shift will enable new solutions to long-standing problems, very much as the shift from a geocentric to a heliocentric worldview has facilitated modern physics and the ability to launch satellites. The FuturICT flagship project will develop new science and technology to manage our future in a complex, strongly connected world. For this, it will combine the power of information and communication technology (ICT) with knowledge from the social and complexity sciences. ICT will provide the data to boost the social sciences into a new era. Complexity science will shed new light on the emergent phenomena in socially interactive systems, and the social sciences will provide a better understanding of the opportunities and risks of strongly networked systems, in particular future ICT systems. Hence, the envisaged FuturICT flagship will create new methods and instruments to tackle the challenges of the 21st century. FuturICT could indeed become one of the most
A geovisual analytic approach to understanding geo-social relationships in the international trade network.

Science.gov (United States)

Luo, Wei; Yin, Peifeng; Di, Qian; Hardisty, Frank; MacEachren, Alan M

2014-01-01

The world has become a complex set of geo-social systems interconnected by networks, including transportation networks, telecommunications, and the internet. Understanding the interactions between spatial and social relationships within such geo-social systems is a challenge. This research aims to address this challenge through the framework of geovisual analytics. We present the GeoSocialApp which implements traditional network analysis methods in the context of explicitly spatial and social representations. We then apply it to an exploration of international trade networks in terms of the complex interactions between spatial and social relationships. This exploration using the GeoSocialApp helps us develop a two-part hypothesis: international trade network clusters with structural equivalence are strongly 'balkanized' (fragmented) according to the geography of trading partners, and the geographical distance weighted by population within each network cluster has a positive relationship with the development level of countries. In addition to demonstrating the potential of visual analytics to provide insight concerning complex geo-social relationships at a global scale, the research also addresses the challenge of validating insights derived through interactive geovisual analytics. We develop two indicators to quantify the observed patterns, and then use a Monte-Carlo approach to support the hypothesis developed above.
Analysis of Social Network Dynamics with Models from the Theory of Complex Adaptive Systems

OpenAIRE

Lymperopoulos , Ilias; Lekakos , George

2013-01-01

Part 4: Protocols, Regulation and Social Networking; International audience; The understanding and modeling of social dynamics in a complex and unpredictable world, emerges as a research target of particular importance. Success in this direction can yield valuable knowledge as to how social phenomena form and evolve in varying socioeconomic contexts comprising economic crises, societal disasters, cultural differences and security threats among others. The study of social dynamics occurring in...
Using Memes and Memetic Processes to Explain Social and Conceptual Influences on Student Understanding about Complex Socio-Scientific Issues

Science.gov (United States)

Yoon, Susan

2008-01-01

This study investigated seventh grade learners' decision making about genetic engineering concepts and applications. A social network analyses supported by technology tracked changes in student understanding with a focus on social and conceptual influences. Results indicated that several social and conceptual mechanisms potentially affected how…
Complexity in practice: understanding primary care as a complex adaptive system

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Beverley Ellis

2010-06-01

Conclusions The results are real-world exemplars of the emergent properties of complex adaptive systems. Improving clinical governance in primary care requires both complex social interactions and underpinning informatics. The socio-technical lessons learned from this research should inform future management approaches.
The Default Mode Network and Social Understanding of Others: What do Brain Connectivity Studies Tell Us

Directory of Open Access Journals (Sweden)

Wanqing eLi

2014-02-01

Full Text Available The Default Mode Network (DMN has been found to be involved in various domains of cognitive and social processing. The present article will review brain connectivity results related to the DMN in the fields of social understanding of others: emotion perception, empathy, theory of mind, and morality. Most of the reviewed studies focused on healthy subjects with no neurological and psychiatric disease, but some studies on patients with autism and psychopathy will also be discussed. Common results show that the medial prefrontal cortex (MPFC plays a key role in the social understanding of others, and the subregions of the MPFC contribute differently to this function according to their roles in different subsystems of the DMN. At the bottom, the ventral MPFC in the medial temporal lobe subsystem and its connections with emotion regions are mainly associated with emotion engagement during social interactions. Above, the anterior MPFC (aMPFC in the cortical midline structures and its connections with posterior and anterior cingulate cortex contribute mostly to making self-other distinctions. At the top, the dorsal MPFC (dMPFC in the dMPFC subsystem and its connection with the temporo-parietal junction (TPJ are primarily related to the understanding of other’s mental states. As behaviors become more complex, the related regions in frontal cortex are located higher. This reflects the transfer of information processing from automatic to cognitive processes with the increase of the complexity of social interaction. Besides the MPFC and TPJ, the connectivities of posterior cingulate cortex also show some changes during tasks from the four social fields. These results indicate that the DMN is indispensable in the social understanding of others.
Socialization, Language, and Scenic Understanding

DEFF Research Database (Denmark)

Olesen, Henning Salling; Weber, Kirsten

2013-01-01

is based on a transformation of the "scenic understanding" from a clinical to a text interpretation, which seeks to understand collective unconscious meaning in text, and is presented with an illustration of the interpretation procedure from social research. Then follows a brief systematic account of key...
What is complex in the complex world? Niklas Luhmann and the theory of social systems

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Clarissa Eckert Baeta Neves

Full Text Available This paper discusses Niklas Luhmann's understanding of complexity, its function in the theory and the different ways of its use. It starts with the paradigmatic change that occurred in the field of general Science, with the rupture of the Newtonian model. In the 20th century, the paradigm of order, symmetry, regularity, regulation of the intellect to things, collapses.Based on new formulations of Physics, Chemistry, etc., a new universe is built on bases radically opposed to those of modern Science.Chaos, the procedural irreversibility, indeterminism, the observer and the complexity are rehabilitated.This new conceptual context served as substratum to Niklas Luhmann's theoretical reflection.With his Theory of Social Systems, he proposes the reduction of the world's complexity.Social systems have the function of reducing complexity because of their difference in relation to the environment.On the other hand, the reduction of complexity also creates its own complexity. Luhmann defines complexity as the moment when it is not possible anymore for each element to relate at any moment with all the others. Complexity forces the selection, what means contingency and risk. Luhmann expands the concept of complexity when he introduces the figure of the observer and the distinction of complexity as a unit of a multiplicity. He also deals with the limit of relations in connection, the time factor, the self-reference of operations and the representation of complexity in the form of sense. To conclude, the paper discusses the complexity in the system of science, the way it reduces internal and external complexity, in accordance in its own operative basis.
Simulation-based education: understanding the socio-cultural complexity of a surgical training 'boot camp'.

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Cleland, Jennifer; Walker, Kenneth G; Gale, Michael; Nicol, Laura G

2016-08-01

The focus of simulation-based education (SBE) research has been limited to outcome and effectiveness studies. The effect of social and cultural influences on SBE is unclear and empirical work is lacking. Our objective in this study was to explore and understand the complexity of context and social factors at a surgical boot camp (BC). A rapid ethnographic study, employing the theoretical lenses of complexity and activity theory and Bourdieu's concept of 'capital', to better understand the socio-cultural influences acting upon, and during, two surgical BCs, and their implications for SBE. Over two 4-day BCs held in Scotland, UK, an observer and two preceptors conducted 81 hours of observations, 14 field interviews and 11 formal interviews with faculty members (n = 10, including the lead faculty member, session leaders and junior faculty members) and participants (n = 19 core surgical trainees and early-stage residents). Data collection and inductive analysis for emergent themes proceeded iteratively. This paper focuses on three analytical themes. First, the complexity of the surgical training system and wider health care education context, and how this influenced the development of the BC. Second, participants' views of the BC as a vehicle not just for learning skills but for gaining 'insider information' on how best to progress in surgical training. Finally, the explicit aim of faculty members to use the Scottish Surgical Bootcamp to welcome trainees and residents into the world of surgery, and how this occurred. To the best of our knowledge, this is the first empirical study of a surgical BC that takes a socio-cultural approach to exploring and understanding context, complexities, uncertainties and learning associated with one example of SBE. Our findings suggest that a BC is as much about social and cultural processes as it is about individual, cognitive and acquisitive learning. Acknowledging this explicitly will help those planning similar enterprises and
Conduct of everyday life and social self-understanding after depression

DEFF Research Database (Denmark)

Hybholt, Lisbeth; Mørck, Line Lerche

2015-01-01

This paper theoretically and empirically explores critical psychological conceptualisations of conduct of everyday life and social self-understanding. The analysis of conduct of everyday life for people who have been hospitalized with depression shows experiences of doubleness. We understand...... doubleness as dilemmas, conflicts and contradictions in the conduct of everyday life. The case analysis of Steven serves to illustrate how cyclic routines can matter, fulfilling meaning in life and being both in conflict and contradiction to other concerns and aspects of meaning that vary over time....... The paper empirically how these kind of conflicts, dilemmas and contradictions are much more complex, than what is possible to grasp in Holzkamp's understanding of conduct of everyday life (Holzkamp, 1998), which tends to produce dualistic opposition between cyclic everyday conduct (such as everyday life...
Complex problems require complex solutions: the utility of social quality theory for addressing the Social Determinants of Health

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Ward Paul R

2011-08-01

Full Text Available Abstract Background In order to improve the health of the most vulnerable groups in society, the WHO Commission on Social Determinants of Health (CSDH called for multi-sectoral action, which requires research and policy on the multiple and inter-linking factors shaping health outcomes. Most conceptual tools available to researchers tend to focus on singular and specific social determinants of health (SDH (e.g. social capital, empowerment, social inclusion. However, a new and innovative conceptual framework, known as social quality theory, facilitates a more complex and complete understanding of the SDH, with its focus on four domains: social cohesion, social inclusion, social empowerment and socioeconomic security, all within the same conceptual framework. This paper provides both an overview of social quality theory in addition to findings from a national survey of social quality in Australia, as a means of demonstrating the operationalisation of the theory. Methods Data were collected using a national random postal survey of 1044 respondents in September, 2009. Multivariate logistic regression analysis was conducted. Results Statistical analysis revealed that people on lower incomes (less than $45000 experience worse social quality across all of the four domains: lower socio-economic security, lower levels of membership of organisations (lower social cohesion, higher levels of discrimination and less political action (lower social inclusion and lower social empowerment. The findings were mixed in terms of age, with people over 65 years experiencing lower socio-economic security, but having higher levels of social cohesion, experiencing lower levels of discrimination (higher social inclusion and engaging in more political action (higher social empowerment. In terms of gender, women had higher social cohesion than men, although also experienced more discrimination (lower social inclusion. Conclusions Applying social quality theory allows
Social complexity parallels vocal complexity: a comparison of three nonhuman primate species

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Hélène eBOUCHET

2013-07-01

Full Text Available Social factors play a key role in the structuring of vocal repertoires at the individual level, notably in nonhuman primates. Some authors suggested that, at the species level too, social life may have driven the evolution of communicative complexity, but this has rarely been empirically tested. Here, we use a comparative approach to address this issue. We investigated vocal variability, at both the call type and the repertoire levels, in three forest-dwelling species of Cercopithecinae presenting striking differences in their social systems, in terms of social organization as well as social structure. We collected female call recordings from twelve De Brazza’s monkeys (Cercopithecus neglectus, six Campbell’s monkeys (Cercopithecus campbelli and seven red-capped mangabeys (Cercocebus torquatus housed in similar conditions. First, we noted that the level of acoustic variability and individual distinctiveness found in several call types was related to their importance in social functioning. Contact calls, essential to intra-group cohesion, were the most individually distinctive regardless of the species, while threat calls were more structurally variable in mangabeys, the most ‘despotic’ of our three species. Second, we found a parallel between the degree of complexity of the species’ social structure and the size, diversity, and usage of its vocal repertoire. Mangabeys (most complex social structure called twice as often as guenons and displayed the largest and most complex repertoire. De Brazza’s monkeys (simplest social structure displayed the smallest and simplest repertoire. Campbell’s monkeys displayed an intermediate pattern. Providing evidence of higher levels of vocal variability in species presenting a more complex social system, our results are in line with the theory of a social-vocal coevolution of communicative abilities, opening new perspectives for comparative research on the evolution of communication systems in
Designing for Social Infrastructures in Complex Service Systems: A Human-Centered and Social Systems Perspective on Service Design

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Mieke van der Bijl-Brouwer

Full Text Available Service design is one of the keys to improving how we target today’s complex societal problems. The predominant view of service systems is mechanistic and linear. A service infrastructure—which includes solutions like service blueprints, scripts, and protocols—is, in some ways, designed to control the behavior of service professionals at the service interface. This view undermines the intrinsic motivation, expertise, and creativity of service professionals. This article presents a different perspective on service design. Using theories of social systems and complex responsive processes, I define service organizations as ongoing iterated patterns of relationships between people, and identify them as complex social service systems. I go on to show how the human-centeredness of design practices contributes to designing for such service systems. In particular, I show how a deep understanding of the needs and aspirations of service professionals through phenomenological themes contributes to designing for social infrastructures that support continuous improvement and adaptation of the practices executed by service professionals at the service interface.

Improved understanding of protein complex offers insight into DNA

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Summer Science Writing Internship Improved understanding of protein complex offers insight into DNA clearer understanding of the origin recognition complex (ORC) - a protein complex that directs DNA replication - through its crystal structure offers new insight into fundamental mechanisms of DNA replication
Understanding Social Networks: Theories, Concepts, and Findings

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Kadushin, Charles

2012-01-01

Despite the swift spread of social network concepts and their applications and the rising use of network analysis in social science, there is no book that provides a thorough general introduction for the serious reader. "Understanding Social Networks" fills that gap by explaining the big ideas that underlie the social network phenomenon.…
The development of second-order social cognition and its relation with complex language understanding and working memory

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Arslan, Burcu; Hohenberger, Annette; Verbrugge, Rineke

2012-01-01

In this study, the development of second-order social cognition and its possible relationship with language and memory were investigated. For this reason two second-order false belief tasks (FBT_2), a short term memory task (WST), a complex working memory task (LST), a linguistic perspective-taking
Social dimension and complexity differentially influence brain responses during feedback processing.

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Pfabigan, Daniela M; Gittenberger, Marianne; Lamm, Claus

2017-10-30

Recent research emphasizes the importance of social factors during performance monitoring. Thus, the current study investigated the impact of social stimuli -such as communicative gestures- on feedback processing. Moreover, it addressed a shortcoming of previous studies, which failed to consider stimulus complexity as potential confounding factor. Twenty-four volunteers performed a time estimation task while their electroencephalogram was recorded. Either social complex, social non-complex, non-social complex, or non-social non-complex stimuli were used to provide performance feedback. No effects of social dimension or complexity were found for task performance. In contrast, Feedback-Related Negativity (FRN) and P300 amplitudes were sensitive to both factors, with larger FRN and P300 amplitudes after social compared to non-social stimuli, and larger FRN amplitudes after complex positive than non-complex positive stimuli. P2 amplitudes were solely sensitive to feedback valence and social dimension. Subjectively, social complex stimuli were rated as more motivating than non-social complex ones. Independently of each other, social dimension and visual complexity influenced amplitude variation during performance monitoring. Social stimuli seem to be perceived as more salient, which is corroborated by P2, FRN and P300 results, as well as by subjective ratings. This could be explained due to their given relevance during every day social interactions.
Understanding social complexity within the wildland urban interface: A new species of human habitation? Environmental Management

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Travis B. Paveglio; Pamela J. Jakes; Matthew S. Carroll; Daniel R. Williams

2009-01-01

The lack of knowledge regarding social diversity in the Wildland Urban Interface (WUI) or an in-depth understanding of the ways people living there interact to address common problems is concerning, perhaps even dangerous, given that community action is necessary for successful wildland fire preparedness and natural resource management activities. In this article, we...
Infants' Developing Understanding of Social Gaze

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Beier, Jonathan S.; Spelke, Elizabeth S.

2012-01-01

Young infants are sensitive to self-directed social actions, but do they appreciate the intentional, target-directed nature of such behaviors? The authors addressed this question by investigating infants' understanding of social gaze in third-party interactions (N = 104). Ten-month-old infants discriminated between 2 people in mutual versus…
Social complexity parallels vocal complexity: a comparison of three non-human primate species.

Science.gov (United States)

Bouchet, Hélène; Blois-Heulin, Catherine; Lemasson, Alban

2013-01-01

Social factors play a key role in the structuring of vocal repertoires at the individual level, notably in non-human primates. Some authors suggested that, at the species level too, social life may have driven the evolution of communicative complexity, but this has rarely been empirically tested. Here, we use a comparative approach to address this issue. We investigated vocal variability, at both the call type and the repertoire levels, in three forest-dwelling species of Cercopithecinae presenting striking differences in their social systems, in terms of social organization as well as social structure. We collected female call recordings from twelve De Brazza's monkeys (Cercopithecus neglectus), six Campbell's monkeys (Cercopithecus campbelli) and seven red-capped mangabeys (Cercocebus torquatus) housed in similar conditions. First, we noted that the level of acoustic variability and individual distinctiveness found in several call types was related to their importance in social functioning. Contact calls, essential to intra-group cohesion, were the most individually distinctive regardless of the species, while threat calls were more structurally variable in mangabeys, the most "despotic" of our three species. Second, we found a parallel between the degree of complexity of the species' social structure and the size, diversity, and usage of its vocal repertoire. Mangabeys (most complex social structure) called twice as often as guenons and displayed the largest and most complex repertoire. De Brazza's monkeys (simplest social structure) displayed the smallest and simplest repertoire. Campbell's monkeys displayed an intermediate pattern. Providing evidence of higher levels of vocal variability in species presenting a more complex social system, our results are in line with the theory of a social-vocal coevolution of communicative abilities, opening new perspectives for comparative research on the evolution of communication systems in different animal taxa.
Parental Understanding of Tuberous Sclerosis Complex.

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Samia, Pauline; Donald, Kirsten A; Schlegel, Birgit; Wilmshurst, Jo M

2015-09-01

Tuberous sclerosis complex is a genetic disorder with multisystem involvement that poses significant challenges to the affected child and family. Caregiver knowledge in the South African population has not previously been reported. A prospective study of the parents of 21 children with tuberous sclerosis complex was undertaken. Median parental age was 38 (interquartile range 34.5-45) years. Parents were randomly allocated to receive written information about the condition, or to receive verbal counseling already established in clinic. A significant difference (P = .001) was observed in the change in the mean knowledge scores for the parent group that received written information (34.2 at baseline, 51.7 at the second visit. This impact was higher in parents with an education level of at least grade 8 (P = .003). Parental understanding of tuberous sclerosis complex can be improved by provision of written information and should be routinely available in a readily understandable format. © The Author(s) 2014.
Social Motor Synchronization: Insights for Understanding Social Behavior in Autism.

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Fitzpatrick, Paula; Romero, Veronica; Amaral, Joseph L; Duncan, Amie; Barnard, Holly; Richardson, Michael J; Schmidt, R C

2017-07-01

Impairments in social interaction and communication are critical features of ASD but the underlying processes are poorly understood. An under-explored area is the social motor synchronization that happens when we coordinate our bodies with others. Here, we explored the relationships between dynamical measures of social motor synchronization and assessments of ASD traits. We found (a) spontaneous social motor synchronization was associated with responding to joint attention, cooperation, and theory of mind while intentional social motor synchronization was associated with initiating joint attention and theory of mind; and (b) social motor synchronization was associated with ASD severity but not fully explained by motor problems. Findings suggest that objective measures of social motor synchronization may provide insights into understanding ASD traits.
Socialization, Language, and Scenic Understanding

DEFF Research Database (Denmark)

Olesen, Henning Salling; Weber, Kirsten

2012-01-01

resumida brevemente, enfatizando el rol de los argumentos del investigador en descubrir el significado socialmente inconsciente en la interacción social. Finalmente, una mirada a los problemas epistemológicos contemporáneos. El enfoque de LORENZER para teorizar e investigar al sujeto como una entidad......The article is a guided tour to Alfred LORENZER's proposal for an "in-depth hermeneutic" cultural analysis methodology which was launched in an environment with an almost complete split between social sciences and psychology/psychoanalysis. It presents the background in his materialist...... socialization theory, which combines a social reinterpretation of the core insights in classical psychoanalysis—the unconscious, the drives—with a theory of language acquisition. His methodology is based on a transformation of the "scenic understanding" from a clinical to a text interpretation, which seeks...
Bidirectional selection between two classes in complex social networks.

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Zhou, Bin; He, Zhe; Jiang, Luo-Luo; Wang, Nian-Xin; Wang, Bing-Hong

2014-12-19

The bidirectional selection between two classes widely emerges in various social lives, such as commercial trading and mate choosing. Until now, the discussions on bidirectional selection in structured human society are quite limited. We demonstrated theoretically that the rate of successfully matching is affected greatly by individuals' neighborhoods in social networks, regardless of the type of networks. Furthermore, it is found that the high average degree of networks contributes to increasing rates of successful matches. The matching performance in different types of networks has been quantitatively investigated, revealing that the small-world networks reinforces the matching rate more than scale-free networks at given average degree. In addition, our analysis is consistent with the modeling result, which provides the theoretical understanding of underlying mechanisms of matching in complex networks.
Social aggravation: Understanding the complex role of social relationships on stress and health-relevant physiology.

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Birmingham, Wendy C; Holt-Lunstad, Julianne

2018-04-05

There is a rich literature on social support and physical health, but research has focused primarily on the protective effects of social relationship. The stress buffering model asserts that relationships may be protective by being a source of support when coping with stress, thereby blunting health relevant physiological responses. Research also indicates relationships can be a source of stress, also influencing health. In other words, the social buffering influence may have a counterpart, a social aggravating influence that has an opposite or opposing effect. Drawing upon existing conceptual models, we expand these to delineate how social relationships may influence stress processes and ultimately health. This review summarizes the existing literature that points to the potential deleterious physiological effects of our relationships when they are sources of stress or exacerbate stress. Copyright © 2018 Elsevier B.V. All rights reserved.
Boot Camp for Occupational Health Nurses: Understanding Social Media.

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Wolf, Debra M; Olszewski, Kimberly

2015-08-01

Social media is a buzzword frequently referred to in marketing materials, general media, and personal conversations. Although many refer to the term social media, some individuals do not understand its meaning or how it affects their daily lives at work and home. Since the expansion of the Internet to web 2.0, multiple platforms of communication occur virtually through various social media. Understanding and learning how to use these platforms are essential to stay connected with friends, family, and colleagues; advance connections to professional organizations; and extend educational opportunities. This article presents basic information for occupational health nurses to improve their understanding of social media and how to communicate virtually using different platforms safely and securely. © 2015 The Author(s).
Understanding Complex Construction Systems Through Modularity

DEFF Research Database (Denmark)

Jensen, Tor Clarke; Bekdik, Baris; Thuesen, Christian

2014-01-01

This paper develops a framework for understanding complexity in construction projects by combining theories of complexity management and modularization. The framework incorporates three dimensions of product, process, and organizational modularity with the case of gypsum wall elements. The analysis...... system, rather than a modular, although the industry forces modular organizational structures. This creates a high complexity degree caused by the non-alignment of building parts and organizations and the frequent swapping of modules....... finds that the main driver of complexity is the fragmentation of the design and production, which causes the production modules to construct and install new product types and variants for each project as the designers are swapped for every project. The many interfaces are characteristics of an integral...
Mother-Child Conversation and Children's Social Understanding During Middle Childhood.

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Pearson, RaeAnne M; Pillow, Bradford H

2016-01-01

The authors investigated the relationship between mother-child conversation and children's social understanding during middle childhood. Thirty-eight mother-child pairs participated, including a younger group (5-7 years old) and an older group (8-10 years old). Children completed 2 measures of social understanding and mothers and children discussed 4 stories involving social dilemmas. Results indicated that compared to the younger group, the older group (a) performed better on both measures of social understanding and (b) produced more basic mental talk (i.e., talk about beliefs, emotions, personality traits, and desires), and more advanced mental talk (i.e., talk about contrasting perspectives, recursion and relationship between mental states, and advanced emotions). Mothers of older children also produced more basic and advanced mental talk. Mothers' advanced mental talk predicted both children's social understanding and children's advanced mental talk.
Understanding complex urban systems multidisciplinary approaches to modeling

CERN Document Server

Gurr, Jens; Schmidt, J

2014-01-01

Understanding Complex Urban Systems takes as its point of departure the insight that the challenges of global urbanization and the complexity of urban systems cannot be understood – let alone ‘managed’ – by sectoral and disciplinary approaches alone. But while there has recently been significant progress in broadening and refining the methodologies for the quantitative modeling of complex urban systems, in deepening the theoretical understanding of cities as complex systems, or in illuminating the implications for urban planning, there is still a lack of well-founded conceptual thinking on the methodological foundations and the strategies of modeling urban complexity across the disciplines. Bringing together experts from the fields of urban and spatial planning, ecology, urban geography, real estate analysis, organizational cybernetics, stochastic optimization, and literary studies, as well as specialists in various systems approaches and in transdisciplinary methodologies of urban analysis, the volum...
Complexity explained

CERN Document Server

Erdi, Peter

2008-01-01

This book explains why complex systems research is important in understanding the structure, function and dynamics of complex natural and social phenomena. Readers will learn the basic concepts and methods of complex system research.
Understanding and Treating Social Phobia

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Curtis, Russell C.; Kimball, Amy; Stroup, Erin L.

2004-01-01

Social phobia, a relatively obscure disorder, is receiving increased attention due to evidence suggesting that it is more prevalent and debilitative than once thought. The purpose of this article is to help counselors better understand the nature of and treatments for this disorder. Effective behavioral and pharmacological approaches are reviewed,…
Understanding the psychology of bullying: Moving toward a social-ecological diathesis-stress model.

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Swearer, Susan M; Hymel, Shelley

2015-01-01

With growing recognition that bullying is a complex phenomenon, influenced by multiple factors, research findings to date have been understood within a social-ecological framework. Consistent with this model, we review research on the known correlates and contributing factors in bullying/victimization within the individual, family, peer group, school and community. Recognizing the fluid and dynamic nature of involvement in bullying, we then expand on this model and consider research on the consequences of bullying involvement, as either victim or bully or both, and propose a social-ecological, diathesis-stress model for understanding the bullying dynamic and its impact. Specifically, we frame involvement in bullying as a stressful life event for both children who bully and those who are victimized, serving as a catalyst for a diathesis-stress connection between bullying, victimization, and psychosocial difficulties. Against this backdrop, we suggest that effective bullying prevention and intervention efforts must take into account the complexities of the human experience, addressing both individual characteristics and history of involvement in bullying, risk and protective factors, and the contexts in which bullying occurs, in order to promote healthier social relationships. (c) 2015 APA, all rights reserved).
Atomism and holism in the understanding of society and social systems

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D.F.M. Strauss

2008-07-01

Full Text Available Throughout its history, reflection on human society has been torn apart by the opposing views of atomism and holism. Traditional societies, the city state of ancient Greece as well as the medieval perfect society apparently resemble a whole with its parts. Early modernity continued this holistic inclination for a while, but soon reverted to atomistic theories of the (hypothetical social contract. Modern humanism dominated the subsequent views articulated in terms of the dialectical tension between nature and freedom (science ideal and personality ideal – including mechanistic and vitalistic approaches as well as the more recent acknowledgment of irreducibly complex systems (Behe, 2003. In Wiener’s (1954; 1956 “technologicism” human responsibility and freedom are sacrificed. An alternative view is advanced in terms of the normativity of societal life as well as its many-sidedness. It is shown that theories of social systems increasingly tend to explore avenues transcending the limitations of the atomistic additive approach and the boundary-leveling whole-parts scheme entailed in social systems theory. This development is used as a starting point for the classification of social interaction and for underscoring the scope of the principle of sphere-sovereignty for a multidisciplinary understanding of social systems.

Social Studies Student Teachers' Levels of Understanding Sociology Concepts within Social Studies Curriculum

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Karatekin, Kadir

2013-01-01

This study aims at investigating social studies student teachers' levels of understanding sociology concepts within social studies curriculum. Study group of the research consists of 266 teacher candidates attending the Department of Social Studies, Faculty of Education, Kastamonu University during 2012 to 2013 education year. A semi-structured…
Thinking Socially: Teaching Social Knowledge to Foster Social Behavioral Change

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Crooke, Pamela J.; Winner, Michelle Garcia; Olswang, Lesley B.

2016-01-01

This article addresses the complexity of what it means to "be social" from the perspective of social thinking. This perspective recognizes social cognitive processing abilities as the foundation for social knowledge and, in turn, social behaviors. The article further describes variables that influence how one understands how to do what…
Social understanding of high-ability children in middle and late childhood

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Boor-Klip, H.J.; Cillessen, A.H.N.; Hell, J.G. van

2014-01-01

Despite its importance in social development, social understanding has hardly been studied in high-ability children. This study explores differences in social understanding between children in high-ability and regular classrooms, specifically theory of mind (ToM) and perception accuracy, as well as
Neuroanthropological Understanding of Complex Cognition – Numerosity and Arithmetics

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Zarja Mursic

2013-10-01

Full Text Available Humankind has a long evolutionary history. When we are trying to understand human complex cognition, it is as well important to look back to entire evolution. I will present the thesis that our biological predispositions and culture, together with natural and social environment, are tightly connected. During ontogenetically development we are shaped by various factors, and they enabled humans to develop some aspects of complex cognition, such as mathematics.In the beginning of the article I present the importance of natural and cultural evolution in other animals. In the following part, I briefly examine the field of mathematics – numerosity and arithmetic. Presentation of comparative animal studies, mainly made on primates, provides some interesting examples in animals’ abilities to separate between different quantities. From abilities for numerosity in animals I continue to neuroscientific studies of humans and our ability to solve simple arithmetic tasks. I also mention cross-cultural studies of arithmetic skills. In the final part of the text I present the field neuroanthropology as a possible new pillar of cognitive science. Finally, it is important to connect human evolution and development with animal cognition studies, but as well with cross-cultural studies in shaping of human ability for numerosity and arithmetic.
SUPERCOMPUTER SIMULATION OF CRITICAL PHENOMENA IN COMPLEX SOCIAL SYSTEMS

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Petrus M.A. Sloot

2014-09-01

Full Text Available The paper describes a problem of computer simulation of critical phenomena in complex social systems on a petascale computing systems in frames of complex networks approach. The three-layer system of nested models of complex networks is proposed including aggregated analytical model to identify critical phenomena, detailed model of individualized network dynamics and model to adjust a topological structure of a complex network. The scalable parallel algorithm covering all layers of complex networks simulation is proposed. Performance of the algorithm is studied on different supercomputing systems. The issues of software and information infrastructure of complex networks simulation are discussed including organization of distributed calculations, crawling the data in social networks and results visualization. The applications of developed methods and technologies are considered including simulation of criminal networks disruption, fast rumors spreading in social networks, evolution of financial networks and epidemics spreading.
Social Understanding of High-Ability Children in Middle and Late Childhood

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Boor-Klip, Henrike J.; Cillessen, Antonius H. N.; van Hell, Janet G.

2014-01-01

Despite its importance in social development, social understanding has hardly been studied in high-ability children. This study explores differences in social understanding between children in high-ability and regular classrooms, specifically theory of mind (ToM) and perception accuracy, as well as associations between individual characteristics…
Beyond folk psychology? : toward an enriched account of social understanding

OpenAIRE

Herschbach, Mitchell Albert

2010-01-01

Folk psychology is the ability to interpret people's mental states (beliefs, desires, etc.) and use this information to explain and predict their behavior. While folk psychology has traditionally been seen as fundamental to human social understanding, philosophers drawing on the phenomenological tradition have recently argued that most of our everyday social interactions do not involve folk psychology. I defend the role of folk psychology in human social understanding against these phenomenol...
STUDY OF SECONDARY SCHOOL SOCIAL STUDIES TEACHER UNDERSTANDING ABOUT GEOGRAPHY LITERATION

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Sugiyanto Sugiyanto

2017-12-01

Full Text Available This study aims to: (1 know the teacher's understanding about the concept of Geography as a platform in Social Studies learning; (2 know the teacher's understanding about geography literacy as a platform in Social Studies learning; and (3 study the right literacy concept as platform for Social Studies lesson. This research uses survey method. The subjects of the study were Social Studies teachers in Surakarta City. Sampling using startified random sampling. The results showed: 1 76% of respondents do not understand about Geography as a platform in Social Studies learning; 2 80% of respondents have not understood geography literacy; 3 Edelson's geography literature which consist of interaction, interconnection, and implication components can be used as an alternative to the implementation of Geography policy as a Platform in Social Studies.
Understanding the interactions between Social Capital, climate change, and community resilience in Gulf of Mexico coastal counties

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Young, C.; Blomberg, B.; Kolker, A.; Nguyen, U.; Page, C. M.; Sherchan, S. P.; Tobias, V. D.; Wu, H.

2017-12-01

Coastal communities in the Gulf of Mexico are facing new and complex challenges as their physical environment is altered by climate warming and sea level rise. To effectively prepare for environmental changes, coastal communities must build resilience in both physical structures and social structures. One measure of social structure resilience is how much social capital a community possesses. Social capital is defined as the connections among individuals which result in networks with shared norms, values and understandings that facilitate cooperation within or among groups. Social capital exists in three levels; bonding, bridging and linking. Bonding social capital is a measure of the strength of relationships amongst members of a network who are similar in some form. Bridging social capital is a measure of relationships amongst people who are dissimilar in some way, such as age, education, or race/ethnicity. Finally Linking social capital measures the extent to which individuals build relationships with institutions and individuals who have relative power over them (e.g local government, educational institutions). Using census and American Community Survey data, we calculated a Social Capital index value for bonding, bridging and linking for 60 Gulf of Mexico coastal counties for the years 2000, and 2010 to 2015. To investigate the impact of social capital on community resilience we coupled social capital index values with physical datasets of land-use/land cover, sea level change, climate, elevation and surface water quality for each coastal county in each year. Preliminary results indicate that in Gulf of Mexico coastal counties, increased bonding social capital results in decreased population change. In addition, we observed a multi-year time lag in the effect of increased bridging social capital on population stability, potentially suggesting key linkages between the physical and social environment in this complex coupled-natural human system. This
Using Social Media Sentiment Analysis to Understand Audiences

DEFF Research Database (Denmark)

McGuire, Mark; Kampf, Constance Elizabeth

2015-01-01

approach for contextually understanding social media posts. The human interaction step in ad-hoc corpus analysis is central to this methodology as it provides a means to ask critical questions of the content curated through the ad-hoc corpus directly. Results of ad-hoc corpus analysis from this critical......Social media communication is changing the opportunities for technical communicators to really understand audiences when these audiences are active about issues on social media platforms. Through applying ad-hoc corpus building processes to create word lists relevant to specific organizational...... projects, technical communicators can listen to their external users and identify areas of importance with greater accuracy. While other methods of sentiment analysis look for a solution that leads to artificial intelligence in the program, this paper identifies the present needs of a human interaction...
Understanding Self-Effects in Social Media

NARCIS (Netherlands)

Valkenburg, P.M.

2017-01-01

The aim of this article is to improve understanding of self-effects in social media, and to compare self-effects with reception effects. Self-effects are the effects of messages the cognitions, emotions, attitudes, and behaviors of the message creators/senders themselves. A total of 4 theories have
Understanding Learner Agency as a Complex Dynamic System

Science.gov (United States)

Mercer, Sarah

2011-01-01

This paper attempts to contribute to a fuller understanding of the nature of language learner agency by considering it as a complex dynamic system. The purpose of the study was to explore detailed situated data to examine to what extent it is feasible to view learner agency through the lens of complexity theory. Data were generated through a…
Understanding the social dimension of knowledge through complex network analysis

NARCIS (Netherlands)

Mas Tur, E.M.

2016-01-01

This thesis presents five studies on the social dimension of knowledge, with a focus on its creation and diffusion processes. Broadly speaking, the creation and diffusion of knowledge are phenomena inherent to human society as a whole. In this sense, the results of the works in this thesis can be
Corporate Social Responsibility and Corporate Social Innovation: A Conceptual Understanding

Directory of Open Access Journals (Sweden)

Jali Muhamad Nizam

2017-01-01

Full Text Available In decades, various organizations worldwide engaged with Corporate Social Responsibility (CSR in order to show their corporate commitments and responsibilities towards societies at large. These commitments and responsibilities are coming from monetary and non-monetary resources for example cash, equipment’s and human resources whom are used for social purposes and activities that leads to a betterment of society and also to improved organization reputation. However, in today’s knowledge and innovation led economy, organizations can no longer affords to get involve in charity and community services merely to fulfil social return without having any sort of economic payoffs. This situation warrants organizations moving beyond CSR to Corporate Social Innovation. This paper explores conceptual understanding between CSR and Corporate Social Innovation. CSR is a traditional philanthropy and old paradigm which is somewhat no longer sufficient in coping with current economic situation. Hence, this paper provides an insight and suggests that corporate social innovation as an emergence new paradigm that perhaps could provide a comprehensive representation in the era of knowledge and innovation led economy that will leads to real change in improving the well-being of people’s life, enhance economic and technological growth. Furthermore, this paper also highlighted knowledge resource is the most significant resource of Corporate Social Innovation.
Understanding cities as social-ecological systems

CSIR Research Space (South Africa)

Du Plessis, C

2008-09-01

Full Text Available This paper builds on earlier ecological approaches to urban development, as well as more recent thinking in the fields of sustainability science, resilience thinking and complexity theory, to propose a conceptual framework for understanding cities...
A Social Identity Approach to Understanding and Promoting Physical Activity.

Science.gov (United States)

Stevens, Mark; Rees, Tim; Coffee, Pete; Steffens, Niklas K; Haslam, S Alexander; Polman, Remco

2017-10-01

Against the backdrop of a global physical inactivity crisis, attempts to both understand and positively influence physical activity behaviours are characterized by a focus on individual-level factors (e.g. cognitions, attitudes, motivation). We outline a new perspective, drawn from an emerging body of work exploring the applicability of social identity and self-categorization theories to domains of sport and health, from which to understand and address this pervasive problem. This social identity approach suggests that the groups to which people belong can be, and often are, incorporated into their sense of self and, through this, are powerful determinants of physical activity-related behaviour. We start by reviewing the current state of physical activity research and highlighting the potential for the social identity approach to help understand how social factors influence these behaviours. Next, we outline the theoretical underpinnings of the social identity approach and provide three key examples that speak to the analytical and practical value of the social identity approach in physical activity settings. Specifically, we argue that social identity (1) can be harnessed to promote engagement in physical activity, (2) underpins exercise group behaviour, and (3) underpins effective leadership in exercise settings. We conclude by identifying prospects for a range of theory-informed research developments.
Balancing the Quantitative and Qualitative Aspects of Social Network Analysis to Study Complex Social Systems

OpenAIRE

Schipper, Danny; Spekkink, Wouter

2015-01-01

Social Network Analysis (SNA) can be used to investigate complex social systems. SNA is typically applied as a quantitative method, which has important limitations. First, quantitative methods are capable of capturing the form of relationships (e.g. strength and frequency), but they are less suitable for capturing the content of relationships (e.g. interests and motivations). Second, while complex social systems are highly dynamic, the representations that SNA creates of such systems are ofte...
Understanding Citizenship, Understanding Social Media? The effects of digital media on citizenship understanding and political participation

DEFF Research Database (Denmark)

Ohme, Jakob; Albæk, Erik

Is there a connection between increased use of digital media and changing patterns of political participation? This study tests how use of online media for different purposes (social interaction, creative expression, online news use, social media news use) is related to three types of political...... participation. It examines whether mobilizing effects are partly indirect due to different understandings of citizenship (dutiful, optional, individual, collective) that may be fostered by digital media use. The study is based on a survey of a sample of the Danish population (n=1322), including data from two...... online survey waves and a smartphone-based media diary that documents respondents’ social media use. Results indicate support for a new pathway to participation, but the relationship depends on whether citizens are socialized in a digital media environment....
Complex social housing reduces food neophobia in dairy calves.

Science.gov (United States)

Costa, J H C; Daros, R R; von Keyserlingk, M A G; Weary, D M

2014-12-01

Animals are often reluctant to consume novel feeds. Research suggests that social housing can reduce fearfulness in animals. The aim of this study was to test the prediction that social housing reduces food neophobia in dairy calves. Beginning immediately at birth, Holstein bull calves were either reared individually (n=18) or in a complex social group with other calves and cows (n=18). In food neophobia tests, calves were exposed to 2 identical buckets, one empty and the other filled with a novel food (chopped hay in trial 1 and chopped carrots in trial 2). Calves were tested for 30 min/d on 3 consecutive days starting at 70 d of age. Regardless of the type of food, socially housed calves consumed more of the novel feed compared with individually housed calves. In trial 1, intake of hay as fed averaged 35 ± 6 versus 18 ± 6 g/d for socially versus individually housed calves. In trial 2, intake of chopped carrots as fed averaged 27 ± 6 versus 6 ± 6 g/d for socially versus individually housed calves, respectively. Social rearing decreased the latency to eat the novel feed. Calves housed in a complex social group began eating the hay after 1:23 ± 1:13 versus 3:58 ± 1:10 min:s for individually housed calves. Latency to begin eating the chopped carrots averaged 3:09 ± 1:17 versus 6:38 ± 1:13 min:s for socially versus individually housed calves. Treatment had no effect on time spent eating, latency to approach the food bucket or the empty bucket in either trial, or on time spent manipulating the empty bucket. These results indicate that housing dairy calves in a complex social group reduces food neophobia. More generally, this study contributes to a series of studies showing that calves raised in more complex social environments may be better able to transition to other changes in their environment. Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.
Understanding and effectively addressing breast cancer in African American women: Unpacking the social context.

Science.gov (United States)

Williams, David R; Mohammed, Selina A; Shields, Alexandra E

2016-07-15

Black women have a higher incidence of breast cancer before the age of 40 years, more severe disease at all ages, and an elevated mortality risk in comparison with white women. There is limited understanding of the contribution of social factors to these patterns. Elucidating the role of the social determinants of health in breast cancer disparities requires greater attention to how risk factors for breast cancer unfold over the lifecourse and to the complex ways in which socioeconomic status and racism shape exposure to psychosocial, physical, chemical, and other individual and community-level assaults that increase the risk of breast cancer. Research that takes seriously the social context in which black women live is also needed to maximize the opportunities to prevent breast cancer in this underserved group. Cancer 2016;122:2138-49. © 2016 American Cancer Society. © 2016 American Cancer Society.

Relations Between Nonverbal and Verbal Social Cognitive Skills and Complex Social Behavior in Children and Adolescents with Autism.

Science.gov (United States)

Demopoulos, Carly; Hopkins, Joyce; Lewine, Jeffrey D

2016-07-01

Although there is an extensive literature on domains of social skill deficits in individuals with Autism Spectrum Disorders (ASD), little research has examined the relation between specific social cognitive skills and complex social behaviors in daily functioning. This was the aim of the present study. Participants were 37 (26 male and 11 female) children and adolescents aged 6-18 years diagnosed with ASD. To determine the amount of variance in parent-rated complex social behavior accounted for by the linear combination of five directly-assessed social cognitive variables (i.e., adult and child facial and vocal affect recognition and social judgment) after controlling for general intellectual ability, a hierarchical regression analysis was performed. The linear combination of variables accounted for 35.4 % of the variance in parent-rated complex social behavior. Vocal affect recognition in adult voices showed the strongest association with complex social behavior in ASD. Results suggest that assessment and training in vocal affective comprehension should be an important component of social skills interventions for individuals with ASD.
An agent-based simulation of persistent inequalities in health behavior: Understanding the interdependent roles of segregation, clustering, and social influence

Directory of Open Access Journals (Sweden)

Brent A. Langellier

2016-12-01

Full Text Available Health inequalities are conspicuously persistent through time and often durable even in spite of interventions. In this study, I use agent-based simulation models (ABMs to understand how the complex interrelationships between residential segregation, social network formation, group-level preferences, and social influence may contribute to this persistence. I use a more-stylized ABM, Bubblegum Village (BV, to understand how initial inequalities in bubblegum-chewing behaviors either endure, increase, or decrease over time given group-level differences in preferences, neighborhood-level barriers or facilitators of bubblegum chewing (e.g., access to bubblegum shops, and agents’ preferences for segregation, homophily, and clustering (i.e., the ‘tightness’ of social networks. I further use BV to understand whether segregation and social network characteristics impact whether the effects of a bubblegum-reduction intervention that is very effective in the short term are durable over time, as well as to identify intervention strategies to reduce attenuation of the intervention effects. In addition to BV, I also present results from an ABM based on the distribution and social characteristics of the population in Philadelphia, PA. This model explores similar questions to BV, but examines racial/ethnic inequalities in soda consumption based on agents’ social characteristics and baseline soda consumption probabilities informed by the 2007–2010 National Health and Nutrition Examination Survey. Collectively, the models suggest that residential segregation is a fundamental process for the production and persistence of health inequalities. The other major conclusion of the study is that, for behaviors that are subject to social influence and that cluster within social groups, interventions that are randomly-targeted to individuals with ‘bad’ behaviors will likely experience a large degree of recidivism to pre-intervention behaviors. In contrast
Understanding Social Business

DEFF Research Database (Denmark)

Vatrapu, Ravi

2013-01-01

“Social business” refers to the utilization of online social channels to conduct business. This chapter situates the notion of social business in the relevant macro trends in technology, business, and society and discusses the three critical aspects of social business: social business engagement......, social media analytics, and social media management. Social media engagement concerns the organization’s strategic use of social media channels to interact with its internal and external stakeholders for purposes ranging from knowledge management to corporate social responsibility and marketing. Social...... media analytics refers to the collection, storage, analysis, and reporting of social data emanating from the social media engagement of and social media conversations about the organization. Social media management focusses on the operational issues, managerial challenges, and comparative advantages...
How to understand architectural quality when working with social housing areas

DEFF Research Database (Denmark)

Jensen, Kirstine Brøgger

2015-01-01

This paper debates how to understand architectural quality when working with social housing areas. The concept is discussed through three approaches: 1) Social housing is debated in relation to societal and historical contributions. 2) Well known definitions (from the old-timer Vitruvius...... to the current sustainability agenda) are outlined according to their pros´n cons when working with social housing areas. 3) On the ground of interviews with practitioners the everyday use and understanding of the concept is scrutinized In this vein the paper agitates that architectural quality in social housing...
Predation risk drives social complexity in cooperative breeders

NARCIS (Netherlands)

Groenewoud, Frank; Frommen, Joachim Gerhard; Josi, Dario; Tanaka, Hirokazu; Jungwirth, Arne; Taborsky, Michael

2016-01-01

Predation risk is a major ecological factor selecting for group living. It is largely ignored, however, as an evolutionary driver of social complexity and cooperative breeding, which is attributed mainly to a combination of habitat saturation and enhanced relatedness levels. Social cichlids neither
A Conceptual Understanding of Organizational Identity in the Social Media Environment

OpenAIRE

Jimmy Young

2013-01-01

Nonprofit organizations have increasingly adopted the use of social media over the last several years. This presents a myriad of challenges and opportunities in regards to organizational identity. This paper provides a conceptual understanding of identity as an entry point for nonprofit organizations to deliberate their own use of social media and the relative impact on organizational identity. A theoretical understanding of the formation of social identity situates the development of organiz...
A Cognition-based View of Decision Processes in Complex Social-Ecological Systems

Directory of Open Access Journals (Sweden)

Kathi K. Beratan

2007-06-01

Full Text Available This synthesis paper is intended to provide an overview of individual and collective decision-making processes that might serve as a theoretical foundation for a complexity-based approach to environmental policy design and natural resource management planning. Human activities are the primary drivers of change in the Earth's biosphere today, so efforts to shift the trajectory of social-ecological systems must focus on changes in individual and collective human behavior. Recent advances in understanding the biological basis of thought and memory offer insights of use in designing management and planning processes. The human brain has evolved ways of dealing with complexity and uncertainty, and is particularly attuned to social information. Changes in an individual's schemas, reflecting changes in the patterns of neural connections that are activated by particular stimuli, occur primarily through nonconsious processes in response to experiential learning during repeated exposure to novel situations, ideas, and relationships. Discourse is an important mechanism for schema modification, and thus for behavior change. Through discourse, groups of people construct a shared story - a collective model - that is useful for predicting likely outcomes of actions and events. In effect, good stories are models that filter and organize distributed knowledge about complex situations and relationships in ways that are readily absorbed by human cognitive processes. The importance of discourse supports the view that collaborative approaches are needed to effectively deal with environmental problems and natural resource management challenges. Methods derived from the field of mediation and dispute resolution can help us take advantage of the distinctly human ability to deal with complexity and uncertainty. This cognitive view of decision making supports fundamental elements of resilience management and adaptive co-management, including fostering social learning
How can the study of action kinematics inform our understanding of human social interaction?

Science.gov (United States)

Krishnan-Barman, Sujatha; Forbes, Paul A G; Hamilton, Antonia F de C

2017-10-01

The kinematics of human actions are influenced by the social context in which they are performed. Motion-capture technology has allowed researchers to build up a detailed and complex picture of how action kinematics vary across different social contexts. Here we review three task domains-point-to-point imitation tasks, motor interference tasks and reach-to-grasp tasks-to critically evaluate how these tasks can inform our understanding of social interactions. First, we consider how actions within these task domains are performed in a non-social context, before highlighting how a plethora of social cues can perturb the baseline kinematics. We show that there is considerable overlap in the findings from these different tasks domains but also highlight the inconsistencies in the literature and the possible reasons for this. Specifically, we draw attention to the pitfalls of dealing with rich, kinematic data. As a way to avoid these pitfalls, we call for greater standardisation and clarity in the reporting of kinematic measures and suggest the field would benefit from a move towards more naturalistic tasks. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.
Understanding the process of social network evolution: Online-offline integrated analysis of social tie formation.

Science.gov (United States)

Kwak, Doyeon; Kim, Wonjoon

2017-01-01

It is important to consider the interweaving nature of online and offline social networks when we examine social network evolution. However, it is difficult to find any research that examines the process of social tie formation from an integrated perspective. In our study, we quantitatively measure offline interactions and examine the corresponding evolution of online social network in order to understand the significance of interrelationship between online and offline social factors in generating social ties. We analyze the radio signal strength indicator sensor data from a series of social events to understand offline interactions among the participants and measure the structural attributes of their existing online Facebook social networks. By monitoring the changes in their online social networks before and after offline interactions in a series of social events, we verify that the ability to develop an offline interaction into an online friendship is tied to the number of social connections that participants previously had, while the presence of shared mutual friends between a pair of participants disrupts potential new connections within the pre-designed offline social events. Thus, while our integrative approach enables us to confirm the theory of preferential attachment in the process of network formation, the common neighbor theory is not supported. Our dual-dimensional network analysis allows us to observe the actual process of social network evolution rather than to make predictions based on the assumption of self-organizing networks.
Understanding the process of social network evolution: Online-offline integrated analysis of social tie formation.

Directory of Open Access Journals (Sweden)

Doyeon Kwak

Full Text Available It is important to consider the interweaving nature of online and offline social networks when we examine social network evolution. However, it is difficult to find any research that examines the process of social tie formation from an integrated perspective. In our study, we quantitatively measure offline interactions and examine the corresponding evolution of online social network in order to understand the significance of interrelationship between online and offline social factors in generating social ties. We analyze the radio signal strength indicator sensor data from a series of social events to understand offline interactions among the participants and measure the structural attributes of their existing online Facebook social networks. By monitoring the changes in their online social networks before and after offline interactions in a series of social events, we verify that the ability to develop an offline interaction into an online friendship is tied to the number of social connections that participants previously had, while the presence of shared mutual friends between a pair of participants disrupts potential new connections within the pre-designed offline social events. Thus, while our integrative approach enables us to confirm the theory of preferential attachment in the process of network formation, the common neighbor theory is not supported. Our dual-dimensional network analysis allows us to observe the actual process of social network evolution rather than to make predictions based on the assumption of self-organizing networks.
A riot on campus: The effects of social identity complexity on emotions and reparative attitudes after ingroup-perpetrated violence.

Science.gov (United States)

Costabile, Kristi A; Austin, Adrienne B

2018-01-01

When a group commits a transgression, members who identify closely with the group often engage in defensive strategies in which they are less likely to experience guilt and shame in response to the transgression than are less identified group members. Subsequently, highly identified group members are often less willing to offer reparations to the injured parties. Because appropriate emotional responses and reparations are critical to community reconciliation, the present investigation examined whether social identity complexity-the degree to which individuals perceive their multiple social identities as interrelated-reduced these defensive responses. In the aftermath of a campus riot, emotional responses and reparative attitudes of undergraduate students were assessed. Results indicated that individuals who closely identified with the university were in fact capable of experiencing guilt and shame, but only if they also had complex social identities. A path model indicated that emotional responses, in turn, predicted willingness to provide reparations to the campus community. Accordingly, social identity complexity provides a new approach to understanding responses to ingroup-perpetrated violence. © 2017 Wiley Periodicals, Inc.
Brain architecture and social complexity in modern and ancient birds.

Science.gov (United States)

Burish, Mark J; Kueh, Hao Yuan; Wang, Samuel S-H

2004-01-01

Vertebrate brains vary tremendously in size, but differences in form are more subtle. To bring out functional contrasts that are independent of absolute size, we have normalized brain component sizes to whole brain volume. The set of such volume fractions is the cerebrotype of a species. Using this approach in mammals we previously identified specific associations between cerebrotype and behavioral specializations. Among primates, cerebrotypes are linked principally to enlargement of the cerebral cortex and are associated with increases in the complexity of social structure. Here we extend this analysis to include a second major vertebrate group, the birds. In birds the telencephalic volume fraction is strongly correlated with social complexity. This correlation accounts for almost half of the observed variation in telencephalic size, more than any other behavioral specialization examined, including the ability to learn song. A prominent exception to this pattern is owls, which are not social but still have very large forebrains. Interpolating the overall correlation for Archaeopteryx, an ancient bird, suggests that its social complexity was likely to have been on a par with modern domesticated chickens. Telencephalic volume fraction outperforms residuals-based measures of brain size at separating birds by social structure. Telencephalic volume fraction may be an anatomical substrate for social complexity, and perhaps cognitive ability, that can be generalized across a range of vertebrate brains, including dinosaurs. Copyright 2004 S. Karger AG, Basel
Psychologica and social adjustment to blindness: Understanding ...

African Journals Online (AJOL)

Psychologica and social adjustment to blindness: Understanding from two groups of blind people in Ilorin, Nigeria. ... Background: Blindness can cause psychosocial distress leading to maladjustment if not mitigated. Maladjustment is a secondary burden that further reduces quality of life of the blind. Adjustment is often ...
Understanding social media program usage in public transit agencies

OpenAIRE

Jenny H. Liu; Wei Shi; O.A. (Sam) Elrahman; Xuegang (Jeff) Ban; Jack M. Reilly

2016-01-01

Social media has been gaining prominence in public transit agencies in their communication strategies and daily management. This study aims to better understand recent trends in social media usage in public transit agencies, to examine which agencies use what kind of social media programs for what purposes, and how they measure their programs. A survey was conducted of the top transit agencies in the nation, and results are examined through descriptive statistical analysis, correlation analys...
Understanding Situated Social Interactions: A Case Study of Public Places in the City

DEFF Research Database (Denmark)

Paay, Jeni; Kjeldskov, Jesper

2008-01-01

these and their situated interactions. In response, this paper addresses the challenge of informing design of mobile services for fostering social connections by using the concept of place for studying and understanding peoples’ social activities in a public built environment. We present a case study of social experience...... of a physical place providing an understanding of peoples’ situated social interactions in public places of the city derived through a grounded analysis of small groups of friends socialising out on the town. Informed by this, we describe the design and evaluation of a mobile prototype system facilitating......Ubiquitous and mobile computer technologies are increasingly being appropriated to facilitate people’s social life outside the work domain. Designing such social and collaborative technologies requires an understanding of peoples’ physical and social context, and the interplay between...
Understanding the role of social media in online health: A global perspective on online social support

OpenAIRE

Lee, Roderick Lamar; Kvasny, Lynette M.

2013-01-01

Around the globe, people are increasingly using social media for the provision of online social support. Online social support may be especially relevant for parents who have children that are afflicted with rare chronic diseases such as MECP2 Duplication Syndrome. Despite increasing evidence that online social support enhances a person’s psychological well-being, there is little research that seeks to understand how and why various forms of social media facilitate social support. This study ...
Talking about your health to strangers: understanding the use of online social networks by patients

Science.gov (United States)

Colineau, Nathalie; Paris, Cécile

2010-04-01

The internet has become a participatory place where everyone can contribute and interact with others. In health in particular, social media have changed traditional patient-physician relationships. Patients are organising themselves in groups, sharing observations and helping each other, although there is still little evidence of the effectiveness of these online communities on people's health. To understand why and how people use health-related sites, we studied these sites and identified three dimensions characterising most of them: informational/supportive; general/focused; and new relationships/existing ones. We conducted an online survey about the use of health-related social networking (SN) sites and learnt that, consistent with previous research, most patients were seeking information about their medical condition online, while, at the same time, still interacting with health professionals to talk about sensitive information and complex issues. We also found that, while people's natural social network played an important role for emotional support, sometimes, people chose to not involve their family, but instead interact with peers online because of their perceived support and ability to understand someone's experience, and also to maintain a comfortable emotional distance. Finally, our results show that people using general SN sites do not necessarily use health-related sites and vice versa.
A genomic comparison of two termites with different social complexity

DEFF Research Database (Denmark)

Korb, Judith; Thomas-Poulsen, Michael; Hu, Haofu

2015-01-01

large and complex societies with morphologically distinct castes that are life-time sterile. Here we compare key characteristics of genomic architecture, focusing on genes involved in communication, immune defenses, mating biology and symbiosis that were likely important in termite social evolution. We......The termites evolved eusociality and complex societies before the ants, but have been studied much less. The recent publication of the first two termite genomes provides a unique comparative opportunity, particularly because the sequenced termites represent opposite ends of the social complexity...
Understanding Social Entrepreneurship

Science.gov (United States)

Harding, Rebecca

2007-01-01

The importance of social entrepreneurship in social, cultural and economic terms is increasingly acknowledged. Drawing on data from the second Social Entrepreneurship Monitor report published by the Global Entrepreneurship Monitor (GEM) UK project, this article focuses on the social entrepreneurs who may grow the social enterprises of the future.…
Ventromedial prefrontal volume predicts understanding of others and social network size.

Science.gov (United States)

Lewis, Penelope A; Rezaie, Roozbeh; Brown, Rachel; Roberts, Neil; Dunbar, R I M

2011-08-15

Cognitive abilities such as Theory of Mind (ToM), and more generally mentalizing competences, are central to human sociality. Neuroimaging has associated these abilities with specific brain regions including temporo-parietal junction, superior temporal sulcus, frontal pole, and ventromedial prefrontal cortex. Previous studies have shown both that mentalizing competence, indexed as the ability to correctly understand others' belief states, is associated with social network size and that social group size is correlated with frontal lobe volume across primate species (the social brain hypothesis). Given this, we predicted that both mentalizing competences and the number of social relationships a person can maintain simultaneously will be a function of gray matter volume in these regions associated with conventional Theory of Mind. We used voxel-based morphometry of Magnetic Resonance Images (MRIs) to test this hypothesis in humans. Specifically, we regressed individuals' mentalizing competences and social network sizes against gray matter volume. This revealed that gray matter volume in bilateral posterior frontal pole and left temporoparietal junction and superior temporal sucus varies parametrically with mentalizing competence. Furthermore, gray matter volume in the medial orbitofrontal cortex and the ventral portion of medial frontal gyrus, varied parametrically with both mentalizing competence and social network size, demonstrating a shared neural basis for these very different facets of sociality. These findings provide the first fine-grained anatomical support for the social brain hypothesis. As such, they have important implications for our understanding of the constraints limiting social cognition and social network size in humans, as well as for our understanding of how such abilities evolved across primates. Copyright © 2011 Elsevier Inc. All rights reserved.

Increasing process understanding by analyzing complex interactions in experimental data

DEFF Research Database (Denmark)

Naelapaa, Kaisa; Allesø, Morten; Kristensen, Henning Gjelstrup

2009-01-01

understanding of a coating process. It was possible to model the response, that is, the amount of drug released, using both mentioned techniques. However, the ANOVAmodel was difficult to interpret as several interactions between process parameters existed. In contrast to ANOVA, GEMANOVA is especially suited...... for modeling complex interactions and making easily understandable models of these. GEMANOVA modeling allowed a simple visualization of the entire experimental space. Furthermore, information was obtained on how relative changes in the settings of process parameters influence the film quality and thereby drug......There is a recognized need for new approaches to understand unit operations with pharmaceutical relevance. A method for analyzing complex interactions in experimental data is introduced. Higher-order interactions do exist between process parameters, which complicate the interpretation...
Simple reactions to nearby neighbours and complex social behaviour in primates

NARCIS (Netherlands)

Hemelrijk, Charlotte; Menzel, Randolf; Fischer, Julia

Compared to many other animal taxa, the social behavior of primates is generally regarded to be more complex in its patterns and underlying cognition. This complexity has often been overestimated, because the same patterns of social behavior are found in taxa that are supposed to be cognitively less
Understanding Classrooms through Social Network Analysis: A Primer for Social Network Analysis in Education Research

Science.gov (United States)

Grunspan, Daniel Z.; Wiggins, Benjamin L.; Goodreau, Steven M.

2014-01-01

Social interactions between students are a major and underexplored part of undergraduate education. Understanding how learning relationships form in undergraduate classrooms, as well as the impacts these relationships have on learning outcomes, can inform educators in unique ways and improve educational reform. Social network analysis (SNA)…
Complexities of Social Capital in Boards of Directors

DEFF Research Database (Denmark)

Sulinska, Iwona Magdalena

and firm performance. Chapter 3 explores social capital of board chair, which has been overlooked in previous studies. It suggests that individual social capital of board chair is as important for organizational performance as social capital of CEO and directors. Therefore, performance effect derives from...... and external networks of social relationships created by board members. Evolution paths are consequently proposed for diversity and strength of external network ties, and for internal network cohesion. In light of the overarching research question, the final chapter summarizes the findings.......The aim of the dissertation is to disentangle complexities of social capital in boards of directors through proposing new theoretical perspectives and methodological approaches. Although extant previous research has discussed various aspects of social capital and its association with numerous...
Understanding Team Communication Characteristics using Social Network Analysis

International Nuclear Information System (INIS)

Kim, Ar Ryum; Lee, Seung Woo; Seong, Poong Hyun; Park, Jin Kyun

2011-01-01

An important aspect of human behavior in nuclear power plants (NPPs) is team interaction since operating NPPs involves the coordination of several team members among and within workplaces. Since operators in main control room (MCR) get a great deal of information through communication to perform a task, communication is one of the important characteristics for team characteristics. Many researchers have been studying how to understand the characteristics of communication. Social network analysis (SNA) which is considered as an objective and easily applicable method has been already applied in many fields to investigate characteristics of team communication. Henttonen (2010) has struggled to perform the research on the impact of social networks in a team and he found some team communication characteristics could be obtained using some properties of SNA. In this paper, SNA is used to understand communication characteristics within operators in NPPs
Ecosystemic Complexity Theory of Conflict: Understanding the Fog of Conflict

Science.gov (United States)

Brack, Greg; Lassiter, Pamela S.; Hill, Michele B.; Moore, Sarah A.

2011-01-01

Counselors often engage in conflict mediation in professional practice. A model for understanding the complex and subtle nature of conflict resolution is presented. The ecosystemic complexity theory of conflict is offered to assist practitioners in navigating the fog of conflict. Theoretical assumptions are discussed with implications for clinical…
Simplifying and Complicating Early Social Complexity: An Introduction

OpenAIRE

Kaulicke, Peter

2012-01-01

This contribution treats some of the basic problems related to the origins of social complexity in ancient Perú and to such crucial definitions as domestication and sedentism. The necessity of including the concept of simplicity in discussions of complexity is stressed, as well as that of discerning the relevance and interrelation between simple and complex institutions. Further, the corresponding chronology of Perú also is in need of standardization and more precise definitions. Lastly, the ...
Emergence, institutionalization and renewal: Rhythms of adaptive governance in complex social-ecological systems.

Science.gov (United States)

Chaffin, Brian C; Gunderson, Lance H

2016-01-01

Adaptive governance provides the capacity for environmental managers and decision makers to confront variable degrees of uncertainty inherent to complex social-ecological systems. Current theoretical conceptualizations of adaptive governance represent a series of structures and processes best suited for either adapting or transforming existing environmental governance regimes towards forms flexible enough to confront rapid ecological change. As the number of empirical examples of adaptive governance described in the literature grows, the conceptual basis of adaptive governance remains largely under theorized. We argue that reconnecting adaptive governance with foundational concepts of ecological resilience-specifically Panarchy and the adaptive cycle of complex systems-highlights the importance of episodic disturbances and cross-scale interactions in triggering reorganizations in governance. By envisioning the processes of adaptive governance through the lens of Panarchy, scholars and practitioners alike will be better able to identify the emergence of adaptive governance, as well as take advantage of opportunities to institutionalize this type of governance in pursuit of sustainability outcomes. The synergistic analysis of adaptive governance and Panarchy can provide critical insight for analyzing the role of social dynamics during oscillating periods of stability and instability in social-ecological systems. A deeper understanding of the potential for cross-scale interactions to shape adaptive governance regimes may be useful as society faces the challenge of mitigating the impacts of global environmental change. Copyright © 2015 Elsevier Ltd. All rights reserved.
A guide to understanding social science research for natural scientists.

Science.gov (United States)

Moon, Katie; Blackman, Deborah

2014-10-01

Natural scientists are increasingly interested in social research because they recognize that conservation problems are commonly social problems. Interpreting social research, however, requires at least a basic understanding of the philosophical principles and theoretical assumptions of the discipline, which are embedded in the design of social research. Natural scientists who engage in social science but are unfamiliar with these principles and assumptions can misinterpret their results. We developed a guide to assist natural scientists in understanding the philosophical basis of social science to support the meaningful interpretation of social research outcomes. The 3 fundamental elements of research are ontology, what exists in the human world that researchers can acquire knowledge about; epistemology, how knowledge is created; and philosophical perspective, the philosophical orientation of the researcher that guides her or his action. Many elements of the guide also apply to the natural sciences. Natural scientists can use the guide to assist them in interpreting social science research to determine how the ontological position of the researcher can influence the nature of the research; how the epistemological position can be used to support the legitimacy of different types of knowledge; and how philosophical perspective can shape the researcher's choice of methods and affect interpretation, communication, and application of results. The use of this guide can also support and promote the effective integration of the natural and social sciences to generate more insightful and relevant conservation research outcomes. © 2014 Society for Conservation Biology.
Developmental Patterns in the Understanding of Social and Physical Transitivity.

Science.gov (United States)

Markovits, Henry; Dumas, Claude

1999-01-01

Two studies examined developmental patterns in understanding physical and social transitivity in 6- to 11-year olds. Findings revealed no significant correlations between social judgments and judgments concerning length. Results suggested that children possess two distinct strategies for making transitive judgments that correspond to the logical…
SOCIAL COMPLEXITY AND LEARNING FORAGING TASKS IN BEES

Directory of Open Access Journals (Sweden)

AMAYA-MÁRQUEZ MARISOL

2008-12-01

Full Text Available Social complexity and models concerning central place foraging were tested with respect to learning predictions using the social honey bee (Apis mellifera and solitary blue orchard bee (Osmia lignaria when given foraging problems. Both species were presented the same foraging problems, where 1 only reward molarity varied between flower morphs, and 2 only reward volume varied between flower morphs. Experiments utilized blue vs. white flower patches to standardize rewards in each experimental situation. Although honey bees learned faster than blue orchard bees when given a molarity difference reward problem, there was no significant difference in learning rate when presented a volume difference reward problem. Further, the rate at which blue orchard bees learned the volume difference problem was not significantly different from that with which honey bees learned about reward molarity differences. The results do not support the predictions of the social complexity theory, but do support those of the central place model
Matriculating Masculinity: Understanding Undergraduate Men's Precollege Gender Socialization

Science.gov (United States)

Harris, Frank, III; Harper, Shaun R.

2015-01-01

Social scientists, educational researchers, postsecondary educators (including student affairs professionals), and others have attempted to understand problematic behavioral trends and developmental outcomes among undergraduate men. Little attention has been devoted to examining the masculine identities and ideals about manhood that these students…
Complexity and simplification in understanding recruitment in benthic populations

KAUST Repository

Pineda, Jesús

2008-11-13

Research of complex systems and problems, entities with many dependencies, is often reductionist. The reductionist approach splits systems or problems into different components, and then addresses these components one by one. This approach has been used in the study of recruitment and population dynamics of marine benthic (bottom-dwelling) species. Another approach examines benthic population dynamics by looking at a small set of processes. This approach is statistical or model-oriented. Simplified approaches identify "macroecological" patterns or attempt to identify and model the essential, "first-order" elements of the system. The complexity of the recruitment and population dynamics problems stems from the number of processes that can potentially influence benthic populations, including (1) larval pool dynamics, (2) larval transport, (3) settlement, and (4) post-settlement biotic and abiotic processes, and larval production. Moreover, these processes are non-linear, some interact, and they may operate on disparate scales. This contribution discusses reductionist and simplified approaches to study benthic recruitment and population dynamics of bottom-dwelling marine invertebrates. We first address complexity in two processes known to influence recruitment, larval transport, and post-settlement survival to reproduction, and discuss the difficulty in understanding recruitment by looking at relevant processes individually and in isolation. We then address the simplified approach, which reduces the number of processes and makes the problem manageable. We discuss how simplifications and "broad-brush first-order approaches" may muddle our understanding of recruitment. Lack of empirical determination of the fundamental processes often results in mistaken inferences, and processes and parameters used in some models can bias our view of processes influencing recruitment. We conclude with a discussion on how to reconcile complex and simplified approaches. Although it
Biological and social understanding of human nature: biopolitical dimension

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S. K. Kostiuchkov

2014-07-01

Full Text Available This paper examines the position of the biopolitical nature of man as a biosocial being given supplies of both the two spheres of life – natural, biological and social. The necessity of understanding of human nature, which by definition are bio-social importance of the approach to the definition of man as an integral, binary-konnotovanoyi of the «social individual – a species» which is characterized by symmetrical opposition – upposition social and biological. It was found that the main task of modern political science, and in particular bio-political studies presented appeals to rethink the political picture of the world in order to predict the development of a new order or a new chaos. Understanding the formation of a new global civilization worldview is today one of the most important problems, which is connected with the main problem of the modern world – the task of preserving life on the planet. It is concluded that the contradictions of human nature – between the biological and the social, physical and spiritual, universal and the particular, natural and artificial, rational and emotional – in today’s conditions are extremely sharp. The said situation requires more in-depth scientific analysis of human nature, the study of the structural level as human biosocial system.
Institutional Complexity and Social Entrepreneurship: A Fuzzy-Set Approach

OpenAIRE

Munoz, PA; Kibler, E

2016-01-01

This study examines the local institutional complexity of social entrepreneurship. Building on a novel fuzzy-set analysis of 407 social entrepreneurs in the UK, the study identifies five configurations of local institutional forces that collectively explain the confidence of social entrepreneurs in successfully managing their business. The findings demonstrate that local authorities are a dominant condition; yet combinations of other complementary—more and less formalized—local institutions n...
Network approaches for understanding rainwater management from a social-ecological systems perspective

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Steven D. Prager

2015-12-01

Full Text Available The premise of this research is to better understand how approaches to implementing rainwater management practices can be informed by understanding how the people living and working in agroecosystems are connected to one another. Because these connections are via both social interactions and functional characteristics of the landscape, a social-ecological network emerges. Using social-ecological network theory, we ask how understanding the structure of interactions can lead to improved rainwater management interventions. Using a case study situated within a small sub-basin in the Fogera area of the Blue Nile Basin of Ethiopia, we build networks of smallholders based both on the biophysical and social-institutional landscapes present in the study site, with the smallholders themselves as the common element between the networks. In turn we explore how structures present in the networks may serve to guide decision making regarding both where and with whom rainwater management interventions could be developed. This research thus illustrates an approach for constructing a social-ecological network and demonstrates how the structures of the network yield insights for tailoring the implementation of rainwater management practices to the social and ecological setting.
Emotion Understanding, Social Competence and School Achievement in Children from Primary School in Portugal

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Maria da Glória Franco

2017-08-01

Full Text Available This study analyzes the relationship between emotion understanding and school achievement in children of primary school, considering age, gender, fluid intelligence, mother’s educational level and social competence. In this study participated 406 children of primary school. The instruments used were the Test of Emotion Comprehension, Colored Progressive Matrices of Raven, Socially Action and Interpersonal Problem Solving Scale. The structural equation model showed the relationship between the emotion understanding and school performance depends on a mediator variable that in the context of the study was designated social competence. Age appear as an explanatory factor of the differences found, the mother’s educational level only predicts significantly social emotional competence, fluid intelligence is a predictor of emotion understanding, school achievement and social emotional competence. Regarding the influence of sex, emotional understanding does not emerge as a significant predictor of social emotional competence in girls or boys. Multiple relationships between the various factors associated with school achievement and social emotional competence are discussed as well as their implications in promoting child development and school success.
Social capital and health: measuring and understanding social capital at a local level could help to tackle health inequalities more effectively.

Science.gov (United States)

Pilkington, Paul

2002-09-01

This paper examines whether an understanding of the concept of social capital and its local measurement can help to tackle inequalities in health within and across communities. The paper concludes that the concept of social capital offers a valuable opportunity to help public health professionals understand how to approach inequalities in health with a greater awareness of the social processes affecting the health of communities. The measurement of social capital has been problematic. However, new guidance from the Health Development Agency (HDA) provides a useful tool for developing social capital research. A greater understanding of whether, and how social capital relates to health will help to improve strategies to reduce health inequalities at the community level. Public health professionals contributing to community development strategies such as Neighbourhood Renewal Projects, Community Safety Partnerships, Health Action Zones and Health Improvement Programmes (HImPs) should encourage thought to be given about the role that an understanding of social capital could play in making these strategies more effective. Using the HDA measurement tool locally could be one way of doing this.
Implementation of a school-based social and emotional learning intervention: understanding diffusion processes within complex systems.

Science.gov (United States)

Evans, Rhiannon; Murphy, Simon; Scourfield, Jonathan

2015-07-01

Sporadic and inconsistent implementation remains a significant challenge for social and emotional learning (SEL) interventions. This may be partly explained by the dearth of flexible, causative models that capture the multifarious determinants of implementation practices within complex systems. This paper draws upon Rogers (2003) Diffusion of Innovations Theory to explain the adoption, implementation and discontinuance of a SEL intervention. A pragmatic, formative process evaluation was conducted in alignment with phase 1 of the UK Medical Research Council's framework for Developing and Evaluating Complex Interventions. Employing case-study methodology, qualitative data were generated with four socio-economically and academically contrasting secondary schools in Wales implementing the Student Assistance Programme. Semi-structured interviews were conducted with 15 programme stakeholders. Data suggested that variation in implementation activity could be largely attributed to four key intervention reinvention points, which contributed to the transformation of the programme as it interacted with contextual features and individual needs. These reinvention points comprise the following: intervention training, which captures the process through which adopters acquire knowledge about a programme and delivery expertise; intervention assessment, which reflects adopters' evaluation of an intervention in relation to contextual needs; intervention clarification, which comprises the cascading of knowledge through an organisation in order to secure support in delivery; and intervention responsibility, which refers to the process of assigning accountability for sustainable delivery. Taken together, these points identify opportunities to predict and intervene with potential implementation problems. Further research would benefit from exploring additional reinvention activity.
The Role of Social Identity Complexity in Inter-Group Attitudes among Young Adolescents

Science.gov (United States)

Knifsend, Casey A.; Juvonen, Jaana

2013-01-01

To supplement research on adolescent social identities, the current study examined how social identity complexity relates to ethnic inter-group attitudes in a young adolescent sample (N = 97; "age range" = 12-14 years). Social identity complexity refers to the perceived overlap of groups with which youth align themselves. Descriptive…

Social Identity Complexity, Cross-Ethnic Friendships, and Intergroup Attitudes in Urban Middle Schools

Science.gov (United States)

Knifsend, Casey A.; Juvonen, Jaana

2014-01-01

This study investigated contextual antecedents (i.e., cross-ethnic peers and friends) and correlates (i.e., intergroup attitudes) of social identity complexity in seventh grade. Social identity complexity refers to the perceived overlap among social groups with which youth identify. Identifying mostly with out-of-school sports, religious…
Applying social theory to understand health-related behaviours.

Science.gov (United States)

Holman, Daniel; Borgstrom, Erica

2016-06-01

Health-related behaviours are a concern for contemporary health policy and practice given their association with a range of illness outcomes. Many of the policies and interventions aimed at changing health-related behaviours assume that people are more or less free to choose their behaviour and how they experience health. Within sociology and anthropology, these behaviours are viewed not as acts of choice but as actions and practices situated within a larger sociocultural context. In this paper, we outline three theoretical perspectives useful in understanding behaviours that may influence one's health in this wider context: theories of social practice, social networks and interactionism. We argue that by better understanding how health-related behaviours are performed in people's everyday lives, more suitable interventions and clinical management can be developed. 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/
Centrality Robustness and Link Prediction in Complex Social Networks

DEFF Research Database (Denmark)

Davidsen, Søren Atmakuri; Ortiz-Arroyo, Daniel

2012-01-01

. Secondly, we present a method to predict edges in dynamic social networks. Our experimental results indicate that the robustness of the centrality measures applied to more realistic social networks follows a predictable pattern and that the use of temporal statistics could improve the accuracy achieved......This chapter addresses two important issues in social network analysis that involve uncertainty. Firstly, we present am analysis on the robustness of centrality measures that extend the work presented in Borgati et al. using three types of complex network structures and one real social network...
Embodied artificial agents for understanding human social cognition.

Science.gov (United States)

Wykowska, Agnieszka; Chaminade, Thierry; Cheng, Gordon

2016-05-05

In this paper, we propose that experimental protocols involving artificial agents, in particular the embodied humanoid robots, provide insightful information regarding social cognitive mechanisms in the human brain. Using artificial agents allows for manipulation and control of various parameters of behaviour, appearance and expressiveness in one of the interaction partners (the artificial agent), and for examining effect of these parameters on the other interaction partner (the human). At the same time, using artificial agents means introducing the presence of artificial, yet human-like, systems into the human social sphere. This allows for testing in a controlled, but ecologically valid, manner human fundamental mechanisms of social cognition both at the behavioural and at the neural level. This paper will review existing literature that reports studies in which artificial embodied agents have been used to study social cognition and will address the question of whether various mechanisms of social cognition (ranging from lower- to higher-order cognitive processes) are evoked by artificial agents to the same extent as by natural agents, humans in particular. Increasing the understanding of how behavioural and neural mechanisms of social cognition respond to artificial anthropomorphic agents provides empirical answers to the conundrum 'What is a social agent?' © 2016 The Authors.
Theories and simulations of complex social systems

CERN Document Server

Mago, Vijay

2014-01-01

Research into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research. We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers. ...
Evolution of Cooperation in Social Dilemmas on Complex Networks

Science.gov (United States)

Iyer, Swami; Killingback, Timothy

2016-01-01

Cooperation in social dilemmas is essential for the functioning of systems at multiple levels of complexity, from the simplest biological organisms to the most sophisticated human societies. Cooperation, although widespread, is fundamentally challenging to explain evolutionarily, since natural selection typically favors selfish behavior which is not socially optimal. Here we study the evolution of cooperation in three exemplars of key social dilemmas, representing the prisoner’s dilemma, hawk-dove and coordination classes of games, in structured populations defined by complex networks. Using individual-based simulations of the games on model and empirical networks, we give a detailed comparative study of the effects of the structural properties of a network, such as its average degree, variance in degree distribution, clustering coefficient, and assortativity coefficient, on the promotion of cooperative behavior in all three classes of games. PMID:26928428
Statistical Learning as a Basis for Social Understanding in Children

Science.gov (United States)

Ruffman, Ted; Taumoepeau, Mele; Perkins, Chris

2012-01-01

Many authors have argued that infants understand goals, intentions, and beliefs. We posit that infants' success on such tasks might instead reveal an understanding of behaviour, that infants' proficient statistical learning abilities might enable such insights, and that maternal talk scaffolds children's learning about the social world as well. We…
Networked Community Change: Understanding Community Systems Change through the Lens of Social Network Analysis.

Science.gov (United States)

Lawlor, Jennifer A; Neal, Zachary P

2016-06-01

Addressing complex problems in communities has become a key area of focus in recent years (Kania & Kramer, 2013, Stanford Social Innovation Review). Building on existing approaches to understanding and addressing problems, such as action research, several new approaches have emerged that shift the way communities solve problems (e.g., Burns, 2007, Systemic Action Research; Foth, 2006, Action Research, 4, 205; Kania & Kramer, 2011, Stanford Social Innovation Review, 1, 36). Seeking to bring clarity to the emerging literature on community change strategies, this article identifies the common features of the most widespread community change strategies and explores the conditions under which such strategies have the potential to be effective. We identify and describe five common features among the approaches to change. Then, using an agent-based model, we simulate network-building behavior among stakeholders participating in community change efforts using these approaches. We find that the emergent stakeholder networks are efficient when the processes are implemented under ideal conditions. © Society for Community Research and Action 2016.
The complexities of governing in a social media world.

Science.gov (United States)

Philpott, Thomas G; Swettenham, Julie

2012-01-01

The complexity of governing has increased with the Internet's introduction of social media. Boards need to be aware of social media impact upon external stakeholder relations, as well as legal responsibilities within the organization. This paper outlines the various implications of social media that a board needs to consider. A governance framework is used to help put the issues in perspective. The conclusion is that boards need to take social media seriously and ensure that their organization has a social media risk mitigation strategy for external communications, as well as eDiscovery. Various other strategies and tactics are suggested to help boards address the challenge.
Citizen Data Science for Social Good in Complex Systems

OpenAIRE

Soumya Banerjee

2018-01-01

The confluence of massive amounts of openly available data, sophisticated machine learning algorithms and an enlightened citizenry willing to engage in data science presents novel opportunities for crowd sourced data science for social good. In this submission, I present vignettes of data science projects that I have been involved in and which have impact in various spheres of life and on social good. Complex systems are all around us: from social networks to transportation systems, cities, e...
Linking Bayesian and agent-based models to simulate complex social-ecological systems in semi-arid regions

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Aloah J Pope

2015-08-01

Full Text Available Interdependencies of ecologic, hydrologic, and social systems challenge traditional approaches to natural resource management in semi-arid regions. As a complex social-ecological system, water demands in the Sonoran Desert from agricultural and urban users often conflicts with water needs for its ecologically-significant riparian corridors. To explore this system, we developed an agent-based model to simulate complex feedbacks between human decisions and environmental conditions in the Rio Sonora Watershed. Cognitive mapping in conjunction with stakeholder participation produced a Bayesian model of conditional probabilities of local human decision-making processes resulting to changes in water demand. Probabilities created in the Bayesian model were incorporated into the agent-based model, so that each agent had a unique probability to make a positive decision based on its perceived environment at each point in time and space. By using a Bayesian approach, uncertainty in the human decision-making process could be incorporated. The spatially-explicit agent-based model simulated changes in depth-to-groundwater by well pumping based on an agent’s water demand. Changes in depth-to-groundwater feedback to influence agent behavior, as well as determine unique vegetation classes within the riparian corridor. Each vegetation class then provides varying stakeholder-defined quality values of ecosystem services. Using this modeling approach allowed us to examine effects on both the ecological and social system of semi-arid riparian corridors under various scenarios. The insight provided by the model contributes to understanding how specific interventions may alter the complex social-ecological system in the future.
Understanding sustainability from an exergetic frame in complex adaptive systems

International Nuclear Information System (INIS)

Aguilar Hernandez, Glem Alonso

2017-01-01

The concept of sustainability was developed from thermodynamic properties applied to complex adaptive systems. The origins of the perception about sustainable development and limitation in its application to analyze the interaction between a system and its surroundings were described. The properties of a complex adaptive system were taken as basis to determine how a system can to be affected by the resources restriction and irreversibility of the processes. The complex adaptive system was understood using the first and second law of thermodynamics, generating a conceptual framework to define the sustainability of a system. The contributions developed by exergy were shown to analyze the sustainability of systems in an economic, social and environmental context [es
Understanding complex urban systems integrating multidisciplinary data in urban models

CERN Document Server

Gebetsroither-Geringer, Ernst; Atun, Funda; Werner, Liss

2016-01-01

This book is devoted to the modeling and understanding of complex urban systems. This second volume of Understanding Complex Urban Systems focuses on the challenges of the modeling tools, concerning, e.g., the quality and quantity of data and the selection of an appropriate modeling approach. It is meant to support urban decision-makers—including municipal politicians, spatial planners, and citizen groups—in choosing an appropriate modeling approach for their particular modeling requirements. The contributors to this volume are from different disciplines, but all share the same goal: optimizing the representation of complex urban systems. They present and discuss a variety of approaches for dealing with data-availability problems and finding appropriate modeling approaches—and not only in terms of computer modeling. The selection of articles featured in this volume reflect a broad variety of new and established modeling approaches such as: - An argument for using Big Data methods in conjunction with Age...
Understanding social media program usage in public transit agencies

Directory of Open Access Journals (Sweden)

Jenny H. Liu

2016-10-01

Full Text Available Social media has been gaining prominence in public transit agencies in their communication strategies and daily management. This study aims to better understand recent trends in social media usage in public transit agencies, to examine which agencies use what kind of social media programs for what purposes, and how they measure their programs. A survey was conducted of the top transit agencies in the nation, and results are examined through descriptive statistical analysis, correlation analysis and regression modeling. We found that while most agencies still lack clearly-defined goals and performance metrics to guide their social media development, many are increasing their social media capacity with more structural components. Public transit service usage and the level of transit service provision are the most significant determinants of agencies’ social media programming and resource investments. In contrast, the measurement of social media usage and outcomes is more significantly related to city attributes and demographic characteristics. We anticipate an increase in the usage of social media to convey transit related stories and livability benefits, such as environmental sensitivity or safety improvements, as these programs expand. Public transit agencies’ commitment to measuring social media outcomes underscores the future research need to develop best practices for measuring the impacts and performance of social media communications and investments.
Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory.

Science.gov (United States)

Yoon, Hong-Jun; Tourassi, Georgia

2014-05-01

Analyzing the contents of online social networks is an effective process for monitoring and understanding peoples' behaviors. Since the nature of conversation and information propagation is similar to traditional conversation and learning, one of the popular socio-cognitive methods, social cognitive theory was applied to online social networks to. Two major news topics about colon cancer were chosen to monitor traffic of Twitter messages. The activity of "leaders" on the issue (i.e., news companies or people will prior Twitter activity on topics related to colon cancer) was monitored. In addition, the activity of "followers", people who never discussed the topics before, but replied to the discussions was also monitored. Topics that produce tangible benefits such as positive outcomes from appropriate preventive actions received dramatically more attention and online social media traffic. Such characteristics can be explained with social cognitive theory and thus present opportunities for effective health campaigns.
An agent-based simulation of persistent inequalities in health behavior: Understanding the interdependent roles of segregation, clustering, and social influence.

Science.gov (United States)

Langellier, Brent A

2016-12-01

Health inequalities are conspicuously persistent through time and often durable even in spite of interventions. In this study, I use agent-based simulation models (ABMs) to understand how the complex interrelationships between residential segregation, social network formation, group-level preferences, and social influence may contribute to this persistence. I use a more-stylized ABM, Bubblegum Village (BV), to understand how initial inequalities in bubblegum-chewing behaviors either endure, increase, or decrease over time given group-level differences in preferences, neighborhood-level barriers or facilitators of bubblegum chewing (e.g., access to bubblegum shops), and agents' preferences for segregation, homophily, and clustering (i.e., the 'tightness' of social networks). I further use BV to understand whether segregation and social network characteristics impact whether the effects of a bubblegum-reduction intervention that is very effective in the short term are durable over time, as well as to identify intervention strategies to reduce attenuation of the intervention effects. In addition to BV, I also present results from an ABM based on the distribution and social characteristics of the population in Philadelphia, PA. This model explores similar questions to BV, but examines racial/ethnic inequalities in soda consumption based on agents' social characteristics and baseline soda consumption probabilities informed by the 2007-2010 National Health and Nutrition Examination Survey. Collectively, the models suggest that residential segregation is a fundamental process for the production and persistence of health inequalities. The other major conclusion of the study is that, for behaviors that are subject to social influence and that cluster within social groups, interventions that are randomly-targeted to individuals with 'bad' behaviors will likely experience a large degree of recidivism to pre-intervention behaviors. In contrast, interventions that target
Understanding social context on TB cases

Science.gov (United States)

Ariyanto, Y.; Wati, D. M.

2017-01-01

Tuberculosis (TB) nowadays still becomes one of the world’s deadliest communicable disease. More than half were in South-East Asia and Western Pacific Regions, including Indonesia. As developing country, Indonesia remains classic problems in overcoming TB, that is discontinuation on treatment. Most of discontinuation on treatment among TB patients are affected by diagnostic delay that caused by patient delay. These phenomena occur in many areas, rural to suburb, coastal to plantation, and so on, and they are related with social context among community that could be social capital for each community to deal with TB. Jember as one of county in East Java is known as plantation area. It also has a high prevalence of TB. This study focused on understanding about social context among community, especially on plantation area. This cross-sectional study involved in three districts of Jember, those are Tanggul, Pakusari, and Kalisat. The data were obtained directly from the TB patients, local community, and Primary Health Care (PHC) where the patients recorded. Spatial analysis and social network analysis (SNA) were applied to obtain health seeking behavior pattern among the TB patients coincide the community. Most of TB patients had already chosen health professionals to lead the treatment, although some of them remained to choose self-medication. Meanwhile, SNA showed that religious leader was considered as main part of countermeasures of TB. But they didn’t ever become central figures. So it can be concluded that there are other parts among community who can contribute due to combatting on TB.
An Investigation of High School Social Studies Teachers' Understandings of Vocabulary Teaching and Learning

Science.gov (United States)

Harmon, Janis; Antuna, Marcos; Juarez, Lucinda; Wood, Karen D.; Vintinner, Jean

2018-01-01

This qualitative study focused on high school social studies teachers' understandings of and perspectives about vocabulary acquisition and instruction. The research questions were the following: (1) What do high school social studies teachers understand about vocabulary instruction? and (2) How do high school social studies teachers support…
Toward an analytical framework for understanding complex social-ecological systems when conducting environmental impact assessments in South Africa

Directory of Open Access Journals (Sweden)

Rebecca Bowd

2015-03-01

Full Text Available Consideration of biophysical impacts has historically dominated environmental impact assessment (EIA practice. Despite the emergence of social impact assessment, the consideration of socioeconomic impacts in EIA is variable, as is the extent of their integration in EIA findings. There is growing recognition for the need to move EIA practice toward sustainability assessment, characterized by comprehensiveness, i.e., scope of impacts, integration, i.e., of biophysical and socioeconomic impacts, and a greater strategic focus. This is particularly the case in developing regions and in countries like South Africa, which have statutory requirements for the full consideration of socioeconomic impacts in EIA. We suggest that EIA practice could benefit from incorporating evolving theory around social-ecological systems (SES as an effective way of moving toward sustainability assessment. As far as we are aware, our study constitutes the first attempt to apply and formalize SES constructs to EIA practice within a regulated procedure. Our framework goes beyond conventional scoping approaches reliant on checklists and matrices by requiring the EIA practitioner to cocreate a conceptual model of the current and future social-ecological system with the implicated communities. This means social and biophysical impacts are assessed integratively, and that communities participate meaningfully in the EIA process, thereby helping address two of the most common shortfalls of EIA practice. The framework was applied in two case studies, establishment of community-based accommodation linked to existing tourism infrastructure (Eastern Cape, South Africa, and a proposed wine estate (KwaZulu-Natal, South Africa. The framework revealed impacts, which would not be considered in a biophysically-oriented EIA, and helped identify development synergies and institutional and governance needs that are equally likely to have been overlooked. We suggest the framework has value as a
Understanding Social Media Logic

OpenAIRE

José van Dijck; Thomas Poell

2013-01-01

Over the past decade, social media platforms have penetrated deeply into the mechanics of everyday life, affecting people's informal interactions, as well as institutional structures and professional routines. Far from being neutral platforms for everyone, social media have changed the conditions and rules of social interaction. In this article, we examine the intricate dynamic between social media platforms, mass media, users, and social institutions by calling attention to social media log...

Relation of Student Social Position to Consumer Attitudes and Understanding

Science.gov (United States)

Litro, Robert Frank

1970-01-01

A study of Connecticut high school students from different social positions found differences in consumer attitudes and understandings of money management, credit, insurance, and savings and investments. (CH)
Understanding urban practitioners' perspectives on social-mix policies in Amsterdam: the importance of design and social space

NARCIS (Netherlands)

Lawton, P.

2013-01-01

Throughout recent decades, socially-mixed neighbourhoods have become a key element of urban policy and debate. This paper argues, with Amsterdam as an empirical case, that the design, layout and everyday use of social space—including public and private space—is of key importance in understanding the
Understanding Parkinson Disease: A Complex and Multifaceted Illness.

Science.gov (United States)

Gopalakrishna, Apoorva; Alexander, Sheila A

2015-12-01

Parkinson disease is an incredibly complex and multifaceted illness affecting millions of people in the United States. Parkinson disease is characterized by progressive dopaminergic neuronal dysfunction and loss, leading to debilitating motor, cognitive, and behavioral symptoms. Parkinson disease is an enigmatic illness that is still extensively researched today to search for a better understanding of the disease, develop therapeutic interventions to halt or slow progression of the disease, and optimize patient outcomes. This article aims to examine in detail the normal function of the basal ganglia and dopaminergic neurons in the central nervous system, the etiology and pathophysiology of Parkinson disease, related signs and symptoms, current treatment, and finally, the profound impact of understanding the disease on nursing care.
Understanding health through social practices: performance and materiality in everyday life.

Science.gov (United States)

Maller, Cecily Jane

2015-01-01

The importance of recognising structure and agency in health research to move beyond methodological individualism is well documented. To progress incorporating social theory into health, researchers have used Giddens' and Bourdieu's conceptualisations of social practice to understand relationships between agency, structure and health. However, social practice theories have more to offer than has currently been capitalised upon. This article delves into contemporary theories of social practice as used in consumption and sustainability research to provide an alternative, and more contextualised means, of understanding and explaining human action in relation to health and wellbeing. Two key observations are made. Firstly, the latest formulations of social practice theory distinguish moments of practice performance from practices as persistent entities across time and space, allowing empirical application to explain practice histories and future trajectories. Secondly, they emphasise the materiality of everyday life, foregrounding things, technologies and other non-humans that cannot be ignored in a technologically dependent social world. In concluding, I argue the value of using contemporary social practice theories in health research is that they reframe the way in which health outcomes can be understood and could inform more effective interventions that move beyond attitudes, behaviour and choices. © 2015 The Authors. Sociology of Health & Illness © 2015 Foundation for the Sociology of Health & Illness/John Wiley & Sons Ltd.
Using a social-ecological systems perspective to understand tourism and landscape interactions in coastal areas

Directory of Open Access Journals (Sweden)

Jasper Hessel Heslinga

2017-04-01

Full Text Available Purpose – The purpose of this paper is to look at the potential synergies between tourism and landscapes and examine the potential contribution of tourism to build social-ecological resilience in the Dutch Wadden. Design/methodology/approach – The authors reveal how a social-ecological systems perspective can be used to conceptualize the Wadden as a coupled and dynamic system. This paper is a conceptual analysis that applies this approach to the Dutch Wadden. The data used for the inquiry primarily comes from a literature review. Findings – The authors argue that the social-ecological systems perspective is a useful approach and could be used to improve the governance of multi-functional socio-ecological systems in coastal areas. Opportunities for synergies between tourism and landscapes have been overlooked. The authors consider that tourism and nature protection are potentially compatible and that the synergies should be identified. Research limitations/implications – This paper is only a conceptual application rather than an empirical case study. Further research to actually apply the methodology is needed. Practical implications – Managers of protected areas should consider applying a social-ecological systems approach. Social implications – The views of a wide variety of stakeholders should be considered in landscape planning. Originality/value – The value of this paper lies in the articulation of the social-ecological systems perspective as a way to identify and understand the complex interactions between tourism and landscape, and the potential synergies between them.
Contemporary Leadership Theories. Enhancing the Understanding of the Complexity, Subjectivity and Dynamic of Leadership

DEFF Research Database (Denmark)

Winkler, Ingo

This book provides a comprehensive overview of basic theoretical approaches of today's leadership research. These approaches conceive leadership as an interactive and complex process. They stress the significance of the individual perception for developing and forming leadership relations....... Leadership is understood as product of complex social relationships embedded in the logic and dynamic of the social system. The book discusses theoretical approaches from top leadership journals, but also addresses various alternatives that are suitable to challenge mainstream leadership research....... It includes attributional and psychodynamic approaches, charismatic leadership theories, and theoretical approaches that define leader-member relations in terms of exchange relations leadership under symbolic and political perspectives, in the light of role theory and as process of social learning....
Associations between social understanding, sibling relationship quality, and siblings' conflict strategies and outcomes.

Science.gov (United States)

Recchia, Holly E; Howe, Nina

2009-01-01

Sibling relationship quality and social understanding (second-order false belief, conflict interpretation, and narrative conflict perspective references) were examined as unique and interactive correlates of sibling conflict behavior in 62 dyads (older M age = 8.39 years and younger M age = 6.06 years). High-quality relationships were associated with positive conflict processes. Younger siblings' second-order false belief scores were negatively associated with constructive conflict strategies, and older siblings' narrative self-referential focus was negatively associated with compromise. Associations between younger children's social understanding (conflict interpretation and narrative perspective references) and siblings' dyadic conflict behavior were moderated by relationship quality. Results suggest that links between social understanding and conflict behavior should be considered in conjunction with the quality of children's relationships.
A complementary marriage of perspectives: understanding organizational social context using mixed methods.

Science.gov (United States)

Beidas, Rinad S; Wolk, Courtney L Benjamin; Walsh, Lucia M; Evans, Arthur C; Hurford, Matthew O; Barg, Frances K

2014-11-23

Organizational factors impact the delivery of mental health services in community settings. Mixed-methods analytic approaches have been recommended, though little research within implementation science has explicitly compared inductive and deductive perspectives to understand their relative value in understanding the same constructs. The purpose of our study is to use two different paradigmatic approaches to deepen our understanding of organizational social context. We accomplish this by using a mixed-methods approach in an investigation of organizational social context in community mental health clinics. Nineteen agencies, representing 23 sites, participated. Enrolled participants included 130 therapists, 36 supervisors, and 22 executive administrators. Quantitative data was obtained via the Organizational Social Context (OSC) measure. Qualitative data, comprised of direct observation with spot sampling generated from agency visits, was coded using content analysis and grounded theory. The present study examined elements of organizational social context that would have been missed if only quantitative data had been obtained and utilized mixed methods to investigate if stratifying observations based on quantitative ratings from the OSC resulted in the emergence of differential themes. Four of the six OSC constructs were commonly observed in field observations (i.e., proficiency, rigidity, functionality, stress), while the remaining two constructs were not frequently observed (i.e., resistance, engagement). Constructs emerged related to organizational social context that may have been missed if only quantitative measurement was employed, including those around the physical environment, commentary about evidence-based practice initiatives, leadership, cultural diversity, distrust, and affect. Stratifying agencies by "best," "average," and "worst" organizational social context impacted interpretation for three constructs (affect, stress, and leadership). Results
Leveraging social networks for understanding the evolution of epidemics

Science.gov (United States)

2011-01-01

Background To understand how infectious agents disseminate throughout a population it is essential to capture the social model in a realistic manner. This paper presents a novel approach to modeling the propagation of the influenza virus throughout a realistic interconnection network based on actual individual interactions which we extract from online social networks. The advantage is that these networks can be extracted from existing sources which faithfully record interactions between people in their natural environment. We additionally allow modeling the characteristics of each individual as well as customizing his daily interaction patterns by making them time-dependent. Our purpose is to understand how the infection spreads depending on the structure of the contact network and the individuals who introduce the infection in the population. This would help public health authorities to respond more efficiently to epidemics. Results We implement a scalable, fully distributed simulator and validate the epidemic model by comparing the simulation results against the data in the 2004-2005 New York State Department of Health Report (NYSDOH), with similar temporal distribution results for the number of infected individuals. We analyze the impact of different types of connection models on the virus propagation. Lastly, we analyze and compare the effects of adopting several different vaccination policies, some of them based on individual characteristics -such as age- while others targeting the super-connectors in the social model. Conclusions This paper presents an approach to modeling the propagation of the influenza virus via a realistic social model based on actual individual interactions extracted from online social networks. We implemented a scalable, fully distributed simulator and we analyzed both the dissemination of the infection and the effect of different vaccination policies on the progress of the epidemics. The epidemic values predicted by our simulator match
Leveraging social networks for understanding the evolution of epidemics

Directory of Open Access Journals (Sweden)

Martín Gonzalo

2011-12-01

Full Text Available Abstract Background To understand how infectious agents disseminate throughout a population it is essential to capture the social model in a realistic manner. This paper presents a novel approach to modeling the propagation of the influenza virus throughout a realistic interconnection network based on actual individual interactions which we extract from online social networks. The advantage is that these networks can be extracted from existing sources which faithfully record interactions between people in their natural environment. We additionally allow modeling the characteristics of each individual as well as customizing his daily interaction patterns by making them time-dependent. Our purpose is to understand how the infection spreads depending on the structure of the contact network and the individuals who introduce the infection in the population. This would help public health authorities to respond more efficiently to epidemics. Results We implement a scalable, fully distributed simulator and validate the epidemic model by comparing the simulation results against the data in the 2004-2005 New York State Department of Health Report (NYSDOH, with similar temporal distribution results for the number of infected individuals. We analyze the impact of different types of connection models on the virus propagation. Lastly, we analyze and compare the effects of adopting several different vaccination policies, some of them based on individual characteristics -such as age- while others targeting the super-connectors in the social model. Conclusions This paper presents an approach to modeling the propagation of the influenza virus via a realistic social model based on actual individual interactions extracted from online social networks. We implemented a scalable, fully distributed simulator and we analyzed both the dissemination of the infection and the effect of different vaccination policies on the progress of the epidemics. The epidemic values
Children's Interpretive Understanding, Moral Judgments, and Emotion Attributions: Relations to Social Behaviour

Science.gov (United States)

Malti, Tina; Gasser, Luciano; Gutzwiller-Helfenfinger, Eveline

2010-01-01

The study investigated interpretive understanding, moral judgments, and emotion attributions in relation to social behaviour in a sample of 59 5-year-old, 123 7-year-old, and 130 9-year-old children. Interpretive understanding was assessed by two tasks measuring children's understanding of ambiguous situations. Moral judgments and emotion…
Dependency visualization for complex system understanding

Energy Technology Data Exchange (ETDEWEB)

Smart, J. Allison Cory [Univ. of California, Davis, CA (United States)

1994-09-01

With the volume of software in production use dramatically increasing, the importance of software maintenance has become strikingly apparent. Techniques now sought and developed for reverse engineering and design extraction and recovery. At present, numerous commercial products and research tools exist which are capable of visualizing a variety of programming languages and software constructs. The list of new tools and services continues to grow rapidly. Although the scope of the existing commercial and academic product set is quite broad, these tools still share a common underlying problem. The ability of each tool to visually organize object representations is increasingly impaired as the number of components and component dependencies within systems increases. Regardless of how objects are defined, complex ``spaghetti`` networks result in nearly all large system cases. While this problem is immediately apparent in modem systems analysis involving large software implementations, it is not new. As will be discussed in Chapter 2, related problems involving the theory of graphs were identified long ago. This important theoretical foundation provides a useful vehicle for representing and analyzing complex system structures. While the utility of directed graph based concepts in software tool design has been demonstrated in literature, these tools still lack the capabilities necessary for large system comprehension. This foundation must therefore be expanded with new organizational and visualization constructs necessary to meet this challenge. This dissertation addresses this need by constructing a conceptual model and a set of methods for interactively exploring, organizing, and understanding the structure of complex software systems.
Spatially Distributed Social Complex Networks

Directory of Open Access Journals (Sweden)

Gerald F. Frasco

2014-01-01

Full Text Available We propose a bare-bones stochastic model that takes into account both the geographical distribution of people within a country and their complex network of connections. The model, which is designed to give rise to a scale-free network of social connections and to visually resemble the geographical spread seen in satellite pictures of the Earth at night, gives rise to a power-law distribution for the ranking of cities by population size (but for the largest cities and reflects the notion that highly connected individuals tend to live in highly populated areas. It also yields some interesting insights regarding Gibrat’s law for the rates of city growth (by population size, in partial support of the findings in a recent analysis of real data [Rozenfeld et al., Proc. Natl. Acad. Sci. U.S.A. 105, 18702 (2008.]. The model produces a nontrivial relation between city population and city population density and a superlinear relationship between social connectivity and city population, both of which seem quite in line with real data.
Spatially Distributed Social Complex Networks

Science.gov (United States)

Frasco, Gerald F.; Sun, Jie; Rozenfeld, Hernán D.; ben-Avraham, Daniel

2014-01-01

We propose a bare-bones stochastic model that takes into account both the geographical distribution of people within a country and their complex network of connections. The model, which is designed to give rise to a scale-free network of social connections and to visually resemble the geographical spread seen in satellite pictures of the Earth at night, gives rise to a power-law distribution for the ranking of cities by population size (but for the largest cities) and reflects the notion that highly connected individuals tend to live in highly populated areas. It also yields some interesting insights regarding Gibrat's law for the rates of city growth (by population size), in partial support of the findings in a recent analysis of real data [Rozenfeld et al., Proc. Natl. Acad. Sci. U.S.A. 105, 18702 (2008).]. The model produces a nontrivial relation between city population and city population density and a superlinear relationship between social connectivity and city population, both of which seem quite in line with real data.
Towards a deep understanding of malware propagation in online social networks

Energy Technology Data Exchange (ETDEWEB)

Yan, Guanhua [Los Alamos National Laboratory; Eidenbenz, Stephan [Los Alamos National Laboratory; Chen, Guanling [U OF MASSACHUSETTS LOWELL; Li, Nan [U OF MASSACHUSETTS LOWELL

2009-01-01

Online social networks, which have been expanding at a blistering speed in the recent years, have emerged as a popular communication infrastructure for Internet users. Meanwhile, malware that specifically targets these online social networks are also on the rise. In this work, we aim to investigate the characteristics of malware propagation in online social networks. Our study is based on a dataset collected from a real-world location-based online social network. We analyze the social structure and user activity patterns of this network. We further use extensive trace-driven simulation to study the impact of initial infection, user click probability, social structure, and activity patterns on malware propagation in online social networks. The results from this work has greatly deepened our understanding of the nature of online social network malware and also shed light on how to defend against them effectively.
A genomic comparison of two termites with different social complexity.

Science.gov (United States)

Korb, Judith; Poulsen, Michael; Hu, Haofu; Li, Cai; Boomsma, Jacobus J; Zhang, Guojie; Liebig, Jürgen

2015-01-01

The termites evolved eusociality and complex societies before the ants, but have been studied much less. The recent publication of the first two termite genomes provides a unique comparative opportunity, particularly because the sequenced termites represent opposite ends of the social complexity spectrum. Zootermopsis nevadensis has simple colonies with totipotent workers that can develop into all castes (dispersing reproductives, nest-inheriting replacement reproductives, and soldiers). In contrast, the fungus-growing termite Macrotermes natalensis belongs to the higher termites and has very large and complex societies with morphologically distinct castes that are life-time sterile. Here we compare key characteristics of genomic architecture, focusing on genes involved in communication, immune defenses, mating biology and symbiosis that were likely important in termite social evolution. We discuss these in relation to what is known about these genes in the ants and outline hypothesis for further testing.
Scientific thinking in elementary school: Children's social cognition and their epistemological understanding promote experimentation skills.

Science.gov (United States)

Osterhaus, Christopher; Koerber, Susanne; Sodian, Beate

2017-03-01

Do social cognition and epistemological understanding promote elementary school children's experimentation skills? To investigate this question, 402 children (ages 8, 9, and 10) in 2nd, 3rd, and 4th grades were assessed for their experimentation skills, social cognition (advanced theory of mind [AToM]), epistemological understanding (understanding the nature of science), and general information-processing skills (inhibition, intelligence, and language abilities) in a whole-class testing procedure. A multiple indicators multiple causes model revealed a significant influence of social cognition (AToM) on epistemological understanding, and a McNemar test suggested that children's development of AToM is an important precursor for the emergence of an advanced, mature epistemological understanding. Children's epistemological understanding, in turn, predicted their experimentation skills. Importantly, this relation was independent of the common influences of general information processing. Significant relations between experimentation skills and inhibition, and between epistemological understanding, intelligence, and language abilities emerged, suggesting that general information processing contributes to the conceptual development that is involved in scientific thinking. The model of scientific thinking that was tested in this study (social cognition and epistemological understanding promote experimentation skills) fitted the data significantly better than 2 alternative models, which assumed nonspecific, equally strong relations between all constructs under investigation. Our results support the conclusion that social cognition plays a foundational role in the emergence of children's epistemological understanding, which in turn is closely related to the development of experimentation skills. Our findings have significant implications for the teaching of scientific thinking in elementary school and they stress the importance of children's epistemological understanding in
Complex Networks

CERN Document Server

Evsukoff, Alexandre; González, Marta

2013-01-01

In the last decade we have seen the emergence of a new inter-disciplinary field focusing on the understanding of networks which are dynamic, large, open, and have a structure sometimes called random-biased. The field of Complex Networks is helping us better understand many complex phenomena such as the spread of deseases, protein interactions, social relationships, to name but a few. Studies in Complex Networks are gaining attention due to some major scientific breakthroughs proposed by network scientists helping us understand and model interactions contained in large datasets. In fact, if we could point to one event leading to the widespread use of complex network analysis is the availability of online databases. Theories of Random Graphs from Erdös and Rényi from the late 1950s led us to believe that most networks had random characteristics. The work on large online datasets told us otherwise. Starting with the work of Barabási and Albert as well as Watts and Strogatz in the late 1990s, we now know th...
A sense of change: media designers and artists communicating about complexity in social-ecological systems

Directory of Open Access Journals (Sweden)

Joost M. Vervoort

2014-09-01

Full Text Available To take on the current and future challenges of global environmental change, fostering a widespread societal understanding of and engagement with the complex dynamics that characterize interacting human and natural systems is essential. Current science communication methods struggle with a number of specific challenges associated with communicating about complex systems. In this study we report on two collaborative processes, a short workshop and longer course, that aimed to harness the insights of interactive media designers and artists to overcome these challenges. The two processes resulted in 86 new interactive media concepts which were selected by the participants and organizers using set criteria and then evaluated using the same criteria by a panel of communication and media design experts and a panel of complex systems scientists using the same criteria. The top eight concepts are discussed in this paper. These concepts fell into the categories of serious games, group interaction concepts, and social media storytelling. The serious games focused directly on complex systems characteristics and were evaluated to be intuitive and engaging designs that combined transparency and complexity well. The group interaction concepts focused mostly on feedbacks and nonlinearity but were fully developed and tested in the workshops, and evaluated as engaging, accessible, and easy to implement in workshops and educational settings. The social media storytelling concepts involved less direct interactions with system dynamics but were seen as highly accessible to large scale audiences. The results of this study show the potential of interdisciplinary collaboration between complex systems scientists, designers, and artists. The results and process discussed in this paper show the value of more structural engagement of interactive media designers and artist communities in the development of communication tools about human and natural systems change.
Analyzing social policy: multiple perspectives for critically understanding and evaluating policy

National Research Council Canada - National Science Library

O'Connor, Mary Katherine; Netting, F. Ellen

2011-01-01

... and development to implementation. Approaching the topic from an analytical and research-based perspective, the authors help readers make better, informed choices for successfully dealing with the complexities of social policy...

Using social media to facilitate knowledge transfer in complex engineering environments: a primer for educators

Science.gov (United States)

Murphy, Glen; Salomone, Sonia

2013-03-01

While highly cohesive groups are potentially advantageous they are also often correlated with the emergence of knowledge and information silos based around those same functional or occupational clusters. Consequently, an essential challenge for engineering organisations wishing to overcome informational silos is to implement mechanisms that facilitate, encourage and sustain interactions between otherwise disconnected groups. This paper acts as a primer for those seeking to gain an understanding of the design, functionality and utility of a suite of software tools generically termed social media technologies in the context of optimising the management of tacit engineering knowledge. Underpinned by knowledge management theory and using detailed case examples, this paper explores how social media technologies achieve such goals, allowing for the transfer of knowledge by tapping into the tacit and explicit knowledge of disparate groups in complex engineering environments.
The Digital Flynn Effect: Complexity of Posts on Social Media Increases over Time

OpenAIRE

Smirnov, Ivan

2017-01-01

Parents and teachers often express concern about the extensive use of social media by youngsters. Some of them see emoticons, undecipherable initialisms and loose grammar typical for social media as evidence of language degradation. In this paper, we use a simple measure of text complexity to investigate how the complexity of public posts on a popular social networking site changes over time. We analyze a unique dataset that contains texts posted by 942, 336 users from a large European city a...
La trampa del antropomorfismo. Hacia una interfaz (más compleja de lo social The trap of anthropomorphism. Towards a (more complex social interface

Directory of Open Access Journals (Sweden)

Iñaki Martínez de Albeniz

2010-11-01

Full Text Available La enseñanza de la sociología supone, hoy día, una cura de humildad. Por más que acudamos a sofisticados modelos teóricos (la sociedad líquida, la teoría de sistemas, la fluidez social, la teoría del actor-red, que cuestionan las bases fundacionales de la sociología clásica, la práctica docente evidencia que entre los estudiantes sigue imperando una imagen simple o esquemática de lo social. La sorpresa es mayor si asumimos que se trata de una generación que se ha socializado en el uso de herramientas digitales que facilitan, en principio, la elaboración de mapas más acordes con la complejidad que lo social reviste. El antropomorfismo, la idea de que la sociedad es ante todo un agrupamiento más o menos estable de individuos, es el límite infranqueable que sigue imponiéndose a la hora de entender lo social. Para minar esta visión hegemónica es preciso acudir a disciplinas como el arte (digital, las nuevas tecnología y, en general, las innovaciones estéticas, no tanto para destruir esa representación antropomórfica de lo social sino para desfigurándola prefigurar otras más acordes con una complejidad que ya no sólo intuimos y cuyo aliento sentimos muy cerca. The teaching of sociology is today a humbling experience. Although we use complex theoretical models (the liquid society, system theory, social fluidity or Actor-Network Theory that question the foundational bases of classical sociology, teaching practice shows that a simple or schematic picture of the social continues to prevail among students. The surprise is even greater when we consider that this is a generation that has been socialized in the use of digital tools, a resource that, in principle, should facilitate a mapping of social reality more appropriate to its complexity. Anthropomorphism, the idea that society is primarily a more or less stable grouping of individuals, is the impassable limit that continues to be imposed when it comes to understanding
Improving Social Understanding of Preschool Children: Evaluation of a Training Program

Science.gov (United States)

Esteban, Moises; Sidera, Francesc; Serrano, Jessica; Amado, Anna; Rostan, Carles

2010-01-01

Introduction: This study tested the effects of a training program intending to foster social understanding or the capacity which enables them to understand themselves and others in terms of intentions, beliefs, desires, and emotions in children at preschool age. A number of studies have shown that in the context of shared narratives, children are…
A Tale Begun in Other Days: Understanding Caste as Social Exclusion in India

OpenAIRE

Negi, Prashant

2011-01-01

Caste has remained a subject of intense academic inquiry. Lately, new discourses have emerged under the thematic of ‘social exclusion’ that simply extend the scope of academic discussion on caste. This paper assumes that such discourses are relatively less applied to understanding the caste system and for the same attempts to juxtapose thinking on social exclusion to understanding caste in India. Thematically, these methodological issues are dealt with by firstly, presenting a brief backgrou...
A genomic comparison of two termites with different social complexity

Directory of Open Access Journals (Sweden)

Judith eKorb

2015-03-01

Full Text Available The termites evolved eusociality and complex societies before the ants, but have been studied much less. The recent publication of the first two termite genomes provides a unique comparative opportunity, particularly because the sequenced termites represent opposite ends of the social complexity spectrum. Zootermopsis nevadensis has simple colonies with totipotent workers that can develop into all castes (dispersing reproductives, nest-inheriting replacement reproductives, and soldiers. In contrast, the fungus-growing termite Macrotermes natalensis belongs to the higher termites and has very large and complex societies with morphologically distinct castes that are life-time sterile. Here we compare key characteristics of genomic architecture, focusing on genes involved in communication, immune defenses, mating biology and symbiosis that were likely important in termite social evolution. We discuss these in relation to what is known about these genes in the ants and outline hypotheses for further testing.
Captured by Motion: Dance, Action Understanding, and Social Cognition

Science.gov (United States)

Sevdalis, Vassilis; Keller, Peter E.

2011-01-01

In this review article, we summarize the main findings from empirical studies that used dance-related forms of rhythmical full body movement as a research tool for investigating action understanding and social cognition. This work has proven to be informative about behavioral and brain mechanisms that mediate links between perceptual and motor…
Enactive cinema paves way towards understanding complex real-time social interaction in neuroimaging experiments

Directory of Open Access Journals (Sweden)

Pia eTikka

2012-11-01

Full Text Available We outline general theoretical and practical implications of what we promote as enactive cinema for the neuroscientific study of online socio-emotional interaction. In a real-time functional magnetic resonance imaging (rt-fMRI setting, participants are immersed in cinematic experiences that simulate social situations. While viewing, their physiological reactions - including brain responses - are tracked, representing implicit and unconscious experiences of the on-going social situations. These reactions, in turn, are analysed in real-time and fed back to modify the cinematic sequences they are viewing while being scanned. Due to the engaging cinematic content, the proposed setting focuses on living-by in terms of shared psycho-physiological epiphenomena of experience rather than active coping in terms of goal-oriented motor actions. It constitutes a means to parametrically modify stimuli that depict social situations and their broader environmental contexts. As an alternative to studying the variation of brain responses as a function of a priori fixed stimuli, this method can be applied to survey the range of stimuli that evoke similar responses across participants at particular brain regions of interest.
Enactive cinema paves way for understanding complex real-time social interaction in neuroimaging experiments.

Science.gov (United States)

Tikka, Pia; Väljamäe, Aleksander; de Borst, Aline W; Pugliese, Roberto; Ravaja, Niklas; Kaipainen, Mauri; Takala, Tapio

2012-01-01

We outline general theoretical and practical implications of what we promote as enactive cinema for the neuroscientific study of online socio-emotional interaction. In a real-time functional magnetic resonance imaging (rt-fMRI) setting, participants are immersed in cinematic experiences that simulate social situations. While viewing, their physiological reactions-including brain responses-are tracked, representing implicit and unconscious experiences of the on-going social situations. These reactions, in turn, are analyzed in real-time and fed back to modify the cinematic sequences they are viewing while being scanned. Due to the engaging cinematic content, the proposed setting focuses on living-by in terms of shared psycho-physiological epiphenomena of experience rather than active coping in terms of goal-oriented motor actions. It constitutes a means to parametrically modify stimuli that depict social situations and their broader environmental contexts. As an alternative to studying the variation of brain responses as a function of a priori fixed stimuli, this method can be applied to survey the range of stimuli that evoke similar responses across participants at particular brain regions of interest.
Understanding social media usage by females in Saudi Arabia: a ...

African Journals Online (AJOL)

Understanding social media usage by females in Saudi Arabia: a descriptive finding. ... This study was conducted to determine the effects of SM on Saudi females. ... hence more effort should be undertaken to encourage more uptake of SM for ...
Followership, clinical leadership and social identity.

Science.gov (United States)

Mannion, Hester; McKimm, Judy; O'Sullivan, Helen

2015-05-01

This article explores how the concepts of followership, social identity and social influence help clinical leaders and followers better understand how leadership processes function within and between individuals, teams and complex organizations.
The importance of including dynamic social networks when modeling epidemics of airborne infections: does increasing complexity increase accuracy?

OpenAIRE

Blower, Sally; Go, Myong-Hyun

2011-01-01

Abstract Mathematical models are useful tools for understanding and predicting epidemics. A recent innovative modeling study by Stehle and colleagues addressed the issue of how complex models need to be to ensure accuracy. The authors collected data on face-to-face contacts during a two-day conference. They then constructed a series of dynamic social contact networks, each of which was used to model an epidemic generated by a fast-spreading airborne pathogen. Intriguingly, Stehle and colleagu...
Understanding suffering and giving compassion: the reach of socially engaged Buddhism into China.

Science.gov (United States)

Kuah-Pearce, Khun Eng

2014-01-01

This paper will explore the social engagement of Buddhists through their active voluntary works - works that result in the development of a religious philanthropic culture. Through three case examples, this paper will examine how the sangha and individual Buddhists understand social suffering and compassion and attempt to integrate their understanding of Buddhist virtues and values in their daily life where the performance of voluntary works is seen as Buddhist spiritualism. In this process, the individuals seek to understand the key principles of Buddhism that are of direct relevance to their daily existence and their quest to be a compassionate self. Foremost are two notions of yebao (karma) and gan-en (gratitude) and how through compassionate practices and gratitude for those who accepted compassionate acts, they would be rewarded with good karma. Here, pursuing compassionate acts and the alleviation of social suffering is the pursuit of this-worldly spiritualism.
Developing and Modeling Complex Social Interventions: Introducing the Connecting People Intervention

Science.gov (United States)

Webber, Martin; Reidy, Hannah; Ansari, David; Stevens, Martin; Morris, David

2016-01-01

Objectives: Modeling the processes involved in complex social interventions is important in social work practice, as it facilitates their implementation and translation into different contexts. This article reports the process of developing and modeling the connecting people intervention (CPI), a model of practice that supports people with mental…
Understanding social stigma in women with hepatitis C.

Science.gov (United States)

Grundy, Gillian; Beeching, Nicholas

The aim of this research is to gain a more complete understanding of the impact of the hepatitis C virus (HCV) on women. This research used qualitative methods. Semi-structured interviews were carried out with eight HCV-positive women. The interviews explored counselling and testing, social stigma, treatment options, transmission and gender roles, and the influence of reductionism on the experience of HCV-positive women attending services. All the women experienced significant difficulties coming to terms with the diagnosis. Many had worries about transmission and stigma--these worries affected their relationships, including those with sexual partners, family members and children. Most of the women had mixed feelings about knowing their diagnosis and varying levels of satisfaction with treatments and services provided. Women appear to have individual anxieties related to the transmission of HCV and their ability to carry out their social roles. They were particularly concerned about social stigma, sexual transmission, pregnancy and childcare. These worries affected their close relationships and resulted in concerns about their ability to fulfil expected gender roles.
Executive Function, Social Emotional Learning, and Social Competence in School-Aged Boys with Autism Spectrum Disorder

Science.gov (United States)

Berard, Nathalie; Loutzenhiser, Lynn; Sevigny, Phillip R.; Alfano, Dennis P.

2017-01-01

Autism Spectrum Disorder (ASD) is an aetiologically complex neurodevelopmental disorder characterized by deficits in social functioning. Children with ASD display a wide range of social competence and more variability in social domains as compared with either communication or repetitive behaviour domains. There is limited understanding of factors…
Information-Theoretic Approaches for Evaluating Complex Adaptive Social Simulation Systems

Energy Technology Data Exchange (ETDEWEB)

Omitaomu, Olufemi A [ORNL; Ganguly, Auroop R [ORNL; Jiao, Yu [ORNL

2009-01-01

In this paper, we propose information-theoretic approaches for comparing and evaluating complex agent-based models. In information theoretic terms, entropy and mutual information are two measures of system complexity. We used entropy as a measure of the regularity of the number of agents in a social class; and mutual information as a measure of information shared by two social classes. Using our approaches, we compared two analogous agent-based (AB) models developed for regional-scale social-simulation system. The first AB model, called ABM-1, is a complex AB built with 10,000 agents on a desktop environment and used aggregate data; the second AB model, ABM-2, was built with 31 million agents on a highperformance computing framework located at Oak Ridge National Laboratory, and fine-resolution data from the LandScan Global Population Database. The initializations were slightly different, with ABM-1 using samples from a probability distribution and ABM-2 using polling data from Gallop for a deterministic initialization. The geographical and temporal domain was present-day Afghanistan, and the end result was the number of agents with one of three behavioral modes (proinsurgent, neutral, and pro-government) corresponding to the population mindshare. The theories embedded in each model were identical, and the test simulations focused on a test of three leadership theories - legitimacy, coercion, and representative, and two social mobilization theories - social influence and repression. The theories are tied together using the Cobb-Douglas utility function. Based on our results, the hypothesis that performance measures can be developed to compare and contrast AB models appears to be supported. Furthermore, we observed significant bias in the two models. Even so, further tests and investigations are required not only with a wider class of theories and AB models, but also with additional observed or simulated data and more comprehensive performance measures.
Complex families, the social determinants of health and psychosocial interventions: Deconstruction of a day in the life of hospital social workers.

Science.gov (United States)

Muskat, Barbara; Craig, Shelley L; Mathai, Biju

2017-09-01

The roles of hospital social workers are delineated in the literature; however, their daily interventions have only been described anecdotally. This study analyzes the daily work of social workers in a pediatric hospital through a survey completed which examined factors related to interventions utilized and time spent per case over a 1-day period. Length and types of interventions were associated with the social determinants of health, time since diagnosis, biopsychosocial issues, and perception of complexity. The study offers a snapshot of the personalized expertise, provided by social workers that addresses complex contextual and biopsychosocial concerns of patient and families.
Evidence of social understanding impairment in patients with amyotrophic lateral sclerosis.

Directory of Open Access Journals (Sweden)

Marco Cavallo

Full Text Available The present study aims at clarifying the nature of the Theory of Mind (ToM deficits associated with Amyotrophic Lateral Sclerosis (ALS. ToM is the ability to attribute mental states such as intentions and beliefs to others in order to understand and predict their behaviour and to behave accordingly. Several neuroimaging studies reported the prefrontal cortices as the brain region underlying a key ToM ability, i.e. the comprehension of social intentions. Dysfunction of the prefrontal cortices in patients with ALS has been indicated by a range of neuroimaging studies. The frontal syndrome that appears to characterize up to 50% of ALS has been noted to be similar to the profile that characterizes patients with frontotemporal dementia (FTD, a neurodegenerative condition characterised by ToM deficits. In the present paper, we hypothesize that the performance of patients with ALS is significantly worse than healthy controls' performance on tasks requiring the comprehension of social contexts, whereas patients' performance is comparable to healthy controls' performance on tasks not requiring the comprehension of social contexts. To this end, we tested 15 patients with ALS with an experimental protocol that distinguishes between private (non-social intentions and social intentions. The pattern of results followed the experimental hypothesis: the performance of patients with ALS and healthy controls significantly differed on the comprehension of social context only, with an impairment in patients with ALS. Single case analysis confirmed the findings at an individual level. The present study is the first which has examined and compared the understanding of social and non-social contexts in patients with ALS and shown a specific and selective deficit in the former only. The current findings further support the notion of a continuum of cognitive dysfunction ranging from ALS to FTD, with parallel cognitive profiles in both disorders.
Evidence of social understanding impairment in patients with amyotrophic lateral sclerosis.

Science.gov (United States)

Cavallo, Marco; Adenzato, Mauro; Macpherson, Sarah E; Karwig, Gillian; Enrici, Ivan; Abrahams, Sharon

2011-01-01

The present study aims at clarifying the nature of the Theory of Mind (ToM) deficits associated with Amyotrophic Lateral Sclerosis (ALS). ToM is the ability to attribute mental states such as intentions and beliefs to others in order to understand and predict their behaviour and to behave accordingly. Several neuroimaging studies reported the prefrontal cortices as the brain region underlying a key ToM ability, i.e. the comprehension of social intentions. Dysfunction of the prefrontal cortices in patients with ALS has been indicated by a range of neuroimaging studies. The frontal syndrome that appears to characterize up to 50% of ALS has been noted to be similar to the profile that characterizes patients with frontotemporal dementia (FTD), a neurodegenerative condition characterised by ToM deficits. In the present paper, we hypothesize that the performance of patients with ALS is significantly worse than healthy controls' performance on tasks requiring the comprehension of social contexts, whereas patients' performance is comparable to healthy controls' performance on tasks not requiring the comprehension of social contexts. To this end, we tested 15 patients with ALS with an experimental protocol that distinguishes between private (non-social) intentions and social intentions. The pattern of results followed the experimental hypothesis: the performance of patients with ALS and healthy controls significantly differed on the comprehension of social context only, with an impairment in patients with ALS. Single case analysis confirmed the findings at an individual level. The present study is the first which has examined and compared the understanding of social and non-social contexts in patients with ALS and shown a specific and selective deficit in the former only. The current findings further support the notion of a continuum of cognitive dysfunction ranging from ALS to FTD, with parallel cognitive profiles in both disorders.

More stereotypes, please! The limits of 'theory of mind' and the need for further studies on the complexity of real world social interactions.

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Andrews, Kristin

2017-01-01

I suggest that the Stereotype Rationality Hypothesis (Jussim 2012) is only partially right. I agree it is rational to rely on stereotypes, but in the complexity of real world social interactions, most of our individuating information invokes additional stereotypes. Despite assumptions to the contrary, there is reason to think theory of mind is not accurate, and social psychology's denial of stereotype accuracy led us toward mindreading/theory of mind - a less accurate account of how we understand other people.
A complementary marriage of perspectives: understanding organizational social context using mixed methods

OpenAIRE

Beidas, Rinad S; Wolk, Courtney L Benjamin; Walsh, Lucia M; Evans, Arthur C; Hurford, Matthew O; Barg, Frances K

2014-01-01

Background Organizational factors impact the delivery of mental health services in community settings. Mixed-methods analytic approaches have been recommended, though little research within implementation science has explicitly compared inductive and deductive perspectives to understand their relative value in understanding the same constructs. The purpose of our study is to use two different paradigmatic approaches to deepen our understanding of organizational social context. We accomplish t...
Mitigating Local Natural Disaster through Social Aware Preparedness Using Complexity Approach

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Supadli, Irwan; Saputri, Andini; Mawengkang, Herman

2018-01-01

During and after natural disaster, such as, eruption of vulcano, many people have to abandon their living place to a temporary shelter. Usually, there could be several time for the occurrence of the eruption. This situation, for example, happened at Sinabung vulcano, located in Karo district of North Sumatera Province, Indonesia. The people in the disaster area have become indifferent. In terms of the society, the local natural disaster problem belong to a complex societal problem. This research is to find a way what should be done to these society to raise their social awareness that they had experienced serious natural disaster and they will be able to live normally and sustainable as before. Societal complexity approach is used to solve the problems. Social studies referred to in this activity are to analyze the social impacts arising from the implementation of the relocation itself. Scope of social impact assessments include are The social impact of the development program of relocation, including the impact of construction activities and long-term impact of construction activity, particularly related to the source and use of clean water, sewerage system, drainage and waste management (solid waste), Social impacts arising associated with occupant relocation sites and the availability of infrastructure (public facilities, include: worship facilities, health and education) in the local environment (pre-existing). Social analysis carried out on the findings of the field, the study related documents and observations of the condition of the existing social environment Siosar settlements.
The importance of including dynamic social networks when modeling epidemics of airborne infections: does increasing complexity increase accuracy?

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Blower, Sally; Go, Myong-Hyun

2011-07-19

Mathematical models are useful tools for understanding and predicting epidemics. A recent innovative modeling study by Stehle and colleagues addressed the issue of how complex models need to be to ensure accuracy. The authors collected data on face-to-face contacts during a two-day conference. They then constructed a series of dynamic social contact networks, each of which was used to model an epidemic generated by a fast-spreading airborne pathogen. Intriguingly, Stehle and colleagues found that increasing model complexity did not always increase accuracy. Specifically, the most detailed contact network and a simplified version of this network generated very similar results. These results are extremely interesting and require further exploration to determine their generalizability.
Disentangling Memories. Complex (Be)longings and Social Categories

DEFF Research Database (Denmark)

Pedersen, Chistina Hee; Frølunde, Lisbeth

2013-01-01

This presentation analyses the complex workings of social categories in constructions of (be)longing in memories of young university students in Bolivia and Peru. In a methodology course the participants explored how socio economic and socio cultural differences had affected the lives...... belonging to a specific social or racial group. (Be)longing to a specific gendered and radicalised body constitutes in the analysis of these stories an excellent “location,” from which to analyse how socio/cultural and socio/economic categories like class, nationality and age intersect with one another...... to produce insights and consciousness about the socio-cultural impact of sense making processes....
Social relations: A critical reflection on the notion of social impacts as change

International Nuclear Information System (INIS)

Serje, Margarita

2017-01-01

This article seeks to reflect upon the dominant conception of social impacts as the change produced by development projects and programs, and the ways in which those affected perceive and experience them. Identifying change may be a necessary but not sufficient step in acknowledging the complexity of social life. Engaging with critical scholarship produced in the fields of both social impact assessment (SIA) and of the social studies of technical/planned interventions, I discuss how the understanding of social impacts as change responds ultimately to a causal–instrumental logic that, in order to make sense of the complexity of social life, tends to reduce it to a series of variables and matrices. I suggest a complementary dialectical approach focusing on social relations. This approach, allows an alternative means of analysing social impacts concerning the way policies and projects reconfigure conditions and possibilities on a societal level. To accomplish this, and in order to go beyond the sequence of potential impacts (or changes) and their generic indicators, I propose a set of analytical questions that highlight how social relations are structured. Besides, on the assumption that development is both a form of governance and a space of contestation, negotiation, and activism, this approach may contribute to further the potential for reflection and mobilisation that the practice of SIA presents. - Highlights: •Change, which is inherent to social life, is insufficient to determine social impacts. •The critique of causal-instrumental logic provides insights to reflect on social impacts. •Social impacts should rather refer to how interventions reconfigure social relations. •The complex, mutually constitutive nature of social phenomena may thus be recognized. •SIA should go beyond change to the understanding of its socio-political significance.
Bringing content understanding into usability testing in complex application domains—a case study in eHealth

DEFF Research Database (Denmark)

Andersen, Simon Bruntse; Rasmussen, Claire Kirchert; Frøkjær, Erik

2017-01-01

A usability evaluation technique, Cooperative Usability Testing with Questions of Understanding (CUT with QU) intended to illuminate users’ ability to understand the content information of an application is proposed. In complex application domains as for instance the eHealth domain, this issue...... of users’ content understanding is sometimes crucial, and thus should be carefully evaluated. Unfortunately, conventional usability evaluation techniques do not address challenges of content understanding. In a case study within eHealth, specifically the setting of a rehabilitation clinic involving...... the participation of four physiotherapists and four clients in a period of 3.5 months, it was demonstrated how CUT with QU can complement conventional usability testing and provide insight into users’ challenges with understanding of a new complex eHealth application. More experiments in other complex application...
Associations between meal complexity and social context in four Nordic countries

DEFF Research Database (Denmark)

Kahma, Nina; Mäkelä, Johanna; Niva, Mari

2014-01-01

main meals, lunch and dinner. The analysis builds on the concept of eating system, examining the effect sociability has on meal complexity. In the end we ask whether complexity can better be explained by social context, or if it, rather, results from social differentiation. The data (N=8248) are drawn......Contemporary eating is often portrayed by images of snacking, solitary grazing, disintegration of sociability, demise of family meals, and increasingly irregular eating patterns –what Claude Fischler has famously described as gastroanomy. Inspired by the concept of eating system, this article...... from the Food in Nordic Everyday Life survey conducted in Denmark, Finland, Norway, and Sweden in 2012. The Finns and Swedes typically had two hot meals a day, whereas the Danes and Norwegians only had one. Moreover, the differences in the complexity were the greatest in hot dinners, the Danes...
Towards an evaluation framework for complex social systems

Science.gov (United States)

McDonald, Diane M.; Kay, Nigel

While there is growing realisation that the world in which we live in is highly complex with multiple interdependencies and irreducibly open to outside influence, how to make these 'systems' more manageable is still a significant outstanding issue. As (2004) suggests, applying the theoretical principles of Complex Systems may help solve complex problems in this complex world. While Bar-Yam provides examples of forward-thinking organisations which have begun to see the relevance of complex systems principles, for many organisations the language and concepts of complexity science such as self-organisation and unpredictability while they make theoretical sense offer no practical or acceptable method of implementation to those more familiar with definitive facts and classical hierarchical, deterministic approaches to control. Complexity Science explains why designed systems or interventions may not function as anticipated in differing environments, without providing a silver bullet which enables control or engineering of the system to ensure the desired results. One familiar process which might, if implemented with complex systems in mind, provide the basis of an accessible and understandable framework that enables policy makers and practitioners to better design and manage complex socio-technical systems is that of evaluation.
Developing Social Interaction and Understanding in Individuals with Autism Spectrum Disorder: A Groupwork Intervention

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MacKay, Tommy; Knott, Fiona; Dunlop, Aline-Wendy

2007-01-01

Background: Difficulties with social interaction and understanding lie at the heart of the communication disorder that characterises the autism spectrum. This study sought to improve social communication for individuals with autism spectrum disorder (ASD) by means of a groupwork intervention focusing on social and emotional perspective-taking,…
Evaluating the importance of social motor synchronization and motor skill for understanding autism.

Science.gov (United States)

Fitzpatrick, Paula; Romero, Veronica; Amaral, Joseph L; Duncan, Amie; Barnard, Holly; Richardson, Michael J; Schmidt, R C

2017-10-01

Impairments in social interaction and communicating with others are core features of autism spectrum disorder (ASD), but the specific processes underlying such social competence impairments are not well understood. An important key for increasing our understanding of ASD-specific social deficits may lie with the social motor synchronization that takes place when we implicitly coordinate our bodies with others. Here, we tested whether dynamical measures of synchronization differentiate children with ASD from controls and further explored the relationships between synchronization ability and motor control problems. We found (a) that children with ASD exhibited different and less stable patterns of social synchronization ability than controls; (b) children with ASD performed motor movements that were slower and more variable in both spacing and timing; and (c) some social synchronization that involved motor timing was related to motor ability but less rhythmic synchronization was not. These findings raise the possibility that objective dynamical measures of synchronization ability and motor skill could provide new insights into understanding the social deficits in ASD that could ultimately aid clinical diagnosis and prognosis. Autism Res 2017, 10: 1687-1699. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. © 2017 International Society for Autism Research, Wiley Periodicals, Inc.
Beyond Contagion: Reality Mining Reveals Complex Patterns of Social Influence.

Directory of Open Access Journals (Sweden)

Aamena Alshamsi

Full Text Available Contagion, a concept from epidemiology, has long been used to characterize social influence on people's behavior and affective (emotional states. While it has revealed many useful insights, it is not clear whether the contagion metaphor is sufficient to fully characterize the complex dynamics of psychological states in a social context. Using wearable sensors that capture daily face-to-face interaction, combined with three daily experience sampling surveys, we collected the most comprehensive data set of personality and emotion dynamics of an entire community of work. From this high-resolution data about actual (rather than self-reported face-to-face interaction, a complex picture emerges where contagion (that can be seen as adaptation of behavioral responses to the behavior of other people cannot fully capture the dynamics of transitory states. We found that social influence has two opposing effects on states: adaptation effects that go beyond mere contagion, and complementarity effects whereby individuals' behaviors tend to complement the behaviors of others. Surprisingly, these effects can exhibit completely different directions depending on the stable personality or emotional dispositions (stable traits of target individuals. Our findings provide a foundation for richer models of social dynamics, and have implications on organizational engineering and workplace well-being.
Beyond Contagion: Reality Mining Reveals Complex Patterns of Social Influence.

Science.gov (United States)

Alshamsi, Aamena; Pianesi, Fabio; Lepri, Bruno; Pentland, Alex; Rahwan, Iyad

2015-01-01

Contagion, a concept from epidemiology, has long been used to characterize social influence on people's behavior and affective (emotional) states. While it has revealed many useful insights, it is not clear whether the contagion metaphor is sufficient to fully characterize the complex dynamics of psychological states in a social context. Using wearable sensors that capture daily face-to-face interaction, combined with three daily experience sampling surveys, we collected the most comprehensive data set of personality and emotion dynamics of an entire community of work. From this high-resolution data about actual (rather than self-reported) face-to-face interaction, a complex picture emerges where contagion (that can be seen as adaptation of behavioral responses to the behavior of other people) cannot fully capture the dynamics of transitory states. We found that social influence has two opposing effects on states: adaptation effects that go beyond mere contagion, and complementarity effects whereby individuals' behaviors tend to complement the behaviors of others. Surprisingly, these effects can exhibit completely different directions depending on the stable personality or emotional dispositions (stable traits) of target individuals. Our findings provide a foundation for richer models of social dynamics, and have implications on organizational engineering and workplace well-being.
Understanding of Leaf Development—the Science of Complexity

Directory of Open Access Journals (Sweden)

Robert Malinowski

2013-06-01

Full Text Available The leaf is the major organ involved in light perception and conversion of solar energy into organic carbon. In order to adapt to different natural habitats, plants have developed a variety of leaf forms, ranging from simple to compound, with various forms of dissection. Due to the enormous cellular complexity of leaves, understanding the mechanisms regulating development of these organs is difficult. In recent years there has been a dramatic increase in the use of technically advanced imaging techniques and computational modeling in studies of leaf development. Additionally, molecular tools for manipulation of morphogenesis were successfully used for in planta verification of developmental models. Results of these interdisciplinary studies show that global growth patterns influencing final leaf form are generated by cooperative action of genetic, biochemical, and biomechanical inputs. This review summarizes recent progress in integrative studies on leaf development and illustrates how intrinsic features of leaves (including their cellular complexity influence the choice of experimental approach.
Disaster forensics understanding root cause and complex causality

CERN Document Server

2016-01-01

This book aims to uncover the root causes of natural and man-made disasters by going beyond the typical reports and case studies conducted post-disaster. It opens the black box of disasters by presenting ‘forensic analysis approaches’ to disasters, thereby revealing the complex causality that characterizes them and explaining how and why hazards do, or do not, become disasters. This yields ‘systemic’ strategies for managing disasters. Recently the global threat landscape has seen the emergence of high impact, low probability events. Events like Hurricane Katrina, the Great Japan Earthquake and tsunami, Hurricane Sandy, Super Typhoon Haiyan, global terrorist activities have become the new norm. Extreme events challenge our understanding regarding the interdependencies and complexity of the disaster aetiology and are often referred to as Black Swans. Between 2002 and 2011, there were 4130 disasters recorded that resulted from natural hazards around the world. In these, 1,117,527 people perished and a mi...
Social complexity, modernity and suicide: an assessment of Durkheim's suicide from the perspective of a non-linear analysis of complex social systems.

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Condorelli, Rosalia

2016-01-01

Can we share even today the same vision of modernity which Durkheim left us by its suicide analysis? or can society 'surprise us'? The answer to these questions can be inspired by several studies which found that beginning the second half of the twentieth century suicides in western countries more industrialized and modernized do not increase in a constant, linear way as modernization and social fragmentation process increases, as well as Durkheim's theory seems to lead us to predict. Despite continued modernizing process, they found stabilizing or falling overall suicide rate trends. Therefore, a gradual process of adaptation to the stress of modernization associated to low social integration levels seems to be activated in modern society. Assuming this perspective, the paper highlights as this tendency may be understood in the light of the new concept of social systems as complex adaptive systems, systems which are able to adapt to environmental perturbations and generate as a whole surprising, emergent effects due to nonlinear interactions among their components. So, in the frame of Nonlinear Dynamical System Modeling, we formalize the logic of suicide decision-making process responsible for changes at aggregate level in suicide growth rates by a nonlinear differential equation structured in a logistic way, and in so doing we attempt to capture the mechanism underlying the change process in suicide growth rate and to test the hypothesis that system's dynamics exhibits a restrained increase process as expression of an adaptation process to the liquidity of social ties in modern society. In particular, a Nonlinear Logistic Map is applied to suicide data in a modern society such as the Italian one from 1875 to 2010. The analytic results, seeming to confirm the idea of the activation of an adaptation process to the liquidity of social ties, constitutes an opportunity for a more general reflection on the current configuration of modern society, by relating the
Reducing Bullying: Application of Social Cognitive Theory

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Swearer, Susan M.; Wang, Cixin; Berry, Brandi; Myers, Zachary R.

2014-01-01

Social cognitive theory (SCT) is an important heuristic for understanding the complexity of bullying behaviors and the social nature of involvement in bullying. Bullying has been heralded as a social relationship problem, and the interplay between the individual and his or her social environment supports this conceptualization. SCT has been used…
Hypothesis: the chaos and complexity theory may help our understanding of fibromyalgia and similar maladies.

Science.gov (United States)

Martinez-Lavin, Manuel; Infante, Oscar; Lerma, Claudia

2008-02-01

Modern clinicians are often frustrated by their inability to understand fibromyalgia and similar maladies since these illnesses cannot be explained by the prevailing linear-reductionist medical paradigm. This article proposes that new concepts derived from the Complexity Theory may help understand the pathogenesis of fibromyalgia, chronic fatigue syndrome, and Gulf War syndrome. This hypothesis is based on the recent recognition of chaos fractals and complex systems in human physiology. These nonlinear dynamics concepts offer a different perspective to the notion of homeostasis and disease. They propose that the essence of disease is dysfunction and not structural damage. Studies using novel nonlinear instruments have shown that fibromyalgia and similar maladies may be caused by the degraded performance of our main complex adaptive system. This dysfunction explains the multifaceted manifestations of these entities. To understand and alleviate the suffering associated with these complex illnesses, a paradigm shift from reductionism to holism based on the Complexity Theory is suggested. This shift perceives health as resilient adaptation and some chronic illnesses as rigid dysfunction.
Social Complexity and Nesting Habits Are Factors in the Evolution of Antimicrobial Defences in Wasps

OpenAIRE

Hoggard, Stephen J.; Wilson, Peter D.; Beattie, Andrew J.; Stow, Adam J.

2011-01-01

Microbial diseases are important selective agents in social insects and one major defense mechanism is the secretion of cuticular antimicrobial compounds. We hypothesized that given differences in group size, social complexity, and nest type the secretions of these antimicrobials will be under different selective pressures. To test this we extracted secretions from nine wasp species of varying social complexity and nesting habits and assayed their antimicrobial compounds against cultures of S...
Individual differences in the spontaneous recruitment of brain regions supporting mental state understanding when viewing natural social scenes.

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Wagner, Dylan D; Kelley, William M; Heatherton, Todd F

2011-12-01

People are able to rapidly infer complex personality traits and mental states even from the most minimal person information. Research has shown that when observers view a natural scene containing people, they spend a disproportionate amount of their time looking at the social features (e.g., faces, bodies). Does this preference for social features merely reflect the biological salience of these features or are observers spontaneously attempting to make sense of complex social dynamics? Using functional neuroimaging, we investigated neural responses to social and nonsocial visual scenes in a large sample of participants (n = 48) who varied on an individual difference measure assessing empathy and mentalizing (i.e., empathizing). Compared with other scene categories, viewing natural social scenes activated regions associated with social cognition (e.g., dorsomedial prefrontal cortex and temporal poles). Moreover, activity in these regions during social scene viewing was strongly correlated with individual differences in empathizing. These findings offer neural evidence that observers spontaneously engage in social cognition when viewing complex social material but that the degree to which people do so is mediated by individual differences in trait empathizing.

Understanding a Successful Implementation of Organizational Social Media: A Multi-Site Case Study

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Lahman, Caroline D.

2017-01-01

The purpose of this dissertation was to examine the successful implementation of social media strategies in multiple organizations. Examining the factors an organization used to implement social media can provide the understanding of the benefits and risks associated with this technology. Some businesses are considered successful using social…
The Social Organization of Schooling

Science.gov (United States)

Hedges, Larry V., Ed.; Schneider, Barbara, Ed.

2005-01-01

Schools are complex social settings where students, teachers, administrators, and parents interact to shape a child's educational experience. Any effort to improve educational outcomes for America's children requires a dynamic understanding of the environments in which children learn. In "The Social Organization of Schooling", editors Larry Hedges…
What Difference Does It Make? Implicit, Explicit and Complex Social Cognition in Autism Spectrum Disorders

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Schaller, Ulrich M.; Rauh, Reinhold

2017-01-01

We tested social cognition abilities of adolescents with autism spectrum disorders (ASD) and neurotypically developed peers (NTD). A multi-faceted test-battery including facial emotion categorization (FEC), classical false belief tasks (FBT), and complex social cognition (SC), yielded significantly lower accuracy rates for FEC and complex SC tasks…
Entropy: A Unifying Path for Understanding Complexity in Natural, Artificial and Social Systems

Science.gov (United States)

2011-07-01

details can be seen. Figure 24 – Rank frequency functions of plays ( Shakespeare ) and books (Dickens) fitted by the generalizations of the...0-387-75888-6]. [4] Tsallis, C. (2009b). Introduction to Nonextensive Statistical Mechanics - Approaching a Complex World. (Springer, New York
Applying a complex adaptive system's understanding of health to primary care [version 2; referees: 2 approved

Directory of Open Access Journals (Sweden)

Johannes Bircher

2016-09-01

Full Text Available This paper explores the diagnostic and therapeutic potential of a new concept of health. Investigations into the nature of health have led to a new definition that explains health as a complex adaptive system (CAS and is based on five components (a-e. Humans like all biological creatures must satisfactorily respond to (a the demands of life. For this purpose they need (b a biologically given potential (BGP and (c a personally acquired potential (PAP. These properties of individuals are embedded within (d social and (e environmental determinants of health. Between these five components of health there are 10 complex interactions that justify viewing health as a CAS. In each patient, the current state of health as a CAS evolved from the past, will move forward to a new future, and has to be analyzed and treated as an autonomous whole. A diagnostic procedure is suggested as follows: together with the patient, the five components and 10 complex interactions are assessed. This may help patients to better understand their situations and to recognize possible next steps that may be useful in order to evolve toward better health by themselves. In this process mutual trust in the patient-physician interaction is critical. The described approach offers new possibilities for helping patients improve their health prospects.
Understanding the dynamics of sustainable change: A 20-year case study of integrated health and social care.

Science.gov (United States)

Klinga, Charlotte; Hasson, Henna; Andreen Sachs, Magna; Hansson, Johan

2018-06-04

Change initiatives face many challenges, and only a few lead to long-term sustainability. One area in which the challenge of achieving long-term sustainability is particularly noticeable is integrated health and social care. Service integration is crucial for a wide range of patients including people with complex mental health and social care needs. However, previous research has focused on the initiation, resistance and implementation of change, while longitudinal studies remain sparse. The objective of this study was therefore to gain insight into the dynamics of sustainable changes in integrated health and social care through an analysis of local actions that were triggered by a national policy. A retrospective and qualitative case-study research design was used, and data from the model organisation's steering-committee minutes covering 1995-2015 were gathered and analysed. The analysis generated a narrative case description, which was mirrored to the key elements of the Dynamic Sustainability Framework (DSF). The development of inter-sectoral cooperation was characterized by a participatory approach in which a shared structure was created to support cooperation and on-going quality improvement and learning based on the needs of the service user. A key management principle was cooperation, not only on all organisational levels, but also with service users, stakeholder associations and other partner organisations. It was shown that all these parts were interrelated and collectively contributed to the creation of a structure and a culture which supported the development of a dynamic sustainable health and social care. This study provides valuable insights into the dynamics of organizational sustainability and understanding of key managerial actions taken to establish, develop and support integration of health and social care for people with complex mental health needs. The service user involvement and regular reviews of service users' needs were essential in order
Synchronization in complex networks

Energy Technology Data Exchange (ETDEWEB)

Arenas, A.; Diaz-Guilera, A.; Moreno, Y.; Zhou, C.; Kurths, J.

2007-12-12

Synchronization processes in populations of locally interacting elements are in the focus of intense research in physical, biological, chemical, technological and social systems. The many efforts devoted to understand synchronization phenomena in natural systems take now advantage of the recent theory of complex networks. In this review, we report the advances in the comprehension of synchronization phenomena when oscillating elements are constrained to interact in a complex network topology. We also overview the new emergent features coming out from the interplay between the structure and the function of the underlying pattern of connections. Extensive numerical work as well as analytical approaches to the problem are presented. Finally, we review several applications of synchronization in complex networks to different disciplines: biological systems and neuroscience, engineering and computer science, and economy and social sciences.
Understanding social media logic

NARCIS (Netherlands)

van Dijck, J.; Poell, T.

2013-01-01

Over the past decade, social media platforms have penetrated deeply into the mechanics of everyday life, affecting people's informal interactions, as well as institutional structures and professional routines. Far from being neutral platforms for everyone, social media have changed the conditions
Understanding protected area resilience: a multi-scale, social-ecological approach

Science.gov (United States)

Cumming, Graeme S.; Allen, Craig R.; Ban, Natalie C.; Biggs, Duan; Biggs, Harry C.; Cumming, David H.M; De Vos, Alta; Epstein, Graham; Etienne, Michel; Maciejewski, Kristine; Mathevet, Raphael; Moore, Christine; Nenadovic, Mateja; Schoon, Michael

2015-01-01

Protected areas (PAs) remain central to the conservation of biodiversity. Classical PAs were conceived as areas that would be set aside to maintain a natural state with minimal human influence. However, global environmental change and growing cross-scale anthropogenic influences mean that PAs can no longer be thought of as ecological islands that function independently of the broader social-ecological system in which they are located. For PAs to be resilient (and to contribute to broader social-ecological resilience), they must be able to adapt to changing social and ecological conditions over time in a way that supports the long-term persistence of populations, communities, and ecosystems of conservation concern. We extend Ostrom's social-ecological systems framework to consider the long-term persistence of PAs, as a form of land use embedded in social-ecological systems, with important cross-scale feedbacks. Most notably, we highlight the cross-scale influences and feedbacks on PAs that exist from the local to the global scale, contextualizing PAs within multi-scale social-ecological functional landscapes. Such functional landscapes are integral to understand and manage individual PAs for long-term sustainability. We illustrate our conceptual contribution with three case studies that highlight cross-scale feedbacks and social-ecological interactions in the functioning of PAs and in relation to regional resilience. Our analysis suggests that while ecological, economic, and social processes are often directly relevant to PAs at finer scales, at broader scales, the dominant processes that shape and alter PA resilience are primarily social and economic.
An Inconvenient Identity: Paradox, Complexity, and Strategies in a Social Foundations Classroom

Science.gov (United States)

Cao, Wei

2011-01-01

This article addresses the paradox and complexity of the interactions of the social-cultural context of my students and my identity, as a female Chinese junior professor in social foundations/diversity in my predominantly European American urban classroom. This article will describe the hidden dimensions of teaching diversity courses, the…
Resilient Social Relationships and Collaboration in the Management of Social-Ecological Systems

Directory of Open Access Journals (Sweden)

Abraham B. Nkhata

2008-06-01

Full Text Available This paper proposes and articulates a social relationships perspective of collaboration in the management of social-ecological systems (SESs. It provides a conceptual premise for understanding the dynamics of long-term social relationships that underlie collaborative processes. We argue that a resilience approach offers a better perspective for the study of change in long-term relationships. A conceptual framework based on the theories of resilience and social relationships is developed for analyzing the evolution of collaborative schemes. The essence of the framework is to facilitate understanding and building of resilient social relationships for effective collaboration through interpreting and managing relational change. We suggest that an analysis of resilient social relationships requires an understanding of the complexity and extent of relational change. The elements of a behavioral approach to relationships theory are discussed as a foundation for resilient social relationships. By incorporating the models of Holling (1995 and Cousins (2002 into a behavioral approach to relationships theory, the framework we propose can be used to determine the potential for change based on the amount of relational capital and the degree of relational connectedness in long-term social relationships.
Fostering Complexity Thinking in Action Research for Change in Social-Ecological Systems

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Kevin H. Rogers

2013-06-01

Full Text Available Complexity thinking is increasingly being embraced by a wide range of academics and professionals as imperative for dealing with today's pressing social-ecological challenges. In this context, action researchers partner directly with stakeholders (communities, governance institutions, and work resource managers, etc. to embed a complexity frame of reference for decision making. In doing so, both researchers and stakeholders must strive to internalize not only "intellectual complexity" (knowing but also "lived complexity" (being and practicing. Four common conceptualizations of learning (explicit/tacit knowledge framework; unlearning selective exposure; conscious/competence learning matrix; and model of learning loops are integrated to provide a new framework that describes how learning takes place in complex systems. Deep reflection leading to transformational learning is required to foster the changes in mindset and behaviors needed to adopt a complexity frame of reference. We then present three broad frames of mind (openness, situational awareness, and a healthy respect for the restraint/action paradox, which each encompass a set of habits of mind, to create a useful framework that allows one to unlearn reductionist habits while adopting and embedding those more conducive to working in complex systems. Habits of mind provide useful heuristic tools to guide researchers and stakeholders through processes of participative planning and adaptive decision making in complex social-ecological systems.
Graduate Social Work Education and Cognitive Complexity: Does Prior Experience Really Matter?

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Simmons, Chris

2014-01-01

This study examined the extent to which age, education, and practice experience among social work graduate students (N = 184) predicted cognitive complexity, an essential aspect of critical thinking. In the regression analysis, education accounted for more of the variance associated with cognitive complexity than age and practice experience. When…
From biological and social network metaphors to coupled bio-social wireless networks

Science.gov (United States)

Barrett, Christopher L.; Eubank, Stephen; Anil Kumar, V.S.; Marathe, Madhav V.

2010-01-01

Biological and social analogies have been long applied to complex systems. Inspiration has been drawn from biological solutions to solve problems in engineering products and systems, ranging from Velcro to camouflage to robotics to adaptive and learning computing methods. In this paper, we present an overview of recent advances in understanding biological systems as networks and use this understanding to design and analyse wireless communication networks. We expand on two applications, namely cognitive sensing and control and wireless epidemiology. We discuss how our work in these two applications is motivated by biological metaphors. We believe that recent advances in computing and communications coupled with advances in health and social sciences raise the possibility of studying coupled bio-social communication networks. We argue that we can better utilise the advances in our understanding of one class of networks to better our understanding of the other. PMID:21643462
Automatic Understanding of Affective and Social Signals by Multimodal Mimicry Recognition

NARCIS (Netherlands)

Sun, X.; Truong, Khiet Phuong; Nijholt, Antinus; Pantic, Maja; D' Mello, S.; Graesser, A.; Schuller, B.; Martin, J-C.

2011-01-01

Human mimicry is one of the important behavioral cues displayed during social interaction that inform us about the interlocutors' interpersonal states and attitudes. For example, the absence of mimicry is usually associated with negative attitudes. A system capable of analyzing and understanding
Impact of Social Punishment on Cooperative Behavior in Complex Networks

Science.gov (United States)

Wang, Zhen; Xia, Cheng-Yi; Meloni, Sandro; Zhou, Chang-Song; Moreno, Yamir

2013-10-01

Social punishment is a mechanism by which cooperative individuals spend part of their resources to penalize defectors. In this paper, we study the evolution of cooperation in 2-person evolutionary games on networks when a mechanism for social punishment is introduced. Specifically, we introduce a new kind of role, punisher, which is aimed at reducing the earnings of defectors by applying to them a social fee. Results from numerical simulations show that different equilibria allowing the three strategies to coexist are possible as well as that social punishment further enhance the robustness of cooperation. Our results are confirmed for different network topologies and two evolutionary games. In addition, we analyze the microscopic mechanisms that give rise to the observed macroscopic behaviors in both homogeneous and heterogeneous networks. Our conclusions might provide additional insights for understanding the roots of cooperation in social systems.
Participatory Ethnographic Evaluation and Research: Reflections on the Research Approach Used to Understand the Complexity of Maternal Health Issues in South Sudan.

Science.gov (United States)

Elmusharaf, Khalifa; Byrne, Elaine; Manandhar, Mary; Hemmings, Joanne; O'Donovan, Diarmuid

2017-07-01

Many methodological approaches have been used to understand cultural dimensions to maternal health issues. Although a well-designed quantitative survey with a representative sample can provide essential information on trends in behavior, it does not necessarily establish a contextualized understanding of the complexity in which different behaviors occur. This article addresses how contextualized data can be collected in a short time and under conditions in which participants in conflict-affected zones might not have established, or time to establish, trust with the researchers. The solution, the Participatory Ethnographic Evaluation and Research (PEER) approach, is illustrated through a study whereby South Sudanese marginalized women were trained to design research instruments, and collect and analyze qualitative data. PEER overcomes the problem that many ethnographic or participatory approaches face-the extensive time and resources required to develop trusting relationships with the community to understand the local context and the social networks they form.
Narrativity and enaction: the social nature of literary narrative understanding.

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Popova, Yanna B

2014-01-01

This paper proposes an understanding of literary narrative as a form of social cognition and situates the study of such narratives in relation to the new comprehensive approach to human cognition, enaction. The particular form of enactive cognition that narrative understanding is proposed to depend on is that of participatory sense-making, as developed in the work of Di Paolo and De Jaegher. Currently there is no consensus as to what makes a good literary narrative, how it is understood, and why it plays such an irreplaceable role in human experience. The proposal thus identifies a gap in the existing research on narrative by describing narrative as a form of intersubjective process of sense-making between two agents, a teller and a reader. It argues that making sense of narrative literature is an interactional process of co-constructing a story-world with a narrator. Such an understanding of narrative makes a decisive break with both text-centered approaches that have dominated both structuralist and early cognitivist study of narrative, as well as pragmatic communicative ones that view narrative as a form of linguistic implicature. The interactive experience that narrative affords and necessitates at the same time, I argue, serves to highlight the active yet cooperative and communal nature of human sociality, expressed in the many forms than human beings interact in, including literary ones.
Narrativity and Enaction: The Social Nature of Literary Narrative Understanding

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Yanna B. Popova

2014-08-01

Full Text Available This paper proposes an understanding of literary narrative as a form of social cognition and situates the study of such narratives in relation to the new comprehensive approach to human cognition, enaction. The particular form of enactive cognition that narrative understanding is proposed to depend on is that of participatory sense-making, as developed in the work of Di Paolo and De Jaegher. Currently there is no consensus as to what makes a good literary narrative, how it is understood, and why it plays such an irreplaceable role in human experience. The proposal thus identifies a gap in the existing research on narrative by describing narrative as a form of intersubjective process of sense-making between two agents, a teller and a reader. It argues that making sense of narrative literature is an interactional process of co-constructing a story-world with a narrator. Such an understanding of narrative makes a decisive break with both text-centered approaches that have dominated both structuralist and early cognitivist study of narrative, as well as pragmatic communicative ones that view narrative as a form of linguistic implicature. The interactive experience that narrative affords and necessitates at the same time, I argue, serves to highlight the active yet cooperative and communal nature of human sociality, expressed in the many forms than human beings interact in, including literary ones.
Socio-Pedagogical Complex as a Pedagogical Support Technology of Students' Social Adaptation

Science.gov (United States)

Sadovaya, Victoriya V.; Simonova, Galina I.

2016-01-01

The relevance of the problem stated in the article is determined by the need of developing technological approaches to pedagogical support of students' social adaptation. The purpose of this paper is to position the technological sequence of pedagogical support of students' social adaptation in the activities of the socio-pedagogical complex. The…

Understanding Social Learning Behaviors via a Virtual Field Trip

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Xin Bai

2014-06-01

Full Text Available This is a multidisciplinary study investigating how a virtual rather than face-to-face field trip can be conducted in a real-world setting and how students respond to such a social learning opportunity. Our participants followed a story of a stroke patient at her virtual home and in a virtual hospital via a teaching vignette. They were then given a new case and got on a virtual trip via a multiuser virtual environment. They played the roles of patients, relatives, doctors, or nurses, experiencing the emotional, physical, or social impacts those stakeholders may go through. Our study finds the overall participation of the Virtual Group is 50% more than the Text Group. Although the Virtual Group generates much more nodes in total, they focused much less on knowledge sharing and comparing than the Text Group (46 vs. 67, but more on other higher-level aspects of social interactions, such as knowledge discovery (57 vs. 42, co-construction (66 vs. 39, testing and modification (58 vs. 24 and application of newly constructed meaning (60 vs. 16. Analysis of students’ virtual field activities and in-depth discussions of important issues implied are included to help understand social learning behaviors during a virtual field trip. Sustainability of such systems is discussed.
COMPLEXITY AND UNIVERSITY

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Edna Lemes Martins Pereira

2013-12-01

Full Text Available Economic globalization affects different countries on the globe, has positive effects mainly related to access to communication, which promotes the exchange of ideas, information, products and quality of life. However, extends numerous negative aspects such as marginalization, economic dependencies, political, cultural, scientific, educational accentuate social inequalities and cultural conflicts and territorial. In this article it is a dialogue with authors (Cunha 2009; BARNETT 2005; MORIN 1999, 2006, among others, who understand these changes in society from the contemporary world as conceived as the "Complexity era" or "supercomplexity". To understand and cope with this reality, they propose a paradigm that is able to overcome the fragmentation and reductionism of knowledge and to relate the multiple approaches and visions to meet the complexity of reality. Although this paper presents proposals to the aforementioned authors point to education and the university found in this tangle of interconnected global transformations, given the need to be subject to act in a complex reality that requires critical and self-critical professionals, able to think about their own ability to think, understand and act within this complex context.
Nonlinear model of epidemic spreading in a complex social network.

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Kosiński, Robert A; Grabowski, A

2007-10-01

The epidemic spreading in a human society is a complex process, which can be described on the basis of a nonlinear mathematical model. In such an approach the complex and hierarchical structure of social network (which has implications for the spreading of pathogens and can be treated as a complex network), can be taken into account. In our model each individual has one of the four permitted states: susceptible, infected, infective, unsusceptible or dead. This refers to the SEIR model used in epidemiology. The state of an individual changes in time, depending on the previous state and the interactions with other individuals. The description of the interpersonal contacts is based on the experimental observations of the social relations in the community. It includes spatial localization of the individuals and hierarchical structure of interpersonal interactions. Numerical simulations were performed for different types of epidemics, giving the progress of a spreading process and typical relationships (e.g. range of epidemic in time, the epidemic curve). The spreading process has a complex and spatially chaotic character. The time dependence of the number of infective individuals shows the nonlinear character of the spreading process. We investigate the influence of the preventive vaccinations on the spreading process. In particular, for a critical value of preventively vaccinated individuals the percolation threshold is observed and the epidemic is suppressed.
A social ecology approach to understanding urban ecosystems and landscapes

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J. Morgan Grove; Karen E. Hinson; Robert J. Northrop

2003-01-01

The shape and dynamics of cities are the result of physical, biological, and social forces. We include the term dynamic to emphasize that cities change over time and are the result of both idiosyncratic events and dominant trends. To begin to understand the patterns and processes of cities, we approach the idiosyncratic and dominant - whether it is physical, biological...
Social networks as the context for understanding employment services utilization among homeless youth.

Science.gov (United States)

Barman-Adhikari, Anamika; Rice, Eric

2014-08-01

Little is known about the factors associated with use of employment services among homeless youth. Social network characteristics have been known to be influential in motivating people's decision to seek services. Traditional theoretical frameworks applied to studies of service use emphasize individual factors over social contexts and interactions. Using key social network, social capital, and social influence theories, this paper developed an integrated theoretical framework that capture the social network processes that act as barriers or facilitators of use of employment services by homeless youth, and understand empirically, the salience of each of these constructs in influencing the use of employment services among homeless youth. We used the "Event based-approach" strategy to recruit a sample of 136 homeless youth at one drop-in agency serving homeless youth in Los Angeles, California in 2008. The participants were queried regarding their individual and network characteristics. Data were entered into NetDraw 2.090 and the spring embedder routine was used to generate the network visualizations. Logistic regression was used to assess the influence of the network characteristics on use of employment services. The study findings suggest that social capital is more significant in understanding why homeless youth use employment services, relative to network structure and network influence. In particular, bonding and bridging social capital were found to have differential effects on use of employment services among this population. The results from this study provide specific directions for interventions aimed to increase use of employment services among homeless youth. Copyright © 2014 Elsevier Ltd. All rights reserved.
A Deeper Look into the Complex Relationship between Social Media Use and Academic Outcomes and Attitudes

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Hassell, Martin D.; Sukalich, Mary F.

2016-01-01

Introduction: The use of social media is prevalent among college students, and it is important to understand how social media use may impact students' attitudes and behaviour. Prior studies have shown negative outcomes of social media use, but researchers have not fully discovered or fully understand the processes and implications of these…
Etoile Project : Social Intelligent ICT-System for very large scale education in complex systems

Science.gov (United States)

Bourgine, P.; Johnson, J.

2009-04-01

The project will devise new theory and implement new ICT-based methods of delivering high-quality low-cost postgraduate education to many thousands of people in a scalable way, with the cost of each extra student being negligible (Socially Intelligent Resource Mining system to gather large volumes of high quality educational resources from the internet; new methods to deconstruct these to produce a semantically tagged Learning Object Database; a Living Course Ecology to support the creation and maintenance of evolving course materials; systems to deliver courses; and a ‘socially intelligent assessment system'. The system will be tested on one to ten thousand postgraduate students in Europe working towards the Complex System Society's title of European PhD in Complex Systems. Étoile will have a very high impact both scientifically and socially by (i) the provision of new scalable ICT-based methods for providing very low cost scientific education, (ii) the creation of new mathematical and statistical theory for the multiscale dynamics of complex systems, (iii) the provision of a working example of adaptation and emergence in complex socio-technical systems, and (iv) making a major educational contribution to European complex systems science and its applications.
Innovation as Social Practice

DEFF Research Database (Denmark)

Sproedt, Henrik

2012-01-01

relational view on knowledge and knowing (Cook and Brown 1999; Carlile, 2004). I argue, that we do not understand, and consequently cannot support the complex social process of innovating with others across boundaries, if we only apply a hierarchical, divisional, system approach to knowledge. In order...... to meaningfully transform knowledge across boundaries we cannot separate it from knowing and context. We need to adopt a multi-level relational-practice view of knowledge and knowing, embracing the complex dynamic interplay between knowledge and knowing on different levels of the social: relating individuals...
Toward A Better Understanding of Perceived Complexity in Music: A Commentary on Eerola (2016

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Elizabeth Hellmuth Margulis

2016-07-01

Full Text Available Eerola (2016 evaluates models of musical complexity based on expectancy violation and information theory. This commentary notes the deep relationship between these two phenomena, and argues for a more active partnership between computational and psychological approaches in understanding perceptions of musical complexity.
Applying a social network analysis (SNA) approach to understanding radiologists' performance in reading mammograms

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Tavakoli Taba, Seyedamir; Hossain, Liaquat; Heard, Robert; Brennan, Patrick; Lee, Warwick; Lewis, Sarah

2017-03-01

Rationale and objectives: Observer performance has been widely studied through examining the characteristics of individuals. Applying a systems perspective, while understanding of the system's output, requires a study of the interactions between observers. This research explains a mixed methods approach to applying a social network analysis (SNA), together with a more traditional approach of examining personal/ individual characteristics in understanding observer performance in mammography. Materials and Methods: Using social networks theories and measures in order to understand observer performance, we designed a social networks survey instrument for collecting personal and network data about observers involved in mammography performance studies. We present the results of a study by our group where 31 Australian breast radiologists originally reviewed 60 mammographic cases (comprising of 20 abnormal and 40 normal cases) and then completed an online questionnaire about their social networks and personal characteristics. A jackknife free response operating characteristic (JAFROC) method was used to measure performance of radiologists. JAFROC was tested against various personal and network measures to verify the theoretical model. Results: The results from this study suggest a strong association between social networks and observer performance for Australian radiologists. Network factors accounted for 48% of variance in observer performance, in comparison to 15.5% for the personal characteristics for this study group. Conclusion: This study suggest a strong new direction for research into improving observer performance. Future studies in observer performance should consider social networks' influence as part of their research paradigm, with equal or greater vigour than traditional constructs of personal characteristics.
Evidence of complex contagion of information in social media: An experiment using Twitter bots.

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Bjarke Mønsted

Full Text Available It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is whether information spreads according to simple or complex dynamics: does each exposure to a piece of information have an independent probability of a user adopting it (simple contagion, or does this probability depend instead on the number of sources of exposure, increasing above some threshold (complex contagion? Most studies to date are observational and, therefore, unable to disentangle the effects of confounding factors such as social reinforcement, homophily, limited attention, or network community structure. Here we describe a novel controlled experiment that we performed on Twitter using 'social bots' deployed to carry out coordinated attempts at spreading information. We propose two Bayesian statistical models describing simple and complex contagion dynamics, and test the competing hypotheses. We provide experimental evidence that the complex contagion model describes the observed information diffusion behavior more accurately than simple contagion. Future applications of our results include more effective defenses against malicious propaganda campaigns on social media, improved marketing and advertisement strategies, and design of effective network intervention techniques.
Evidence of complex contagion of information in social media: An experiment using Twitter bots.

Science.gov (United States)

Mønsted, Bjarke; Sapieżyński, Piotr; Ferrara, Emilio; Lehmann, Sune

2017-01-01

It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is whether information spreads according to simple or complex dynamics: does each exposure to a piece of information have an independent probability of a user adopting it (simple contagion), or does this probability depend instead on the number of sources of exposure, increasing above some threshold (complex contagion)? Most studies to date are observational and, therefore, unable to disentangle the effects of confounding factors such as social reinforcement, homophily, limited attention, or network community structure. Here we describe a novel controlled experiment that we performed on Twitter using 'social bots' deployed to carry out coordinated attempts at spreading information. We propose two Bayesian statistical models describing simple and complex contagion dynamics, and test the competing hypotheses. We provide experimental evidence that the complex contagion model describes the observed information diffusion behavior more accurately than simple contagion. Future applications of our results include more effective defenses against malicious propaganda campaigns on social media, improved marketing and advertisement strategies, and design of effective network intervention techniques.
The importance of including dynamic social networks when modeling epidemics of airborne infections: does increasing complexity increase accuracy?

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Go Myong-Hyun

2011-07-01

Full Text Available Abstract Mathematical models are useful tools for understanding and predicting epidemics. A recent innovative modeling study by Stehle and colleagues addressed the issue of how complex models need to be to ensure accuracy. The authors collected data on face-to-face contacts during a two-day conference. They then constructed a series of dynamic social contact networks, each of which was used to model an epidemic generated by a fast-spreading airborne pathogen. Intriguingly, Stehle and colleagues found that increasing model complexity did not always increase accuracy. Specifically, the most detailed contact network and a simplified version of this network generated very similar results. These results are extremely interesting and require further exploration to determine their generalizability. Please see related article BMC Medicine, 2011, 9:87
Bridging the Gap between Scientific and Indigenous knowledge to Better Understand Social Impacts of Changing Rainfall Regimes

Science.gov (United States)

Lynch, A. H.; Joachim, L.; Zhu, X.; Hammer, C.; Harris, M.; Griggs, D.

2011-12-01

The Murray-Darling Basin incorporates Australia's three longest rivers and is important for an agricultural industry worth more than $9 billion per annum, a rich biodiversity of habitat and species, and the very life of its traditional owners. The complex and sometimes enigmatic relationships between modes of variability and Australian regional rainfall distribution means that reliable projections of future water availability remain highly uncertain. Persistent drought, with associated heat stress and high fire danger, and episodic flooding rains present further challenges. Indeed, recent extremes likely herald a tipping point for the communities and ecosystems that rely on the river system. The Barmah-Millewa region in the Murray-Darling Basin is the heart of Yorta Yorta Traditional Tribal Lands. The Yorta Yorta continue to assert their inherent rights to country and have shown through oral, documentary and material evidence, that their social, spiritual, economic and cultural links with country have never been broken. Current water policy and practice, highly contested community consultation processes, cross-border governance issues and a changing social landscape create in this region a microcosm for understanding the complex demands of economic, environmental and cultural security along the Murray-Darling Basin as the climate changes. New approaches to bridging the gap between scientific and Indigenous epistemologies have emerged in recent years, including for example ecosystem-based adaptation (Vignola et al. 2009) and the analysis of cultural water flows (Weir 2010). The potential for innovation using these approaches has informed a study that investigates how the deep knowledge of country of the Yorta Yorta people can be combined with state of the art climate science to develop a better understanding of the competing demands on water resources in the Barmah-Millewa region now and in the future. An important dimension of this collaborative work with the Yorta
SOCIAL MEASUREMENT OF YOUTH’S HEALTH: DESIGNING OF INDICATORS OF COMPLEX SOCIOLOGICAL RESEARCH

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Vitalii Valeriyevich Kulish

2017-06-01

Full Text Available Purpose. The article is devoted to solving the problem of social measurement of modern youth’s health. The subject of the analysis is the content of the concept, characteristics and indicators of the social health of young people, which enable using sociological research’ methods to measure a given status of the younger generation in contemporary Russian society. The purpose of this work is to define the theoretical and methodological foundations of the sociological analysis of the young people social health and to substantiate its main indicators in the tools of complex sociological research. Methodology of the study. The basis of the research is formed by the system approach, the complex approach, the logical-conceptual method and general scientific methods of research: comparative analysis, system analysis, construction of social indicators, modeling. Results. The social health of young people is defined through the category “status” and is considered as an integrated indicator of the social quality of the younger generation. It is substantiated that the social health of youth is a status of socio-demographic community in which it is able not only to adapt to the changing conditions of the social environment but is also ready to transform actively the surrounding reality, having the potential to resist destructive social phenomena and processes. The main indicators that allow measuring the social health of young people by sociological methods are determined: adaptability in the social environment, social activity in all spheres of public life, social orientation and significance of activity, behavior regulativity by social norms and universal values, creativity of thinking and behavior, readiness for social integration and self-development. A system of social indicators and indicators for conducting a sociological study of social health in historical memory, value orientations and everyday practices of young people has been developed.
Towards a Molecular Understanding of the Fanconi Anemia Core Complex

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Charlotte Hodson

2012-01-01

Full Text Available Fanconi Anemia (FA is a genetic disorder characterized by the inability of patient cells to repair DNA damage caused by interstrand crosslinking agents. There are currently 14 verified FA genes, where mutation of any single gene prevents repair of DNA interstrand crosslinks (ICLs. The accumulation of ICL damage results in genome instability and patients having a high predisposition to cancers. The key event of the FA pathway is dependent on an eight-protein core complex (CC, required for the monoubiquitination of each member of the FANCD2-FANCI complex. Interestingly, the majority of patient mutations reside in the CC. The molecular mechanisms underlying the requirement for such a large complex to carry out a monoubiquitination event remain a mystery. This paper documents the extensive efforts of researchers so far to understand the molecular roles of the CC proteins with regard to its main function in the FA pathway, the monoubiquitination of FANCD2 and FANCI.
Towards a Molecular Understanding of the Fanconi Anemia Core Complex

Science.gov (United States)

Hodson, Charlotte; Walden, Helen

2012-01-01

Fanconi Anemia (FA) is a genetic disorder characterized by the inability of patient cells to repair DNA damage caused by interstrand crosslinking agents. There are currently 14 verified FA genes, where mutation of any single gene prevents repair of DNA interstrand crosslinks (ICLs). The accumulation of ICL damage results in genome instability and patients having a high predisposition to cancers. The key event of the FA pathway is dependent on an eight-protein core complex (CC), required for the monoubiquitination of each member of the FANCD2-FANCI complex. Interestingly, the majority of patient mutations reside in the CC. The molecular mechanisms underlying the requirement for such a large complex to carry out a monoubiquitination event remain a mystery. This paper documents the extensive efforts of researchers so far to understand the molecular roles of the CC proteins with regard to its main function in the FA pathway, the monoubiquitination of FANCD2 and FANCI. PMID:22675617
Understanding complexity in managing agro-pastoral dams ecosystem services in Northern Benin

NARCIS (Netherlands)

Kpera, G.N.

2015-01-01

Key words: conflict, water quality, crocodile, fish diversity, vegetable, watershed management, institutional changes, innovation system.

Understanding complexity in managing agro-pastoral dams ecosystem services in Northern Benin

Gnanki

Computations, Complexity, Experiments, and the World Outside Physics

International Nuclear Information System (INIS)

Kadanoff, L.P

2009-01-01

Computer Models in the Sciences and Social Sciences. 1. Simulation and Prediction in Complex Systems: the Good the Bad and the Awful. This lecture deals with the history of large-scale computer modeling mostly in the context of the U.S. Department of Energy's sponsorship of modeling for weapons development and innovation in energy sources. 2. Complexity: Making a Splash-Breaking a Neck - The Making of Complexity in Physical System. For ages thinkers have been asking how complexity arise. The laws of physics are very simple. How come we are so complex? This lecture tries to approach this question by asking how complexity arises in physical fluids. 3. Forrester, et. al. Social and Biological Model-Making The partial collapse of the world's economy has raised the question of whether we could improve the performance of economic and social systems by a major effort on creating understanding via large-scale computer models. (author)

Understanding Complex Human Ecosystems: The Case of Ecotourism on Bonaire

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Thomas Abel

2003-12-01

Full Text Available It is suggested that ecotourism development on the island of Bonaire can be productively understood as a perturbation of a complex human ecosystem. Inputs associated with ecotourism have fueled transformations of the island ecology and sociocultural system. The results of this study indicate that Bonaire's social and economic hierarchy is approaching a new, stable systems state following a 50-yr transition begun by government and industry that stabilized with the appearance of ecotourism development and population growth. Ecotourism can be understood to have "filled in" the middle of the production hierarchy of Bonaire. Interpreted from this perspective, population growth has completed the transformation by expanding into production niches at smaller scales in the production hierarchy. Both a consequence and a cause, ecotourism has transformed the island's social structure and demography. The theory and methods applied in this case study of interdisciplinary research in the field of human ecosystems are also presented.

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Is there Complex Trauma Experience typology for Australian's experiencing extreme social disadvantage and low housing stability?

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Keane, Carol A; Magee, Christopher A; Kelly, Peter J

2016-11-01

Traumatic childhood experiences predict many adverse outcomes in adulthood including Complex-PTSD. Understanding complex trauma within socially disadvantaged populations has important implications for policy development and intervention implementation. This paper examined the nature of complex trauma experienced by disadvantaged individuals using a latent class analysis (LCA) approach. Data were collected through the large-scale Journeys Home Study (N=1682), utilising a representative sample of individuals experiencing low housing stability. Data on adverse childhood experiences, adulthood interpersonal trauma and relevant covariates were collected through interviews at baseline (Wave 1). Latent class analysis (LCA) was conducted to identify distinct classes of childhood trauma history, which included physical assault, neglect, and sexual abuse. Multinomial logistic regression investigated childhood relevant factors associated with class membership such as biological relationship of primary carer at age 14 years and number of times in foster care. Of the total sample (N=1682), 99% reported traumatic adverse childhood experiences. The most common included witnessing of violence, threat/experience of physical abuse, and sexual assault. LCA identified six distinct childhood trauma history classes including high violence and multiple traumas. Significant covariate differences between classes included: gender, biological relationship of primary carer at age 14 years, and time in foster care. Identification of six distinct childhood trauma history profiles suggests there might be unique treatment implications for individuals living in extreme social disadvantage. Further research is required to examine the relationship between these classes of experience, consequent impact on adulthood engagement, and future transitions though homelessness. Copyright © 2016 Elsevier Ltd. All rights reserved.

Integrating Language, Pragmatics, and Social Intervention in a Single-Subject Case Study of a Child with a Developmental Social Communication Disorder

Science.gov (United States)

Adams, Catherine; Gaile, Jacqueline; Lockton, Elaine; Freed, Jenny

2015-01-01

Purpose: This clinical focus article presents an illustration of a complex communication intervention, the Social Communication Intervention Programme (SCIP), as delivered to a child who has a social communication disorder (SCD). The SCIP intervention combined language processing and pragmatic and social understanding therapies in a program of…

Understanding social and behavioral drivers and impacts of air quality sensor use.

Science.gov (United States)

Hubbell, Bryan J; Kaufman, Amanda; Rivers, Louie; Schulte, Kayla; Hagler, Gayle; Clougherty, Jane; Cascio, Wayne; Costa, Dan

2018-04-15

Lower-cost air quality sensors (hundreds to thousands of dollars) are now available to individuals and communities. This technology is undergoing a rapid and fragmented evolution, resulting in sensors that have uncertain data quality, measure different air pollutants and possess a variety of design attributes. Why and how individuals and communities choose to use sensors is arguably influenced by social context. For example, community experiences with environmental exposures and health effects and related interactions with industry and government can affect trust in traditional air quality monitoring. To date, little social science research has been conducted to evaluate why or how sensors, and sensor data, are used by individuals and communities, or how the introduction of sensors changes the relationship between communities and air quality managers. This commentary uses a risk governance/responsible innovation framework to identify opportunities for interdisciplinary research that brings together social scientists with air quality researchers involved in developing, testing, and deploying sensors in communities. Potential areas for social science research include communities of sensor users; drivers for use of sensors and sensor data; behavioral, socio-political, and ethical implications of introducing sensors into communities; assessing methods for communicating sensor data; and harnessing crowdsourcing capabilities to analyze sensor data. Social sciences can enhance understanding of perceptions, attitudes, behaviors, and other human factors that drive levels of engagement with and trust in different types of air quality data. New transdisciplinary research bridging social sciences, natural sciences, engineering, and design fields of study, and involving citizen scientists working with professionals from a variety of backgrounds, can increase our understanding of air sensor technology use and its impacts on air quality and public health. Published by Elsevier B.V.

Understanding Education for Social Justice

Science.gov (United States)

Hytten, Kathy; Bettez, Silvia C.

2011-01-01

It has become increasingly common for education scholars to claim a social justice orientation in their work. At the same time, education programs seem to be adding statements about the importance of social justice to their mission, and a growing number of teacher education programs are fundamentally oriented around a vision of social justice.…

Leveraging Social Media Data to Understand Disaster Resilience: A Case Study of Hurricane Isaac

Science.gov (United States)

Zou, L.; Lam, N.; Cai, H.

2017-12-01

Coastal communities are facing multiple threats from natural hazards, such as hurricanes, flooding, and storm surge, and show uneven response and recovery behaviors. To build a sustainable coast, it is critical to understand how coastal hazards affect humans and how to enhance disaster resilience. However, understanding community resilience remains challenging, due to the lack of real-time data describing community's response and recovery behaviors during disasters. Public discussion through social media platforms provides an opportunity to understand these behaviors by categorizing real-time social media data into three main phases of emergency management - preparedness, response, and recovery. This study analyzes the spatial-temporal patterns of Twitter use and content during Hurricane Isaac, which struck coastal Louisiana on August 29, 2012. The study area includes counties affected by Hurricane Isaac in Louisiana and Mississippi. The objectives are three-fold. First, we will compute a set of Twitter indices to quantify the Twitter activities during Hurricane Issac and the results will be compared with those of Hurricane Sandy to gain a better understanding of human response in extreme events. Second, county-level disaster resilience in the affected region will be computed and evaluated using the Resilience Inference Measurement (RIM) model. Third, we will examine the relationship between the geographical and social disparities in Twitter use and the disparities in disaster resilience and evaluate the role of Twitter use in disaster resilience. Knowledge gained from this study could provide valuable insights into strategies for utilizing social media data to increase resilience to disasters.

Crying in Context: Understanding Associations With Interpersonal Dependency and Social Support

Directory of Open Access Journals (Sweden)

Katherine L. Fiori

2013-06-01

Full Text Available This study examines the associations among interpersonal dependency, social support, and crying proneness, since crying is a behavior that is particularly relevant to the affiliative interpersonal goals characterizing maladaptive forms of dependency (Keltner & Kring, 1998. Data were collected from 305 first-year university students (M age = 18 years. A series of hierarchical linear regressions, controlling for gender, commuting status, romantic relationship status, stress, loneliness, and depressive symptoms, partially supported our hypotheses. That is, we found that a measure of maladaptive dependency (destructive overdependence, or DO and crying proneness were positively correlated, and that DO moderated the associations between social support and crying proneness. Specifically, we found that social support and crying were more closely positively associated among individuals high on DO compared to individuals low on DO. Our findings imply that interpersonal dependency may be an important factor in understanding individual differences in crying, and in determining whether crying is a successful elicitor of social support.

Human infants' understanding of social imitation: Inferences of affiliation from third party observations.

Science.gov (United States)

Powell, Lindsey J; Spelke, Elizabeth S

2018-01-01

Imitation is ubiquitous in positive social interactions. For adult and child observers, it also supports inferences about the participants in such interactions and their social relationships, but the origins of these inferences are obscure. Do infants attach social significance to this form of interaction? Here we test 4- to 5.5-month-old infants' interpretation of imitation, asking if the imitative interactions they observe support inferences of social affiliation, across 10 experimental conditions that varied the modality of the imitation (movement vs. sound), the roles of specific characters (imitators vs. targets), the number of characters in the displays (3 vs. 5), and the number of parties initiating affiliative test events (1 vs. 2). These experiments, together with one experiment conducted with 12-month-old infants, yielded three main findings. First, infants expect that characters who engaged in imitation will approach and affiliate with the characters whom they imitated. Second, infants show no evidence of expecting that characters who were targets of imitation will approach and affiliate with their imitators. Third, analyzing imitative interactions is difficult for young infants, whose expectations vary in strength depending on the number of characters to be tracked and the number of affiliative actors to be compared. These findings have implications for our understanding of social imitation, and they provide methods for advancing understanding of other aspects of early social cognitive development. Copyright © 2017 Elsevier B.V. All rights reserved.

Modulating mimicry: Exploring the roles of inhibitory control and social understanding in 5-year-olds' behavioral mimicry.

Science.gov (United States)

van Schaik, Johanna E; Hunnius, Sabine

2018-01-01

During adult interactions, behavioral mimicry, the implicit copying of an interaction partner's postures and mannerisms, communicates liking and affiliation. While this social behavior likely develops during early childhood, it is unclear which factors contribute to its emergence. Here, the roles of inhibitory control and social understanding on 5-year-olds' behavioral mimicry were investigated. Following a social manipulation in which one experimenter shared a sticker with the child and the other experimenter kept two stickers for herself, children watched a video in which these experimenters each told a story. During this story session, children in the experimental group (n = 28) observed the experimenters perform face and hand rubbing behaviors whereas the control group (n = 23) did not see these behaviors. Children's inhibitory control was assessed using the day-night task and their social understanding was measured through a parental questionnaire. Surprisingly, group-level analyses revealed that the experimental group performed the behaviors significantly less than the control group (i.e. a negative mimicry effect) for both the sticker-sharer and sticker-keeper. Yet, the hypothesized effects of inhibitory control and social understanding were found. Inhibitory control predicted children's selective mimicry of the sticker-keeper versus sticker-sharer and children's overall mimicry was correlated with social understanding. These results provide the first indications to suggest that factors of social and cognitive development dynamically influence the emergence and specificity of behavioral mimicry during early childhood.

Education: A Complex and Empowering Social Work Intervention at the End of Life

Science.gov (United States)

Cagle, John G.; Kovacs, Pamela J.

2009-01-01

Education is a frequently used social work intervention. Yet it seems to be an underappreciated and a deceptively complex intervention that social workers may not be adequately prepared to use. Reliable, accessible information is essential as it helps prevent unnecessary crises, facilitates coping, and promotes self-determination. This article…

Learning To Live with Complexity.

Science.gov (United States)

Dosa, Marta

Neither the design of information systems and networks nor the delivery of library services can claim true user centricity without an understanding of the multifaceted psychological environment of users and potential users. The complexity of the political process, social problems, challenges to scientific inquiry, entrepreneurship, and…

The Crucible simulation: Behavioral simulation improves clinical leadership skills and understanding of complex health policy change.

Science.gov (United States)

Cohen, Daniel; Vlaev, Ivo; McMahon, Laurie; Harvey, Sarah; Mitchell, Andy; Borovoi, Leah; Darzi, Ara

2017-05-11

The Health and Social Care Act 2012 represents the most complex National Health Service reforms in history. High-quality clinical leadership is important for successful implementation of health service reform. However, little is known about the effectiveness of current leadership training. This study describes the use of a behavioral simulation to improve the knowledge and leadership of a cohort of medical doctors expected to take leadership roles in the National Health Service. A day-long behavioral simulation (The Crucible) was developed and run based on a fictitious but realistic health economy. Participants completed pre- and postsimulation questionnaires generating qualitative and quantitative data. Leadership skills, knowledge, and behavior change processes described by the "theory of planned behavior" were self-assessed pre- and postsimulation. Sixty-nine medical doctors attended. Participants deemed the simulation immersive and relevant. Significant improvements were shown in perceived knowledge, capability, attitudes, subjective norms, intentions, and leadership competency following the program. Nearly one third of participants reported that they had implemented knowledge and skills from the simulation into practice within 4 weeks. This study systematically demonstrates the effectiveness of behavioral simulation for clinical management training and understanding of health policy reform. Potential future uses and strategies for analysis are discussed. High-quality care requires understanding of health systems and strong leadership. Policymakers should consider the use of behavioral simulation to improve understanding of health service reform and development of leadership skills in clinicians, who readily adopt skills from simulation into everyday practice.

Philosophy of complex systems

CERN Document Server

2011-01-01

The domain of nonlinear dynamical systems and its mathematical underpinnings has been developing exponentially for a century, the last 35 years seeing an outpouring of new ideas and applications and a concomitant confluence with ideas of complex systems and their applications from irreversible thermodynamics. A few examples are in meteorology, ecological dynamics, and social and economic dynamics. These new ideas have profound implications for our understanding and practice in domains involving complexity, predictability and determinism, equilibrium, control, planning, individuality, responsibility and so on. Our intention is to draw together in this volume, we believe for the first time, a comprehensive picture of the manifold philosophically interesting impacts of recent developments in understanding nonlinear systems and the unique aspects of their complexity. The book will focus specifically on the philosophical concepts, principles, judgments and problems distinctly raised by work in the domain of comple...

What Social Workers Should Know About Ethics: Understanding and Resolving Ethical Dilemmas

Directory of Open Access Journals (Sweden)

Elaine P. Congress

2000-05-01

Full Text Available Recognizing ethical issues and dilemmas that arise in professional practice is crucial for social work practitioners, educators, and students. After a discussion about the limited, although growing, literature on social work ethics, the ten main tenets form the most current NASW Code of Ethics are presented. These topics include limits to confidentiality, confidentiality and technology, confidentiality in family and group work, managed care, cultural competence, dual relationships, sexual relationships, impairment and incompetence of colleagues, application to administrators and relevance to social work educators. In addition to understanding the Code of Ethics, social workers can use the ETHIC model of decision making for resolving ethical dilemmas. This easy to use five step process includes examining personal, agency, client, and professional values, thinking about ethical standards and relevant laws, hypothesizing about consequences, identifying the most vulnerable, and consulting with supervisors and colleagues. A case example involving confidentiality, HIV/AIDS and family therapy demonstrates how social workers can use the ETHIC model.

Bringing content understanding into usability testing in complex application domains—a case study in eHealth

DEFF Research Database (Denmark)

Andersen, Simon Bruntse; Rasmussen, Claire Kirchert; Frøkjær, Erik

2017-01-01

A usability evaluation technique, Cooperative Usability Testing with Questions of Understanding (CUT with QU) intended to illuminate users’ ability to understand the content information of an application is proposed. In complex application domains as for instance the eHealth domain, this issue...... the participation of four physiotherapists and four clients in a period of 3.5 months, it was demonstrated how CUT with QU can complement conventional usability testing and provide insight into users’ challenges with understanding of a new complex eHealth application. More experiments in other complex application...... domains involving different kinds of users and evaluators are needed before we can tell whether CUT with QU is an effective usability testing technique of wider applicability. Performing CUT with QU is very demanding by drawing heavily on the evaluators’ ability to respond effectively to openings...

Using social science to understand and improve wildland fire organizations: an annotated reading list

Science.gov (United States)

Gregory Larson; Vita Wright; Cade Spaulding; Kelly Rossetto; Georgi Rausch; Andrea Richards; Stephanie Durnford

2007-01-01

The wildland fire community has spent the past decade trying to understand and account for the role of human factors in wildland fire organizations. Social research that is relevant to managing fire organizations can be found in disciplines such as social psychology, management, and communication. However, such research has been published primarily for scientific and...

The social competence of Latino kindergartners and growth in mathematical understanding.

Science.gov (United States)

Galindo, Claudia; Fuller, Bruce

2010-05-01

We know that social competence contributes to young children's adaptation to, and cognitive learning within, classroom settings. Yet initial evidence is mixed on the social competencies that Latino children bring to kindergarten and the extent to which these skills advance cognitive growth. Building from ecocultural and developmental-risk theory, this paper shows children's social competence to be adaptive to the normative expectations and cognitive requirements of culturally bounded settings in both the home and classroom. Latino socialization in the home may yield social competencies that teachers value rather than reflect "risk factors" that constrain children's school readiness. We draw on the Early Childhood Longitudinal Study, kindergarten cohort (N = 19,590) to detail 5 social competencies at entry to school--self-control, interpersonal skills, approaches to learning, internalizing and externalizing problem behaviors--and to examine variability among Latino subgroups. We then test the extent to which baseline variation in social competence accounts for children's cognitive growth during the kindergarten year. We find that Latino children from poor, but not middle-class, families display weaker social competencies vis-à-vis White children (all relationships p cognitive growth, which is shaped most strongly by positive approaches to learning. The disparities in competencies observed for Latino children from poor families, relative to White children, are significant yet much smaller than gaps in baseline levels of mathematical understanding. We discuss how the consonance or mismatch between competencies acquired at home and those valued by teachers must consider cultural differences, social-class position, and variation among diverse Latino subgroups. 2010 APA, all rights reserved

Understanding the physiology of complex congenital heart disease using cardiac magnetic resonance imaging

International Nuclear Information System (INIS)

Kappanayil, Mahesh; Kannan, Rajesh; Kumar, Raman Krishna

2011-01-01

Complex congenital heart diseases are often associated with complex alterations in hemodynamics. Understanding these key hemodynamic changes is critical to making management decisions including surgery and postoperative management. Existing tools for imaging and hemodynamic assessment like echocardiography, computed tomography and cardiac catheterization have inherent limitations. Cardiac magnetic resonance imaging (MRI) is emerging as a powerful bouquet of tools that allow not only excellent imaging, but also a unique insight into hemodynamics. This article introduces the reader to cardiac MRI and its utility through the clinical example of a child with a complex congenital cyanotic heart disease

Complex networks principles, methods and applications

CERN Document Server

Latora, Vito; Russo, Giovanni

2017-01-01

Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among the others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, ...

Fundamental structures of dynamic social networks

DEFF Research Database (Denmark)

Sekara, Vedran; Stopczynski, Arkadiusz; Jørgensen, Sune Lehmann

2016-01-01

Social systems are in a constant state of flux, with dynamics spanning from minute-by-minute changes to patterns present on the timescale of years. Accurate models of social dynamics are important for understanding the spreading of influence or diseases, formation of friendships...... and their interactions in the network of real-world person-to-person proximity measured via Bluetooth, as well as their telecommunication networks, online social media contacts, geolocation, and demographic data. These high-resolution data allow us to observe social groups directly, rendering community detection......, and the productivity of teams. Although there has been much progress on understanding complex networks over the past decade, little is known about the regularities governing the microdynamics of social networks. Here, we explore the dynamic social network of a densely-connected population of ∼1,000 individuals...

A social network approach to understanding science communication among fire professionals

Science.gov (United States)

Vita Wright

2012-01-01

Studies of science communication and use in the fire management community suggest manager's access research via informal information networks and that these networks vary by both agency and position. We used a phone survey followed by traditional statistical analyses to understand the informal social networks of fire professionals in two western regions of the...

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Managing Complexity

Energy Technology Data Exchange (ETDEWEB)

Chassin, David P.; Posse, Christian; Malard, Joel M.

2004-08-01

Physical analogs have shown considerable promise for understanding the behavior of complex adaptive systems, including macroeconomics, biological systems, social networks, and electric power markets. Many of today’s most challenging technical and policy questions can be reduced to a distributed economic control problem. Indeed, economically-based control of large-scale systems is founded on the conjecture that the price-based regulation (e.g., auctions, markets) results in an optimal allocation of resources and emergent optimal system control. This paper explores the state of the art in the use physical analogs for understanding the behavior of some econophysical systems and to deriving stable and robust control strategies for them. In particular we review and discussion applications of some analytic methods based on the thermodynamic metaphor according to which the interplay between system entropy and conservation laws gives rise to intuitive and governing global properties of complex systems that cannot be otherwise understood.

New frontiers in the study of social phenomena cognition, complexity, adaptation

CERN Document Server

2016-01-01

This book studies social phenomena in a new way, by making judicious use of computer technology. The book addresses the entire spectrum of classic studies in social science, from experiments to the computational models, with a multidisciplinary approach. The book is suitable for those who want to get a picture of what it means to do social research today, and also to get an indication of the major open issues. The book is connected to a database of code for simulations, experimental data and allows to activate a subscription to a teaching tool using NetLogo, a programming language widely used in the social studies. The authors are researchers with first-hand experience research projects, both basic and applied. The work will be useful for those who want to understand more of the social, economic and political phenomena via computer applications.

Tacit coordination in social dilemmas: the importance of having a common understanding.

Science.gov (United States)

van Dijk, Eric; de Kwaadsteniet, Erik W; De Cremer, David

2009-03-01

Previous research has indicated that in social dilemmas, people tacitly coordinate their decisions by using the equal division rule. In 3 experimental studies, the authors investigated the extent to which a common understanding about task and behavioral requirements is essential for the tacit coordination process. The results show that people are less likely to coordinate on the equal division rule when collective feedback on past performance (Study 1), the distribution of information within the group (Study 2), or expected behavioral variance (Study 3) suggests that a common understanding in the group is lacking. Moreover, the results indicate that under these conditions, rather than adhering to the equal division rule, people base their decisions on their own social value orientations. The findings support the view that if situations provide insufficient cues for tacit coordination, people are more likely to decide on the basis of their personal characteristics.

Understanding Mobile Social Media Usage

DEFF Research Database (Denmark)

Gan, Chunmei; Tan, Chee-Wee

2017-01-01

Despite the increasing popularity and growing trend of mobile social media in China, factors affecting users’ continued usage behavior remains unclear and deserves further scholarly attention. Synthesizing theories of expectation confirmation as well as uses and gratification, we advance a uses...... and gratification expectancy model that depicts how confirmation, perceived usability and gratification affect users’ continuance intention towards mobile social media. Empirical findings from an online survey of 247 respondents reveal that continuance intention is determined by a range of gratifications, including...... information sharing, media appeal and perceived enjoyment. In addition, confirmation of expectations and perceptions of usefulness gleaned through prior usage of mobile social media have significant effects on gratifications of information sharing, perceived enjoyment, social interaction, passing time...

Application of simplified Complexity Theory concepts for healthcare social systems to explain the implementation of evidence into practice.

Science.gov (United States)

Chandler, Jacqueline; Rycroft-Malone, Jo; Hawkes, Claire; Noyes, Jane

2016-02-01

To examine the application of core concepts from Complexity Theory to explain the findings from a process evaluation undertaken in a trial evaluating implementation strategies for recommendations about reducing surgical fasting times. The proliferation of evidence-based guidance requires a greater focus on its implementation. Theory is required to explain the complex processes across the multiple healthcare organizational levels. This social healthcare context involves the interaction between professionals, patients and the organizational systems in care delivery. Complexity Theory may provide an explanatory framework to explain the complexities inherent in implementation in social healthcare contexts. A secondary thematic analysis of qualitative process evaluation data informed by Complexity Theory. Seminal texts applying Complexity Theory to the social context were annotated, key concepts extracted and core Complexity Theory concepts identified. These core concepts were applied as a theoretical lens to provide an explanation of themes from a process evaluation of a trial evaluating the implementation of strategies to reduce surgical fasting times. Sampled substantive texts provided a representative spread of theoretical development and application of Complexity Theory from late 1990's-2013 in social science, healthcare, management and philosophy. Five Complexity Theory core concepts extracted were 'self-organization', 'interaction', 'emergence', 'system history' and 'temporality'. Application of these concepts suggests routine surgical fasting practice is habituated in the social healthcare system and therefore it cannot easily be reversed. A reduction to fasting times requires an incentivised new approach to emerge in the surgical system's priority of completing the operating list. The application of Complexity Theory provides a useful explanation for resistance to change fasting practice. Its utility in implementation research warrants further attention and

Understanding Social Contagion in Adoption Processes Using Dynamic Social Networks.

Directory of Open Access Journals (Sweden)

Mauricio Herrera

Full Text Available There are many studies in the marketing and diffusion literature of the conditions in which social contagion affects adoption processes. Yet most of these studies assume that social interactions do not change over time, even though actors in social networks exhibit different likelihoods of being influenced across the diffusion period. Rooted in physics and epidemiology theories, this study proposes a Susceptible Infectious Susceptible (SIS model to assess the role of social contagion in adoption processes, which takes changes in social dynamics over time into account. To study the adoption over a span of ten years, the authors used detailed data sets from a community of consumers and determined the importance of social contagion, as well as how the interplay of social and non-social influences from outside the community drives adoption processes. Although social contagion matters for diffusion, it is less relevant in shaping adoption when the study also includes social dynamics among members of the community. This finding is relevant for managers and entrepreneurs who trust in word-of-mouth marketing campaigns whose effect may be overestimated if marketers fail to acknowledge variations in social interactions.

Understanding Social Contagion in Adoption Processes Using Dynamic Social Networks.

Science.gov (United States)

Herrera, Mauricio; Armelini, Guillermo; Salvaj, Erica

2015-01-01

There are many studies in the marketing and diffusion literature of the conditions in which social contagion affects adoption processes. Yet most of these studies assume that social interactions do not change over time, even though actors in social networks exhibit different likelihoods of being influenced across the diffusion period. Rooted in physics and epidemiology theories, this study proposes a Susceptible Infectious Susceptible (SIS) model to assess the role of social contagion in adoption processes, which takes changes in social dynamics over time into account. To study the adoption over a span of ten years, the authors used detailed data sets from a community of consumers and determined the importance of social contagion, as well as how the interplay of social and non-social influences from outside the community drives adoption processes. Although social contagion matters for diffusion, it is less relevant in shaping adoption when the study also includes social dynamics among members of the community. This finding is relevant for managers and entrepreneurs who trust in word-of-mouth marketing campaigns whose effect may be overestimated if marketers fail to acknowledge variations in social interactions.

Understanding Social Contagion in Adoption Processes Using Dynamic Social Networks

Science.gov (United States)

2015-01-01

There are many studies in the marketing and diffusion literature of the conditions in which social contagion affects adoption processes. Yet most of these studies assume that social interactions do not change over time, even though actors in social networks exhibit different likelihoods of being influenced across the diffusion period. Rooted in physics and epidemiology theories, this study proposes a Susceptible Infectious Susceptible (SIS) model to assess the role of social contagion in adoption processes, which takes changes in social dynamics over time into account. To study the adoption over a span of ten years, the authors used detailed data sets from a community of consumers and determined the importance of social contagion, as well as how the interplay of social and non-social influences from outside the community drives adoption processes. Although social contagion matters for diffusion, it is less relevant in shaping adoption when the study also includes social dynamics among members of the community. This finding is relevant for managers and entrepreneurs who trust in word-of-mouth marketing campaigns whose effect may be overestimated if marketers fail to acknowledge variations in social interactions. PMID:26505473

A complex social-ecological disaster: Environmentally induced forced migration.

Science.gov (United States)

Rechkemmer, Andreas; O'Connor, Ashley; Rai, Abha; Decker Sparks, Jessica L; Mudliar, Pranietha; Shultz, James M

2016-01-01

In the 21 st century, global issues are increasingly characterized by inter-connectedness and complexity. Global environmental change, and climate change in particular, has become a powerful driver and catalyst of forced migration and internal displacement of people. Environmental migrants may far outnumber any other group of displaced people and refugees in the years to come. Deeper scientific integration, especially across the social sciences, is a prerequisite to tackle this issue.

How social cognition can inform social decision making

Science.gov (United States)

Lee, Victoria K.; Harris, Lasana T.

2013-01-01

Social decision-making is often complex, requiring the decision-maker to make inferences of others' mental states in addition to engaging traditional decision-making processes like valuation and reward processing. A growing body of research in neuroeconomics has examined decision-making involving social and non-social stimuli to explore activity in brain regions such as the striatum and prefrontal cortex, largely ignoring the power of the social context. Perhaps more complex processes may influence decision-making in social vs. non-social contexts. Years of social psychology and social neuroscience research have documented a multitude of processes (e.g., mental state inferences, impression formation, spontaneous trait inferences) that occur upon viewing another person. These processes rely on a network of brain regions including medial prefrontal cortex (MPFC), superior temporal sulcus (STS), temporal parietal junction, and precuneus among others. Undoubtedly, these social cognition processes affect social decision-making since mental state inferences occur spontaneously and automatically. Few studies have looked at how these social inference processes affect decision-making in a social context despite the capability of these inferences to serve as predictions that can guide future decision-making. Here we review and integrate the person perception and decision-making literatures to understand how social cognition can inform the study of social decision-making in a way that is consistent with both literatures. We identify gaps in both literatures—while behavioral economics largely ignores social processes that spontaneously occur upon viewing another person, social psychology has largely failed to talk about the implications of social cognition processes in an economic decision-making context—and examine the benefits of integrating social psychological theory with behavioral economic theory. PMID:24399928

How social cognition can inform social decision making.

Science.gov (United States)

Lee, Victoria K; Harris, Lasana T

2013-12-25

Social decision-making is often complex, requiring the decision-maker to make inferences of others' mental states in addition to engaging traditional decision-making processes like valuation and reward processing. A growing body of research in neuroeconomics has examined decision-making involving social and non-social stimuli to explore activity in brain regions such as the striatum and prefrontal cortex, largely ignoring the power of the social context. Perhaps more complex processes may influence decision-making in social vs. non-social contexts. Years of social psychology and social neuroscience research have documented a multitude of processes (e.g., mental state inferences, impression formation, spontaneous trait inferences) that occur upon viewing another person. These processes rely on a network of brain regions including medial prefrontal cortex (MPFC), superior temporal sulcus (STS), temporal parietal junction, and precuneus among others. Undoubtedly, these social cognition processes affect social decision-making since mental state inferences occur spontaneously and automatically. Few studies have looked at how these social inference processes affect decision-making in a social context despite the capability of these inferences to serve as predictions that can guide future decision-making. Here we review and integrate the person perception and decision-making literatures to understand how social cognition can inform the study of social decision-making in a way that is consistent with both literatures. We identify gaps in both literatures-while behavioral economics largely ignores social processes that spontaneously occur upon viewing another person, social psychology has largely failed to talk about the implications of social cognition processes in an economic decision-making context-and examine the benefits of integrating social psychological theory with behavioral economic theory.

Using chemistry and microfluidics to understand the spatial dynamics of complex biological networks.

Science.gov (United States)

Kastrup, Christian J; Runyon, Matthew K; Lucchetta, Elena M; Price, Jessica M; Ismagilov, Rustem F

2008-04-01

Understanding the spatial dynamics of biochemical networks is both fundamentally important for understanding life at the systems level and also has practical implications for medicine, engineering, biology, and chemistry. Studies at the level of individual reactions provide essential information about the function, interactions, and localization of individual molecular species and reactions in a network. However, analyzing the spatial dynamics of complex biochemical networks at this level is difficult. Biochemical networks are nonequilibrium systems containing dozens to hundreds of reactions with nonlinear and time-dependent interactions, and these interactions are influenced by diffusion, flow, and the relative values of state-dependent kinetic parameters. To achieve an overall understanding of the spatial dynamics of a network and the global mechanisms that drive its function, networks must be analyzed as a whole, where all of the components and influential parameters of a network are simultaneously considered. Here, we describe chemical concepts and microfluidic tools developed for network-level investigations of the spatial dynamics of these networks. Modular approaches can be used to simplify these networks by separating them into modules, and simple experimental or computational models can be created by replacing each module with a single reaction. Microfluidics can be used to implement these models as well as to analyze and perturb the complex network itself with spatial control on the micrometer scale. We also describe the application of these network-level approaches to elucidate the mechanisms governing the spatial dynamics of two networkshemostasis (blood clotting) and early patterning of the Drosophila embryo. To investigate the dynamics of the complex network of hemostasis, we simplified the network by using a modular mechanism and created a chemical model based on this mechanism by using microfluidics. Then, we used the mechanism and the model to

Understanding valve program complexity in a refurbishment environment - learning from the past

International Nuclear Information System (INIS)

Roth, H.E.

2012-01-01

The complexity of Valve Program development, planning, execution and management in a refurbishment environment is an enormous undertaking requiring the proper coordination and integration of many moving parts. As such, lack of attention and understanding of this complexity has led to significant cost and schedule overruns in past refurbishment projects in the province. OPEX indicates the challenges in completing valve scope during refurbishments are related but not limited to; lack of detailed condition assessments, improper scope development, insignificant strategic approach to work task planning, scheduling and procurement, absence of contingency planning for common ‘as found’ conditions during execution, lack of proper training requirements, etc. In addition, past contracting strategies to employ numerous companies in collaboration to complete such a complex and specialized program, has resulted in further complications surrounding the management and integration of multiple quality programs and internal company processes. Finally, the aftermath of such fragmented projects results in an absolute closeout nightmare, often times taking years to locate, sift through and re-integrate pertinent information back into customer systems. Valve Program complexity cannot be understood by just anyone, only those that have lived through a refurbishment project and experienced the challenges mentioned above have the knowledge, skill, and ability to appreciate how to tactically apply past learning to realize future improvements. Furthermore, effective contractor-customer collaboration is crucial; true and in-depth knowledge and understanding of the customer quality programs, engineering and work management processes, configuration management requirements, and most importantly the imperative significance of nuclear safety, are all essential components to ensure overall alignment and program success. (author)

Understanding valve program complexity in a refurbishment environment - learning from the past

Energy Technology Data Exchange (ETDEWEB)

Roth, H.E. [Babcock & Wilcox Canada Ltd., Cambridge, Ontario (Canada)

2012-07-01

The complexity of Valve Program development, planning, execution and management in a refurbishment environment is an enormous undertaking requiring the proper coordination and integration of many moving parts. As such, lack of attention and understanding of this complexity has led to significant cost and schedule overruns in past refurbishment projects in the province. OPEX indicates the challenges in completing valve scope during refurbishments are related but not limited to; lack of detailed condition assessments, improper scope development, insignificant strategic approach to work task planning, scheduling and procurement, absence of contingency planning for common ‘as found’ conditions during execution, lack of proper training requirements, etc. In addition, past contracting strategies to employ numerous companies in collaboration to complete such a complex and specialized program, has resulted in further complications surrounding the management and integration of multiple quality programs and internal company processes. Finally, the aftermath of such fragmented projects results in an absolute closeout nightmare, often times taking years to locate, sift through and re-integrate pertinent information back into customer systems. Valve Program complexity cannot be understood by just anyone, only those that have lived through a refurbishment project and experienced the challenges mentioned above have the knowledge, skill, and ability to appreciate how to tactically apply past learning to realize future improvements. Furthermore, effective contractor-customer collaboration is crucial; true and in-depth knowledge and understanding of the customer quality programs, engineering and work management processes, configuration management requirements, and most importantly the imperative significance of nuclear safety, are all essential components to ensure overall alignment and program success. (author)

Toward understanding the thermodynamics of TALSPEAK process. Medium effects on actinide complexation

International Nuclear Information System (INIS)

Zalupski, Peter R.; Martin, Leigh R.; Nash, Ken; Nakamura, Yoshinobu; Yamamoto, Masahiko

2009-01-01

The ingenious combination of lactate and diethylenetriamine-N,N,N',N(double p rime),N(double p rime)-pentaacetic acid (DTPA) as an aqueous actinide-complexing medium forms the basis of the successful separation of americium and curium from lanthanides known as the TALSPEAK process. While numerous reports in the prior literature have focused on the optimization of this solvent extraction system, considerably less attention has been devoted to the understanding of the basic thermodynamic features of the complex fluids responsible for the separation. The available thermochemical information of both lactate and DTPA protonation and metal complexation reactions are representative of the behavior of these ions under idealized conditions. Our previous studies of medium effects on lactate protonation suggest that significant departures from the speciation predicted based on reported thermodynamic values should be expected in the TALSPEAK aqueous environment. Thermodynamic parameters describing the separation chemistry of this process thus require further examination at conditions significantly removed from conventional ideal systems commonly employed in fundamental solution chemistry. Such thermodynamic characterization is the key to predictive modelling of TALSPEAK. Improved understanding will, in principle, allow process technologists to more efficiently respond to off-normal conditions during large scale process operation. In this report, the results of calorimetric and potentiometric investigations of the effects of aqueous electrolytes on the thermodynamic parameters for lactate protonation and lactate complexation of americium and neodymium will be presented. Studies on the lactate protonation equilibrium will clearly illustrate distinct thermodynamic variations between strong electrolyte aqueous systems and buffered lactate environment.

How Social Cognition Can Inform Social Decision Making

Directory of Open Access Journals (Sweden)

Victoria eLee

2013-12-01

Full Text Available Social decision-making is often complex, requiring the decision-maker to make inferences of others’ mental states in addition to engaging traditional decision-making processes like valuation and reward processing. A growing body of research in neuroeconomics has examined decision- making involving social and nonsocial stimuli to explore activity in brain regions such as the striatum and prefrontal cortex, largely ignoring the power of the social context. Perhaps more complex processes may influence decision-making in social versus nonsocial contexts. Years of social psychology and social neuroscience research have documented a multitude of processes (e.g. mental state inferences, impression formation, spontaneous trait inferences that occur upon viewing another person. These processes rely on a network of brain regions including medial prefrontal cortex, superior temporal sulcus, temporal parietal junction, and precuneus among others. Undoubtedly, these social cognition processes affect social decision-making since mental state inferences occur spontaneously and automatically. Few studies have looked at how these social inference processes affect decision-making in a social context despite the capability of these inferences to serve as predictions that can guide future decision-making. Here we review and integrate the person perception and decision-making literatures to understand how social cognition can inform the study of social decision-making in a way that is consistent with both literatures. We identify gaps in both literatures—while behavioral economics largely ignores social processes that spontaneously occur upon viewing another person, social psychology has largely failed to talk about the implications of social cognition processes in an economic decision-making context—and examine the benefits of integrating social psychological theory with behavioral economic theory.

Understanding large multiprotein complexes: applying a multiple allosteric networks model to explain the function of the Mediator transcription complex.

Science.gov (United States)

Lewis, Brian A

2010-01-15

The regulation of transcription and of many other cellular processes involves large multi-subunit protein complexes. In the context of transcription, it is known that these complexes serve as regulatory platforms that connect activator DNA-binding proteins to a target promoter. However, there is still a lack of understanding regarding the function of these complexes. Why do multi-subunit complexes exist? What is the molecular basis of the function of their constituent subunits, and how are these subunits organized within a complex? What is the reason for physical connections between certain subunits and not others? In this article, I address these issues through a model of network allostery and its application to the eukaryotic RNA polymerase II Mediator transcription complex. The multiple allosteric networks model (MANM) suggests that protein complexes such as Mediator exist not only as physical but also as functional networks of interconnected proteins through which information is transferred from subunit to subunit by the propagation of an allosteric state known as conformational spread. Additionally, there are multiple distinct sub-networks within the Mediator complex that can be defined by their connections to different subunits; these sub-networks have discrete functions that are activated when specific subunits interact with other activator proteins.

[The economic-industrial health care complex and the social and economic dimension of development].

Science.gov (United States)

Gadelha, Carlos Augusto Grabois; Costa, Laís Silveira; Maldonado, José

2012-12-01

The strategic role of health care in the national development agenda has been increasingly recognized and institutionalized. In addition to its importance as a structuring element of the Social Welfare State, health care plays a leading role in the generation of innovation - an essential element for competitiveness in knowledge society. However, health care's productive basis is still fragile, and this negatively affects both the universal provision of health care services and Brazil's competitive inclusion in the globalized environment. This situation suggests the need of a more systematic analysis of the complex relationships among productive, technological and social interests in the scope of health care. Consequently, it is necessary to produce further knowledge about the Economic-Industrial Health Care Complex due to its potential for contributing to a socially inclusive development model. This means reversing the hierarchy between economic and social interests in the sanitary field, thus minimizing the vulnerability of the Brazilian health care policy.

Why Social Relationships Are Important for Physical Health: A Systems Approach to Understanding and Modifying Risk and Protection.

Science.gov (United States)

Holt-Lunstad, Julianne

2018-01-04

Social relationships are adaptive and crucial for survival. This review presents existing evidence indicating that our social connections to others have powerful influences on health and longevity and that lacking social connection qualifies as a risk factor for premature mortality. A systems perspective is presented as a framework by which to move social connection into the realm of public health. Individuals, and health-relevant biological processes, exist within larger social contexts including the family, neighborhood and community, and society and culture. Applying the social ecological model, this review highlights the interrelationships of individuals within groups in terms of understanding both the causal mechanisms by which social connection influences physical health and the ways in which this influence can inform potential intervention strategies. A systems approach also helps identify gaps in our current understanding that may guide future research.

Microfoundations of Social Theory

DEFF Research Database (Denmark)

Felin, Teppo; Foss, Nicolai Juul; Abell, Peter Malcolm

principle ignores-and is somehow invalidated by-the complex, “emergent” and multi-level nature of social phenomena. We focus on the need to specify and understand 1) component actors and social complexity, 2) theory of action, aggregation, and emergence, 3) process and the context of action. We concurrently......In this short essay we respond to Jepperson and Meyer’s (2011) critique of “action theories” and methodological individualism in sociology. We highlight fundamental problems with their argument, notably their misunderstanding of methodological individualism(s) and the belief that this explanatory...... critique Jepperson and Meyer’s own (implicit but highly problematic and under-specified) theory of action....

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#consumingitall: Understanding The Complex Relationship Between Media Consumption And Eating Behaviors

OpenAIRE

Albert, Stephanie L.

2017-01-01

Adolescents spend almost nine hours a day engaging with media. As a result, they are confronted with large amounts of obesogenic content that shapes their understanding of what are normal and acceptable eating behaviors. Utilizing primary data collected from a sample of 4,838 low-income, racially and ethnically diverse middle school students in Los Angeles County, I studied the effects of different types of media use (i.e., social media, TV/movies/videos, gaming, music, Internet) on dietary p...

Social relationships and health: the relative roles of family functioning and social support.

Science.gov (United States)

Franks, P; Campbell, T L; Shields, C G

1992-04-01

The associations between social relationships and health have been examined using two major research traditions. Using a social epidemiological approach, much research has shown the beneficial effect of social supports on health and health behaviors. Family interaction research, which has grown out of a more clinical tradition, has shown the complex effects of family functioning on health, particularly mental health. No studies have examined the relative power of these two approaches in explicating the connections between social relationships and health. We hypothesized that social relationships (social support and family functioning) would exert direct and indirect (through depressive symptoms) effects on health behaviors. We also hypothesized that the effects of social relationships on health would be more powerfully explicated by family functioning than by social support. We mailed a pilot survey to a random sample of patients attending a family practice center, including questions on depressive symptoms, cardiovascular health behaviors, demographics, social support using the ISEL scale, and family functioning using the FEICS scale. FEICS is a self-report questionnaire designed to assess family emotional involvement and criticism, the media elements of family expressed emotion. Eighty-three useable responses were obtained. Regression analyses and structural modelling showed both direct and indirect statistically significant paths from social relationships to health behaviors. Family criticism was directly associated (standardized coefficient = 0.29) with depressive symptoms, and family emotional involvement was directly associated with both depressive symptoms (coefficient = 0.35) and healthy cardiovascular behaviors (coefficient = 0.32). The results support the primacy of family functioning factors in understanding the associations among social relationships, mental health, and health behaviors. The contrasting relationships between emotional involvement and

Social ecosystem health: confronting the complexity and emergence of infectious diseases

Directory of Open Access Journals (Sweden)

Cristina de Albuquerque Possas

2001-02-01

Full Text Available The emergence and re-emergence of infectious diseases and their rapid dissemination worldwide are challenging national health systems, particularly in developing countries affected by extreme poverty and environmental degradation. The expectations that new vaccines and drugs and global surveillance would help reverse these trends have been frustrated thus far by the complexity of the epidemiological transition, despite promising prospects for the near future in biomolecular research and genetic engineering. This impasse raises crucial issues concerning conceptual frameworks supporting priority-setting, risk anticipation, and the transfer of science and technology's results to society. This article discusses these issues and the limitations of social and economic sciences on the one hand and ecology on the other as the main theoretical references of the health sciences in confronting the complexity of these issues on their own. The tension between these historically dissociated paradigms is discussed and a transdisciplinary approach is proposed, that of social ecosystem health, incorporating these distinct perspectives into a comprehensive framework.

Identifying Complex Dynamics in Social Systems: A New Methodological Approach Applied to Study School Segregation

Science.gov (United States)

Spaiser, Viktoria; Hedström, Peter; Ranganathan, Shyam; Jansson, Kim; Nordvik, Monica K.; Sumpter, David J. T.

2018-01-01

It is widely recognized that segregation processes are often the result of complex nonlinear dynamics. Empirical analyses of complex dynamics are however rare, because there is a lack of appropriate empirical modeling techniques that are capable of capturing complex patterns and nonlinearities. At the same time, we know that many social phenomena…

Benefit Perception About the Understanding of Corporate Social Responsibility in Pprivate Sector in Turkey: Using Web Sites for Announcing of Corporate Social Responsibility Activities

OpenAIRE

Nuray YILMAZ SERT

2012-01-01

As a consept that adds value to both the society and the corporation, understanding of Corporate Social Responsibility (CSR), contributes to the development of social welfare on the one hand and also forms a basis for sustaining the existence of corporations in a society on the other hand. Consequently as distinct from philanthropy, two-sided benefits including institutional and social taken into account in Corporate Social Responsibility activities. Therefore especially in order to ensure th...

Binding Action and Emotion in Social Understanding

Science.gov (United States)

Ferri, Francesca; Ebisch, Sjoerd J. H.; Costantini, Marcello; Salone, Anatolia; Arciero, Giampiero; Mazzola, Viridiana; Ferro, Filippo Maria; Romani, Gian Luca; Gallese, Vittorio

2013-01-01

In social life actions are tightly linked with emotions. The integration of affective- and action-related information has to be considered as a fundamental component of appropriate social understanding. The present functional magnetic resonance imaging study aimed at investigating whether an emotion (Happiness, Anger or Neutral) dynamically expressed by an observed agent modulates brain activity underlying the perception of his grasping action. As control stimuli, participants observed the same agent either only expressing an emotion or only performing a grasping action. Our results showed that the observation of an action embedded in an emotional context (agent’s facial expression), compared with the observation of the same action embedded in a neutral context, elicits higher neural response at the level of motor frontal cortices, temporal and occipital cortices, bilaterally. Particularly, the dynamic facial expression of anger modulates the re-enactment of a motor representation of the observed action. This is supported by the evidence that observing actions embedded in the context of anger, but not happiness, compared with a neutral context, elicits stronger activity in the bilateral pre-central gyrus and inferior frontal gyrus, besides the pre-supplementary motor area, a region playing a central role in motor control. Angry faces not only seem to modulate the simulation of actions, but may also trigger motor reaction. These findings suggest that emotions exert a modulatory role on action observation in different cortical areas involved in action processing. PMID:23349792

Social Media in Higher Education: Understanding How Colleges and Universities Use Facebook

Science.gov (United States)

Peruta, Adam; Shields, Alison B.

2017-01-01

This study provides an understanding of the current social media landscape for higher education institutions. While it is recognized that consistency in school branding across all communications with stakeholders is important to attract and retain students, relatively little work has been done to determine specifically what type of content should…

Understanding the information and resource needs of UK health and social care placement students.

Science.gov (United States)

Callaghan, Lynne; Doherty, Alan; Lea, Susan J; Webster, Daniel

2008-12-01

Students on health and social care degree programmes spend 50% of their time on practice placements. Because of the diversity of settings and the need to evidence their work, it is vital to understand the information and resource needs of placement students. The aim of this investigation was to understand the needs of placement students in terms of accessing resources whilst they are in the field in order to inform a guide to meet these needs. Focus groups were conducted with students on midwifery, social work and post-registration health professions degree programmes on three different sites across the region. Data were analysed using Thematic Content Analysis. Three themes emerged from the data: inequality, user education needs and students' solutions and strategies. It is essential to speak to placement students in order to understand their needs in terms of accessing and using library resources. The timing and content of information skills training is key to meeting student needs while on placement.

The Effect of Montessori Method Supported by Social Skills Training Program on Turkish Kindergarten Children's Skills of Understanding Feelings and Social Problem Solving

Science.gov (United States)

Kayili, Gökhan; Ari, Ramazan

2016-01-01

The current research was conducted with the purpose of analyzing the effect of Montessori method supported by Social Skills Training Program on kindergarten children's skills of understanding feelings and social problem solving. 53 children attending Ihsan Dogramaci Applied Nursery School affiliated to Selcuk University, Faculty of Health Sciences…

Understanding “Baby Boomers” and “Millennials” motivations to interact with brands on Social Media

OpenAIRE

Oliveira, Rute Sofia Matos de

2017-01-01

The emergence and importance of social media and, in particular, social networking sites (SNS), has made it possible for an accessible integration between consumers and brands, by providing unlimited reasons for users to express, share and create content. The aim of this dissertation is to explore what motivates consumers to interact with brands on social media and to understand the relevance of those variables in explaining consumers’ loyalty toward a brand. Members of two distinct genera...

Keeping conceptual boundaries distinct between decision making and learning is necessary to understand social influence.

Science.gov (United States)

Le Mens, Gaël

2014-02-01

Bentley et al. make the deliberate choice to blur the distinction between learning and decision making. This obscures the social influence mechanisms that operate in the various empirical settings that their map aims to categorize. Useful policy prescriptions, however, require an accurate understanding of the social influence mechanisms that underlie the dynamics of popularity.

Connecting the Dots: Social Network Structure, Conflict, and Group Cognitive Complexity

Science.gov (United States)

Curseu, Petru L.; Janssen, Steffie E. A.; Raab, Jorg

2012-01-01

The current paper combines arguments from the social capital and group cognition literature to explain two different processes through which communication network structures and intra group conflict influence groups' cognitive complexity (GCC). We test in a sample of 44 groups the mediating role of intra group conflict in the relationship between…

Enacting entrepreneurship as social value creation

DEFF Research Database (Denmark)

Korsgaard, Steffen T.; Anderson, Alistair

2011-01-01

The social plays an important role in entrepreneurship, but one that is not well understood. We argue that the social conditions of entrepreneurs, as well as the social nature of opportunities, affect the entrepreneurial process. Hence it is conceptually useful to understand enterprise as socially...... of entrepreneurship. Our case study shows how social value is created in multiple forms at different centres and on different levels: from individual self-realization over community development to broad societal impact. We also find complex interrelations between the different levels and centres, thus, we argue...... that entrepreneurship is as much a social as an economic phenomenon...

Understanding infants' and children's social learning about foods: previous research and new prospects.

Science.gov (United States)

Shutts, Kristin; Kinzler, Katherine D; DeJesus, Jasmine M

2013-03-01

Developmental psychologists have devoted significant attention to investigating how children learn from others' actions, emotions, and testimony. Yet most of this research has examined children's socially guided learning about artifacts. The present article focuses on a domain that has received limited attention from those interested in the development of social cognition: food. We begin by reviewing the available literature on infants' and children's development in the food domain and identify situations in which children evidence both successes and failures in their interactions with foods. We focus specifically on the role that other people play in guiding what children eat and argue that understanding patterns of successes and failures in the food domain requires an appreciation of eating as a social phenomenon. We next propose a series of questions for future research and suggest that examining food selection as a social phenomenon can shed light on mechanisms underlying children's learning from others and provide ideas for promoting healthy social relationships and eating behaviors early in development.

Religiosity as identity: toward an understanding of religion from a social identity perspective.

Science.gov (United States)

Ysseldyk, Renate; Matheson, Kimberly; Anisman, Hymie

2010-02-01

As a social identity anchored in a system of guiding beliefs and symbols, religion ought to serve a uniquely powerful function in shaping psychological and social processes. Religious identification offers a distinctive "sacred" worldview and "eternal" group membership, unmatched by identification with other social groups. Thus, religiosity might be explained, at least partially, by the marked cognitive and emotional value that religious group membership provides. The uniqueness of a positive social group, grounded in a belief system that offers epistemological and ontological certainty, lends religious identity a twofold advantage for the promotion of well-being. However, that uniqueness may have equally negative impacts when religious identity itself is threatened through intergroup conflict. Such consequences are illustrated by an examination of identities ranging from religious fundamentalism to atheism. Consideration of religion's dual function as a social identity and a belief system may facilitate greater understanding of the variability in its importance across individuals and groups.

Postmodern imaginative constructivism for STSE understanding

Science.gov (United States)

Robertson, Christian

The influences of science and technology on society and the environment (STSE) have been an integral component of the formal educational curricula for four decades, and yet industrialized countries frequently struggle to balance the benefits of science and technology with the social justice and environmental issues inherent to contemporary society. Canadian citizens often fail to connect scientific and technological understandings with the subtle and yet ubiquitous personal, political, cultural, environmental, and social consequences that result from these understandings. This phenomenological research will explore potential discourses of control within education and society that may preclude authentic, contextual, and meaningful understandings of science and technology relative to their significant consequences, and an imaginative adaptation of Egan's Ironic Understanding and McGinn's Foreground and Background Dimensions to imaginatively express an awareness of postmodern STSE understandings. This research is designed to explore student understandings of how the diverse and complex influences of science and technology affect students through postmodern, imaginative, and constructivist photography. Participants demonstrated a limited Ironic Understanding of STSE, a critical awareness of specific modernist influences, increased personal and affective connections to science and technology, and an awareness of the duality of STSE. Participants' photographic artifacts can be utilized to inform teaching and learning strategies in order to purposefully craft curriculum and lesson plan design for personalized and engaging learning opportunities that incorporate students' awareness of STSE.

Analysis and modeling of complex data in behavioral and social sciences

CERN Document Server

Okada, Akinori; Ragozini, Giancarlo; Weihs, Claus

2014-01-01

This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address complicated data analysis problems. The papers in this volume stem from contributions initially presented at the joint international meeting JCS-CLADAG held in Anacapri (Italy) where the Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society had a stimulating scientific discussion and exchange.

Understanding the implementation of complex interventions in health care: the normalization process model

Directory of Open Access Journals (Sweden)

Rogers Anne

2007-09-01

Full Text Available Abstract Background The Normalization Process Model is a theoretical model that assists in explaining the processes by which complex interventions become routinely embedded in health care practice. It offers a framework for process evaluation and also for comparative studies of complex interventions. It focuses on the factors that promote or inhibit the routine embedding of complex interventions in health care practice. Methods A formal theory structure is used to define the model, and its internal causal relations and mechanisms. The model is broken down to show that it is consistent and adequate in generating accurate description, systematic explanation, and the production of rational knowledge claims about the workability and integration of complex interventions. Results The model explains the normalization of complex interventions by reference to four factors demonstrated to promote or inhibit the operationalization and embedding of complex interventions (interactional workability, relational integration, skill-set workability, and contextual integration. Conclusion The model is consistent and adequate. Repeated calls for theoretically sound process evaluations in randomized controlled trials of complex interventions, and policy-makers who call for a proper understanding of implementation processes, emphasize the value of conceptual tools like the Normalization Process Model.

Predicting the behavior of techno-social systems.

Science.gov (United States)

Vespignani, Alessandro

2009-07-24

We live in an increasingly interconnected world of techno-social systems, in which infrastructures composed of different technological layers are interoperating within the social component that drives their use and development. Examples are provided by the Internet, the World Wide Web, WiFi communication technologies, and transportation and mobility infrastructures. The multiscale nature and complexity of these networks are crucial features in understanding and managing the networks. The accessibility of new data and the advances in the theory and modeling of complex networks are providing an integrated framework that brings us closer to achieving true predictive power of the behavior of techno-social systems.

Understanding Online Health Groups for Depression: Social Network and Linguistic Perspectives.

Science.gov (United States)

Xu, Ronghua; Zhang, Qingpeng

2016-03-10

Mental health problems have become increasingly prevalent in the past decade. With the advance of Web 2.0 technologies, social media present a novel platform for Web users to form online health groups. Members of online health groups discuss health-related issues and mutually help one another by anonymously revealing their mental conditions, sharing personal experiences, exchanging health information, and providing suggestions and support. The conversations in online health groups contain valuable information to facilitate the understanding of their mutual help behaviors and their mental health problems. We aimed to characterize the conversations in a major online health group for major depressive disorder (MDD) patients in a popular Chinese social media platform. In particular, we intended to explain how Web users discuss depression-related issues from the perspective of the social networks and linguistic patterns revealed by the members' conversations. Social network analysis and linguistic analysis were employed to characterize the social structure and linguistic patterns, respectively. Furthermore, we integrated both perspectives to exploit the hidden relations between them. We found an intensive use of self-focus words and negative affect words. In general, group members used a higher proportion of negative affect words than positive affect words. The social network of the MDD group for depression possessed small-world and scale-free properties, with a much higher reciprocity ratio and clustering coefficient value as compared to the networks of other social media platforms and classic network models. We observed a number of interesting relationships, either strong correlations or convergent trends, between the topological properties and linguistic properties of the MDD group members. (1) The MDD group members have the characteristics of self-preoccupation and negative thought content, according to Beck's cognitive theory of depression; (2) the social structure

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Understanding and quantifying cognitive complexity level in mathematical problem solving items

Directory of Open Access Journals (Sweden)

SUSAN E. EMBRETSON

2008-09-01

Full Text Available The linear logistic test model (LLTM; Fischer, 1973 has been applied to a wide variety of new tests. When the LLTM application involves item complexity variables that are both theoretically interesting and empirically supported, several advantages can result. These advantages include elaborating construct validity at the item level, defining variables for test design, predicting parameters of new items, item banking by sources of complexity and providing a basis for item design and item generation. However, despite the many advantages of applying LLTM to test items, it has been applied less often to understand the sources of complexity for large-scale operational test items. Instead, previously calibrated item parameters are modeled using regression techniques because raw item response data often cannot be made available. In the current study, both LLTM and regression modeling are applied to mathematical problem solving items from a widely used test. The findings from the two methods are compared and contrasted for their implications for continued development of ability and achievement tests based on mathematical problem solving items.

A social network approach to understanding science communication among fire professionals (Abstract)

Science.gov (United States)

Vita Wright; Andrea Thode; Anne Mottek-Lucas; Jacklynn Fallon; Megan Matonis

2012-01-01

Studies of science communication and use in the fire management community suggest manager's access research via informal information networks and that these networks vary by both agency and position. We used a phone survey followed by traditional statistical analyses to understand the informal social networks of fire professionals in two western regions of the...

[Social-professional status, identity, social participation and media utilization. Analysis of a complex dynamics].

Science.gov (United States)

Laflamme, Simon; Roggero, Pascal; Southcott, Chris

2010-08-01

This article examines the link between the domain and level of occupation, on the one hand, and use of media, including internet, on the other. It adds to this investigation an analysis of identity in its relation to media use and accessibility. It challenges the hypothesis of a strong correlation between level of occupation and use and accessibility to media. It reveals complex phenomena of social homogenization and differentiation. Data is extracted from a sample of workers who completed a questionnaire which focused on use of media.

On improved understanding of plasma-chemical processes in complex low-temperature plasmas

Science.gov (United States)

Röpcke, Jürgen; Loffhagen, Detlef; von Wahl, Eric; Nave, Andy S. C.; Hamann, Stephan; van Helden, Jean-Piere H.; Lang, Norbert; Kersten, Holger

2018-05-01

Over the last years, chemical sensing using optical emission spectroscopy (OES) in the visible spectral range has been combined with methods of mid infrared laser absorption spectroscopy (MIR-LAS) in the molecular fingerprint region from 3 to 20 μm, which contains strong rotational-vibrational absorption bands of a large variety of gaseous species. This optical approach established powerful in situ diagnostic tools to study plasma-chemical processes of complex low-temperature plasmas. The methods of MIR-LAS enable to detect stable and transient molecular species in ground and excited states and to measure the concentrations and temperatures of reactive species in plasmas. Since kinetic processes are inherent to discharges ignited in molecular gases, high time resolution on sub-second timescales is frequently desired for fundamental studies as well as for process monitoring in applied research and industry. In addition to high sensitivity and good temporal resolution, the capacity for broad spectral coverage enabling multicomponent detection is further expanding the use of OES and MIR-LAS techniques. Based on selected examples, this paper reports on recent achievements in the understanding of complex low-temperature plasmas. Recently, a link with chemical modeling of the plasma has been provided, which is the ultimate objective for a better understanding of the chemical and reaction kinetic processes occurring in the plasma. Contribution to the Topical Issue "Fundamentals of Complex Plasmas", edited by Jürgen Meichsner, Michael Bonitz, Holger Fehske, Alexander Piel.

Microfoundations of Social Theory

DEFF Research Database (Denmark)

Felin, Teppo; Foss, Nicolai Juul; Abell, Peter Malcolm

2014-01-01

ignores – and is somehow invalidated by – the complex, “emergent” and multi-level nature of social phenomena. We focus on the need to specify and understand: 1) component actors and social complexity; 2) theory of action, aggregation, and emergence; 3) self-selection and matching; and 4) process......In this essay we respond to Jepperson and Meyer’s [2011] critique of “action theories” and methodological individualism in sociology. We highlight fundamental problems with their argument, notably their misconception of methodological individualism(s) and the belief that this explanatory principle...... and the context of action. We concurrently critique Jepperson and Meyer’s own (implicit but highly problematic and under-specified) theory of action....

Teaching Note--Teaching Intersectionality: Transforming Cultural Competence Content in Social Work Education

Science.gov (United States)

Robinson, Michael Allen; Cross-Denny, Bronwyn; Lee, Karen Kyeunghae; Werkmeister Rozas, Lisa Marie; Yamada, Ann-Marie

2016-01-01

Intersectionality has been gaining momentum among social workers as a framework to allow a fuller understanding of the complexity of diverse social identities and the impact of social structures on power, privilege, and oppression. However, the application of intersectionality to teaching in social work education has been relatively absent in the…

Modeling social norms and social influence in obesity.

Science.gov (United States)

Shoham, David A; Hammond, Ross; Rahmandad, Hazhir; Wang, Youfa; Hovmand, Peter

2015-03-01

The worldwide increase in obesity has led to changes in what is considered "normal" or desirable weight, especially among populations at higher risk. We show that social norms are key to understanding the obesity epidemic, and that social influence mechanisms provide a necessary linkage between individual obesity-related behaviors and population-level characteristics. Because influence mechanisms cannot be directly observed, we show how three complex systems tools may be used to gain insights into observed epidemiologic patterns: social network analysis, agent-based modeling, and systems dynamics modeling. However, simulation and mathematical modeling approaches raise questions regarding acceptance of findings, especially among policy makers. Nevertheless, we point to modeling successes in obesity and other fields, including the NIH-funded National Collaborative on Childhood Obesity Research (NCCOR) Envison project.

Evolution in students' understanding of thermal physics with increasing complexity

Science.gov (United States)

Langbeheim, Elon; Safran, Samuel A.; Livne, Shelly; Yerushalmi, Edit

2013-12-01

We analyze the development in students’ understanding of fundamental principles in the context of learning a current interdisciplinary research topic—soft matter—that was adapted to the level of high school students. The topic was introduced in a program for interested 11th grade high school students majoring in chemistry and/or physics, in an off-school setting. Soft matter was presented in a gradual increase in the degree of complexity of the phenomena as well as in the level of the quantitative analysis. We describe the evolution in students’ use of fundamental thermodynamics principles to reason about phase separation—a phenomenon that is ubiquitous in soft matter. In particular, we examine the impact of the use of free energy analysis, a common approach in soft matter, on the understanding of the fundamental principles of thermodynamics. The study used diagnostic questions and classroom observations to gauge the student’s learning. In order to gain insight on the aspects that shape the understanding of the basic principles, we focus on the responses and explanations of two case-study students who represent two trends of evolution in conceptual understanding in the group. We analyze changes in the two case studies’ management of conceptual resources used in their analysis of phase separation, and suggest how their prior knowledge and epistemological framing (a combination of their personal tendencies and their prior exposure to different learning styles) affect their conceptual evolution. Finally, we propose strategies to improve the instruction of these concepts.

An Approach to Understanding Complex Socio-Economic Impacts and Responses to Climate Disruption in the Chesapeake Bay Region

Science.gov (United States)

Schaefer, R. K.; Nix, M.; Ihde, A. G.; Paxton, L. J.; Weiss, M.; Simpkins, S.; Fountain, G. H.; APl GAIA Team

2011-12-01

In this paper we describe the application of a proven methodology for modeling the complex social and economic interactions of a system under stress to the regional issues that are tied to global climate disruption. Under the auspices of the GAIA project (http://gaia.jhuapl.edu), we have investigated simulating the complex interplay between climate, politics, society, industry, and the environment in the Chesapeake Bay Watershed and associated geographic areas of Maryland, Virginia, and Pennsylvania. This Chesapeake Bay simulation draws on interrelated geophysical and climate models to support decision-making analysis about the Bay. In addition to physical models, however, human activity is also incorporated via input and output calculations. For example, policy implications are modeled in relation to business activities surrounding fishing, farming, industry and manufacturing, land development, and tourism. This approach fosters collaboration among subject matter experts to advance a more complete understanding of the regional impacts of climate change. Simulated interactive competition, in which teams of experts are assigned conflicting objectives in a controlled environment, allow for subject exploration which avoids trivial solutions that neglect the possible responses of affected parties. Results include improved planning, the anticipation of areas of conflict or high risk, and the increased likelihood of developing mutually acceptable solutions.

Neuroscience-Enabled Complex Visual Scene Understanding

Science.gov (United States)

2012-04-12

34, Rivista di Psicologia 49 (1): 7–30 • Kauppinen, Hannu. Seppanen, Tapio and Pietikainen, Matti. An Experimental Comparison of Autoregressive and...a Social Robot,“ IJCAI, pp. 1146-1151, 1999. [63] G. Heidemann, R. Rae, H. Bekel, I. Bax, and H. Ritter, ”Inte- grating Context-free and Context... social interaction. In Interna- tional Conference on Robotics, Automation, and Mecha- tronics (RAM 2006), Bangkok Thailand. Se, S., Lowe, D. G

Statistics and Data Interpretation for Social Work

CERN Document Server

Rosenthal, James

2011-01-01

"Without question, this text will be the most authoritative source of information on statistics in the human services. From my point of view, it is a definitive work that combines a rigorous pedagogy with a down to earth (commonsense) exploration of the complex and difficult issues in data analysis (statistics) and interpretation. I welcome its publication.". -Praise for the First Edition. Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes

Embodiment of social roles and thinness as a form of capital: A qualitative approach towards understanding female obesity disparities in Chile.

Science.gov (United States)

Robinovich, Jossiana; Ossa, Ximena; Baeza, Bernardita; Krumeich, Anja; van der Borne, Bart

2018-03-01

Obesity in Chile disproportionately affects women of low socioeconomic status (SES). Research has shown that ideals of body size and differences in perceived social pressure for being slim across socioeconomic strata contribute to the social stratification of body size among women in modern societies. Thinness is most valued by high SES women, following western standards of ideal body size. Aiming to understand the link between ideals of body size and SES, this qualitative study explored how 36 Chilean women construct their bodily ideals according to their social position. A purposive sample of women with different profiles with regard to educational attainment, nutritional status and body size (dis)satisfaction was defined, aiming to cover a diverse spectrum of bodily perceptions. Data were collected through semi-structured interviews and approached through a thematic and narrative analysis. Drawing on Bourdieu's concepts of habitus, field, capital and embodiment of the social context, this study explains how ideals of body size and appearance are strongly linked to class-dependent gender roles and social roles. The existing gender and class inequalities in the Chilean social structure have been literally embodied by these women through a 'gendered class habitus'. Compliance with the thin ideal confers women different degrees of power according to their social position in different fields, such as in marriage and on the labour market, which turns thinness into an embodied form of capital. The societal dynamic behind obesity rates cannot be disregarded when approaching possible solutions. Promoting obesity-related lifestyle modification at an individual level might appear an over-simplistic and individualistic approach to a complex social issue. Context-oriented interventions that take cultural constructions of gender and social class into account might yield better results in the long term, while advocating for a more equitable society and social justice as a

Emergence of communities and diversity in social networks.

Science.gov (United States)

Han, Xiao; Cao, Shinan; Shen, Zhesi; Zhang, Boyu; Wang, Wen-Xu; Cressman, Ross; Stanley, H Eugene

2017-03-14

Communities are common in complex networks and play a significant role in the functioning of social, biological, economic, and technological systems. Despite widespread interest in detecting community structures in complex networks and exploring the effect of communities on collective dynamics, a deep understanding of the emergence and prevalence of communities in social networks is still lacking. Addressing this fundamental problem is of paramount importance in understanding, predicting, and controlling a variety of collective behaviors in society. An elusive question is how communities with common internal properties arise in social networks with great individual diversity. Here, we answer this question using the ultimatum game, which has been a paradigm for characterizing altruism and fairness. We experimentally show that stable local communities with different internal agreements emerge spontaneously and induce social diversity into networks, which is in sharp contrast to populations with random interactions. Diverse communities and social norms come from the interaction between responders with inherent heterogeneous demands and rational proposers via local connections, where the former eventually become the community leaders. This result indicates that networks are significant in the emergence and stabilization of communities and social diversity. Our experimental results also provide valuable information about strategies for developing network models and theories of evolutionary games and social dynamics.

Understanding Interorganizational Learning Based on Social Spaces and Learning Episodes

Directory of Open Access Journals (Sweden)

Anelise Rebelato Mozzato

2014-07-01

Full Text Available Different organizational settings have been gaining ground in the world economy, resulting in a proliferation of different forms of strategic alliances that translate into a growth in the number of organizations that have started to deal with interorganizational relationships with different actors. These circumstances reinforce Crossan, Lane, White and Djurfeldt (1995 and Crossan, Mauer and White (2011 in exploring what authors refer to as the fourth, interorganizational, level of learning. These authors, amongst others, suggest that the process of interorganizational learning (IOL warrants investigation, as its scope of analysis needs widening and deepening. Therefore, this theoretical essay is an attempt to understand IOL as a dynamic process found in interorganizational cooperative relationships that can take place in different structured and unstructured social spaces and that can generate learning episodes. According to this view, IOL is understood as part of an organizational learning continuum and is analyzed within the framework of practical rationality in an approach that is less cognitive and more social-behavioral.

Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design.

Science.gov (United States)

Islam, Roosan; Weir, Charlene R; Jones, Makoto; Del Fiol, Guilherme; Samore, Matthew H

2015-11-30

Clinical experts' cognitive mechanisms for managing complexity have implications for the design of future innovative healthcare systems. The purpose of the study is to examine the constituents of decision complexity and explore the cognitive strategies clinicians use to control and adapt to their information environment. We used Cognitive Task Analysis (CTA) methods to interview 10 Infectious Disease (ID) experts at the University of Utah and Salt Lake City Veterans Administration Medical Center. Participants were asked to recall a complex, critical and vivid antibiotic-prescribing incident using the Critical Decision Method (CDM), a type of Cognitive Task Analysis (CTA). Using the four iterations of the Critical Decision Method, questions were posed to fully explore the incident, focusing in depth on the clinical components underlying the complexity. Probes were included to assess cognitive and decision strategies used by participants. The following three themes emerged as the constituents of decision complexity experienced by the Infectious Diseases experts: 1) the overall clinical picture does not match the pattern, 2) a lack of comprehension of the situation and 3) dealing with social and emotional pressures such as fear and anxiety. All these factors contribute to decision complexity. These factors almost always occurred together, creating unexpected events and uncertainty in clinical reasoning. Five themes emerged in the analyses of how experts deal with the complexity. Expert clinicians frequently used 1) watchful waiting instead of over- prescribing antibiotics, engaged in 2) theory of mind to project and simulate other practitioners' perspectives, reduced very complex cases into simple 3) heuristics, employed 4) anticipatory thinking to plan and re-plan events and consulted with peers to share knowledge, solicit opinions and 5) seek help on patient cases. The cognitive strategies to deal with decision complexity found in this study have important

Complexities of coalition building: leaders' successes, strategies, struggles, and solutions.

Science.gov (United States)

Mizrahi, T; Rosenthal, B B

2001-01-01

Government and private funding initiatives are promoting coalitions, collaborations, and other interorganizational approaches to address complex community, social services, and health issues. Social work organizers and administrators are increasingly leading coalitions themselves or representing their organizations in collaborative planning and problem solving, often without understanding how to manage the complexities involved in interorganizational relationships. This article reports on aspects of a larger quantitative and qualitative research project that studied coalition dynamics, operations, and outcomes. Coalition leaders interviewed defined success in multiple ways. Competent leadership was the factor most often identified with coalition success.

Evidence of complex contagion of information in social media: An experiment using Twitter bots

DEFF Research Database (Denmark)

Mønsted, Bjarke Mørch; Sapiezynski, Piotr; Ferrara, Emilio

2017-01-01

It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is whether information spreads according to simple or complex......, therefore, unable to disentangle the effects of confounding factors such as social reinforcement, homophily, limited attention, or network community structure. Here we describe a novel controlled experiment that we performed on Twitter using 'social bots' deployed to carry out coordinated attempts...

A Framework for Understanding and Generating Integrated Solutions for Residential Peak Energy Demand

Science.gov (United States)

Buys, Laurie; Vine, Desley; Ledwich, Gerard; Bell, John; Mengersen, Kerrie; Morris, Peter; Lewis, Jim

2015-01-01

Supplying peak energy demand in a cost effective, reliable manner is a critical focus for utilities internationally. Successfully addressing peak energy concerns requires understanding of all the factors that affect electricity demand especially at peak times. This paper is based on past attempts of proposing models designed to aid our understanding of the influences on residential peak energy demand in a systematic and comprehensive way. Our model has been developed through a group model building process as a systems framework of the problem situation to model the complexity within and between systems and indicate how changes in one element might flow on to others. It is comprised of themes (social, technical and change management options) networked together in a way that captures their influence and association with each other and also their influence, association and impact on appliance usage and residential peak energy demand. The real value of the model is in creating awareness, understanding and insight into the complexity of residential peak energy demand and in working with this complexity to identify and integrate the social, technical and change management option themes and their impact on appliance usage and residential energy demand at peak times. PMID:25807384

Mexican American Children's Ethnic Identity, Understanding of Ethnic Prejudice, and Parental Ethnic Socialization.

Science.gov (United States)

Quintana, Stephen M.; Vera, Elizabeth M.

1999-01-01

Interviews with 47 Mexican-American children in grades 2 and 6 and their parents revealed that parental ethnic socialization about ethnic discrimination was associated with children's development of ethnic knowledge. Children's understanding of ethnic prejudice was related to their ethnic knowledge but not their ethnic behaviors. Contains 24…

Associations between Social Understanding, Sibling Relationship Quality, and Siblings' Conflict Strategies and Outcomes

Science.gov (United States)

Recchia, Holly E.; Howe, Nina

2009-01-01

Sibling relationship quality and social understanding (second-order false belief, conflict interpretation, and narrative conflict perspective references) were examined as unique and interactive correlates of sibling conflict behavior in 62 dyads (older M age = 8.39 years and younger M age = 6.06 years). High-quality relationships were associated…

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Health benefits of primary care social work for adults with complex health and social needs: a systematic review.

Science.gov (United States)

McGregor, Jules; Mercer, Stewart W; Harris, Fiona M

2018-01-01

The prevalence of complex health and social needs in primary care patients is growing. Furthermore, recent research suggests that the impact of psychosocial distress on the significantly poorer health outcomes in this population may have been underestimated. The potential of social work in primary care settings has been extensively discussed in both health and social work literature and there is evidence that social work interventions in other settings are particularly effective in addressing psychosocial needs. However, the evidence base for specific improved health outcomes related to primary care social work is minimal. This review aimed to identify and synthesise the available evidence on the health benefits of social work interventions in primary care settings. Nine electronic databases were searched from 1990 to 2015 and seven primary research studies were retrieved. Due to the heterogeneity of studies, a narrative synthesis was conducted. Although there is no definitive evidence for effectiveness, results suggest a promising role for primary care social work interventions in improving health outcomes. These include subjective health measures and self-management of long-term conditions, reducing psychosocial morbidity and barriers to treatment and health maintenance. Although few rigorous study designs were found, the contextual detail and clinical settings of studies provide evidence of the practice applicability of social work intervention. Emerging policy on the integration of health and social care may provide an opportunity to develop this model of care. © 2016 John Wiley & Sons Ltd.

Evolution in students’ understanding of thermal physics with increasing complexity

Directory of Open Access Journals (Sweden)

Elon Langbeheim

2013-11-01

Full Text Available We analyze the development in students’ understanding of fundamental principles in the context of learning a current interdisciplinary research topic—soft matter—that was adapted to the level of high school students. The topic was introduced in a program for interested 11th grade high school students majoring in chemistry and/or physics, in an off-school setting. Soft matter was presented in a gradual increase in the degree of complexity of the phenomena as well as in the level of the quantitative analysis. We describe the evolution in students’ use of fundamental thermodynamics principles to reason about phase separation—a phenomenon that is ubiquitous in soft matter. In particular, we examine the impact of the use of free energy analysis, a common approach in soft matter, on the understanding of the fundamental principles of thermodynamics. The study used diagnostic questions and classroom observations to gauge the student’s learning. In order to gain insight on the aspects that shape the understanding of the basic principles, we focus on the responses and explanations of two case-study students who represent two trends of evolution in conceptual understanding in the group. We analyze changes in the two case studies’ management of conceptual resources used in their analysis of phase separation, and suggest how their prior knowledge and epistemological framing (a combination of their personal tendencies and their prior exposure to different learning styles affect their conceptual evolution. Finally, we propose strategies to improve the instruction of these concepts.

Understanding social capital in sports clubs: participation, duration and social trust

DEFF Research Database (Denmark)

Elmose-Østerlund, Karsten; Van der Roest, Jan-Willem

2017-01-01

A central claim in Robert Putnam’s theory of social capital is that participation in voluntary organizations can foster social trust among members that are active and engaged. Based on this claim, this article examines how duration of membership and member participation impacts upon levels...... of social trust among sports club members. The results show that neither participation nor duration impacts on levels of social trust – a result found in survey studies conducted in Denmark and the Netherlands. Sophisticated participation measures and the inclusion of duration of membership set this study...... apart from previous studies on social capital. The fact that no correlation can be identified between participation and duration on one side and social trust on the other adds weight to the claim that, even though numerous studies find higher levels of social trust among members of voluntary...

An assessment of the quality of shared outdoor spaces in three South African social housing complexes

CSIR Research Space (South Africa)

Sebake, N

2015-05-01

Full Text Available This article presents a study that assessed the extent to which the quality of shared outdoor spaces in social housing complexes in the City of Tshwane conformed to specifications of the Social Housing Policy. To conduct this assessment, criteria...

A review of human factors challenges of complex adaptive systems: discovering and understanding chaos in human performance.

Science.gov (United States)

Karwowski, Waldemar

2012-12-01

In this paper, the author explores a need for a greater understanding of the true nature of human-system interactions from the perspective of the theory of complex adaptive systems, including the essence of complexity, emergent properties of system behavior, nonlinear systems dynamics, and deterministic chaos. Human performance, more often than not, constitutes complex adaptive phenomena with emergent properties that exhibit nonlinear dynamical (chaotic) behaviors. The complexity challenges in the design and management of contemporary work systems, including service systems, are explored. Examples of selected applications of the concepts of nonlinear dynamics to the study of human physical performance are provided. Understanding and applications of the concepts of theory of complex adaptive and dynamical systems should significantly improve the effectiveness of human-centered design efforts of a large system of systems. Performance of many contemporary work systems and environments may be sensitive to the initial conditions and may exhibit dynamic nonlinear properties and chaotic system behaviors. Human-centered design of emergent human-system interactions requires application of the theories of nonlinear dynamics and complex adaptive system. The success of future human-systems integration efforts requires the fusion of paradigms, knowledge, design principles, and methodologies of human factors and ergonomics with those of the science of complex adaptive systems as well as modern systems engineering.

Understanding health systems, health economies and globalization: the need for social science perspectives.

Science.gov (United States)

Murray, Susan F; Bisht, Ramila; Baru, Rama; Pitchforth, Emma

2012-08-31

The complex relationship between globalization and health calls for research from many disciplinary and methodological perspectives. This editorial gives an overview of the content trajectory of the interdisciplinary journal 'Globalization and Health' over the first six years of production, 2005 to 2010. The findings show that bio-medical and population health perspectives have been dominant but that social science perspectives have become more evident in recent years. The types of paper published have also changed, with a growing proportion of empirical studies. A special issue on 'Health systems, health economies and globalization: social science perspectives' is introduced, a collection of contributions written from the vantage points of economics, political science, psychology, sociology, business studies, social policy and research policy. The papers concern a range of issues pertaining to the globalization of healthcare markets and governance and regulation issues. They highlight the important contribution that can be made by the social sciences to this field, and also the practical and methodological challenges implicit in the study of globalization and health.

Understanding health systems, health economies and globalization: the need for social science perspectives

Directory of Open Access Journals (Sweden)

Murray Susan F

2012-08-01

Full Text Available Abstract The complex relationship between globalization and health calls for research from many disciplinary and methodological perspectives. This editorial gives an overview of the content trajectory of the interdisciplinary journal ‘Globalization and Health’ over the first six years of production, 2005 to 2010. The findings show that bio-medical and population health perspectives have been dominant but that social science perspectives have become more evident in recent years. The types of paper published have also changed, with a growing proportion of empirical studies. A special issue on ‘Health systems, health economies and globalization: social science perspectives’ is introduced, a collection of contributions written from the vantage points of economics, political science, psychology, sociology, business studies, social policy and research policy. The papers concern a range of issues pertaining to the globalization of healthcare markets and governance and regulation issues. They highlight the important contribution that can be made by the social sciences to this field, and also the practical and methodological challenges implicit in the study of globalization and health.

How Random Is Social Behaviour? Disentangling Social Complexity through the Study of a Wild House Mouse Population

Science.gov (United States)

Perony, Nicolas; Tessone, Claudio J.; König, Barbara; Schweitzer, Frank

2012-01-01

Out of all the complex phenomena displayed in the behaviour of animal groups, many are thought to be emergent properties of rather simple decisions at the individual level. Some of these phenomena may also be explained by random processes only. Here we investigate to what extent the interaction dynamics of a population of wild house mice (Mus domesticus) in their natural environment can be explained by a simple stochastic model. We first introduce the notion of perceptual landscape, a novel tool used here to describe the utilisation of space by the mouse colony based on the sampling of individuals in discrete locations. We then implement the behavioural assumptions of the perceptual landscape in a multi-agent simulation to verify their accuracy in the reproduction of observed social patterns. We find that many high-level features – with the exception of territoriality – of our behavioural dataset can be accounted for at the population level through the use of this simplified representation. Our findings underline the potential importance of random factors in the apparent complexity of the mice's social structure. These results resonate in the general context of adaptive behaviour versus elementary environmental interactions. PMID:23209394

Social Work and Lived Citizenship

DEFF Research Database (Denmark)

Warming, Hanne; Fahnøe, Kristian

2017-01-01

Warming and Fahnøe offers, through introduction of the sensitising concept of lived citizenship and a socio-spatial perspective, a much needed renewal of the rights and strength based approach to social work practice and research towards an almost anthropological understanding of the social...... of meaning and power as (re-) producing practices through which clients experience and negotiate rights, responsibilities, participation, identity and belonging, and thereby of dynamics of inclusion and exclusion related to social work....... situation of vulnerable groups. Indeed, they show how the concept of lived citizenship, and four supporting concepts (disciplinary versus inclusive identity shaping; intimate citizenship; space; community governance) enables contextualized analyses of the complexities of social work as a social space...

Does aging impair first impression accuracy? Differentiating emotion recognition from complex social inferences.

Science.gov (United States)

Krendl, Anne C; Rule, Nicholas O; Ambady, Nalini

2014-09-01

Young adults can be surprisingly accurate at making inferences about people from their faces. Although these first impressions have important consequences for both the perceiver and the target, it remains an open question whether first impression accuracy is preserved with age. Specifically, could age differences in impressions toward others stem from age-related deficits in accurately detecting complex social cues? Research on aging and impression formation suggests that young and older adults show relative consensus in their first impressions, but it is unknown whether they differ in accuracy. It has been widely shown that aging disrupts emotion recognition accuracy, and that these impairments may predict deficits in other social judgments, such as detecting deceit. However, it is unclear whether general impression formation accuracy (e.g., emotion recognition accuracy, detecting complex social cues) relies on similar or distinct mechanisms. It is important to examine this question to evaluate how, if at all, aging might affect overall accuracy. Here, we examined whether aging impaired first impression accuracy in predicting real-world outcomes and categorizing social group membership. Specifically, we studied whether emotion recognition accuracy and age-related cognitive decline (which has been implicated in exacerbating deficits in emotion recognition) predict first impression accuracy. Our results revealed that emotion recognition accuracy did not predict first impression accuracy, nor did age-related cognitive decline impair it. These findings suggest that domains of social perception outside of emotion recognition may rely on mechanisms that are relatively unimpaired by aging. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Communicating science in social settings.

Science.gov (United States)

Scheufele, Dietram A

2013-08-20

This essay examines the societal dynamics surrounding modern science. It first discusses a number of challenges facing any effort to communicate science in social environments: lay publics with varying levels of preparedness for fully understanding new scientific breakthroughs; the deterioration of traditional media infrastructures; and an increasingly complex set of emerging technologies that are surrounded by a host of ethical, legal, and social considerations. Based on this overview, I discuss four areas in which empirical social science helps clarify intuitive but sometimes faulty assumptions about the social-level mechanisms of science communication and outline an agenda for bench and social scientists--driven by current social-scientific research in the field of science communication--to guide more effective communication efforts at the societal level in the future.

Understanding Social Media’s Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions

Energy Technology Data Exchange (ETDEWEB)

Pathak, Neetu; Henry, Michael J.; Volkova, Svitlana

2017-03-29

Social media is a powerful data source for researchers interested in understanding population-level behavior, having been successfully leveraged in a number of different application areas including flu and illness prediction models, detecting civil unrest, and measuring public sentiment towards a given topic of interest within the public discourse. In this work, we present a study of a large collection of Twitter data centered on the social conversation around global cli- mate change during the UN Climate Change Conference, held in Paris, France during December 2015 (COP21). We first developed a mechanism for distinguishing between personal and non-personal accounts. We then analyzed demographics and emotion and opinion dynamics over time and location in order to understand how the different user types converse around meaningful topics on social media. This methodology offers an in-depth insight into the behavior and opinions around a topic where multiple distinct narratives are present, and lays the groundwork for future work in studying narratives in social media.

Understanding factors influencing vulnerable older people keeping warm and well in winter: a qualitative study using social marketing techniques.

Science.gov (United States)

Tod, Angela Mary; Lusambili, Adelaide; Homer, Catherine; Abbott, Joanne; Cooke, Joanne Mary; Stocks, Amanda Jayne; McDaid, Kathleen Anne

2012-01-01

To understand the influences and decisions of vulnerable older people in relation to keeping warm in winter. A qualitative study incorporating in-depth, semi-structured individual and group interviews, framework analysis and social marketing segmentation techniques. Rotherham, South Yorkshire, UK. 50 older people (>55) and 25 health and social care staff underwent individual interview. The older people also had household temperature measurements. 24 older people and 19 health and social care staff participated in one of the six group interviews. Multiple complex factors emerged to explain whether vulnerable older people were able to keep warm. These influences combined in various ways that meant older people were not able to or preferred not to access help or change home heating behaviour. Factors influencing behaviours and decisions relating to use of heating, spending money, accessing cheaper tariffs, accessing benefits or asking for help fell into three main categories. These were situational and contextual factors, attitudes and values, and barriers. Barriers included poor knowledge and awareness, technology, disjointed systems and the invisibility of fuel and fuel payment. Findings formed the basis of a social marketing segmentation model used to develop six pen portraits that illustrated how factors that conspire against older people being able to keep warm. The findings illustrate how and why vulnerable older people may be at risk of a cold home. The pen portraits provide an accessible vehicle and reflective tool to raise the capacity of the NHS in responding to their needs in line with the Cold Weather Plan.

Understanding and accounting for relational context is critical for social neuroscience.

Science.gov (United States)

Clark-Polner, Elizabeth; Clark, Margaret S

2014-01-01

Scientists have increasingly turned to the brain and to neuroscience more generally to further an understanding of social and emotional judgments and behavior. Yet, many neuroscientists (certainly not all) do not consider the role of relational context. Moreover, most have not examined the impact of relational context in a manner that takes advantage of conceptual and empirical advances in relationship science. Here we emphasize that: (1) all social behavior takes place, by definition, within the context of a relationship (even if that relationship is a new one with a stranger), and (2) relational context shapes not only social thoughts, feelings, and behaviors, but also some seemingly non-social thoughts, feelings, and behaviors in profound ways. We define relational context and suggest that accounting for it in the design and interpretation of neuroscience research is essential to the development of a coherent, generalizable neuroscience of social behavior. We make our case in two ways: (a) we describe some existing neuroscience research in three substantive areas (perceiving and reacting to others' emotions, providing help, and receiving help) that already has documented the powerful impact of relational context. (b) We describe some other neuroscience research from these same areas that has not taken relational context into account. Then, using findings from social and personality psychology, we make a case that different results almost certainly would have been found had the research been conducted in a different relational context. We neither attempt to review all evidence that relational context shapes neuroscience findings nor to put forward a theoretical analysis of all the ways relational context ought to shape neuroscience findings. Our goal is simply to urge greater and more systematic consideration of relational context in neuroscientific research.

Acts of Reciprocity: Analyzing Social Exchange in a University Theater for Social Change Project

Science.gov (United States)

Cloeren, Nicole Birgit

2010-01-01

In this study I sought to understand the complexities of the processes of reciprocity within a theater for social change service-learning project. My sample included three university students, one university faculty member, four high school students, one high school principal, and one high school teacher. As a participant- observer, I conducted an…

Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications

Directory of Open Access Journals (Sweden)

Xianlei Dong

2016-03-01

Full Text Available Purpose: We propose and apply a simplified nowcasting model to understand the correlations between social attention and topic trends of scientific publications. Design/methodology/approach: First, topics are generated from the obesity corpus by using the latent Dirichlet allocation (LDA algorithm and time series of keyword search trends in Google Trends are obtained. We then establish the structural time series model using data from January 2004 to December 2012, and evaluate the model using data from January 2013. We employ a state-space model to separate different non-regression components in an observational time series (i.e. the tendency and the seasonality and apply the “spike and slab prior” and stepwise regression to analyze the correlations between the regression component and the social media attention. The two parts are combined using Markov-chain Monte Carlo sampling techniques to obtain our results. Findings: The results of our study show that (1 the number of publications on child obesity increases at a lower rate than that of diabetes publications; (2 the number of publication on a given topic may exhibit a relationship with the season or time of year; and (3 there exists a correlation between the number of publications on a given topic and its social media attention, i.e. the search frequency related to that topic as identified by Google Trends. We found that our model is also able to predict the number of publications related to a given topic. Research limitations: First, we study a correlation rather than causality between topics' trends and social media. As a result, the relationships might not be robust, so we cannot predict the future in the long run. Second, we cannot identify the reasons or conditions that are driving obesity topics to present such tendencies and seasonal patterns, so we might need to do “field” study in the future. Third, we need to improve the efficiency of our model by finding more efficient

The Perspectives to Understand Social Marketing as an Approach in Influencing Consumer Behavior for Good

Directory of Open Access Journals (Sweden)

Iin Mayasari

2012-05-01

Full Text Available This study is a conceptual paper and highlights perspectives to understand social marketing as an approach to bring about voluntary and socially desirable consumer behavior. The perspective is considered as an alternative way to comprehend consumer behavior change for good as a multi-factor driven action. Hence, social marketing is also considered as a discipline that can be analyzed from multiple perspectives including a behavioral change perspective and a relationship perspective. Each perspective is elaborated by doing a review of existing literature and research. This study shows that social marketing is not only the application of marketing programs to shape consumer behavior, but also a process involving individual, society, and government to make a better life of society.

Understanding Student Learning in Context: Relationships between University Students' Social Identity, Approaches to Learning, and Academic Performance

Science.gov (United States)

Bliuc, Ana-Maria; Ellis, Robert A.; Goodyear, Peter; Hendres, Daniela Muntele

2011-01-01

This research focuses on understanding how socio-psychological dimensions such as student social identity and student perceptions of their learning community affect learning at university. To do this, it integrates ideas from phenomenographic research into student learning with ideas from research on social identity. In two studies (N = 110, and N…

Exploring the practicing-connections hypothesis: using gesture to support coordination of ideas in understanding a complex statistical concept.

Science.gov (United States)

Son, Ji Y; Ramos, Priscilla; DeWolf, Melissa; Loftus, William; Stigler, James W

2018-01-01

In this article, we begin to lay out a framework and approach for studying how students come to understand complex concepts in rich domains. Grounded in theories of embodied cognition, we advance the view that understanding of complex concepts requires students to practice, over time, the coordination of multiple concepts, and the connection of this system of concepts to situations in the world. Specifically, we explore the role that a teacher's gesture might play in supporting students' coordination of two concepts central to understanding in the domain of statistics: mean and standard deviation. In Study 1 we show that university students who have just taken a statistics course nevertheless have difficulty taking both mean and standard deviation into account when thinking about a statistical scenario. In Study 2 we show that presenting the same scenario with an accompanying gesture to represent variation significantly impacts students' interpretation of the scenario. Finally, in Study 3 we present evidence that instructional videos on the internet fail to leverage gesture as a means of facilitating understanding of complex concepts. Taken together, these studies illustrate an approach to translating current theories of cognition into principles that can guide instructional design.

Understanding social capital and HIV risk in rural African American communities.

Science.gov (United States)

Cené, Crystal W; Akers, Aletha Y; Lloyd, Stacey W; Albritton, Tashuna; Powell Hammond, Wizdom; Corbie-Smith, Giselle

2011-07-01

African Americans (AA) and rural communities often suffer disproportionately from poorer health. Theory-guided research examining how individual- and community-level factors influence health behaviors and contribute to disparities is needed. To understand how a social network model that captures the interplay between individual and community factors might inform community-based interventions to reduce HIV risk in rural AA communities. Qualitative study. Eleven focus groups with 38 AA 16-24 year olds, 42 adults over age 25, and 13 formerly incarcerated individuals held in community settings in two rural, predominantly AA counties in North Carolina. Thirty-seven semi-structured interviews with multiethnic key informants. Semi-structured interviews and focus groups with open-ended questions assessed a) perceptions of multi-level HIV risk determinants from a social network model (individual, interpersonal, social, economic, political and structural) identified through literature review and b) community needs and assets affecting local HIV rates. Qualitative data was analyzed using directive content analysis guided by a social network model. We identified four themes regarding the interaction between individuals and their communities that mediate HIV risk: interpersonal processes, community structural environment, social disorder, and civic engagement. Communities were characterized as having a high degree of cohesiveness, tension, and HIV-related stigma. The community structural environment-characterized by neighborhood poverty, lack of skilled jobs, segregation, political disenfranchisement and institutional racism-was felt to reduce the availability and accessibility of resources to combat HIV. Adults noted an inability to combat social problems due to social disorder, which fuels HIV risk behaviors. Civic engagement as a means of identifying community concerns and developing solutions is limited by churches' reluctance to address HIV-related issues. To combat HIV

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Understanding Contextual and Social Meaning in Typically Developing Finnish-Speaking Four- To Eight-Year-Old Children

Directory of Open Access Journals (Sweden)

Loukusa Soile

2017-12-01

Full Text Available This study examined the development of social-pragmatic comprehension in 170 Finnish four- to eight-year-old children. The children were asked to respond to socially and contextually demanding questions targeting their social-pragmatic language processing, and to explain their correct answers in order to elicit their awareness of how they had derived the answers from the context. The results showed that the number of correct answers increased especially between the ages of four and seven years. We found that questions demanding contextual processing without mind-reading were the easiest to understand, followed by questions demanding processing of feelings of others and false beliefs. The questions demanding understanding of relevant language use and processing of contextual factors including mental states and intentions were the most challenging for the children. Between four and five years of age there was a remarkable developmental phase in children’s ability to give proper explanations.

Multiactivity in Social Interaction

DEFF Research Database (Denmark)

Doing more than one thing at the same time – a phenomenon that is often called ‘multitasking’ – is characteristic to many situations in everyday and professional life. Although we all experience it, its real time features remain understudied. Multiactivity in Social Interaction: Beyond multitasking...... by using video recordings of real-life interactions from a range of different contexts, such as medical settings, office workplaces and car driving. With the companion collection Interacting with Objects: Language, materiality, and social activity, the book advances understanding of the complex...

Strong Numbers and Weak Perceptions: Understanding the "Rodney Dangerfield Economy"

Science.gov (United States)

Wood, William C.

2006-01-01

Ordinary citizens, politicians, and economists alike regularly ask how the economy is doing. With a highly polarized electorate and media to match, it has become harder to get an honest answer. Social educators should understand the complexity of such a question--and the subtlety of the answers--as they approach the topic themselves. The American…

Health literacy and the social determinants of health

DEFF Research Database (Denmark)

Rowlands, Gillian; Shaw, Adrienne; Jaswal, Sabrena

2017-01-01

Health literacy, 'the personal characteristics and social resources needed for individuals and communities to access, understand, appraise and use information and services to make decisions about health', is key to improving peoples' control over modifiable social determinants of health (SDH...... and culture. Basic (functional) health literacy skills were needed to gather and understand information. More complex interactive health literacy skills were needed to evaluate the importance and relevance of information in context, and make health decisions. Critical health literacy skills could be used......). This study listened to adult learners to understand their perspectives on gathering, understanding and using information for health. This qualitative project recruited participants from community skills courses to identify relevant 'health information' factors. Subsequently different learners put...

Defining Disability: Understandings of and Attitudes Towards Ableism and Disability

Directory of Open Access Journals (Sweden)

Carli Friedman

2017-03-01

Full Text Available Disabled people, amidst political and social gains, continue to experience discrimination in multiple areas. Understanding how such discrimination, named here as ableism, operates is important and may require studying perspectives of people who do not claim a disability identity. Ableism may be expressed in a number of ways, and examining how a particular group, in this case siblings of disabled people, understand and value disability may contribute to overall understandings about how ableism works. Thus, the purpose of this study is to explore relationships between siblings of disabled people's broad societal understandings of disability and their attitudes towards it. In order to tease out this relationship further we have also examined factors that impact how people define disability. Using both social psychological and sociological approaches, we have contextualized individual attitudes as providing additional new information about social meanings of disability, and set this study's results against the larger backdrops of debates over meanings of disability within Disability Studies. In our research, participants revealed complex understandings of disability, but most often defined disability as preventing or slowing action, as an atypical function, a lack of independence, and as a socially constructed obstacle. Participants' unconscious (implicit disability attitudes significantly related to their understandings of disability as lacking independence, impairment, and/or in relation to the norm, and their conscious (explicit disability attitudes. Moreover, longer employment in a disability-related industry was correlated with defining disability as a general difference, rather than as slowing or limiting of tasks.

Science Outside the Lab: Helping Graduate Students in Science and Engineering Understand the Complexities of Science Policy.

Science.gov (United States)

Bernstein, Michael J; Reifschneider, Kiera; Bennett, Ira; Wetmore, Jameson M

2017-06-01

Helping scientists and engineers challenge received assumptions about how science, engineering, and society relate is a critical cornerstone for macroethics education. Scientific and engineering research are frequently framed as first steps of a value-free linear model that inexorably leads to societal benefit. Social studies of science and assessments of scientific and engineering research speak to the need for a more critical approach to the noble intentions underlying these assumptions. "Science Outside the Lab" is a program designed to help early-career scientists and engineers understand the complexities of science and engineering policy. Assessment of the program entailed a pre-, post-, and 1 year follow up survey to gauge student perspectives on relationships between science and society, as well as a pre-post concept map exercise to elicit student conceptualizations of science policy. Students leave Science Outside the Lab with greater humility about the role of scientific expertise in science and engineering policy; greater skepticism toward linear notions of scientific advances benefiting society; a deeper, more nuanced understanding of the actors involved in shaping science policy; and a continued appreciation of the contributions of science and engineering to society. The study presents an efficacious program that helps scientists and engineers make inroads into macroethical debates, reframe the ways in which they think about values of science and engineering in society, and more thoughtfully engage with critical mediators of science and society relationships: policy makers and policy processes.

Changing behaviours, pushing social practices towards more sustainability. The contribution of human and social sciences to understand and act

International Nuclear Information System (INIS)

Martin, Solange; Gaspard, Albane

2016-09-01

Beyond broad policy declarations, the implementation of ecological transition - which consists mainly in curbing consumption of energy and raw materials in our societies - requires substantial behavioural change at the collective, but also, quite obviously, the individual level. Yet, though there is general consensus around the principle of embarking on the path to transition, things get more complicated when it comes to changing our practices and habits. Can we act on individual behaviour and collective dynamics in respect of this particular aim of ecological transition, and, if so, how are we to go about it? Solange Martin and Albane Gaspard have examined this question for the French Environment and Energy Management Agency (ADEME) and offer us the fruit of their labours here. They show, for example, how the social and human sciences help to understand behaviour both at the individual level and in its collective dimensions, and they outline different possible lines of action to modify it. But, given the entanglement between various levels, it is essential, if we are to act effectively on behaviour, to combine approaches, tools and actors, and to analyse and understand social practices thoroughly before implementing political projects or measures

Citizen Data Science for Social Good in Complex Systems: Case Studies and Vignettes from Recent Projects

OpenAIRE

Banerjee, Soumya

2017-01-01

The confluence of massive amounts of openly available data, sophisticated machine learning algorithms and an enlightened citizenry willing to engage in data science presents novel opportunities for crowd sourced data science for social good. In this submission, I present vignettes of data science projects that I have been involved in and which have impact in various spheres of life and on social good. Complex systems are all around us: from social networks to transportation sys...

Social strategy games in communicating trade-offs between mitigation and adaptation in cities

DEFF Research Database (Denmark)

Juhola, Sirkku; Driscoll, Patrick Arthur; Suarez, Pablo

2013-01-01

and mitigation strategies and what kinds of negative and positive synergies can be identified between them. This paper explores how social games can help people to understand the trade-offs between mitigation and adaptation measures in an urban environment and examines the possibilities of using social gaming...... as a research method. Data was collected from Denmark, Finland and the US through organized gaming sessions. The conclusion of the study is that social games are a promising method to understand complex planning problems....

Communicating science in social settings

Science.gov (United States)

Scheufele, Dietram A.

2013-01-01

This essay examines the societal dynamics surrounding modern science. It first discusses a number of challenges facing any effort to communicate science in social environments: lay publics with varying levels of preparedness for fully understanding new scientific breakthroughs; the deterioration of traditional media infrastructures; and an increasingly complex set of emerging technologies that are surrounded by a host of ethical, legal, and social considerations. Based on this overview, I discuss four areas in which empirical social science helps clarify intuitive but sometimes faulty assumptions about the social-level mechanisms of science communication and outline an agenda for bench and social scientists—driven by current social-scientific research in the field of science communication—to guide more effective communication efforts at the societal level in the future. PMID:23940341

Towards a differentiated understanding of active travel behaviour: using social theory to explore everyday commuting.

Science.gov (United States)

Guell, C; Panter, J; Jones, N R; Ogilvie, D

2012-07-01

Fostering physical activity is an established public health priority for the primary prevention of a variety of chronic diseases. One promising population approach is to seek to embed physical activity in everyday lives by promoting walking and cycling to and from work ('active commuting') as an alternative to driving. Predominantly quantitative epidemiological studies have investigated travel behaviours, their determinants and how they may be changed towards more active choices. This study aimed to depart from narrow behavioural approaches to travel and investigate the social context of commuting with qualitative social research methods. Within a social practice theory framework, we explored how people describe their commuting experiences and make commuting decisions, and how travel behaviour is embedded in and shaped by commuters' complex social worlds. Forty-nine semi-structured interviews and eighteen photo-elicitation interviews with accompanying field notes were conducted with a subset of the Commuting and Health in Cambridge study cohort, based in the UK. The findings are discussed in terms of three particularly pertinent facets of the commuting experience. Firstly, choice and decisions are shaped by the constantly changing and fluid nature of commuters' social worlds. Secondly, participants express ambiguities in relation to their reasoning, ambitions and identities as commuters. Finally, commuting needs to be understood as an embodied and emotional practice. With this in mind, we suggest that everyday decision-making in commuting requires the tactical negotiation of these complexities. This study can help to explain the limitations of more quantitative and static models and frameworks in predicting travel behaviour and identify future research directions. Copyright © 2012 Elsevier Ltd. All rights reserved.

A Social Network Approach Reveals Associations between Mouse Social Dominance and Brain Gene Expression

Science.gov (United States)

So, Nina; Franks, Becca; Lim, Sean; Curley, James P.

2015-01-01

Modelling complex social behavior in the laboratory is challenging and requires analyses of dyadic interactions occurring over time in a physically and socially complex environment. In the current study, we approached the analyses of complex social interactions in group-housed male CD1 mice living in a large vivarium. Intensive observations of social interactions during a 3-week period indicated that male mice form a highly linear and steep dominance hierarchy that is maintained by fighting and chasing behaviors. Individual animals were classified as dominant, sub-dominant or subordinate according to their David’s Scores and I& SI ranking. Using a novel dynamic temporal Glicko rating method, we ascertained that the dominance hierarchy was stable across time. Using social network analyses, we characterized the behavior of individuals within 66 unique relationships in the social group. We identified two individual network metrics, Kleinberg’s Hub Centrality and Bonacich’s Power Centrality, as accurate predictors of individual dominance and power. Comparing across behaviors, we establish that agonistic, grooming and sniffing social networks possess their own distinctive characteristics in terms of density, average path length, reciprocity out-degree centralization and out-closeness centralization. Though grooming ties between individuals were largely independent of other social networks, sniffing relationships were highly predictive of the directionality of agonistic relationships. Individual variation in dominance status was associated with brain gene expression, with more dominant individuals having higher levels of corticotropin releasing factor mRNA in the medial and central nuclei of the amygdala and the medial preoptic area of the hypothalamus, as well as higher levels of hippocampal glucocorticoid receptor and brain-derived neurotrophic factor mRNA. This study demonstrates the potential and significance of combining complex social housing and intensive

A Social Network Approach Reveals Associations between Mouse Social Dominance and Brain Gene Expression.

Directory of Open Access Journals (Sweden)

Nina So

Full Text Available Modelling complex social behavior in the laboratory is challenging and requires analyses of dyadic interactions occurring over time in a physically and socially complex environment. In the current study, we approached the analyses of complex social interactions in group-housed male CD1 mice living in a large vivarium. Intensive observations of social interactions during a 3-week period indicated that male mice form a highly linear and steep dominance hierarchy that is maintained by fighting and chasing behaviors. Individual animals were classified as dominant, sub-dominant or subordinate according to their David's Scores and I& SI ranking. Using a novel dynamic temporal Glicko rating method, we ascertained that the dominance hierarchy was stable across time. Using social network analyses, we characterized the behavior of individuals within 66 unique relationships in the social group. We identified two individual network metrics, Kleinberg's Hub Centrality and Bonacich's Power Centrality, as accurate predictors of individual dominance and power. Comparing across behaviors, we establish that agonistic, grooming and sniffing social networks possess their own distinctive characteristics in terms of density, average path length, reciprocity out-degree centralization and out-closeness centralization. Though grooming ties between individuals were largely independent of other social networks, sniffing relationships were highly predictive of the directionality of agonistic relationships. Individual variation in dominance status was associated with brain gene expression, with more dominant individuals having higher levels of corticotropin releasing factor mRNA in the medial and central nuclei of the amygdala and the medial preoptic area of the hypothalamus, as well as higher levels of hippocampal glucocorticoid receptor and brain-derived neurotrophic factor mRNA. This study demonstrates the potential and significance of combining complex social housing

Students’ Understanding of the Concept of Democracy and Implications for Teacher Education in Social Studies

Directory of Open Access Journals (Sweden)

Nora Elise Hesby Mathé

2016-04-01

be actively encouraged and maintained also in successful democracies. Little is known, however, about how students understand and explain democracy as a subject-specific concept. Such knowledge may be valuable for social studies teachers and teacher educators to fulfil the purpose of the social studies curriculum. The present article investigates 16-year-old students’ understanding of the concept of democracy. In social studies, the concept of democracy is essential not only for disciplinary understanding and discourse, but also for students’ out-of-school democratic participation. To investigate students’ understanding of this concept, semi-structured group interviews were conducted with a total of 23 students at three different Norwegian upper secondary schools. A central finding is that students primarily expressed a liberal understanding of democracy focusing on voting in elections as the main political activity. Students also demonstrated more or less limited or elaborate understanding. In addition to presenting and discussing students’ understandings of the concept of democracy, this article considers implications for teacher education in social studies. One implication is that teacher educators need to engage actively in discussing and defining core concepts with their students. This is related to supporting student teachers’ professional development and in turn developing adolescents’ opportunities for democratic participation. Such a dual focus can provide a knowledge base to help student teachers in their professional development in their first years as practicing teachers.Keywords: democracy, concepts, understanding, teacher education, social studies, democratic theory

Understanding diversity: the importance of social acceptance.

Science.gov (United States)

Chen, Jacqueline M; Hamilton, David L

2015-04-01

Two studies investigated how people define and perceive diversity in the historically majority-group dominated contexts of business and academia. We hypothesized that individuals construe diversity as both the numeric representation of racial minorities and the social acceptance of racial minorities within a group. In Study 1, undergraduates' (especially minorities') perceptions of campus diversity were predicted by perceived social acceptance on a college campus, above and beyond perceived minority representation. Study 2 showed that increases in a company's representation and social acceptance independently led to increases in perceived diversity of the company among Whites. Among non-Whites, representation and social acceptance only increased perceived diversity of the company when both qualities were high. Together these findings demonstrate the importance of both representation and social acceptance to the achievement of diversity in groups and that perceiver race influences the relative importance of these two components of diversity. © 2015 by the Society for Personality and Social Psychology, Inc.

Embracing uncertainty, managing complexity: applying complexity thinking principles to transformation efforts in healthcare systems.

Science.gov (United States)

Khan, Sobia; Vandermorris, Ashley; Shepherd, John; Begun, James W; Lanham, Holly Jordan; Uhl-Bien, Mary; Berta, Whitney

2018-03-21

Complexity thinking is increasingly being embraced in healthcare, which is often described as a complex adaptive system (CAS). Applying CAS to healthcare as an explanatory model for understanding the nature of the system, and to stimulate changes and transformations within the system, is valuable. A seminar series on systems and complexity thinking hosted at the University of Toronto in 2016 offered a number of insights on applications of CAS perspectives to healthcare that we explore here. We synthesized topics from this series into a set of six insights on how complexity thinking fosters a deeper understanding of accepted ideas in healthcare, applications of CAS to actors within the system, and paradoxes in applications of complexity thinking that may require further debate: 1) a complexity lens helps us better understand the nebulous term "context"; 2) concepts of CAS may be applied differently when actors are cognizant of the system in which they operate; 3) actor responses to uncertainty within a CAS is a mechanism for emergent and intentional adaptation; 4) acknowledging complexity supports patient-centred intersectional approaches to patient care; 5) complexity perspectives can support ways that leaders manage change (and transformation) in healthcare; and 6) complexity demands different ways of implementing ideas and assessing the system. To enhance our exploration of key insights, we augmented the knowledge gleaned from the series with key articles on complexity in the literature. Ultimately, complexity thinking acknowledges the "messiness" that we seek to control in healthcare and encourages us to embrace it. This means seeing challenges as opportunities for adaptation, stimulating innovative solutions to ensure positive adaptation, leveraging the social system to enable ideas to emerge and spread across the system, and even more important, acknowledging that these adaptive actions are part of system behaviour just as much as periods of stability are. By

Complexities of Parental Understanding of Phenylketonuria

Science.gov (United States)

Sibinga, Maarten S.; Friedman, C. Jack

1971-01-01

Parental understanding of PKU, investigated through a questionnaire, was evaluated as to completeness and with respect to distortion. Education of parents was found to be unrelated to their understanding or tendency to distort. Effectiveness of the pediatrician's communication with parents is discussed. (Author/KW)

Between individual agency and structure in HIV prevention: understanding the middle ground of social practice.

Science.gov (United States)

Kippax, Susan; Stephenson, Niamh; Parker, Richard G; Aggleton, Peter

2013-08-01

When HIV prevention targets risk and vulnerability, it focuses on individual agency and social structures, ignoring the centrality of community in effective HIV prevention. The neoliberal concept of risk assumes individuals are rational agents who act on information provided to them regarding HIV transmission. This individualistic framework does not recognize the communities in which people act and connect. The concept of vulnerability on the other hand acknowledges the social world, but mainly as social barriers that make it difficult for individuals to act. Neither approach to HIV prevention offers understanding of community practices or collective agency, both central to success in HIV prevention to date. Drawing on examples of the social transformation achieved by community action in Australia and Brazil, this article focuses on this middle ground and its role in effective HIV prevention.

Social norm complexity and past reputations in the evolution of cooperation.

Science.gov (United States)

Santos, Fernando P; Santos, Francisco C; Pacheco, Jorge M

2018-03-07

Indirect reciprocity is the most elaborate and cognitively demanding of all known cooperation mechanisms, and is the most specifically human because it involves reputation and status. By helping someone, individuals may increase their reputation, which may change the predisposition of others to help them in future. The revision of an individual's reputation depends on the social norms that establish what characterizes a good or bad action and thus provide a basis for morality. Norms based on indirect reciprocity are often sufficiently complex that an individual's ability to follow subjective rules becomes important, even in models that disregard the past reputations of individuals, and reduce reputations to either 'good' or 'bad' and actions to binary decisions. Here we include past reputations in such a model and identify the key pattern in the associated norms that promotes cooperation. Of the norms that comply with this pattern, the one that leads to maximal cooperation (greater than 90 per cent) with minimum complexity does not discriminate on the basis of past reputation; the relative performance of this norm is particularly evident when we consider a 'complexity cost' in the decision process. This combination of high cooperation and low complexity suggests that simple moral principles can elicit cooperation even in complex environments.

Increasing Understanding and Social Acceptance of Individuals with Disabilities through Exploration of Comics Literature

Science.gov (United States)

McGrail, Ewa; Rieger, Alicja

2016-01-01

Research supports the inclusion of children with disabilities in general education classrooms as a way to boost academic and social development, not only for children with disabilities, but also for typically developing children. A wide variety of perspectives and abilities in the classroom builds empathy, understanding, and creativity--all…

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Diffusion with social reinforcement: The role of individual preferences

Science.gov (United States)

Tur, Elena M.; Zeppini, Paolo; Frenken, Koen

2018-02-01

The debate on diffusion in social networks has traditionally focused on the structure of the network to understand the efficiency of a network in terms of diffusion. Recently, the role of social reinforcement has been added to the debate, as it has been proposed that simple contagions diffuse better in random networks and complex contagions diffuse better in regular networks. In this paper, we show that individual preferences cannot be overlooked: complex contagions diffuse better in regular networks only if the large majority of the population is biased against adoption.

Surmountable Chasms: Networks and Social Innovation for Resilient Systems

Directory of Open Access Journals (Sweden)

Michele-Lee Moore

2011-03-01

Full Text Available Complex challenges demand complex solutions. By their very nature, these problems are difficult to define and are often the result of rigid social structures that effectively act as "traps". However, resilience theory and the adaptive cycle can serve as a useful framework for understanding how humans may move beyond these traps and towards the social innovation that is required to address many complex problems. This paper explores the critical question of whether networks help facilitate innovations to bridge the seemingly insurmountable chasms of complex problems to create change across scales, thereby increasing resilience. The argument is made that research has not yet adequately articulated the strategic agency that must be present within the network in order for cross scale interactions to occur. By examining institutional entrepreneurship through case studies and examples, this paper proposes that agency within networks requires specific skills from entrepreneurs, including ones that enable pattern generation, relationship building and brokering, knowledge and resource brokering, and network recharging. Ultimately, this begins to build a more complete understanding of how networks may improve human capacity to respond to complex problems and heighten overall resilience.

Valued social roles and measuring mental health recovery: examining the structure of the tapestry.

Science.gov (United States)

Hunt, Marcia G; Stein, Catherine H

2012-12-01

The complexity of the concept of mental health recovery often makes it difficult to systematically examine recovery processes and outcomes. The concept of social role is inherent within many acknowledged dimensions of recovery such as community integration, family relationships, and peer support and can deepen our understanding of these dimensions when social roles are operationalized in ways that directly relate to recovery research and practice. This paper reviews seminal social role theories and operationalizes aspects of social roles: role investment, role perception, role loss, and role gain. The paper provides a critical analysis of the ability of social role concepts to inform mental health recovery research and practice. PubMed and PsychInfo databases were used for the literature review. A more thorough examination of social role aspects allows for a richer picture of recovery domains that are structured by the concept social roles. Increasing understanding of consumers' investment and changes in particular roles, perceptions of consumers' role performance relative to peers, and consumers' hopes for the future with regards to the different roles that they occupy could generate tangible, pragmatic approaches in addressing complex recovery domains. This deeper understanding allows a more nuanced approach to recovery-related movements in mental health system transformation.

The Intersection of Culture and Behavior in Social Studies Classrooms

Science.gov (United States)

Schlein, Candace; Taft, Raol J.; Ramsay, Crystal M.

2016-01-01

Social studies is a school subject that aims to enmesh local and global concerns and ways of understanding the world. It is a complex task to position local concerns and perspectives within an intercultural vantage. In turn, this objective for teaching and learning also presumes that students interact with social studies material from fixed and…

Emotional valence and context of social influences on drug abuse-related behavior in animal models of social stress and prosocial interaction.

Science.gov (United States)

Neisewander, J L; Peartree, N A; Pentkowski, N S

2012-11-01

Social factors are important determinants of drug dependence and relapse. We reviewed pre-clinical literature examining the role of social experiences from early life through the development of drug dependence and relapse, emphasizing two aspects of these experiences: (1) whether the social interaction is appetitive or aversive and (2) whether the social interaction occurs within or outside of the drug-taking context. The models reviewed include neonatal care, isolation, social defeat, chronic subordination, and prosocial interactions. We review results from these models in regard to effects on self-administration and conditioned place preference established with alcohol, psychostimulants, and opiates. We suggest that in general, when the interactions occur outside of the drug-taking context, prosocial interactions are protective against drug abuse-related behaviors, whereas social stressors facilitate these behaviors. By contrast, positive or negative social interactions occurring within the drug-taking context may interact with other risk factors to enhance or inhibit these behaviors. Despite differences in the nature and complexity of human social behavior compared to other species, the evolving animal literature provides useful models for understanding social influences on drug abuse-related behavior that will allow for research on the behavioral and biological mechanisms involved. The models have contributed to understanding social influences on initiation and maintenance of drug use, but more research is needed to understand social influences on drug relapse.

UMAMI: Understanding Mindsets Across Markets, Internationally

DEFF Research Database (Denmark)

Kano Glückstad, Fumiko

In connection to this challenge session “5C: Comprehending Consumers: Computing Complexity of Cultures”, I introduce a new initiative a so called “UMAMI: Understanding Mindsets Across Markets, Internationally”, a four-year project funded by the Danish government. The project combines the existing...... secondary data such as World Value Survey and European Social Survey, primary data collected via quantitative surveys measuring constructs used in the marketing and tourism sciences, and data available from the Danish tourism industries. The project further employs machine learning technologies...

Caring as emancipatory nursing praxis: the theory of relational caring complexity.

Science.gov (United States)

Ray, Marilyn A; Turkel, Marian C

2014-01-01

In the culture of health care, nurses are challenged to understand their values and beliefs as humanistic within complex technical and economically driven bureaucratic systems. This article outlines the language of social justice and human rights and the advance of a Theory of Relational Caring Complexity, which offers insights into caring as emancipatory nursing praxis. Recommendations provide knowledge of the struggle to balance economics, technology, and caring. As nurses practice from a value-driven, philosophical, and ethical social justice framework, they will find "their voice" and realize the full potential that the power of caring has on patient and organizational outcomes.

Virality Prediction and Community Structure in Social Networks

Science.gov (United States)

Weng, Lilian; Menczer, Filippo; Ahn, Yong-Yeol

2013-08-01

How does network structure affect diffusion? Recent studies suggest that the answer depends on the type of contagion. Complex contagions, unlike infectious diseases (simple contagions), are affected by social reinforcement and homophily. Hence, the spread within highly clustered communities is enhanced, while diffusion across communities is hampered. A common hypothesis is that memes and behaviors are complex contagions. We show that, while most memes indeed spread like complex contagions, a few viral memes spread across many communities, like diseases. We demonstrate that the future popularity of a meme can be predicted by quantifying its early spreading pattern in terms of community concentration. The more communities a meme permeates, the more viral it is. We present a practical method to translate data about community structure into predictive knowledge about what information will spread widely. This connection contributes to our understanding in computational social science, social media analytics, and marketing applications.

Understanding coral reefs as complex systems: degradation and prospects for recovery

Directory of Open Access Journals (Sweden)

Raymond T. Dizon

2006-06-01

Full Text Available The present century is witness to unprecedented levels of coral reef degradation worldwide. Current understanding based on traditional ideas is unlikely to capture adequately the dynamics of phenomena accompanying this trend. In this regard, the ideas of complexity are reviewed. Some applications to coral reefs as complex systems have already been discussed in the literature although further progress is warranted as the search for new and more effective management tools continues, and the direction towards more holistic, integrative and large scale approaches gains wider acceptance. We distinguish between the concepts of robustness and resilience in the face of disturbance, highlight the various mechanisms that foster these stability properties and provide some coral reef examples. We identify some of the driving forces behind succession that are critical for community assembly and possible reef recovery. Finally, we consider how self-organization arises out of apparently random and chaotic processes and interactions to exhibit certain regularities and patterns especially when moving up on the scale of space and/or time.

Exploring biological and social networks to better understand and treat diabetes mellitus. Comment on "Network science of biological systems at different scales: A review" by Gosak et al.

Science.gov (United States)

Belgardt, Bengt-Frederik; Jarasch, Alexander; Lammert, Eckhard

2018-03-01

Improvements and breakthroughs in computational sciences in the last 20 years have paralleled the rapid gain of influence of social networks on our daily life. As timely reviewed by Perc and colleagues [1], understanding and treating complex human diseases, such as type 2 diabetes (T2D), from which already more than 5% of the global population suffer, will necessitate analyzing and understanding the multi-layered and interconnected networks that usually keep physiological functions intact, but are disturbed in disease states. These networks range from intra- and intercellular networks influencing cell behavior (e.g., secretion of insulin in response to food intake and anabolic response to insulin) to social networks influencing human behavior (e.g., food intake and physical activity). This commentary first expands on the background of pancreatic beta cell networks in human health and T2D, briefly introduces exosomes as novel signals exchanged between distant cellular networks, and finally discusses potential pitfalls and chances in network analyses with regards to experimental data acquisition and processing.

Large system change challenges: addressing complex critical issues in linked physical and social domains

Science.gov (United States)

Waddell, Steve; Cornell, Sarah; Hsueh, Joe; Ozer, Ceren; McLachlan, Milla; Birney, Anna

2015-04-01

Most action to address contemporary complex challenges, including the urgent issues of global sustainability, occurs piecemeal and without meaningful guidance from leading complex change knowledge and methods. The potential benefit of using such knowledge is greater efficacy of effort and investment. However, this knowledge and its associated tools and methods are under-utilized because understanding about them is low, fragmented between diverse knowledge traditions, and often requires shifts in mindsets and skills from expert-led to participant-based action. We have been engaged in diverse action-oriented research efforts in Large System Change for sustainability. For us, "large" systems can be characterized as large-scale systems - up to global - with many components, of many kinds (physical, biological, institutional, cultural/conceptual), operating at multiple levels, driven by multiple forces, and presenting major challenges for people involved. We see change of such systems as complex challenges, in contrast with simple or complicated problems, or chaotic situations. In other words, issues and sub-systems have unclear boundaries, interact with each other, and are often contradictory; dynamics are non-linear; issues are not "controllable", and "solutions" are "emergent" and often paradoxical. Since choices are opportunity-, power- and value-driven, these social, institutional and cultural factors need to be made explicit in any actionable theory of change. Our emerging network is sharing and building a knowledge base of experience, heuristics, and theories of change from multiple disciplines and practice domains. We will present our views on focal issues for the development of the field of large system change, which include processes of goal-setting and alignment; leverage of systemic transitions and transformation; and the role of choice in influencing critical change processes, when only some sub-systems or levels of the system behave in purposeful ways

Structure, Agency, Complexity Theory and Interdisciplinary Research in Education Studies

Science.gov (United States)

Smith, John A.

2013-01-01

This article argues that Education Studies needs to develop its existing interdisciplinarity understanding of structures and agencies by giving greater attention to the modern process theories of self-organisation in the physical, biological, psychological and social sciences, sometimes given the umbrella term "complexity theory". The…

Emergent nested systems a theory of understanding and influencing complex systems as well as case studies in urban systems

CERN Document Server

Walloth, Christian

2016-01-01

This book presents a theory as well as methods to understand and to purposively influence complex systems. It suggests a theory of complex systems as nested systems, i. e. systems that enclose other systems and that are simultaneously enclosed by even other systems. According to the theory presented, each enclosing system emerges through time from the generative activities of the systems they enclose. Systems are nested and often emerge unplanned, and every system of high dynamics is enclosed by a system of slower dynamics. An understanding of systems with faster dynamics, which are always guided by systems of slower dynamics, opens up not only new ways to understanding systems, but also to effectively influence them. The aim and subject of this book is to lay out these thoughts and explain their relevance to the purposive development of complex systems, which are exemplified in case studies from an urban system. The interested reader, who is not required to be familiar with system-theoretical concepts or wit...

Understanding negative impacts of perceived cognitive load on job learning effectiveness: a social capital solution.

Science.gov (United States)

Lin, Chieh-Peng

2010-12-01

This study proposes a model explaining how social capital helps ease excessively required mental effort. Although organizational researchers have studied both social capital and cognitive load, no prior research has critically examined the role of social capital in improving individuals' mental load and effort and consequently enhancing job learning effectiveness. This study surveys participants made up of professionals in Taiwan's information technology industry. It measures the constructs with the use of 5-point Likert-type scale items modified from existing literature. The survey data were analyzed with the use of structural equation modeling. Job learning effectiveness is negatively influenced by role ambiguity and role conflict. Time pressure has a positive influence on role ambiguity and role conflict Although the relationship between task complexity and role ambiguity is insignificant, task complexity has a positive influence on role conflict. Because the relationship between network ties and role conflict is insignificant, trust has a negative influence on role conflict. Last, shared vision has a negative influence on role ambiguity. This study provides an example of how social capital can be applied as a useful remedy to ease the negative impact of perceived cognitive load on job learning effectiveness. The negative relationship between shared vision and role ambiguity suggests that a shared vision helps in disseminating organizationally common goals and directions among employees to alleviate individuals' mental efforts in dealing with the ambiguity of their job roles. A firm's management team should take actions to decrease role conflict by strengthening trust among employees.

Flower-Visiting Social Wasps and Plants Interaction: Network Pattern and Environmental Complexity

Directory of Open Access Journals (Sweden)

Mateus Aparecido Clemente

2012-01-01

Full Text Available Network analysis as a tool for ecological interactions studies has been widely used since last decade. However, there are few studies on the factors that shape network patterns in communities. In this sense, we compared the topological properties of the interaction network between flower-visiting social wasps and plants in two distinct phytophysiognomies in a Brazilian savanna (Riparian Forest and Rocky Grassland. Results showed that the landscapes differed in species richness and composition, and also the interaction networks between wasps and plants had different patterns. The network was more complex in the Riparian Forest, with a larger number of species and individuals and a greater amount of connections between them. The network specialization degree was more generalist in the Riparian Forest than in the Rocky Grassland. This result was corroborated by means of the nestedness index. In both networks was found asymmetry, with a large number of wasps per plant species. In general aspects, most wasps had low niche amplitude, visiting from one to three plant species. Our results suggest that differences in structural complexity of the environment directly influence the structure of the interaction network between flower-visiting social wasps and plants.

Few Things About Idioms: Understanding Idioms and Its Users in the Twitter Online Social Network

Science.gov (United States)

2015-05-22

Personality and Social Psychology Bulletin 20(5), 484–493 (1994) 11. Chakraborty, A., Ghosh, S., Ganguly, N.: Detecting overlapping communities in folksonomies ...in folksonomies . In: Dynamics on and of Complex Networks, vol. 2. Springer (2013) 20. Wu, S., Hofman, J.M., Mason, W.A., Watts, D.J.: Who says what

An imaging genetics approach to understanding social influence

Directory of Open Access Journals (Sweden)

Emily eFalk

2012-06-01

Full Text Available Normative social influences shape nearly every aspect of our lives, yet the biological processes mediating the impact of these social influences on behavior remain incompletely understood. In this Hypothesis, we outline a theoretical framework and an integrative research approach to the study of social influences on the brain and genetic moderators of such effects. First, we review neuroimaging evidence linking social influence and conformity to the brain’s reward system. We next review neuroimaging evidence linking social punishment (exclusion to brain systems involved in the experience of pain, as well as evidence linking exclusion to conformity. We suggest that genetic variants that increase sensitivity to social cues may predispose individuals to be more sensitive to either social rewards or punishments (or potentially both, which in turn increases conformity and susceptibility to normative social influences more broadly. To this end, we review evidence for genetic moderators of neurochemical responses in the brain, and suggest ways in which genes and pharmacology may modulate sensitivity to social influences. We conclude by proposing an integrative imaging genetics approach to the study of brain mediators and genetic modulators of a variety of social influences on human attitudes, beliefs, and actions.

An imaging genetics approach to understanding social influence.

Science.gov (United States)

Falk, Emily B; Way, Baldwin M; Jasinska, Agnes J

2012-01-01

Normative social influences shape nearly every aspect of our lives, yet the biological processes mediating the impact of these social influences on behavior remain incompletely understood. In this Hypothesis, we outline a theoretical framework and an integrative research approach to the study of social influences on the brain and genetic moderators of such effects. First, we review neuroimaging evidence linking social influence and conformity to the brain's reward system. We next review neuroimaging evidence linking social punishment (exclusion) to brain systems involved in the experience of pain, as well as evidence linking exclusion to conformity. We suggest that genetic variants that increase sensitivity to social cues may predispose individuals to be more sensitive to either social rewards or punishments (or potentially both), which in turn increases conformity and susceptibility to normative social influences more broadly. To this end, we review evidence for genetic moderators of neurochemical responses in the brain, and suggest ways in which genes and pharmacology may modulate sensitivity to social influences. We conclude by proposing an integrative imaging genetics approach to the study of brain mediators and genetic modulators of a variety of social influences on human attitudes, beliefs, and actions.

Drought, Agriculture, and Labor: Understanding Drought Impacts and Vulnerability in California

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Greene, C.

2015-12-01

Hazardous drought impacts are a product of not only the physical intensity of drought, but also the economic, social, and environmental characteristics of the region exposed to drought. Drought risk management requires understanding the complex links between the physical and human dimensions of drought. Yet, there is a research gap in identifying and explaining the socio-economic complexities of drought in the context of the first world, especially for economic and socially marginal groups who rely on seasonal and temporary jobs. This research uses the current drought in California as a case study to identify the socioeconomic impacts of drought on farmworker communities in California's San Joaquin Valley, with a specific focus on the relationship between drought and agricultural labor. Through both a narrative analysis of drought coverage in newspaper media, drought policy documents, and interviews with farmworkers, farmers, community based organizations, and government officials in the San Joaquin Valley, this research aims to highlight the different understandings and experiences of the human impacts of drought and drought vulnerability in order to better inform drought risk planning and policy.

Characterising the Development of the Understanding of Human Body Systems in High-School Biology Students--A Longitudinal Study

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Snapir, Zohar; Eberbach, Catherine; Ben-Zvi-Assaraf, Orit; Hmelo-Silver, Cindy; Tripto, Jaklin

2017-01-01

Science education today has become increasingly focused on research into complex natural, social and technological systems. In this study, we examined the development of high-school biology students' systems understanding of the human body, in a three-year longitudinal study. The development of the students' system understanding was evaluated…

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Understanding Project Based Production through Socio-technical Modularity

DEFF Research Database (Denmark)

Thuesen, Christian Langhoff

This paper develops an approach for understanding Project Based Production. This form of production is characterized by unique deliverables, high complexity, high value, high risk, profound uncertainty and many stakeholders and is increasingly important the postmodern society. Common to the pract......This paper develops an approach for understanding Project Based Production. This form of production is characterized by unique deliverables, high complexity, high value, high risk, profound uncertainty and many stakeholders and is increasingly important the postmodern society. Common...... to the practices of PBP and other production practices is the goal of balancing the dilemma between creativity and productivity. In response to industrialized production, the concept of modularity gained popularity for addressing this dilemma by exploring product, process and organization structures. However...... with the starting point in system theory and a strong bias towards industrial production, the predominant understanding of modularity faces difficulty in explaining practices of Project Based Production in both social – technical and dynamic – stable aspects. Illustrated by a case the paper addresses this gap...

Neural Circuit Mechanisms of Social Behavior.

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Chen, Patrick; Hong, Weizhe

2018-04-04

We live in a world that is largely socially constructed, and we are constantly involved in and fundamentally influenced by a broad array of complex social interactions. Social behaviors among conspecifics, either conflictive or cooperative, are exhibited by all sexually reproducing animal species and are essential for the health, survival, and reproduction of animals. Conversely, impairment in social function is a prominent feature of several neuropsychiatric disorders, such as autism spectrum disorders and schizophrenia. Despite the importance of social behaviors, many fundamental questions remain unanswered. How is social sensory information processed and integrated in the nervous system? How are different social behavioral decisions selected and modulated in brain circuits? Here we discuss conceptual issues and recent advances in our understanding of brain regions and neural circuit mechanisms underlying the regulation of social behaviors. Copyright © 2018 Elsevier Inc. All rights reserved.

The Complex and Unequal Impact of High Stakes Accountability on Untested Social Studies

Science.gov (United States)

Pace, Judith L.

2011-01-01

This article contributes to research on the impact of high stakes accountability on social studies teaching where it is "not" tested by the state, and addresses the question of what is happening in middle and higher performing versus struggling schools (Wills, 2007). The author presents complex findings from a qualitative study in five…

How the Center for Public Partnerships and Research Navigates Complex Social Problems to Make a Collective Difference.

Science.gov (United States)

Counts, Jacqueline; Gillam, Rebecca; Garstka, Teri A; Urbach, Ember

2018-01-01

The challenge of maximizing the well-being of children, youth, and families is recognizing that change occurs within complex social systems. Organizations dedicated to improving practice, advancing knowledge, and informing policy for the betterment of all must have the right approach, structure, and personnel to work in these complex systems. The University of Kansas Center for Public Partnerships and Research cultivates a portfolio of innovation, research, and data science approaches positioned to help move social service fields locally, regionally, and nationally. Mission, leadership, and smart growth guide our work and drive our will to affect positive change in the world.

The complex role of social care services in supporting the development of sustainable identities: Insights from the experiences of British South Asian women with intellectual disabilities.

Science.gov (United States)

Malik, Kulsoom Jawaid; Unwin, Gemma; Larkin, Michael; Kroese, Biza Stenfert; Rose, John

2017-04-01

Carers and service users with intellectual disabilities from minority ethnic groups have typically been reported to be dissatisfied with the social care services they receive. However, service users themselves have rarely been asked directly about their experiences of social care. This paper aims to understand the meaning of social care services in the lives of South Asian women with intellectual disabilities, in the United Kingdom. 10 British South Asian women with mild-moderate intellectual disabilities were interviewed about their experiences of social care services. The transcripts were analysed using interpretative phenomenological analysis. The analysis produced three super-ordinate themes, which focus on how services facilitate the development of complex identities, how the participants explored their sense of being 'stuck' between cultures as they negotiated their journeys towards independence, and the triple disadvantage which they experienced as a consequence of the intersection between gender, ethnicity and disability. The participants were broadly satisfied with the role which services played in these domains, and appeared to find them valuable and helpful. The results suggest that the participants successfully managed complex identity issues, such as acculturation processes, with the support of services. It may be helpful to give more explicit consideration to the positive role which good services can play in supporting people with intellectual disabilities in the development of their identities and goals, alongside the more traditionally 'concrete' objectives of such social care. Engagement with families in 'positive risk-taking' is likely to be an important component of success. Copyright © 2017 Elsevier Ltd. All rights reserved.

Maternal Knowing and Social Networks: Understanding First-Time Mothers' Search for Information and Support Through Online and Offline Social Networks.

Science.gov (United States)

Price, Sheri Lynn; Aston, Megan; Monaghan, Joelle; Sim, Meaghan; Tomblin Murphy, Gail; Etowa, Josephine; Pickles, Michelle; Hunter, Andrea; Little, Victoria

2017-12-01

The postpartum period is an exciting yet stressful time for first-time mothers, and although the experience may vary, all mothers need support during this crucial period. In Canada, there has been a shift for universal postpartum services to be offered predominantly online. However, due to a paucity of literature, it is difficult to determine the degree to which mothers' needs are being effectively addressed. The aim of this study was to examine and understand how first-time mothers accessed support and information (online and offline) during the first 6 months of their postpartum period. Using feminist poststructuralism methodology, data were collected from focus groups and e-interviews, and analyzed using discourse analysis. Findings indicate that peer support is greatly valued, and mothers often use social media to make in-person social connections. Findings highlight how accessing support and information is socially and institutionally constructed and provide direction for health professionals to provide accessible postpartum care.

Understanding and taking relational context into account is critical for social neuroscience

Directory of Open Access Journals (Sweden)

Elizabeth eClark-Polner

2014-03-01

Full Text Available Scientists have increasingly turned to the brain and to neuroscience more generally to further an understanding of social and emotional judgments and behavior. Yet, many neuroscientists (certainly not all do not consider the role of relational context. Moreover, most have not examined the impact of relational context in a manner that takes advantage of conceptual and empirical advances in relationship science. Here we emphasize that: (1 all social behavior takes place, by definition, within the context of a relationship (even if that relationship is a new one with a stranger, and (2 relational context shapes not only social thoughts, feelings and behaviors, but also some seemingly non-social thoughts, feelings and behaviors in profound ways. We define relational context and suggest that accounting for it in the design and interpretation of neuroscience research is essential to the development of a coherent, generalizable neuroscience of social behavior. We make our case in two ways: a We describe some existing neuroscience research in three substantive areas (perceiving and reacting to others’ emotions, providing help and receiving help that already has documented the powerful impact of relational context. b We describe some other neuroscience research from these same areas that has not taken relational context into account. Then, using findings from social and personality psychology, we make a case that different results almost certainly would have been found had the research been conducted in a different relational context. We neither attempt to review all evidence that relational context shapes neuroscience findings nor to put forward a theoretical analysis of all the ways relational context ought to shape neuroscience findings. Our goal is simply to urge greater and more systematic consideration of relational context in neuroscientific research.

Contemporary understanding of riots: Classical crowd psychology, ideology and the social identity approach.

Science.gov (United States)

Stott, Clifford; Drury, John

2016-04-01

This article explores the origins and ideology of classical crowd psychology, a body of theory reflected in contemporary popularised understandings such as of the 2011 English 'riots'. This article argues that during the nineteenth century, the crowd came to symbolise a fear of 'mass society' and that 'classical' crowd psychology was a product of these fears. Classical crowd psychology pathologised, reified and decontextualised the crowd, offering the ruling elites a perceived opportunity to control it. We contend that classical theory misrepresents crowd psychology and survives in contemporary understanding because it is ideological. We conclude by discussing how classical theory has been supplanted in academic contexts by an identity-based crowd psychology that restores the meaning to crowd action, replaces it in its social context and in so doing transforms theoretical understanding of 'riots' and the nature of the self. © The Author(s) 2016.

Project Me: Understanding Social Identities through Social Media

Science.gov (United States)

Suwinyattichaiporn, Tara

2016-01-01

Courses: Intercultural Communication, Communication and Identity, Interpersonal Communication. Objectives: After completing this semester-long activity, students should be able to (1) discuss and apply the concepts of social identities; (2) analyze the influence of self-identities on online communication practices of self to others and others to…

Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites.

Science.gov (United States)

Deng, Zhaohua; Liu, Shan

2017-09-01

This study integrates the risk perception attitude framework and social support to examine factors influencing consumers' intentions to seek health information in mobile social media websites. We develop a research model consisting of four social support dimensions, perceived health risk, health self-efficacy, and health information-seeking intention. A survey is conducted among patients with non-serious conditions. A two-step approach of structural equation modeling is used to test the research model. Among the four dimensions of social support, tangible support and appraisal support significantly influence perceived risk, whereas emotional support and esteem support significantly influence health self-efficacy. Perceived health risk and health self-efficacy significantly influence the health information-seeking behavior intention of consumers. Specifically, health self-efficacy significantly moderates the relationship between perceived risk and behavior intention. This study highlights the integrated effects of social capital and risk perception attitude framework on health information-seeking intention. It examines relationships among perceived health risk, health self-efficacy, and behavior intention in the mobile social media context. The findings help understand effects of social capital factors on perceived health risk and health self-efficacy. Copyright © 2017 Elsevier B.V. All rights reserved.

The embodied spaces of children with complex care needs: Effects on the social realities and power negotiations of families.

Science.gov (United States)

Woodgate, Roberta L; Zurba, Melanie; Edwards, Marie; Ripat, Jacquie D; Rempel, Gina

2017-07-01

This paper presents research findings that advance knowledge around the power and agency families with children with complex care needs (CCN). Our conceptual framework uses concepts from geography towards situating the experiences and social realities of family carers within the 'embodied space of care'. The data originate from a longitudinal qualitative study of Canadian families with children with CCN. Findings reveal that interactions and decision-making processes relating to health and everyday life were complex and socially interconnected, and emphasize the need for provisions for family-based decision-making and enhanced social inclusion of families and the importance of the renegotiation of power. Copyright © 2017 Elsevier Ltd. All rights reserved.

What can alienation theory contribute to an understanding of social inequalities in health?

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Crinson, Iain; Yuill, Chris

2008-01-01

This article examines both the contribution and the limitations of research that has sought to develop a causal understanding of the psychosocial dimension of inequalities in health. The article seeks to revive interest in Marx's theory of alienation in developing the case for an alternative materialist conceptualization that is able to postulate the pathways from alienation as a psychosocial generative structure to social inequalities in health outcomes within late modern societies.

Can the sociology of social problems help us to understand and manage 'lifestyle drift'?

Science.gov (United States)

Carey, Gemma; Malbon, Eleanor; Crammond, Brad; Pescud, Melanie; Baker, Philip

2017-08-01

Lifestyle drift is increasingly seen as a barrier to broad action on the social determinants of health. The term is currently used in the population health literature to describe how broad policy initiatives for tackling inequalities in health that start off with social determinants (upstream) approach drift downstream to largely individual lifestyle factors, as well as the general trend of investing a the individual level. Lifestyle drift occurs despite the on-going efforts of public health advocates, such as anti-obesity campaigners, to draw attention to the social factors which shape health behavior and outcomes. In this article, we explore whether the sociology of social problems can help understand lifestyle drift in the context of obesity. Specifically, we apply Jamrozik and Nocella's residualist conversion model to the problem of obesity in order to explore whether such an approach can provide greater insight into the processes that underpin lifestyle drift and inform our attempts to mitigate it. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Why should I care? Engaging students in conceptual understanding using global context to develop social attitudes.

Science.gov (United States)

Forder, S. E.; Welstead, C.; Pritchard, M.

2014-12-01

A glance through the Harvard Business Review reveals many suggestions and research pieces reviewing sales and marketing techniques. Most educators will be familiar with the notion that making accurate first impressions and being responsive, whilst maintaining pace is critical to engaging an audience. There are lessons to be learnt from industry that can significantly impact upon our teaching. Eisenkraft, in his address to the NSTA, proposed four essential questions. This presentation explores one of those questions: 'Why should I care?', and discusses why this question is crucial for engaging students by giving a clear purpose for developing their scientific understanding. Additionally, this presentation explores how The ISF Academy has adapted the NGSS, using the 14 Grand Engineering Challenges and the IB MYP, to provide current, authentic global contexts, in order to give credibility to the concepts, understandings and skills being learnt. The provision of global contexts across units and within lessons supports a platform for students to have the freedom to explore their own sense of social responsibility. The Science Department believes that planning lessons with tasks that elaborate on the student's new conceptualisations, has helped to transfer the student's new understanding into social behavior beyond the classroom. Furthermore, extension tasks have been used to transfer conceptual understanding between different global contexts.

Association of theory of mind with social relations and child's social competence

Directory of Open Access Journals (Sweden)

Nuša Skubic

2012-10-01

Full Text Available The article reviews and evaluates the findings from the research in the field of theory of mind; how the theory of mind is connected to social relationships and how a child's social competence reflects his/hers theory of mind. It points to those factors that contribute most to considerable individual differences among children when developing a theory of mind and it stresses out the reciprocity of effects between child's social understanding and social relations with others. Positive factors for developing a theory of mind are first of all child's early quality experiences about mental states which predict a child's performance on the false belief test later on. Social-economic status, parental behavior and talk (for example appropriate use of mental states and appropriate disciplining of a child and presence of sibling of appropriate age (usually older one with whom a child develops a quality relationship are most important family factors for theory of mind development. The role of peers is most important factor outside the family, emphasized by studies. In accordance with these factors a child develops more or less successfully his/hers social understanding which plays an important part in his/hers daily life. Children with well developed theory of mind can use it in a pro-social way, or it can serve proactive or reactive aggression when children use their understanding of others as a way of manipulating and bullying, especially inside their peer group. Poorly developed theory of mind can prove to be a risk factor especially in a bad family situation, while a well developed theory of mind can play a protective role in child's development. The article points out some of the deficiencies of reviewed studies and proposes options for more complex future research of child's theory of mind.

Watersheds in Baltimore, Maryland: understanding and application of integrated ecological and social processes

Science.gov (United States)

Steward T.A. Pickett; Kenneth T. Belt; Michael F. Galvin; Peter M. Groffman; J. Morgan Grove; Donald C. Outen; Richard V. Pouyat; William P. Stack; Mary L. Cadenasso

2007-01-01

The Water and Watersheds program has made significant and lasting contributions to the basic understanding of the complex ecological system of Baltimore, MD. Funded at roughly the same time as the urban Long- Term Ecological Research (LTER) project in Baltimore, the Water and Watersheds grant and the LTER grant together established the Baltimore Ecosystem Study (BES)...

Philosophy, history and sociology of science: interdisciplinary relations and complex social identities.

Science.gov (United States)

Riesch, Hauke

2014-12-01

Sociology and philosophy of science have an uneasy relationship, while the marriage of history and philosophy of science has--on the surface at least--been more successful I will take a sociological look at the history of the relationships between philosophy and history as well as philosophy and sociology of science. Interdisciplinary relations between these disciplines will be analysed through social identity complexity theory in oider to draw out some conclusions on how the disciplines interact and how they might develop. I will use the relationships between the disciplines as a pointer for a more general social theory of interdisciplinarity which will then be used to sound a caution on how interdisciplinary relations between the three disciplines might be managed.

Understanding Australian policies on public health using social and political science theories: reflections from an Academy of the Social Sciences in Australia Workshop.

Science.gov (United States)

Baum, Fran; Graycar, Adam; Delany-Crowe, Toni; de Leeuw, Evelyne; Bacchi, Carol; Popay, Jennie; Orchard, Lionel; Colebatch, Hal; Friel, Sharon; MacDougall, Colin; Harris, Elizabeth; Lawless, Angela; McDermott, Dennis; Fisher, Matthew; Harris, Patrick; Phillips, Clare; Fitzgerald, Jane

2018-04-19

There is strong, and growing, evidence documenting health inequities across the world. However, most governments do not prioritize policies to encourage action on the social determinants of health and health equity. Furthermore, despite evidence concerning the benefits of joined-up, intersectoral policy to promote health and health equity, it is rare for such policy approaches to be applied systematically. To examine the usefulness of political and social science theory in understanding the reasons for this disjuncture between evidence and practice, researchers and public servants gathered in Adelaide for an Academy of the Social Sciences in Australia (ASSA) Workshop. This paper draws together the learnings that emerged from the Workshop, including key messages about the usefulness of various theories as well as insights drawn from policy practice. Discussions during the Workshop highlighted that applying multiple theories is particularly helpful in directing attention to, and understanding, the influence of all stages of the policy process; from the construction and framing of policy problems, to the implementation of policy and evaluation of outcomes, including those outcomes that may be unintended. In addition, the Workshop emphasized the value of collaborations among public health researchers, political and social scientists and public servants to open up critical discussion about the intersections between theory, research evidence and practice. Such critique is vital to render visible the processes through which particular sources of knowledge may be privileged over others and to examine how political and bureaucratic environments shape policy proposals and implementation action.

How Earth Educators Can Help Students Develop a Holistic Understanding of Sustainability

Science.gov (United States)

Curren, R. R.; Metzger, E. P.

2017-12-01

With their expert understanding of planetary systems, Earth educators play a pivotal role in helping students understand the scientific dimensions of solution-resistant ("wicked") challenges to sustainability that arise from complex interactions between intertwined and co-evolving natural and human systems. However, teaching the science of sustainability in isolation from consideration of human values and social dynamics leaves students with a fragmented understanding and obscures the underlying drivers of unsustainability. Geoscience instructors who wish to address sustainability in their courses may feel ill-equipped to engage students in investigation of the fundamental nature of sustainability and its social and ethical facets. This presentation will blend disciplinary perspectives from Earth system science, philosophy, psychology, and anthropology to: 1) outline a way to conceptualize sustainability that synthesizes scientific, social, and ethical perspectives and 2) provide an overview of resources and teaching strategies designed to help students connect science content to the socio-political dimensions of sustainability through activities and assignments that promote active learning, systems thinking, reflection, and collaborative problem-solving.

The social neuroscience and the theory of integrative levels.

Science.gov (United States)

Bello-Morales, Raquel; Delgado-García, José María

2015-01-01

The theory of integrative levels provides a general description of the evolution of matter through successive orders of complexity and integration. Along its development, material forms pass through different levels of organization, such as physical, chemical, biological or sociological. The appearance of novel structures and dynamics during this process of development of matter in complex systems has been called emergence. Social neuroscience (SN), an interdisciplinary field that aims to investigate the biological mechanisms that underlie social structures, processes, and behavior and the influences between social and biological levels of organization, has affirmed the necessity for including social context as an essential element to understand the human behavior. To do this, SN proposes a multilevel integrative approach by means of three principles: multiple determinism, nonadditive determinism and reciprocal determinism. These theoretical principles seem to share the basic tenets of the theory of integrative levels but, in this paper, we aim to reveal the differences among both doctrines. First, SN asserts that combination of neural and social variables can produce emergent phenomena that would not be predictable from a neuroscientific or social psychological analysis alone; SN also suggests that to achieve a complete understanding of social structures we should use an integrative analysis that encompasses levels of organization ranging from the genetic level to the social one; finally, SN establishes that there can be mutual influences between biological and social factors in determining behavior, accepting, therefore, a double influence, upward from biology to social level, and downward, from social level to biology. In contrast, following the theory of integrative levels, emergent phenomena are not produced by the combination of variables from two levels, but by the increment of complexity at one level. In addition, the social behavior and structures might be

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The social neuroscience and the theory of integrative levels

Directory of Open Access Journals (Sweden)

Raquel eBello-Morales

2015-10-01

Full Text Available The theory of integrative levels provides a general description of the evolution of matter through successive orders of complexity and integration. Along its development, material forms pass through different levels of organization, such as physical, chemical, biological or sociological. The appearance of novel structures and dynamics during this process of development of matter in complex systems has been called emergence. Social neuroscience (SN, an interdisciplinary field that aims to investigate the biological mechanisms that underlie social structures, processes, and behavior and the influences between social and biological levels of organization, has affirmed the necessity for including social context as an essential element to understand the human behavior. To do this, SN proposes a multilevel integrative approach by means of three principles: multiple determinism, nonadditive determinism and reciprocal determinism. These theoretical principles seem to share the basic tenets of the theory of integrative levels but, in this paper, we aim to reveal the differences among both doctrines.First, SN asserts that combination of neural and social variables can produce emergent phenomena that would not be predictable from a neuroscientific or social psychological analysis alone; SN also suggests that to achieve a complete understanding of social structures we should use an integrative analysis that encompasses levels of organization ranging from the genetic level to the social one; finally, SN establishes that there can be mutual influences between biological and social factors in determining behavior, accepting, therefore, a double influence, upward from biology to social level, and downward, from social level to biology.In contrast, following the theory of integrative levels, emergent phenomena are not produced by the combination of variables from two levels, but by the increment of complexity at one level. In addition, the social behavior and

Autopoiesis of the techno-social systems as a factor of social risks proliferation

Directory of Open Access Journals (Sweden)

D E Orlov

2015-12-01

Full Text Available The article describes the problem of the unpredictable proliferation and complication of techno-social systems (such as Internet and financial markets. The authors try to explicate the social risks generated by these systems with the theoretical resources of the system theory of communication (N. Luhmann, which is based on the concepts of ‘recursion’, ‘process’ (‘operation’, ‘operationally closed system’, ‘autopoiesis’, etc. The authors believe that the autopoietic system response to external stimuli cannot be predicted by classical means of sociology and cybernetics. Turbulence and continuous complication of techno-social objects let the authors suggest that the dynamics of the systems under consideration contains some features of autopoiesis. Thus, the analysis of the financial market as a complex techno-social object based on the ideas of G. Akerlof (theory of irrational economic behavior and K. Knorr Cetina (object-centric sociology allows to better understand the phenomenon of unpredictable market dynamics (the risk of proliferation of market expectations, inability to capture the control level by any of the participants, etc. The authors believe that such a conceptualization helps to bring together sociological practices of the techno-social objects research and perspective methods of applied mathematics (fractal geometry, theory of reflexive relations, ‘soft’ models, etc., as well as contributes to the search of effective tools for modeling complex techno-social objects, and, thus, social risks accompanying them.

A framework for complexity in palliative care: A qualitative study with patients, family carers and professionals.

Science.gov (United States)

Pask, Sophie; Pinto, Cathryn; Bristowe, Katherine; van Vliet, Liesbeth; Nicholson, Caroline; Evans, Catherine J; George, Rob; Bailey, Katharine; Davies, Joanna M; Guo, Ping; Daveson, Barbara A; Higginson, Irene J; Murtagh, Fliss Em

2018-02-01

Palliative care patients are often described as complex but evidence on complexity is limited. We need to understand complexity, including at individual patient-level, to define specialist palliative care, characterise palliative care populations and meaningfully compare interventions/outcomes. To explore palliative care stakeholders' views on what makes a patient more or less complex and insights on capturing complexity at patient-level. In-depth qualitative interviews, analysed using Framework analysis. Semi-structured interviews across six UK centres with patients, family, professionals, managers and senior leads, purposively sampled by experience, background, location and setting (hospital, hospice and community). 65 participants provided an understanding of complexity, which extended far beyond the commonly used physical, psychological, social and spiritual domains. Complexity included how patients interact with family/professionals, how services' respond to needs and societal perspectives on care. 'Pre-existing', 'cumulative' and 'invisible' complexity are further important dimensions to delivering effective palliative and end-of-life care. The dynamic nature of illness and needs over time was also profoundly influential. Adapting Bronfenbrenner's Ecological Systems Theory, we categorised findings into the microsystem (person, needs and characteristics), chronosystem (dynamic influences of time), mesosystem (interactions with family/health professionals), exosystem (palliative care services/systems) and macrosystem (societal influences). Stakeholders found it acceptable to capture complexity at the patient-level, with perceived benefits for improving palliative care resource allocation. Our conceptual framework encompasses additional elements beyond physical, psychological, social and spiritual domains and advances systematic understanding of complexity within the context of palliative care. This framework helps capture patient-level complexity and target

Understanding Crew Decision-Making in the Presence of Complexity: A Flight Simulation Experiment

Science.gov (United States)

Young, Steven D.; Daniels, Taumi S.; Evans, Emory; deHaag, Maarten Uijt; Duan, Pengfei

2013-01-01

Crew decision making and response have long been leading causal and contributing factors associated with aircraft accidents. Further, it is anticipated that future aircraft and operational environments will increase exposure to risks related to these factors if proactive steps are not taken to account for ever-increasing complexity. A flight simulation study was designed to collect data to help in understanding how complexity can, or may, be manifest. More specifically, an experimental apparatus was constructed that allowed for manipulation of information complexity and uncertainty, while also manipulating operational complexity and uncertainty. Through these manipulations, and the aid of experienced airline pilots, several issues have been discovered, related most prominently to the influence of information content, quality, and management. Flight crews were immersed in an environment that included new operational complexities suggested for the future air transportation system as well as new technological complexities (e.g. electronic flight bags, expanded data link services, synthetic and enhanced vision systems, and interval management automation). In addition, a set of off-nominal situations were emulated. These included, for example, adverse weather conditions, traffic deviations, equipment failures, poor data quality, communication errors, and unexpected clearances, or changes to flight plans. Each situation was based on one or more reference events from past accidents or incidents, or on a similar case that had been used in previous developmental tests or studies. Over the course of the study, 10 twopilot airline crews participated, completing over 230 flights. Each flight consisted of an approach beginning at 10,000 ft. Based on the recorded data and pilot and research observations, preliminary results are presented regarding decision-making issues in the presence of the operational and technological complexities encountered during the flights.

The neuroscience of social decision-making.

Science.gov (United States)

Rilling, James K; Sanfey, Alan G

2011-01-01

Given that we live in highly complex social environments, many of our most important decisions are made in the context of social interactions. Simple but sophisticated tasks from a branch of experimental economics known as game theory have been used to study social decision-making in the laboratory setting, and a variety of neuroscience methods have been used to probe the underlying neural systems. This approach is informing our knowledge of the neural mechanisms that support decisions about trust, reciprocity, altruism, fairness, revenge, social punishment, social norm conformity, social learning, and competition. Neural systems involved in reward and reinforcement, pain and punishment, mentalizing, delaying gratification, and emotion regulation are commonly recruited for social decisions. This review also highlights the role of the prefrontal cortex in prudent social decision-making, at least when social environments are relatively stable. In addition, recent progress has been made in understanding the neural bases of individual variation in social decision-making.

Understanding the Context of Learning in an Online Social Network for Health Professionals' Informal Learning.

Science.gov (United States)

Li, Xin; Gray, Kathleen; Verspoor, Karin; Barnett, Stephen

2017-01-01

Online social networks (OSN) enable health professionals to learn informally, for example by sharing medical knowledge, or discussing practice management challenges and clinical issues. Understanding the learning context in OSN is necessary to get a complete picture of the learning process, in order to better support this type of learning. This study proposes critical contextual factors for understanding the learning context in OSN for health professionals, and demonstrates how these contextual factors can be used to analyse the learning context in a designated online learning environment for health professionals.

Complexities of Emotional Responses to Social and Nonsocial Affective Stimuli in Schizophrenia

Directory of Open Access Journals (Sweden)

Joel S. Peterman

2015-03-01

Full Text Available BACKGROUND: Adaptive emotional responses are important in interpersonal relationships. We investigated self-reported emotional experience, physiological reactivity, and micro-facial expressivity in relation to the social nature of stimuli in individuals with schizophrenia.METHOD: Galvanic skin response (GSR and facial electromyography (fEMG were recorded in medicated outpatients with schizophrenia (SZ and demograph-ically-matched healthy controls (CO while they viewed social and non-social im-ages from the International Affective Pictures System (IAPS. Participants rated the valence and arousal, and selected a label for experienced emotions. Symp-tom severity in the SZ, and schizotypy in CO were assessed.RESULTS: The two groups did not differ in their labeling of the emotions evoked by the stimuli, but individuals with schizophrenia were more positive in their va-lence ratings. Although self-reported arousal was similar in both groups, GSR was greater in schizophrenia, suggesting differential awareness or calibration of internal states. Both groups reported social images to be more arousing than non-social images but their physiological responses to nonsocial vs. social imag-es were different. Self-reported arousal to neutral social images was correlated with positive symptoms in schizophrenia. Negative symptoms in SZ and disor-ganized schizotypy in CO were associated with reduced fEMG. Greater corruga-tor fEMG activity for positive images in SZ indicates valence-incongruent facial expressions.CONCLUSIONS: The patterns of emotional responses differed between the two groups. While both groups were in broad agreement in self-reported arousal and emotion labels, their GSR and fEMG correlates of emotion diverged in relation to the social nature of the stimuli and clinical measures. Importantly, these results suggest disrupted self awareness of internal states in schizophrenia and under-score the complexities of emotion processing in health and

Understanding Teachers' Pedagogical Choice: A Sociological Framework Combining the Work of Bourdieu and Giddens

Science.gov (United States)

Burridge, Peter

2014-01-01

Understanding teachers' pedagogical choice provides a new insight into the influences on student achievement. This paper presents a sociological framework developed from the work of Pierre Bourdieu and Anthony Giddens that identify the complex social interactions which surround teacher's work. The framework examines teachers' potential to act…

Mediation, moderation, and context: Understanding complex relations among cognition, affect, and health behaviour.

Science.gov (United States)

Kiviniemi, Marc T; Ellis, Erin M; Hall, Marissa G; Moss, Jennifer L; Lillie, Sarah E; Brewer, Noel T; Klein, William M P

2018-01-01

Researchers have historically treated cognition and affect as separate constructs in motivating health behaviour. We present a framework and empirical evidence for complex relations between cognition and affect in predicting health behaviour. Main Outcome, Design and Results: First, affect and cognition can mediate each other's relation to health behaviour. Second, affect and cognition can moderate the other's impact. Third, context can change the interplay of affect and cognition. Fourth, affect and cognition may be indelibly fused in some psychological constructs (e.g. worry, anticipated regret and reactance). These four propositions in our framework are not mutually exclusive. Examination of the types of complex relations described here can benefit theory development, empirical testing of theories and intervention design. Doing so will advance the understanding of mechanisms involved in regulation of health behaviours and the effectiveness of interventions to change health behaviours.

Social Empathy as a Framework for Teaching Social Justice

Science.gov (United States)

Segal, Elizabeth A.; Wagaman, M. Alex

2017-01-01

Social work education stresses training students to understand oppressive structural barriers and promote social and economic justice. Social empathy, which is rooted in a deep understanding of those who are different from us through contextual understanding and macro perspective-taking, offers a framework for teaching social justice that…

Conceptual shifts needed to understand the dynamic interactions of genes, environment, epigenetics, social processes, and behavioral choices.

Science.gov (United States)

Jackson, Fatimah L C; Niculescu, Mihai D; Jackson, Robert T

2013-10-01

Social and behavioral research in public health is often intimately tied to profound, but frequently neglected, biological influences from underlying genetic, environmental, and epigenetic events. The dynamic interplay between the life, social, and behavioral sciences often remains underappreciated and underutilized in addressing complex diseases and disorders and in developing effective remediation strategies. Using a case-study format, we present examples as to how the inclusion of genetic, environmental, and epigenetic data can augment social and behavioral health research by expanding the parameters of such studies, adding specificity to phenotypic assessments, and providing additional internal control in comparative studies. We highlight the important roles of gene-environment interactions and epigenetics as sources of phenotypic change and as a bridge between the life and social and behavioral sciences in the development of robust interdisciplinary analyses.

A Social-constructionist, narrative understanding of the Church�s morality on sex

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J C M�ller

2003-10-01

Full Text Available This� article can be described as� a social constructionist, narrative understanding of a group of selected South African white Christians� experience and perceptions regarding sexual morality in the context of heterosexual couples. In this article we will encounter alternative descriptions of sex, sexuality and marriage. The assertion is made that sexual morality should be understood within a relational contextual view of human interaction. This entails a shift away from act-centred, universally right or wrong sexually moral behaviour. These contentions are grounded in a thickened description of sex, sexuality and marriage,through which the thin, act-centred discourse of sex as coitus and marriage as ceremonial consent is deconstructed. A few guidelines are also being made in view of the church and parents. The authors use the metaphor of the board game �snakes and ladders� to enlighten the underlying worldview� and findings, thereby situating sexual morality within the sphere of human social interaction and reality.

Energy landscape scheme for an intuitive understanding of complex domain dynamics in ferroelectric thin films

Science.gov (United States)

Heon Kim, Tae; Yoon, Jong-Gul; Hyub Baek, Seung; Park, Woong-Kyu; Mo Yang, Sang; Yup Jang, Seung; Min, Taeyuun; Chung, Jin-Seok; Eom, Chang-Beom; Won Noh, Tae

2015-07-01

Fundamental understanding of domain dynamics in ferroic materials has been a longstanding issue because of its relevance to many systems and to the design of nanoscale domain-wall devices. Despite many theoretical and experimental studies, a full understanding of domain dynamics still remains incomplete, partly due to complex interactions between domain-walls and disorder. We report domain-shape-preserving deterministic domain-wall motion, which directly confirms microscopic return point memory, by observing domain-wall breathing motion in ferroelectric BiFeO3 thin film using stroboscopic piezoresponse force microscopy. Spatial energy landscape that provides new insights into domain dynamics is also mapped based on the breathing motion of domain walls. The evolution of complex domain structure can be understood by the process of occupying the lowest available energy states of polarization in the energy landscape which is determined by defect-induced internal fields. Our result highlights a pathway for the novel design of ferroelectric domain-wall devices through the engineering of energy landscape using defect-induced internal fields such as flexoelectric fields.

Energy landscape scheme for an intuitive understanding of complex domain dynamics in ferroelectric thin films.

Science.gov (United States)

Kim, Tae Heon; Yoon, Jong-Gul; Baek, Seung Hyub; Park, Woong-kyu; Yang, Sang Mo; Yup Jang, Seung; Min, Taeyuun; Chung, Jin-Seok; Eom, Chang-Beom; Noh, Tae Won

2015-07-01

Fundamental understanding of domain dynamics in ferroic materials has been a longstanding issue because of its relevance to many systems and to the design of nanoscale domain-wall devices. Despite many theoretical and experimental studies, a full understanding of domain dynamics still remains incomplete, partly due to complex interactions between domain-walls and disorder. We report domain-shape-preserving deterministic domain-wall motion, which directly confirms microscopic return point memory, by observing domain-wall breathing motion in ferroelectric BiFeO3 thin film using stroboscopic piezoresponse force microscopy. Spatial energy landscape that provides new insights into domain dynamics is also mapped based on the breathing motion of domain walls. The evolution of complex domain structure can be understood by the process of occupying the lowest available energy states of polarization in the energy landscape which is determined by defect-induced internal fields. Our result highlights a pathway for the novel design of ferroelectric domain-wall devices through the engineering of energy landscape using defect-induced internal fields such as flexoelectric fields.

An imaging genetics approach to understanding social influence

OpenAIRE

Emily eFalk; Emily eFalk; Baldwin eWay; Agnes eJasinska

2012-01-01

Normative social influences shape nearly every aspect of our lives, yet the biological processes mediating the impact of these social influences on behavior remain incompletely understood. In this Hypothesis, we outline a theoretical framework and an integrative research approach to the study of social influences on the brain and genetic moderators of such effects. First, we review neuroimaging evidence linking social influence and conformity to the brain’s reward system. We next review neur...

An imaging genetics approach to understanding social influence

OpenAIRE

Falk, Emily B.; Way, Baldwin M.; Jasinska, Agnes J.

2012-01-01

Normative social influences shape nearly every aspect of our lives, yet the biological processes mediating the impact of these social influences on behavior remain incompletely understood. In this Hypothesis, we outline a theoretical framework and an integrative research approach to the study of social influences on the brain and genetic moderators of such effects. First, we review neuroimaging evidence linking social influence and conformity to the brain's reward system. We next review neuro...

Gender, Environment and the Theory of Complexity

Directory of Open Access Journals (Sweden)

Regina Célia Di Ciommo

2003-01-01

Full Text Available We use the theory of complexity to analise gender questions, showing that those are built by society in an exchange of interactions between nature and culture. The bioanthropological rootsand and the sociocultural characteristics contain different experiences, knowledge and wisdom, in a complex organization in which oposition does notmean extinction, and difference does not imply hierarchy. We can apply Morin’s “tetralogical ring” concept, which admits disorder, organization, order and interaction to the understanding of the impasse between masculine and feminine, humans and non-humans, towards a paradigmatic change in the social and environmental relations.

Embeddedness and Empathy: How the Social Network Shapes Adolescents' Social Understanding

Science.gov (United States)

Wolfer, Ralf; Cortina, Kai S.; Baumert, Jurgen

2012-01-01

Based on theories of social-cognitive development, the present study investigated the yet unknown social structure that underlies the concept of empathy in adolescence. A total of 3.159 seventh graders (13.67 years, 56% girls) from 166 school classes participated by providing information on empathy, related psychosocial factors, and friendship…

Understanding willingness to pay for social network sites

NARCIS (Netherlands)

Vock, M.; van Dolen, W.; de Ruyter, K.

2013-01-01

The authors investigate how perceived customer value can be translated into economic returns for online social network sites (SNS). The (joint) impact of two value propositions, social capital and entitativity, is assessed. Perceived economic and social customer value are investigated as outcomes of

Spatial Footprints of Human Perceptual Experience in Geo-Social Media

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Jun Lee

2018-02-01

Full Text Available Analyses of social media have increased in importance for understanding human behaviors, interests, and opinions. Business intelligence based on social media can reduce the costs of managing customer trend complexities. This paper focuses on analyzing sensation information representing human perceptual experiences in social media through the five senses: sight, hearing, touch, smell, and taste. First a measurement is defined to estimate social sensation intensities, and subsequently sensation characteristics on geo-social media are identified using geo-spatial footprints. Finally, we evaluate the accuracy and F-measure of our approach by comparing with baselines.

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International Conference on Social Modeling and Simulation, plus Econophysics Colloquium 2014

CERN Document Server

Ito, Nobuyasu; Noda, Itsuki; Takayasu, Misako

2015-01-01

The proceedings of the international conference “SMSEC2014”, a joint conference of the first “Social Modeling and Simulations” and the 10th “Econophysics Colloquium”, held in Kobe in November 2014 with 174 participants, are gathered herein. Cutting edge scientific researches on various social phenomena are reviewed. New methods for analysis of big data such as financial markets, automobile traffics, epidemic spreading, world-trades and social media communications are provided to clarify complex interaction and distributions underlying in these social phenomena. Robustness and fragility of social systems are discussed based on agent models and complex network models. Techniques about high performance computers are introduced for simulation of complicated social phenomena. Readers will feel the researchers minds that deep and quantitative understanding will make it possible to realize comprehensive simulations of our whole society in the near future, which will contribute to wide fields of industry ...

Social stigma in diabetes : a framework to understand a growing problem for an increasing epidemic.

Science.gov (United States)

Schabert, Jasmin; Browne, Jessica L; Mosely, Kylie; Speight, Jane

2013-01-01

A comprehensive understanding of the social and psychological impact of diabetes mellitus is important for informing policy and practice. One potentially significant, yet under-researched, issue is the social stigma surrounding diabetes. This narrative review draws on literature about health-related stigma in diabetes and other chronic conditions in order to develop a framework for understanding diabetes-related stigma. Our review of the literature found that people who do not have diabetes assume that diabetes is not a stigmatized condition. In contrast, people with diabetes report that stigma is a significant concern to them, experienced across many life domains, e.g., in the workplace, in relationships. The experience of diabetes-related stigma has a significant negative impact on many aspects of psychological well-being and may also result in sub-optimal clinical outcomes for people with diabetes. We propose a framework that highlights the causes (attitudes of blame, feelings of fear and disgust, and the felt need to enforce social norms and avoid disease), experiences (being judged, rejected, and discriminated against), and consequences (e.g., distress, poorer psychological well-being, and sub-optimal self-care) of diabetes-related stigma and also identifies potential mitigating strategies to reduce diabetes-related stigma and/or enhance coping and resilience amongst people with diabetes. The systematic investigation of the experiences, causes, and consequences of diabetes-related stigma is an urgent research priority.

A multisite audit to assess how women with complex social factors access and engage with maternity services.

Science.gov (United States)

Rayment-Jones, Hannah; Butler, Eleanor; Miller, Chelsie; Nay, Christine; O'Dowd, Jennifer

2017-09-01

to audit women with socially complex lives' documented access to and engagement with antenatal care provided by three inner city, UK maternity services in relation to birth and neonatal outcomes, and referral processes. women living socially complex lives, including young mothers, recently arrived immigrants, non-English speaking, and those experiencing domestic violence, poor mental health, drug and alcohol abuse, and poverty experience high rates of morbidity, mortality and poor birth outcomes. This is associated with late access to and poor engagement with antenatal care. data was collected from three separate NHS trusts data management systems for a total of 182 women living socially complex lives, between January and December 2015. Data was presented by individual trust and compared to standards derived from NICE guidelines, local trust policy and national statistic using Excel and SPSS Version 22. Tests of correlation were carried out to minimise risks of confounding factors in characteristic differences. non-English speaking women were much less likely to have accessed care within the recommended timeframes, with over 70% of the sample not booked for maternity care by 12 weeks gestation. On average 89% primiparous women across all samples had less than the recommended number of antenatal appointments. No sample met the audit criteria in terms of number of antenatal appointments attended. Data held on the perinatal data management systems for a number of outcomes and processes was largely incomplete and appeared unreliable. this data forms a baseline against which to assess the impact of future service developments aimed at improving access and engagement with services for women living with complex social factors. The audit identified issues with the completeness and reliability of data on the perinatal data management system. Copyright © 2017 Elsevier Ltd. All rights reserved.

A Psychosocial Approach to Understanding Underground Spaces

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Eun H. Lee

2017-03-01

Full Text Available With a growing need for usable land in urban areas, subterranean development has been gaining attention. While construction of large underground complexes is not a new concept, our understanding of various socio-cultural aspects of staying underground is still at a premature stage. With projected emergence of underground built environments, future populations may spend much more of their working, transit, and recreational time in underground spaces. Therefore, it is essential to understand the challenges and advantages that such environments have to improve the future welfare of users of underground spaces. The current paper discusses various psycho-social aspects of underground spaces, the impact they can have on the culture shared among the occupants, and possible solutions to overcome some of these challenges.

The Relationship between Second-Order False Belief and Display Rules Reasoning: The Integration of Cognitive and Affective Social Understanding

Science.gov (United States)

Naito, Mika; Seki, Yoshimi

2009-01-01

To investigate the relation between cognitive and affective social understanding, Japanese 4- to 8-year-olds received tasks of first- and second-order false beliefs and prosocial and self-presentational display rules. From 6 to 8 years, children comprehended display rules, as well as second-order false belief, using social pressures justifications…

Social dilemmas and individual/group coordination strategies in a complex rural land-use game

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Luis García-Barrios

2011-09-01

Full Text Available Strengthening ongoing bottom-up capacity building processes for local and sustainable landscape-level governance is a multi-dimensional social endeavor. One of the tasks involved – participatory rural land use planning – requires more understanding and more awareness among all stakeholders regarding the social dilemmas local people confront when responding to each other’s land-use decisions. In this paper we will analyze and discuss a version of our game SIERRA SPRINGS that is simple to play for any stakeholder that can count to 24, yet entails a complex-coordination land use game – with an extensive and yet finite set of solutions – which can mimic in a stylized form some of the dilemmas landowners could confront in a landscape planning process where there livelihoods are at stake. The game has helped researchers and players observe and reflect on the individual coordination strategies that emerge within a group in response to these stylized dilemmas. This paper (1 develops a game-theoretical approach to cooperation, competition and coordination of land uses in small rural watersheds, (2 describe the goal, rules and mechanics of the game, (3 analyzes the structure of each farms’ solution set vs. the whole watershed’s solution set, (4 derives from them the coordination dilemmas and the risk of coordination failure, (5 describes four individual coordination strategies consistently displayed by players; mapping them in a plane we have called Group-Level Coordination Space, and (6 discusses the strengths, limitations and actual and potential uses of the game both for research and as an introductory tool for stakeholders involved in participatory land use planning.

Complexity, Modeling, and Natural Resource Management

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Paul Cilliers

2013-09-01

Full Text Available This paper contends that natural resource management (NRM issues are, by their very nature, complex and that both scientists and managers in this broad field will benefit from a theoretical understanding of complex systems. It starts off by presenting the core features of a view of complexity that not only deals with the limits to our understanding, but also points toward a responsible and motivating position. Everything we do involves explicit or implicit modeling, and as we can never have comprehensive access to any complex system, we need to be aware both of what we leave out as we model and of the implications of the choice of our modeling framework. One vantage point is never sufficient, as complexity necessarily implies that multiple (independent conceptualizations are needed to engage the system adequately. We use two South African cases as examples of complex systems - restricting the case narratives mainly to the biophysical domain associated with NRM issues - that make the point that even the behavior of the biophysical subsystems themselves are already complex. From the insights into complex systems discussed in the first part of the paper and the lessons emerging from the way these cases have been dealt with in reality, we extract five interrelated generic principles for practicing science and management in complex NRM environments. These principles are then further elucidated using four further South African case studies - organized as two contrasting pairs - and now focusing on the more difficult organizational and social side, comparing the human organizational endeavors in managing such systems.

Oxytocin: parallel processing in the social brain?

Science.gov (United States)

Dölen, Gül

2015-06-01

Early studies attempting to disentangle the network complexity of the brain exploited the accessibility of sensory receptive fields to reveal circuits made up of synapses connected both in series and in parallel. More recently, extension of this organisational principle beyond the sensory systems has been made possible by the advent of modern molecular, viral and optogenetic approaches. Here, evidence supporting parallel processing of social behaviours mediated by oxytocin is reviewed. Understanding oxytocinergic signalling from this perspective has significant implications for the design of oxytocin-based therapeutic interventions aimed at disorders such as autism, where disrupted social function is a core clinical feature. Moreover, identification of opportunities for novel technology development will require a better appreciation of the complexity of the circuit-level organisation of the social brain. © 2015 The Authors. Journal of Neuroendocrinology published by John Wiley & Sons Ltd on behalf of British Society for Neuroendocrinology.

Bio-Signal Complexity Analysis in Epileptic Seizure Monitoring: A Topic Review

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Zhenning Mei

2018-05-01

Full Text Available Complexity science has provided new perspectives and opportunities for understanding a variety of complex natural or social phenomena, including brain dysfunctions like epilepsy. By delving into the complexity in electrophysiological signals and neuroimaging, new insights have emerged. These discoveries have revealed that complexity is a fundamental aspect of physiological processes. The inherent nonlinearity and non-stationarity of physiological processes limits the methods based on simpler underlying assumptions to point out the pathway to a more comprehensive understanding of their behavior and relation with certain diseases. The perspective of complexity may benefit both the research and clinical practice through providing novel data analytics tools devoted for the understanding of and the intervention about epilepsies. This review aims to provide a sketchy overview of the methods derived from different disciplines lucubrating to the complexity of bio-signals in the field of epilepsy monitoring. Although the complexity of bio-signals is still not fully understood, bundles of new insights have been already obtained. Despite the promising results about epileptic seizure detection and prediction through offline analysis, we are still lacking robust, tried-and-true real-time applications. Multidisciplinary collaborations and more high-quality data accessible to the whole community are needed for reproducible research and the development of such applications.

Socializing infants towards a cultural understanding of expressing negative affect

DEFF Research Database (Denmark)

Demuth, Carolin

2013-01-01

This article addresses the socialization of emotion expression in infancy. It argues that in order to adequately understand emotion development we need to consider the appraisal of emotion expression through caregivers in mundane, everyday interactions. Drawing on sociocultural and Bakhtinian...... theorizing, it claims that caregivers’ appraisals of infants’ emotion expression are dialogically intertwined with broader speech genres or “communicative genres” of a community and the emotional-volitional tone and normative orientations embedded in them. It aims to investigate how communicative genres......’ expression of negative affect. We found distinct patterns of coconstructing the interaction that point to different normative ori- entations and communicative genres that can be considered to be specific to the two sociocultural contexts. These communicative genres were found to be in line with broader...

Patient Understanding of the Risks and Benefits of Biologic Therapies in Inflammatory Bowel Disease: Insights from a Large-scale Analysis of Social Media Platforms.

Science.gov (United States)

Martinez, Bibiana; Dailey, Francis; Almario, Christopher V; Keller, Michelle S; Desai, Mansee; Dupuy, Taylor; Mosadeghi, Sasan; Whitman, Cynthia; Lasch, Karen; Ursos, Lyann; Spiegel, Brennan M R

2017-07-01

Few studies have examined inflammatory bowel disease (IBD) patients' knowledge and understanding of biologic therapies outside traditional surveys. Here, we used social media data to examine IBD patients' understanding of the risks and benefits associated with biologic therapies and how this affects decision-making. We collected posts from Twitter and e-forum discussions from >3000 social media sites posted between June 27, 2012 and June 27, 2015. Guided by natural language processing, we identified posts with specific IBD keywords that discussed the risks and/or benefits of biologics. We then manually coded the resulting posts and performed qualitative analysis using ATLAS.ti software. A hierarchical coding structure was developed based on the keyword list and relevant themes were identified through manual coding. We examined 1598 IBD-related posts, of which 452 (28.3%) centered on the risks and/or benefits of biologics. There were 5 main themes: negative experiences and concerns with biologics (n = 247; 54.6%), decision-making surrounding biologic use (n = 169; 37.4%), positive experiences with biologics (n = 168; 37.2%), information seeking from peers (n = 125; 27.7%), and cost (n = 38; 8.4%). Posts describing negative experiences primarily commented on side effects from biologics, concerns about potential side effects and increased cancer risk, and pregnancy safety concerns. Posts on decision-making focused on nonbiologic treatment options, hesitation to initiate biologics, and concerns about changing or discontinuing regimens. Social media reveals a wide range of themes governing patients' experience and choice with IBD biologics. The complexity of navigating their risk-benefit profiles suggests merit in creating online tailored decision tools to support IBD patients' decision-making with biologic therapies.

Understanding the connection between historic range of variation, current social values and developing desired conditions

Science.gov (United States)

Larry Blocker; Susan K. Hagle; Rick Lasko; Robert Keane; Barry Bollenbacher; Bruce Fox; Fred Samson; Randy Gay; Cynthia Manning

2001-01-01

Relationships between the development of desired conditions based on todayâs social values, and an understanding of the historic range of variability (HRV) are key to the implementation of ecosystem management. Relevant to the discussion are wildlife habitat values, forage production, economics related to wood resources, aesthetics and visual quality, changes in...

A First Step toward the Automatic Understanding of Social Touch for Naturalistic Human–Robot Interaction

NARCIS (Netherlands)

Jung, Merel Madeleine; Poel, Mannes; Reidsma, Dennis; Heylen, Dirk K.J.

2017-01-01

Social robots should be able to automatically understand and respond to human touch. The meaning of touch does not only depend on the form of touch but also on the context in which the touch takes place. To gain more insight into the factors that are relevant to interpret the meaning of touch within

Understanding comfort and senses in social practices: Insights from a Danish field study

DEFF Research Database (Denmark)

Madsen, Line Valdorff; Gram-Hanssen, Kirsten

2017-01-01

Thermal comfort is central to energy consumption in housing and one of the main drivers behind worldwide GHG emissions. Research on residential energy consumption has therefore addressed comfort in relation to indoor temperatures. This paper argues that by widening the focus of comfort to include...... other aspects such as air, light and materials, more sustainable ideas of residential comfort might be developed. The paper takes a practice theoretical perspective but argues that the senses should be better incorporated into the approach to understand different aspects of comfort. The paper...... investigates how comfort can be understood as sensorial within theories of practice. This implies understanding how the senses are incorporated in embodied and routinised social practices, through which comfort is sensed and interpreted. Comfort is related to a range of everyday practices in the home...

Understanding Social Situations (USS): A proof-of-concept social-cognitive intervention targeting theory of mind and attributional bias in individuals with psychosis.

Science.gov (United States)

Fiszdon, Joanna M; Roberts, David L; Penn, David L; Choi, Kee-Hong; Tek, Cenk; Choi, Jimmy; Bell, Morris D

2017-03-01

In this proof-of-concept trial, we examined the feasibility and preliminary efficacy of Understanding Social Situations (USS), a new social-cognitive intervention that targets higher level social-cognitive skills using methods common to neurocognitive remediation, including drill and practice and hierarchically structured training, which may compensate for the negative effects of cognitive impairment on learning. Thirty-eight individuals with schizophrenia spectrum disorders completed the same baseline assessment of cognitive and social-cognitive functioning twice over a 1-month period to minimize later practice effects, then received 7-10 sessions of USS training, and then completed the same assessment again at posttreatment. USS training was well tolerated and received high treatment satisfaction ratings. Large improvements on the USS Skills Test, which contained items similar to but not identical to training stimuli, suggest that we were effective in teaching specific training content. Content gains generalized to improvements on some of the social-cognitive tasks, including select measures of attributional bias and theory of mind. Importantly, baseline neurocognition did not impact the amount of learning during USS (as indexed by the USS Skills Test) or the amount of improvement on social-cognitive measures. USS shows promise as a treatment for higher level social-cognitive skills. Given the lack of relationship between baseline cognition and treatment effects, it may be particularly appropriate for individuals with lower range cognitive function. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Understanding the Role of Public Administration in Implementing Action on the Social Determinants of Health and Health Inequities.

Science.gov (United States)

Carey, Gemma; Friel, Sharon

2015-10-11

Many of the societal level factors that affect health - the 'social determinants of health (SDH)' - exist outside the health sector, across diverse portfolios of government, and other major institutions including non-governmental organisations (NGOs) and the private sector. This has created growing interest in how to create and implement public policies which will drive better and fairer health outcomes. While designing policies that can improve the SDH is critical, so too is ensuring they are appropriately administered and implemented. In this paper, we draw attention to an important area for future public health consideration - how policies are managed and implemented through complex administrative layers of 'the state.' Implementation gaps have long been a concern of public administration scholarship. To precipitate further work in this area, in this paper, we provide an overview of the scholarly field of public administration and highlight its role in helping to understand better the challenges and opportunities for implementing policies and programs to improve health equity. © 2015 by Kerman University of Medical Sciences.

A Process-Philosophical Understanding of Organizational Learning as "Wayfinding": Process, Practices and Sensitivity to Environmental Affordances

Science.gov (United States)

Chia, Robert

2017-01-01

Purpose: This paper aims to articulate a practice-based, non-cognitivist approach to organizational learning. Design/methodology/approach: This paper explores the potential contribution of a process-based "practice turn" in social theory for understanding organizational learning. Findings: In complex, turbulent environments, robust…

Addressing business from a social-ecological perspective to understand and deal with risk and resilience

CSIR Research Space (South Africa)

Haywood, L

2010-08-01

Full Text Available on ecosystem services for the provision of clean water, air, productive soils and other natural resources it is imperative to understand the complex landscape in which the business operate and how global change can have a devastating economic consequences...

Social - Ethical Commitment of Teaching Personnel from the Paradigm of Complexity

Directory of Open Access Journals (Sweden)

Marilú del Valle Parra Rojas

2016-11-01

Full Text Available The aim of this study is ethically social compromise and teachers from the perspective of complexity in educational institutions. In principle, the researchers turn to the literature review framed in socio-critical theories that permeate teaching action from its social commitment with authors like Garcia and Martinez; also cites Rodrigo Morin and from an ethical perspective. Then perform the recognition of the scenario that allows them to contextual and geographical description where the "Hero Nigale" National Basic School, likewise made the approach to the context in which the investigation was carried out and subsequently socio-political aspects of the municipality Valmore Rodriguez described; then selected in the research process community is involved, which allows collecting information through conversations and interviews with key informants; thus generating awareness spaces for reflection and discussion with stakeholders. the qualitative paradigm is inserted under the participatory action research method IAP according Latorre (2010, applying the interview technique for teachers who work in the institution. The results of this research reveal in educational interest to overcome the weaknesses in the educational process, likewise strengthen oriented social transformation practices, which involves being responsible, equitable, fair, focused on building citizens capable of being, apprehend, live and coexist with others in the same society.

Ethical, legal, and social issues in the translation of genomics into health care.

Science.gov (United States)

Badzek, Laurie; Henaghan, Mark; Turner, Martha; Monsen, Rita

2013-03-01

The rapid continuous feed of new information from scientific discoveries related to the human genome makes translation and incorporation of information into the clinical setting difficult and creates ethical, legal, and social challenges for providers. This article overviews some of the legal and ethical foundations that guide our response to current complex issues in health care associated with the impact of scientific discoveries related to the human genome. Overlapping ethical, legal, and social implications impact nurses and other healthcare professionals as they seek to identify and translate into practice important information related to new genomic scientific knowledge. Ethical and legal foundations such as professional codes, human dignity, and human rights provide the framework for understanding highly complex genomic issues. Ethical, legal, and social concerns of the health provider in the translation of genomic knowledge into practice including minimizing harms, maximizing benefits, transparency, confidentiality, and informed consent are described. Additionally, nursing professional competencies related to ethical, legal, and social issues in the translation of genomics into health care are discussed. Ethical, legal, and social considerations in new genomic discovery necessitate that healthcare professionals have knowledge and competence to respond to complex genomic issues and provide appropriate information and care to patients, families, and communities. Understanding the ethical, legal, and social issues in the translation of genomic information into practice is essential to provide patients, families, and communities with competent, safe, effective health care. © 2013 Sigma Theta Tau International.

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Social knowledge and signals in primates.

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Bergman, Thore J; Sheehan, Michael J

2013-07-01

Primates are notable for having a rich and detailed understanding of their social environment and there has been great interest in the evolution and function of social knowledge in primates. Indeed, primates have been shown to have impressive understandings of not only other group members but also the complex relationships among them. To be useful, however, social knowledge requires memories from previous encounters and observations about individual traits that are stable. Here, we argue that social systems or traits that make social knowledge more costly or less accurate will favor signals that either supplement or replace social knowledge. Thus, the relationship between signals and social knowledge can be complementary or antagonistic depending on the type of signal. Our goal in this review is to elucidate the relationships between signals and social knowledge in primates. We categorize signals into three types, each with different relationships to social knowledge. (1) Identity signals directly facilitate social knowledge, (2) current-state signals supplement information gained through social knowledge, and (3) badges of status replace social knowledge. Primates rely extensively on identity information, but it remains to be determined to what extent this is based on receiver perception of individual variation or senders using identity signals. Primates frequently utilize current-state signals including signals of intent to augment their interactions with familiar individuals. Badges of status are rare in primates, and the cases where they are used point to a functional and evolutionary trade-off between badges of status and social knowledge. However, the nature of this relationship needs further exploration. © 2012 Wiley Periodicals, Inc.

Epidemic processes in complex networks

Science.gov (United States)

Pastor-Satorras, Romualdo; Castellano, Claudio; Van Mieghem, Piet; Vespignani, Alessandro

2015-07-01

In recent years the research community has accumulated overwhelming evidence for the emergence of complex and heterogeneous connectivity patterns in a wide range of biological and sociotechnical systems. The complex properties of real-world networks have a profound impact on the behavior of equilibrium and nonequilibrium phenomena occurring in various systems, and the study of epidemic spreading is central to our understanding of the unfolding of dynamical processes in complex networks. The theoretical analysis of epidemic spreading in heterogeneous networks requires the development of novel analytical frameworks, and it has produced results of conceptual and practical relevance. A coherent and comprehensive review of the vast research activity concerning epidemic processes is presented, detailing the successful theoretical approaches as well as making their limits and assumptions clear. Physicists, mathematicians, epidemiologists, computer, and social scientists share a common interest in studying epidemic spreading and rely on similar models for the description of the diffusion of pathogens, knowledge, and innovation. For this reason, while focusing on the main results and the paradigmatic models in infectious disease modeling, the major results concerning generalized social contagion processes are also presented. Finally, the research activity at the forefront in the study of epidemic spreading in coevolving, coupled, and time-varying networks is reported.

Socializing Infants toward a Cultural Understanding of Expressing Negative Affect: A Bakhtinian Informed Discursive Psychology Approach

Science.gov (United States)

Demuth, Carolin

2013-01-01

This article addresses the socialization of emotion expression in infancy. It argues that in order to adequately understand emotion development we need to consider the appraisal of emotion expression through caregivers in mundane, everyday interactions. Drawing on sociocultural and Bakhtinian theorizing, it claims that caregivers' appraisals of…

Understanding and Predicting Social Media Use Among Community Health Center Patients: A Cross-Sectional Survey

Science.gov (United States)

2014-01-01

Background The use of social media by health care organizations is growing and provides Web-based tools to connect patients, caregivers, and providers. Objective The aim was to determine the use and factors predicting the use of social media for health care–related purposes among medically underserved primary care patients. Methods A cross-sectional survey was administered to 444 patients of a federally qualified community health center. Results Community health center patients preferred that their providers use email, cell phones for texting, and Facebook and cell phone apps for sharing health information. Significantly more Hispanic than white patients believed their providers should use Facebook (P=.001), YouTube (P=.01), and Twitter (P=.04) for sharing health information. Use and intentions to use social media for health-related purposes were significantly higher for those patients with higher subjective norm scores. Conclusions Understanding use and factors predicting use can increase adoption and utilization of social media for health care–related purposes among underserved patients in community health centers. PMID:25427823

Understanding Social Media Use in Latin America

Directory of Open Access Journals (Sweden)

Ryan Salzman

2015-01-01

Full Text Available El uso de las redes sociales es cada vez más común en todo el mundo. Sin embargo, poco se sabe acerca de lo que conforma el uso de las redes socia - les, especialmente en las regiones en desarrollo del mundo. Este proyecto de investigación tiene por objeto dilucidar los determinantes del uso de las redes sociales en ocho países de América Latina contiguos desde México hasta Colombia utilizando los datos de la encuesta de Opinión Pública La - tinoamericana de Proyectos 2012. El uso de las redes sociales para efectos de defender una posición política se emplea como variable dependiente con una serie de características a nivel individual incluidas como variables inde - pendientes. Los resultados del modelo de regresión multinomial explican los determinantes del uso de las redes sociales para la recolección o difu - sión de la información política como individuos más capaces e interesados en emplear esos medios de comunicación que sus contrapartes menos ca - paces o interesados. Los resultados salen desde investigaciones previas que se centraron en el uso general de Internet para la recopilación de noticias, dado que la percepción de la nueva industria de medios de comunicación domésticos no afecta el uso de las redes sociales de este tipo.

Social Media Pedagogy: Applying an Interdisciplinary Approach to Teach Multimodal Critical Digital Literacy

Science.gov (United States)

Talib, Saman

2018-01-01

Social media permeates the daily lives of millennials, as they use it constantly for a variety of reasons. A significant contributing factor is the availability of social media through smartphones and mobile apps. This kind of immersive and complex media environment calls for a literacy pedagogy that prepares students to understand, engage with,…

Age and Social Support Seeking: Understanding the Role of Perceived Social Costs to Others.

Science.gov (United States)

Jiang, Li; Drolet, Aimee; Kim, Heejung S

2018-07-01

We examined age differences in the use of different types of social support and the reasons for these differences. We found that older adults (age 60+) seek explicit social support less compared with young adults (age 18-25), but there is no difference in implicit social support seeking. Concerns about the potential social costs of seeking explicit support mediate the age differences in explicit social support seeking. Whereas young adults view this strategy as conferring more benefits than costs, older adults have a more balanced view of the costs and benefits of explicit social support seeking. Older and young adults do not differ in perceptions of the relative costs versus benefits of implicit social support seeking. Finally, we found older adults benefit more from implicit (vs. explicit) social support emotionally than young adults, which further explains why age groups differ in their use of explicit versus implicit social support.

Society and Social Power

Directory of Open Access Journals (Sweden)

Janani Harish

2014-10-01

Full Text Available Society is the source of immense power. Over the past few centuries humanity has recorded phenomenal growth in its collective capacity for accomplishment, as reflected in the 12-fold growth in global per capita income since 1800. The remarkable achievements in living standards, longevity, science, technology, industry, education, democracy, human rights, peace and global governance are the result of the exponential development of the capacity of society to harness human energies and convert them into social power for productive purposes. Today, humanity possesses the power and capabilities needed to fully meet the multi-dimensional challenges confronting global society. The source of this energy is people. Human energy is transformed into social power by the increasing reach, frequency and complexity of human relationships. Society is a complex living network of organized relationships between people. Its power issues from channelizing our collective energies in productive ways by means of organizing principles such as coordination, systems, specialization of function, hierarchy of authority, and integration. This immense social power remains largely underutilized. Social science needs to evolve a comprehensive, trans-disciplinary understanding of the roots of social power and the process by which it is generated, distributed and applied. This knowledge is the essential foundation for formulating effective social policies capable of eradicating forever persistent poverty, unemployment and social inequality. This article is based on a series of lectures delivered by the author in the WAAS-WUC course on “Toward a Trans-disciplinary Science of Society” at Dubrovnik on September 1-3, 2014. It traces the development of social power in different fields to show that human and social capital are inexhaustible in potential. The more we harness them, the more they grow. Unleashing, directing, channeling and converting human potential into social

Complex Parts, Complex Data: Why You Need to Understand What Radiation Single Event Testing Data Does and Doesn't Show and the Implications Thereof

Science.gov (United States)

LaBel, Kenneth A.; Berg, Melanie D.

2015-01-01

Electronic parts (integrated circuits) have grown in complexity such that determining all failure modes and risks from single particle event testing is impossible. In this presentation, the authors will present why this is so and provide some realism on what this means. Its all about understanding actual risks and not making assumptions.

Advances in the understanding of the BBSome complex structure and function

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Hernandez-Hernandez V

2015-10-01

Full Text Available Victor Hernandez-Hernandez, Dagan JenkinsGenetics and Genomic Medicine Programme, UCL Institute of Child Health, London, UKAbstract: Bardet–Biedl syndrome (BBS is an autosomal recessive condition characterized by important clinical features, including obesity, blindness, renal cystic disease, and intellectual disability. BBS is caused by mutations in >20 genes, a subset of which form the so-called BBSome. The BBSome is a complex that coats intracellular vesicles and interacts with key proteins, such as small GTPases, that regulate the trafficking of these vesicles to the base of cilia. Cilia are microtubular protusions present on the surface of most cells that are defective in a key group of disorders known as ciliopathies, of which BBS is one. BBSome components particularly localize to the basal body of cilia, and also centrosomes, where they interact with pericentriolar material proteins that regulate their function. The BBSome also facilitates the transport of key cargo within cilia by acting as an adaptor protein for intraflagellar transport complexes, and as such BBS mutations lead to a variety of functional defects in cilia in a tissue- and cell-type-specific manner. This might include defects in photoreceptor trafficking linked to the connecting cilium, abnormal hedgehog signaling within bone, and aberrant calcium signaling in response to fluid flow along renal tubules, although the precise mechanisms are still not completely understood. Taken together, the BBSome is an important complex that may be targeted for treatment of a variety of common and important disorders, and understanding the precise function of the BBSome will be essential to capitalize on this translationally.Keywords: retinitis pigmentosa GTPase regulator, polycystin, disrupted in schizophrenia 1, Hedgehog signaling, calcium signaling, photoreceptors

Evolving social responsibility understandings, motivations, and career goals of undergraduate students initially pursuing engineering degrees

Science.gov (United States)

Rulifson, Gregory A.

Engineers impact the lives of every person every day, and need to have a strong sense of social responsibility. Understanding what students think about social responsibility in engineering and their futures is very important. Further, by identifying influences that change these ideas and shape their conceptualizations, we can intervene to help prepare students for their responsibilities as part of the profession in the future. This thesis presents the experiences, in their own words, of 34 students who started in engineering. The study is composed of three parts: (i) engineering students' ideas about socially responsible engineering and what influenced these ideas, (ii) how students see themselves as future socially responsible engineers and how this idea changes over their first three years of college, and (iii) what social responsibility-related reasons students who leave engineering have for choosing a new major. Results show that students are complicated and have varied paths through and out of engineering studies. Students came up with their own ideas about socially responsible engineering that converged over the years on legal and safety related aspects of the profession. Relatedly, students identified with the engineering profession through internships and engineering courses, and rarely described socially responsible aspirations that could be accomplished with engineering. More often, those students who desired to help the disadvantaged through their engineering work left engineering. Their choice to leave was a combination of an unsupportive climate, disinterest in their classes, and a desire to combine their personal and professional social responsibility ambitions. If we want engineering students to push the engineering profession forward to be more socially responsible, we can identify the effective influences and develop a curriculum that encourages critical thinking about the social context and impacts of engineering. Additionally, a social

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

Science.gov (United States)

Zelnio, Ryan J.

2013-01-01

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

A Phenomenological Study: Understanding the Management of Social Categorization Diversity Issues Associated with College Athletic Teams

Science.gov (United States)

Dickelman, Eric

2009-01-01

This qualitative phenomenological research study explored the social categorization diversity management experiences of NCAA Division I, II and III athletic coaches. The research study used a combination of questionnaire, observation and coaching interviews to obtain an understanding of the skills, tools and techniques that these coaches used to…

Social science findings in the United States

Science.gov (United States)

Sarah McCaffrey; Eric Toman; Melanie Stidham; Bruce. Shindler

2015-01-01

The rising number of acres burned annually and growing number of people living in or adjacent to fire-prone areas in the United States make wildfire management an increasingly complex and challenging problem. Given the prominence of social issues in shaping the current challenges and determining paths forward, it will be important to have an accurate understanding of...

Dyslexia and psycho-social functioning: an exploratory study of the role of self-esteem and understanding.

Science.gov (United States)

Terras, Melody M; Thompson, Lucy C; Minnis, Helen

2009-11-01

Individuals with dyslexia may have lower self-esteem and exhibit more emotional and behavioural difficulties than those without reading problems. However, the nature of any relationship between self-esteem and psychopathology remains unknown. This exploratory study assessed levels of self-esteem using the Self-Perception Profile for Children (Manual for the Self-Perception Profile for Children. University of Denver, CO: Denver; 1985) and psycho-social adjustment using the Strengths and Difficulties Questionnaire (J. Child Psychol. Psychiatry, 1997; 38: 581-586) and examined child and parent understanding, attitudes and the perceived impact of reading difficulties on daily life. Sixty-eight children assessed as dyslexic on the basis of discrepancy scores (mean age 11.2 years; 44 male), and their parents, participated. No global self-esteem deficit was found, but the mean score for both child and parent-rated scholastic competence was significantly lower than that of the general population. Rates of social, emotional and behavioural difficulties were significantly higher than in the general population and were correlated with self-esteem. For children who had high global self-worth, both children and their parents had more positive attitudes towards their reading difficulties and were less likely to perceive a negative impact on relationships. The association between academic self-esteem and emotional symptoms is consistent with the proposed link between dyslexia and internalizing difficulties. Good self-esteem and a good understanding of dyslexia may help children avoid some of these difficulties. Further research with larger more representative samples is necessary as understanding the factors that promote successful psycho-social adjustment is essential to the development of effective prevention and intervention strategies.

The direct way may not be the best way: Children with ADHD and their understanding of self-presentation in social interactions

Science.gov (United States)

Kloo, Daniela; Kain, Winfried

2016-01-01

Knowledge and use of self-presentational tactics is an important social skill. We examined understanding of the function of three different self-presentational tactics (self-promotion, ingratiation and blasting) in 11 8–12-year-old boys with attention-deficit/hyperactivity disorder (ADHD) and 11 matched comparison children. Children were given six different self-presentation stories, two for each one of the three different tactics. After each story, they were asked to evaluate the effects of the self-presentational tactic used. Children with ADHD rated self-promotion and blasting as more positive and more effective—and ingratiation as less positive and less effective—than children in the control group. This implicates that children with ADHD prefer simple and direct self-presentational strategies (like self-promotion), and, therefore, may not as easily understand more subtle strategies (like ingratiation). They also seem to be more inclined to use negatively connoted strategies (like blasting). We suggest that this limited understanding of self-presentational strategies in children with ADHD may explain some of their problems in social interactions. Therefore, social skill interventions in children with ADHD should incorporate elements focusing on use and understanding of different self-presentational strategies. PMID:27081391

Physiological mechanisms underlying animal social behaviour.

Science.gov (United States)

Seebacher, Frank; Krause, Jens

2017-08-19

Many species of animal live in groups, and the group represents the organizational level within which ecological and evolutionary processes occur. Understanding these processes, therefore, relies on knowledge of the mechanisms that permit or constrain group formation. We suggest that physiological capacities and differences in physiology between individuals modify fission-fusion dynamics. Differences between individuals in locomotor capacity and metabolism may lead to fission of groups and sorting of individuals into groups with similar physiological phenotypes. Environmental impacts such as hypoxia can influence maximum group sizes and structure in fish schools by altering access to oxygenated water. The nutritional environment determines group cohesion, and the increase in information collected by the group means that individuals should rely more on social information and form more cohesive groups in uncertain environments. Changing environmental contexts require rapid responses by individuals to maintain group coordination, which are mediated by neuroendocrine signalling systems such as nonapeptides and steroid hormones. Brain processing capacity may constrain social complexity by limiting information processing. Failure to evaluate socially relevant information correctly limits social interactions, which is seen, for example, in autism. Hence, functioning of a group relies to a large extent on the perception and appropriate processing of signals from conspecifics. Many if not all physiological systems are mechanistically linked, and therefore have synergistic effects on social behaviour. A challenge for the future lies in understanding these interactive effects, which will improve understanding of group dynamics, particularly in changing environments.This article is part of the themed issue 'Physiological determinants of social behaviour in animals'. © 2017 The Author(s).

Douglas Hanahan: The daunting complexity of cancer: understanding the battlefield is a step towards winning the war

CERN Multimedia

CERN. Geneva

2014-01-01

The Inaugural Grace-CERN Lecture The daunting complexity of cancer: understanding the battlefield is a step towards winning the war Douglas Hanahan, Ph.D. Director, Swiss Institute for Experimental Cancer Research (ISREC) Professor of Molecular Oncology, School of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL) Vice Director, Swiss Cancer Center Lausanne Synopsis (version francaise ci-dessous) Cancer is a disease with hundreds of variations, both in affected organs and in responses to different therapies. Modern human cancer research is producing an avalanche of data about the distinctive genetic aberrations of its specific types, further accentuating the diversity and vast complexity of the disease. There is hope that elucidating its mechanisms will lead to more informed and more effective therapeutic strategies. Understanding the enemy is paramount, and yet tumors arising in different organs can be so different as to de...

The Brain Prize 2014: complex human functions.

Science.gov (United States)

Grigaityte, Kristina; Iacoboni, Marco

2014-11-01

Giacomo Rizzolatti, Stanislas Dehaene, and Trevor Robbins were recently awarded the 2014 Grete Lundbeck European Brain Research Prize for their 'pioneering research on higher brain mechanisms underpinning such complex human functions as literacy, numeracy, motivated behavior and social cognition, and for their effort to understand cognitive and behavioral disorders'. Why was their work highlighted? Is there anything that links together these seemingly disparate lines of research? Copyright © 2014 Elsevier Ltd. All rights reserved.

Community mobilisation in the 21st century: updating our theory of social change?

Science.gov (United States)

Campbell, Catherine

2014-01-01

The article explores the Freirian theory of social change underpinning health-related community mobilisation in poor and marginalised communities. Highlighting potential shortcomings of its essentialist understandings of power and identity, and linear notions of change, it examines how lessons from the 'new left', and burgeoning global protest movements, can rejuvenate the field given the growing complexity of 21st-century social inequalities. It suggests the need for a pastiche of approaches to accommodate health struggles in different times and places. However, while needing some updating, Freire's profound and actionable understandings of the symbolic and material dimensions of social inequalities remain a powerful starting point for activism.

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Social anxiety disorder in adolescence: How developmental cognitive neuroscience findings may shape understanding and interventions for psychopathology

Directory of Open Access Journals (Sweden)

Simone P.W. Haller

2015-06-01

Full Text Available Social anxiety disorder represents a debilitating condition that has large adverse effects on the quality of social connections, educational achievement and wellbeing. Age-of-onset data suggests that early adolescence is a developmentally sensitive juncture for the onset of social anxiety. In this review, we highlight the potential of using a developmental cognitive neuroscience approach to understand (i why there are normative increases in social worries in adolescence and (ii how adolescence-associated changes may ‘bring out’ neuro-cognitive risk factors for social anxiety in a subset of individuals during this developmental period. We also speculate on how changes that occur in learning and plasticity may allow for optimal acquisition of more adaptive neurocognitive strategies through external interventions. Hence, for the minority of individuals who require external interventions to target their social fears, this enhanced flexibility could result in more powerful and longer-lasting therapeutic effects. We will review two novel interventions that target information-processing biases and their neural substrates via cognitive training and visual feedback of neural activity measured through functional magnetic resonance imaging.

"Oh my God, I can't handle this!' : trainees' emotional responses to complex situations

NARCIS (Netherlands)

Helmich, Esther; Diachun, Laura; Joseph, Radha; LaDonna, Kori; Noeverman-Poel, Nelleke; Lingard, Lorelei; Cristancho, Sayra

ContextDealing with emotions is critical for medical trainees' professional development. Taking a sociocultural and narrative approach to understanding emotions, we studied complex clinical situations as a specific context in which emotions are evoked and influenced by the social environment. We

Complex social waves of giant honeybees provoked by a dummy wasp support the special-agent hypothesis.

Science.gov (United States)

Kastberger, Gerald; Weihmann, Frank; Hoetzl, Thomas

2010-03-01

The social waves in giant honeybees termed as shimmering are more complex than mexican waves. it has been demonstrated1 that shimmering is triggered by special agents at the nest surface. in this paper, we have used a nest that originated by amalgamation of two previously separated nests and stimulated waves by a dummy wasp moved on a miniature cable car. we illustrate the plausibility of the special-agent hypothesis1 also for complex shimmering processes.

Complex social waves of giant honeybees provoked by a dummy wasp support the special-agent hypothesis

OpenAIRE

Kastberger, Gerald; Weihmann, Frank; Hoetzl, Thomas

2010-01-01

The social waves in giant honeybees termed as shimmering are more complex than mexican waves. it has been demonstrated1 that shimmering is triggered by special agents at the nest surface. in this paper, we have used a nest that originated by amalgamation of two previously separated nests and stimulated waves by a dummy wasp moved on a miniature cable car. we illustrate the plausibility of the special-agent hypothesis1 also for complex shimmering processes.

Understanding and remediating social-cognitive dysfunctions in patients with serious mental illness using relational frame theory

Directory of Open Access Journals (Sweden)

Annemieke eHendriks

2016-02-01

Full Text Available Impairments in social cognition and perspective-taking play an important role in the psychopathology and social functioning of individuals with social anxiety, autism or schizophrenia-spectrum disorders, among other clinical presentations. Perspective-taking has mostly been studied using the concept of Theory of Mind (ToM, which describes the sequential development of these skills in young children, as well as clinical populations experiencing perspective-taking difficulties. Several studies mention positive results of Theory of Mind based training programs, however, the precise processes involved in the achievement of these improvements are difficult to determine. Relational Frame Theory (RFT is a modern behavioural account of complex cognitive functions, and is argued to provide a more precise approach to the assessment and training of perspective-taking, among other relational skills. Results of RFT-based studies of perspective-taking in developmental and clinical settings are discussed. The development of training methods targeting perspective-taking deficits from an RFT point of view appears to provide promising applications for the enhancement of current treatments of people with social-cognitive dysfunctions.

Understanding and Remediating Social-Cognitive Dysfunctions in Patients with Serious Mental Illness Using Relational Frame Theory.

Science.gov (United States)

Hendriks, Annemieke L; Barnes-Holmes, Yvonne; McEnteggart, Ciara; De Mey, Hubert R A; Janssen, Gwenny T L; Egger, Jos I M

2016-01-01

Impairments in social cognition and perspective-taking play an important role in the psychopathology and social functioning of individuals with social anxiety, autism, or schizophrenia-spectrum disorders, among other clinical presentations. Perspective-taking has mostly been studied using the concept of Theory of Mind (ToM), which describes the sequential development of these skills in young children, as well as clinical populations experiencing perspective-taking difficulties. Several studies mention positive results of ToM based training programs; however, the precise processes involved in the achievement of these improvements are difficult to determine. Relational Frame Theory (RFT) is a modern behavioral account of complex cognitive functions, and is argued to provide a more precise approach to the assessment and training of perspective-taking, among other relational skills. Results of RFT-based studies of perspective-taking in developmental and clinical settings are discussed. The development of training methods targeting perspective-taking deficits from an RFT point of view appears to provide promising applications for the enhancement of current treatments of people with social-cognitive dysfunctions.

Time series analysis of embodied interaction: Movement variability and complexity matching as dyadic properties

Directory of Open Access Journals (Sweden)

Leonardo Zapata-Fonseca

2016-12-01

Full Text Available There is a growing consensus that a fuller understanding of social cognition depends on more systematic studies of real-time social interaction. Such studies require methods that can deal with the complex dynamics taking place at multiple interdependent temporal and spatial scales, spanning sub-personal, personal, and dyadic levels of analysis. We demonstrate the value of adopting an extended multi-scale approach by re-analyzing movement time series generated in a study of embodied dyadic interaction in a minimal virtual reality environment (a perceptual crossing experiment. Reduced movement variability revealed an interdependence between social awareness and social coordination that cannot be accounted for by either subjective or objective factors alone: it picks out interactions in which subjective and objective conditions are convergent (i.e. elevated coordination is perceived as clearly social, and impaired coordination is perceived as socially ambiguous. This finding is consistent with the claim that interpersonal interaction can be partially constitutive of direct social perception. Clustering statistics (Allan Factor of salient events revealed fractal scaling. Complexity matching defined as the similarity between these scaling laws was significantly more pronounced in pairs of participants as compared to surrogate dyads. This further highlights the multi-scale and distributed character of social interaction and extends previous complexity matching results from dyadic conversation to nonverbal social interaction dynamics. Trials with successful joint interaction were also associated with an increase in local coordination. Consequently, a local coordination pattern emerges on the background of complex dyadic interactions in the PCE task and makes joint successful performance possible.

Multiactivity in Social Interaction

DEFF Research Database (Denmark)

Doing more than one thing at the same time – a phenomenon that is often called ‘multitasking’ – is characteristic to many situations in everyday and professional life. Although we all experience it, its real time features remain understudied. Multiactivity in Social Interaction: Beyond multitasking...... offers a fresh view to the phenomenon by presenting studies that explore how two or more activities can be related and made co-relevant as people interact with one another. The studies build on the basis that multiactivity is a social, verbal and embodied phenomenon. They investigate multiactivity...... by using video recordings of real-life interactions from a range of different contexts, such as medical settings, office workplaces and car driving. With the companion collection Interacting with Objects: Language, materiality, and social activity, the book advances understanding of the complex...

Social meanings and understandings in patient-nurse interaction in the community practice setting: a grounded theory study

Directory of Open Access Journals (Sweden)

Stoddart Kathleen M

2012-09-01

Full Text Available Abstract Background The patient-nurse relationship is a traditional concern of healthcare research. However, patient-nurse interaction is under examined from a social perspective. Current research focuses mostly on specific contexts of care delivery and experience related to medical condition or illness, or to nurses’ speciality. Consequentially, this paper is about the social meanings and understandings at play within situated patient-nurse interaction in the community practice setting in a transforming healthcare service. Methods Grounded theory methodology was used and the research process was characterised by principles of theoretical sensitivity and constant comparative analysis. The field of study was four health centres in the community. The participants were patients and nurses representative of those attending or working in the health centres and meeting there by scheduled appointment. Data collection methods were observations, informal interviews and semi-structured interviews. Results Key properties of ‘Being a good patient, being a good nurse’, ‘Institutional experiences’ and ‘Expectations about healthcare’ were associated with the construction of a category entitled ‘Experience’. Those key properties captured that in an evolving healthcare environment individuals continually re-constructed their reality of being a patient or nurse as they endeavoured to perform appropriately; articulation of past and present healthcare experiences was important in that process. Modus operandi in role as patient was influenced by past experiences in healthcare and by those in non-healthcare institutions in terms of engagement and involvement (or not in interaction. Patients’ expectations about interaction in healthcare included some uncertainly as they strived to make sense of the changing roles and expertise of nurses and, differentiating between the roles and expertise of nurses and doctors. Conclusions The importance of social

Theory and research in audiology education: understanding and representing complexity through informed methodological decisions.

Science.gov (United States)

Ng, Stella L

2013-05-01

The discipline of audiology has the opportunity to embark on research in education from an informed perspective, learning from professions that began this journey decades ago. The goal of this article is to position our discipline as a new member in the academic field of health professional education (HPE), with much to learn and contribute. In this article, I discuss the need for theory in informing HPE research. I also stress the importance of balancing our research goals by selecting appropriate methodologies for relevant research questions, to ensure that we respect the complexity of social processes inherent in HPE. Examples of relevant research questions are used to illustrate the need to consider alternative methodologies and to rethink the traditional hierarchy of evidence. I also provide an example of the thought processes and decisions that informed the design of an educational research study using a constructivist grounded theory methodology. As audiology enters the scholarly field of HPE, we need to arm ourselves with some of the knowledge and perspective that informs the field. Thus, we need to broaden our conceptions of what we consider to be appropriate styles of academic writing, relevant research questions, and valid evidence. Also, if we are to embark on qualitative inquiry into audiology education (or other audiology topics), we need to ensure that we conduct this research with an adequate understanding of the theories and methodologies informing such approaches. We must strive to conduct high quality, rigorous qualitative research more often than uninformed, generic qualitative research. These goals are imperative to the advancement of the theoretical landscape of audiology education and evolving the place of audiology in the field of HPE. American Academy of Audiology.

Changing Social Work Students' Perceptions of the Role of Government in a Policy Class

Science.gov (United States)

Granruth, Laura Brierton; Kindle, Peter A.; Burford, Michael L.; Delavega, Elena; Johnson, David H.; Peterson, Susan; Caplan, Mary A.

2018-01-01

Understanding student political attitudes--feelings about government and perceptions of its role--has long been of interest to social scientists. One factor that may influence political attitudes is belief in a just world, a complex psychological construct well established in the literature. Our study explores changes in social work students'…

Governability Framework for the Evaluation and Implementation of Complex Public Health Functions

Science.gov (United States)

Varghese, Joe; Kutty, V. Raman

2012-01-01

Background: The dominant theoretical basis of our public health practice originates from a positivist or reductionist paradigm. It fails to take into account the complexity emerging out of public health's multiple influences originating from biological and social worlds. A deeper understanding of the interaction of elements that characterize the…

Social Media Data in the Academic Environment: Crimson Hexagon in the Library

OpenAIRE

Tulley, Stephanie; Dennis, Tim

2016-01-01

Social media data is a high-profile resource across academic disciplines, in areas as diverse as understanding voter behavior, tracking social communication networks, and identifying sources and effects of pollution on human health. While manual data collection and review from public social media sites can provide some insight into the content of these sources, bulk access to data is preferred for more complex and deeper analysis into the content. A certain amount of data can be accessed dire...

Rethinking the Galapagos Islands as a Complex Social-Ecological System: Implications for Conservation and Management

Directory of Open Access Journals (Sweden)

José A. González

2008-12-01

Full Text Available The Galapagos Islands are among the most renowned natural sites in the world. Unlike other oceanic archipelagos, the ecological and evolutionary processes characteristic of Galapagos have been minimally affected by human activities, and the archipelago still retains most of its original, unique biodiversity. However, several recent reports suggest that the development model has turned unsustainable and that the unique values of the archipelago might be seriously at risk. In response to international concern, UNESCO added Galapagos to the list of World Heritage in Danger in 2007. Our goal was to provide new insights into the origins of the present-day crisis and suggest possible management alternatives. To this end, we re-examined the Galapagos situation from a broad systems perspective, conceptualizing the archipelago as a complex social-ecological system. Past, present, and possible future trends were explored using the resilience theory as a perspective for understanding the dynamics of the system. Four major historical periods were characterized and analyzed using Holling's adaptive cycle metaphor. The current Galapagos situation was characterized as a prolonged series of crisis events followed by renewal attempts that have not yet been completed. Three plausible future scenarios were identified, with tourism acting as the primary driver of change. The current tourism model reduces the system's resilience through its effects on the economy, population growth, resource consumption, invasive species arrival, and lifestyle of the island residents. Opportunities to reorganize and maintain a desirable state do exist. However, strong political and management decisions are urgently needed to avoid an irreversible shift to a socially and environmentally undesirable regime. Key measures to achieve a new sustainability paradigm for Galapagos include modifying traditional practices to produce a more adaptive resilience-based co-management model

Social Stratification, Gender and Sport Participation

OpenAIRE

Aaron Reeves

2012-01-01

Correlations between social class and specific types of sport participation have frequently been observed (Crook 1997; Ceron-Anaya 2010; Dollman and Lewis 2010; Stalsberg and Pedersen 2010). However, discrete associations between occupational class positions and specific sporting activities overlook the complex interrelationships amongst these sports. Until recently, understanding the relationality of sport has been constrained by a lack of available and appropriate data. Work by Bourdieu (19...

Understanding catchment dynamics through a Space-Society-Water trialectic

Science.gov (United States)

Sutherland, Catherine; Jewitt, Graham; Risko, Susan; Hay, Ducan; Stuart-Hill, Sabine; Browne, Michelle

2017-04-01

Can healthy catchments be utilized to secure water for the benefit of society? This is a complex question as it requires an understanding of the connections and relations between biophysical, social, political, economic and governance dimensions over space and time in the catchment and must interrogate whether there is 'value' in investing in the catchment natural or ecological infrastructure (EI), how this should be done, where the most valuable EI is located, and whether an investment in EI will generate co-benefits socially, environmentally and economically. Here, we adopt a social ecological relations rather than systems approach to explore these interactions through development of a space-society-water trialectic. Trialectic thinking is challenging as it requires new epistemologies and it challenges conventional modes of thought. It is not ordered or fixed, but rather is constantly evolving, revealing the dynamic relations between the elements under exploration. The construction of knowledge, through detailed scientific research and social learning, which contributes to the understanding and achievement of sustainable water supply, water related resilient economic growth, greater social equity and justice in relation to water and the reduction of environmental risk is illustrated through research in the uMngeni Catchment, South Africa. Using four case studies as a basis, we construct the catchment level society-water-space trialectic as a way of connecting, assembling and comparing the understanding and knowledge that has been produced. The relations in the three elements of the trialectic are constructed through identifying, understanding and analysing the actors, discourses, knowledge, biophysical materialities, issues and spatial connections in the case studies. Together these relations, or multiple trajectories, are assembled to form the society-water-space trialectic, which illuminates the dominant relations in the catchment and hence reveal the leverage

The Faces of Bureaucracy: Understanding Enterprise Social Media

DEFF Research Database (Denmark)

Mansour, Osama; Ghazawneh, Ahmad

2015-01-01

these media relative to their formal structures and characteristics is a question in focus for the current paper. Drawing on classical concepts of organizational bureaucracy from Weber (1978) and Eisenstadt (1959), we present a qualitative analysis of empirical data obtained from two large organizations......The social media are often perceived as tools that support openness and flexible participation among individuals and communities. This might explain the reason why social media have become indispensible for many daily practices in organizations. But how do these organizations appropriate and use...... wikis might allow for self-organizing, there is still a possibility for enacting social structures that limit openness and flexibility. As such, the paper contributes novel insights into how social media might be used in bureaucracies and soft bureaucracies....

Effects of a community health promotion program on social factors in a vulnerable older adult population residing in social housing.

Science.gov (United States)

Agarwal, Gina; Brydges, Madison

2018-04-16

Supporting older adults' health and wellbeing in the community is an important policy goal that can be supported by health promotion. Despite widespread acceptance of the biopsychosocial model of health and its relation to health, many health promotion programs fail to realize this model in program design. Further, there is limited evidence to support program design targeting social determinants of health such as social isolation or connectedness. To fill this gap, we aimed to understand older adult's experiences participating in cardiovascular health promotion program in a subsidized residential building to capture unintended 'spin-off' psychosocial effects. This study took a constructivist, ethnographic approach utilizing participant observation and semi-structured interviews with participants of the program to understand participant's lived experiences of a health promotion program. In total, we conducted eighty hours of field work and fifteen semi-structured interviews with participants of the program. Thematic analysis was used to analyze the data. Four themes emerged. First, the health promotion program filled a perceived gap caused by a constrained and impersonal health care system. Secondly, the program connected older adults with resources and provided regular and secure access to health information and support. Third, for some residents, the program facilitated social relationships between older adults, leaving participants feeling more socially connected to other residents. Lastly, a paradox of loneliness emerged where older adults talked openly about feelings of loneliness, however not in relation to themselves, but rather regarding their peers. Psychosocial aspects of health, such as loneliness, social connectedness, and social support may be of equal value as the physical health benefits to the older adults who participate in health promotion programs. Incorporating these elements into programming is a complex goal, and the complexity of targeting

The mirror mechanism and mu rhythm in social development.

Science.gov (United States)

Vanderwert, Ross E; Fox, Nathan A; Ferrari, Pier F

2013-04-12

Since the discovery of mirror neurons (MNs) in the monkey there has been a renewed interest in motor theories of cognitive and social development in humans by providing a potential neural mechanism underlying an action observation/execution matching system. It has been proposed that this system plays a fundamental role in the development of complex social and cognitive behaviors such as imitation and action recognition. In this review we discuss what is known about MNs from the work using single-cell recordings in the adult monkey, the evidence for the putative MN system in humans, and the extent to which research using electroencephalography (EEG) methods has contributed to our understanding of the development of these motor systems and their role in the social behaviors postulated by the MN hypothesis. We conclude with directions for future research that will improve our understanding of the putative human MN system and the functional role of MNs in social development. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

An evolutionary framework for studying mechanisms of social behavior.

Science.gov (United States)

Hofmann, Hans A; Beery, Annaliese K; Blumstein, Daniel T; Couzin, Iain D; Earley, Ryan L; Hayes, Loren D; Hurd, Peter L; Lacey, Eileen A; Phelps, Steven M; Solomon, Nancy G; Taborsky, Michael; Young, Larry J; Rubenstein, Dustin R

2014-10-01

Social interactions are central to most animals and have a fundamental impact upon the phenotype of an individual. Social behavior (social interactions among conspecifics) represents a central challenge to the integration of the functional and mechanistic bases of complex behavior. Traditionally, studies of proximate and ultimate elements of social behavior have been conducted by distinct groups of researchers, with little communication across perceived disciplinary boundaries. However, recent technological advances, coupled with increased recognition of the substantial variation in mechanisms underlying social interactions, should compel investigators from divergent disciplines to pursue more integrative analyses of social behavior. We propose an integrative conceptual framework intended to guide researchers towards a comprehensive understanding of the evolution and maintenance of mechanisms governing variation in sociality. Copyright © 2014 Elsevier Ltd. All rights reserved.

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Are you disabled? Social and cultural factors in understanding disability in Trinidad and Tobago

OpenAIRE

Rolston, Yansie

2014-01-01

This thesis is an analysis of the under-researched subject of disability in Trinidad and Tobago and presents an understanding of the concepts and contestations of disability as it is lived and experienced by disabled people in T&T. In it disability is explored in the context of identity construction, power relations and self-empowerment, and takes into account the ways in which that identity is shaped by historical events, cultural relations, social interactions and political structures.\\ud \\...

Understanding Violence Through Social Media

Science.gov (United States)

2017-12-01

ieeexplore.ieee.org/document/5616710/; Brendan O’Connor et al., “From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series,” in...13 Ibid. 14 Ibid. 15 Erik Cambria et al., “New Avenues in Opinion Mining and Sentiment Analysis,” IEEE Intelligent Systems 28, no. 2 (March/April...of Violence”; Meena Nagarajan, Amit Sheth, and Selvam Velmurugan, “Citizen Sensor Data Mining , Social Media Analytics and Development Centric Web

Understanding the occupational and organizational boundaries to safe hospital discharge.

Science.gov (United States)

Waring, Justin; Marshall, Fiona; Bishop, Simon

2015-01-01

Safe hospital discharge relies upon communication and coordination across multiple occupational and organizational boundaries. Our aim was to understand how these boundaries can exacerbate health system complexity and represent latent sociocultural threats to safe discharge. An ethnographic study was conducted in two local health and social care systems (health economies) in England, focusing on two clinical areas: stroke and hip fracture patients. Data collection involved 345 hours of observations and 220 semi-structured interviews with health and social care professionals, patients and their lay carers. Hospital discharge involves a dynamic network of interactions between heterogeneous health and social care actors, each characterized by divergent ways of organizing discharge activities; cultures of collaboration and interaction and understanding of what discharge involves and how it contributes to patient recovery. These interrelated dimensions elaborate the occupational and organisational boundaries that can influence communication and coordination in hospital discharge. Hospital discharge relies upon the coordination of multiple actors working across occupational and organizational boundaries. Attention to the sociocultural boundaries that influence communication and coordination can help inform interventions that might support enhanced discharge safety. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Understanding social acceptance of electricity generation sources

International Nuclear Information System (INIS)

Bronfman, Nicolás C.; Jiménez, Raquel B.; Arévalo, Pilar C.; Cifuentes, Luis A.

2012-01-01

Social acceptability is a determinant factor in the failure or success of the government's decisions about which electricity generation sources will satisfy the growing demand for energy. The main goal of this study was to validate a causal trust-acceptability model for electricity generation sources. In the model, social acceptance of an energy source is directly caused by perceived risk and benefit and also by social trust in regulatory agencies (both directly and indirectly, through perceived risk and benefit). Results from a web-based survey of Chilean university students demonstrated that data for energy sources that are controversial in Chilean society (fossil fuels, hydro, and nuclear power) fit the hypothesized model, whereas data for non conventional renewable energy sources (solar, wind, geothermal and tidal) did not. Perceived benefit had the greatest total effect on acceptability, thus emerging as a key predictive factor of social acceptability of controversial electricity generation sources. Further implications for regulatory agencies are discussed. - Highlights: ► We tested a causal trust-acceptability model for electricity generation sources in Chile. ► Data for controversial energy sources in the Chilean society (fossil fuels, hydro and nuclear power) fit the hypothesized model. ► Data for non conventional renewable energy sources did not fit the data. ► Perceived benefit showed the greatest total effect on acceptability.

Impaired recognition of social emotion in patients with complex regional pain syndrome.

Science.gov (United States)

Shin, Na Young; Kang, Do-Hyung; Jang, Joon Hwan; Park, Soo Young; Hwang, Jae Yeon; Kim, Sung Nyun; Byun, Min Soo; Park, Hye Youn; Kim, Yong Chul

2013-11-01

Multiple brain areas involved in nociceptive, autonomic, and social-emotional processing are disproportionally changed in patients with complex regional pain syndrome (CRPS). Little empirical evidence is available involving social cognitive functioning in patients with chronic pain conditions. We investigated the ability of patients with CRPS to recognize the mental/emotional states of other people. Forty-three patients with CRPS and 30 healthy controls performed the Reading Mind in the Eyes Test, which consists of photos in which human eyes express various emotional and mental states. Neuropsychological tests, including the Wisconsin Card Sorting Test, the stop-signal test, and the reaction time test, were administered to evaluate other cognitive functions. Patients with CRPS were significantly less accurate at recognizing emotional states in other persons, but not on other cognitive tests, compared with control subjects. We found a significant association between the deficit in social-emotion recognition and the affective dimension of pain, whereas this deficit was not related to the sensory dimension of pain. Our findings suggest a disrupted ability to recognize others' mental/emotional states in patients with CRPS. This article demonstrated a deficit in inferring mental/emotional states of others in patients with CRPS that was related to pain affect. Our study suggests that additional interventions directed toward reducing distressful affective pain may be helpful to restore social cognitive processing in patients with CRPS. Copyright © 2013 American Pain Society. Published by Elsevier Inc. All rights reserved.

Complex and Conflicting Social Norms: Implications for Implementation of Future HIV Pre-Exposure Prophylaxis (PrEP Interventions in Vancouver, Canada.

Directory of Open Access Journals (Sweden)

Rod Knight

Full Text Available HIV Pre-Exposure Prophylaxis (PrEP has been found to be efficacious in preventing HIV acquisition among seronegative individuals in a variety of risk groups, including men who have sex with men and people who inject drugs. To date, however, it remains unclear how socio-cultural norms (e.g., attitudes towards HIV; social understandings regarding HIV risk practices may influence the scalability of future PrEP interventions. The objective of this study is to assess how socio-cultural norms may influence the implementation and scalability of future HIV PrEP interventions in Vancouver, Canada.We conducted 50 interviews with young men (ages 18-24 with a variety of HIV risk behavioural profiles (e.g., young men who inject drugs; MSM. Interviews focused on participants' experiences and perceptions with various HIV interventions and policies, including PrEP.While awareness of PrEP was generally low, perceptions about the potential personal and public health gains associated with PrEP were interconnected with expressions of complex and sometimes conflicting social norms. Some accounts characterized PrEP as a convenient form of reliable protection against HIV, likening it to the female birth control pill. Other accounts cast PrEP as a means to facilitate 'socially unacceptable' behaviour (e.g., promiscuity. Stigmatizing rhetoric was used to position PrEP as a tool that could promote some groups' proclivities to take 'risks'.Stigma regarding 'risky' behaviour and PrEP should not be underestimated as a serious implementation challenge. Pre-implementation strategies that concomitantly aim to improve knowledge about PrEP, while addressing associated social prejudices, may be key to effective implementation and scale-up.

Understanding Members’ Attachment to Social Networking Sites

DEFF Research Database (Denmark)

Lim, Eric T. K.; Cyr, Dianne; Tan, Chee-Wee

2014-01-01

Social Networking Sites (SNSs) are pervasive phenomena in today’s society. With greater connectivity and interactivity enabled through emerging technologies, SNSs provide communication platforms for individuals to bridge spatial and temporal differences when making friends, sharing experiences......, socializing with others and much more. This study therefore endeavors to shed light on this growing trend by decomposing members’ motives for participating within SNSs into identity-based, bondbased and comparison-based attachments. Each of these forms of attachment in turn affects members’ cooperative...

Reciprocity, Punishment, Institutions: The Streets to Social Collaboration -- New Theories on How Emerging Social Artifacts Control Our Lives in Society

Science.gov (United States)

Gerace, Giuliana

What mechanisms induce and support cooperation in social interaction? Traditional rational-choice perspective has resulted ineffective to keep track of complex real-world dynamics of cooperation. On the other hand, perspectives based on the justification of fairness preferences as internalized behavioural forces driving realistic cooperative interactions are notoriously incomplete and rather fuzzy with respect to their theoretical foundations. After considering recognized evolutionary accounts of the emergence and resilience of social standards, we endorse the view according to which the key to understanding evolutionary dynamics of social engagement is to be found in individual motivational attitudes to interaction. But, beyond any psychological implications, we suggest not exiting from the "logic of reciprocity" in considering the rationality of preferences for social interaction. Preliminary supporting experimental evidence is provided.

[Understanding social interaction in children with autism spectrum disorders: does whole-body motion mean anything to them?].

Science.gov (United States)

Centelles, L; Assaiante, C; Etchegoyhen, K; Bouvard, M; Schmitz, C

2012-06-01

Autism spectrum disorders (ASD) are characterized by difficulties in social interaction and verbal and non verbal reciprocal communication. Face and gaze direction, which participate in non verbal communication, are described as atypical in ASD. Also body movements carry multiple social cues. Under certain circumstances, for instance when seeing two persons from far, they constitute the only support that allows the grasping of a social content. Here, we investigated the contribution of whole-body motion processing in social understanding. The aim of the study was to evaluate whether children with ASD make use of information carried by body motion to categorize dynamic visual scenes that portrayed social interactions. In 1973, Johansson devised a technique for studying the perception of biological motion that minimizes static form information from the stimulus, but retains motion information. In these point-light displays, the movement figure, such as a body, is represented by a small number of illuminated dots positioned to highlight the motion of the body parts. We used Johansson's model to explore the ability of children with ASD to understand social interactions based on human movement analysis. Three-second silent point-light displays were created by videotaping two actors. The two actors were either interacting together or moving side by side without interacting. A large range of social interaction displays were used to cover social scenes depicting social norms (conventional gestures and courteous attitudes), emotional situations (carrying positive or negative valences) and scenes from games (sports, dance, etc.). Children were asked to carefully watch the stimuli and to classify them according to the question "Are the two persons communicating or not?". Four sessions of 3 minutes were performed by each child. Children with ASD were compared with typically developing control children matched with either non verbal mental age or chronological age. Response and

Signs, Systems and Complexity of Transmedia Storytelling

Directory of Open Access Journals (Sweden)

Renira Rampazzo Gambarato

2012-12-01

Full Text Available This article addresses key concepts such as sign, system and complexity in order to approach transmedia storytelling and better understand its intricate nature. The theoretical framework chosen to investigate transmedia storytelling meanders is Semiotics by Charles Sanders Peirce (1839-1914 and General Systems Theory by Mario Bunge (1919-. The complexity of transmedia storytelling is not simply the one of the signs of the works included in a transmedia franchise. It also includes the complexity of the dispositions of users/consumers/players as interpreters of semiotic elements (e.g. characters, themes, environments, events and outcomes presented by transmedia products. It extends further to the complexity of social, cultural, economical and political constructs. The German transmedia narrative The Ultimate SuperHero-Blog by Stefan Gieren and Soﬁa’s Diary, a Portuguese multiplatform production by BeActive, are presented as examples of closed and open system transmedia storytelling respectively.

Understanding the Social Networks That Form within the Context of an Obesity Prevention Intervention

Directory of Open Access Journals (Sweden)

Sabina B. Gesell

2012-01-01

Full Text Available Background. Antiobesity interventions have generally failed. Research now suggests that interventions must be informed by an understanding of the social environment. Objective. To examine if new social networks form between families participating in a group-level pediatric obesity prevention trial. Methods. Latino parent-preschool child dyads (N=79 completed the 3-month trial. The intervention met weekly in consistent groups to practice healthy lifestyles. The control met monthly in inconsistent groups to learn about school readiness. UCINET and SIENA were used to examine network dynamics. Results. Children’s mean age was 4.2 years (SD=0.9, and 44% were overweight/obese (BMI≥85th percentile. Parents were predominantly mothers (97%, with a mean age of 31.4 years (SD=5.4, and 81% were overweight/obese (BMI≥25. Over the study, a new social network evolved among participating families. Parents selectively formed friendship ties based on child BMI z-score, (t=2.08; P<.05. This reveals the tendency for mothers to form new friendships with mothers whose children have similar body types. Discussion. Participating in a group-level intervention resulted in new social network formation. New ties were greatest with mothers who had children of similar body types. This finding might contribute to the known inability of parents to recognize child overweight.

Understanding the Dynamics of Learning across social worlds

DEFF Research Database (Denmark)

Mengiste, Shegaw Anagaw; Aanestad, Margunn

2013-01-01

participation, politics and learning in IS implementation and use. We consider learning to be an integral part of the social practice, and it occurs mainly through encounters and negotiations between actors from different social worlds who might have competing interests and values. The paper also analysed how......This paper adopts a novel learning perspective on information systems development. Building on the works of Anselm Strauss we conceptualize development processes as “negotiated orders” where members from different “social worlds” encounter and negotiate differences and tensions. We argue...

Usage of Social Network Analysis (Sna in Crisis Management

Directory of Open Access Journals (Sweden)

Güreşci Hakan

2016-06-01

Full Text Available Social systems are complex structures that consist of different sub-systems. Therefore, understanding social systems is more difficult than comprehending electronic or mechanical systems. What makes social systems more complex than other systems is that society is not simply the sum of each individual in the society. In the current global system, the countries, which have become small villages, try to meet national security needs by converting the unknown to known and identifying the correlation among political, military, social and economic events. The current crisis management concepts are conducted through systematic approaches. Besides, the management of social, economic and political crises need to be conducted in a holistic approach covering all sub-systems. At this point, the function of Social Network Analysis (SNA emerges. SNA, which forms the main subject of this paper, is a tool for examining the structure of a crisis through correlating the sub-elements. The aim of this study is to show how SNA can be used in crisis management. First, SNA is performed on a generic crisis situation and the results are presented. Then, the additional critical data requirements are put forward to manage the crisis effectively.

Sustainability science: accounting for nonlinear dynamics in policy and social-ecological systems

Science.gov (United States)

Resilience is an emergent property of complex systems. Understanding resilience is critical for sustainability science, as linked social-ecological systems and the policy process that governs them are characterized by non-linear dynamics. Non-linear dynamics in these systems mean...

Converging biology, economics and social science in fisheries research –lessons learned

DEFF Research Database (Denmark)

Haapasaari, Päivi Elisabet; Kulmala, Soile; Kuikka, Sakari

2011-01-01

of the Baltic salmon stocks, using the Bayesian networks. It enabled the analysis of the outcomes of different management measures from biological, social and economic perspectives. The synthesis was the final output of a learning process of eight years. We reflect how and what kind of interdisciplinarity...... between natural scientists, economists and social scientists grew from the need to better understand complexity related to the salmon fisheries in the Baltic Sea, what we learned about the fishery, and what we learned about interdisciplinary collaboration.......It has been acknowledged that natural sciences cannot provide an adequate basis for the management of complex environmental problems. The scientific knowledge base has to be expanded towards a more holistic direction by incorporating social and economic issues. Besides this, the multifaceted...

The Social Living Complex: A New, All Day, Yearlong Intervention Model for Individuals with Autism Spectrum Disorder and Their Parents

Science.gov (United States)

Doenyas, Ceymi

2016-01-01

We propose an unprecedented intervention for individuals with autism spectrum disorder (ASD) and their parents: the social living complex. Unlike existing social skills interventions, peer-mediated interventions here are not limited to the school/experiment duration and setting. Whereas other supported living services house adults with ASD only,…

Understanding Social Cohesion Differences in Common Interest Housing Developments

NARCIS (Netherlands)

Dam, van R.I.; Eshuis, J.; Twist, van M.J.W.; Anquetil, V.

2014-01-01

The worldwide upsurge of common interest housing developments (CIDs) has stirred up debates regarding community development and social cohesion. Critics have argued that CIDs lack social cohesion because people regulate the community via rules and contracts rather than through social relationships

The Institutional System of Economic Agents’ Social Responsibility

Directory of Open Access Journals (Sweden)

Frolova Elena, A.

2015-12-01

Full Text Available In this paper it was made an attempt to analyse the main characteristics of the institutional system of economic agents social responsibility. The institutional system can be described as a complex of norms, rules, regulations and enforcement mechanisms in the context of interactions and communications of economic agents. The institutional nature of social responsibility allow to solve social dilemmas through the internalization of social responsibility norms and creating social value orientations, which are determine the prosocial behaviour of economic agents. The institutional system of social responsibility was described from the methodological institutionalism point of view. Analysing this phenomenon we are required to develop research on the objects of this system (norms, regulations, behaviour, on the subjects of this system (persons, business, government and on the institutional mechanisms (internalization of social responsibility norms, promoting prosocial behaviour, adaptation and transformation of the social responsibility norms aimed to ensure the understanding of origin and significance of social responsibility for modern society.

'Oh my God, I can't handle this!': trainees' emotional responses to complex situations.

Science.gov (United States)

Helmich, Esther; Diachun, Laura; Joseph, Radha; LaDonna, Kori; Noeverman-Poel, Nelleke; Lingard, Lorelei; Cristancho, Sayra

2018-02-01

Dealing with emotions is critical for medical trainees' professional development. Taking a sociocultural and narrative approach to understanding emotions, we studied complex clinical situations as a specific context in which emotions are evoked and influenced by the social environment. We sought to understand how medical trainees respond to emotions that arise in those situations. In an international constructivist grounded theory study, 29 trainees drew two rich pictures of complex clinical situations, one exciting and one frustrating. Rich pictures are visual representations that capture participants' perceptions about the people, situations and factors that create clinical complexity. These pictures were used to guide semi-structured, individual interviews. We analysed visual materials and interviews in an integrated way, starting with looking at the drawings, doing a 'gallery walk', and using the interviews to inform the aesthetic analysis. Participants' drawings depicted a range of personal emotions in response to complexity, and disclosed unsettling feelings and behaviours that might be considered unprofessional. When trainees felt confident, they were actively participating, engaged in creative problem-solving strategies, and emphasised their personal involvement. When trainees felt the situation was beyond their control, they described how they were running away from the situation, hiding themselves behind others or distancing themselves from patients or families. A sense of control seems to be a key factor influencing trainees' emotional and behavioural responses to complexity. This is problematic, as complex situations are by their nature emergent and dynamic, which limits possibilities for control. Following a social performative approach to emotions, we should help students understand that feeling out of control is an inherent property of participating in complex clinical situations, and, by extension, that it is not something they will 'grow out of

How does money memorize social interactions? Understanding time-homogeneity in monetary systems

Science.gov (United States)

Braun, Dieter; Schmitt, Matthias; Schacker, Andreas

2013-03-01

Understanding how money shapes and memorizes our social interactions is central to modern life. There are many schools of thought on as to how monetary systems contribute to crises or boom/bust cycles and how monetary policy can try to avert them. We find that statistical physics gives a refreshing perspective. We analyze how credit mechanisms introduce non-locality and time-heterogeneity to the monetary memory. Motivated by an analogy to particle physics, locality and time-homogeneity can be imposed to monetary systems. As a result, a full reserve banking system is complemented with a bi-currency system of non-bank assets (``money'') and bank assets (``antimoney''). Payment can either be made by passing on money or by receiving antimoney. As a result, a free floating exchange rate between non-bank assets and bank assets is established. Interestingly, this monetary memory allows for credit creation by the simultaneous transfer of money and antimoney at a negotiated exchange rate. We analyze this novel mechanism of liquidity transfer in a model of random social interactions, yielding analytical results for all relevant distributions and the price of liquidity under the conditions of a fully transparent credit market.

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