What are the principles that keep our society together? This question is even more difficult to answer than the long-standing question, what are the forces that keep our world together. However, the social challenges of humanity in the 21st century ranging from the financial crises to the impacts of globalization, require us to make fast progress in our understanding of how society works, and how our future can be managed in a resilient and sustainable way. This book can present only a few very first steps towards this ambitious goal. However, based on simple models of social interactions, one can already gain some surprising insights into the social, ``macro-level'' outcomes and dynamics that is implied by individual, ``micro-level'' interactions. Depending on the nature of these interactions, they may imply the spontaneous formation of social conventions or the birth of social cooperation, but also their sudden breakdown. This can end in deadly crowd disasters or tragedies of the commons (such as financial crises or environmental destruction). Furthermore, we demonstrate that classical modeling approaches (such as representative agent models) do not provide a sufficient understanding of the self-organization in social systems resulting from individual interactions. The consideration of randomness, spatial or network interdependencies, and nonlinear feedback effects turns out to be crucial to get fundamental insights into how social patterns and dynamics emerge. Given the explanation of sometimes counter-intuitive phenomena resulting from these features and their combination, our evolutionary modeling approach appears to be powerful and insightful. The chapters of this book range from a discussion of the modeling strategy for socio-economic systems over experimental issues up the right way of doing agent-based modeling. We furthermore discuss applications ranging from pedestrian and crowd dynamics over opinion formation, coordination, and cooperation up to conflict, and also address the response to information, issues of systemic risks in society and economics, and new approaches to manage complexity in socio-economic systems. Selected parts of this book had been previously published in peer reviewed journals.

This report reviews international research into the barriers to play for children with disabilities. The authors come from different disciplinary backgrounds, in Sociology, Social Policy, Anthropology, Occupational Health and Education and bring different concerns to this review. They are united, however, in their adoption of a rights-based perspective. The UNCRC and UNCRPD emphasise the right to play for children with disabilities. Play is vital for child development. The problem of 'play deprivation' for many children with disabilities is very real. Yet the right to, and value of 'play for the sake of play', for fun and recreation, must not be forgotten in relation to the lives of children with disabilities. The focus in this report is upon barriers to play that exist beyond the minds and bodies of individual children, within a 'disabling' environment. Barriers include those associated with the design of the built environment, social attitudes and professional practices. The report maps an agenda for further research in this area, emphasising the need for participatory methodologies that capture the views and voices of children with disabilities, their friends and families, on this important issue of play. ABSTRACTING & INDEXING Barriers to Play and Recreation for Children and Young People with Disabilities is covered by the following services: Baidu Scholar DOAB (Directory of Open Access Books) EBSCO Discovery Service Google Scholar J-Gate Naviga (Softweco) Primo Central (ExLibris) ReadCube Semantic Scholar Summon (ProQuest) TDOne (TDNet) WorldCat (OCLC)

Measuring research impact and engagement is a much debated topic in the UK and internationally. This book is the first to provide a critical review of the research impact agenda, situating it within international efforts to improve research utilisation. Using empirical data, it discusses research impact tools and processes for key groups such as academics, research funders, 'knowledge brokers' and research users, and considers the challenges and consequences of incentivising and rewarding particular articulations of research impact. It draws on wide ranging qualitative data, combined with theories about the science-policy interplay and audit regimes to suggest ways to improve research impact.

Biophysical Measurement in Experimental Social Science Research is an ideal primer for the experimental social scientist wishing to update their knowledge and skillset in the area of laboratory-based biophysical measurement. Many behavioral laboratories across the globe have acquired increasingly sophisticated biophysical measurement equipment, sometimes for particular research projects or for financial or institutional reasons. Yet the expertise required to use this technology and integrate the measures it can generate on human subjects into successful social science research endeavors is often scarce and concentrated amongst a small minority of researchers. This book aims to open the door to wider and more productive use of biophysical measurement in laboratory-based experimental social science research. Suitable for doctoral students through to established researchers, the volume presents examples of the successful integration of biophysical measures into analyses of human behavior, discussions of the academic and practical limitations of laboratory-based biophysical measurement, and hands-on guidance about how different biophysical measurement devices are used. A foreword and concluding chapters comprehensively synthesize and compare biophysical measurement options, address academic, ethical and practical matters, and address the broader historical and scientific context. Research chapters demonstrate the academic potential of biophysical measurement ranging fully across galvanic skin response, heart rate monitoring, eye tracking and direct neurological measurements. An extended Appendix showcases specific examples of device adoption in experimental social science lab settings.

This open access book addresses three themes which have been central to Leydesdorff's research: (1) the dynamics of science, technology, and innovation; (2) the scientometric operationalization of these concept; and (3) the elaboration in terms of a Triple Helix of university-industry-government relations. In this study, I discuss the relations among these themes. Using Luhmann's social-systems theory for modelling meaning processing and Shannon's theory for information processing, I show that synergy can add new options to an innovation system as redundancy. The capacity to develop new options is more important for innovation than past performance. Entertaining a model of possible future states makes a knowledge-based system increasingly anticipatory. The trade-off between the incursion of future states on the historical developments can be measured using the Triple-Helix synergy indicator. This is shown, for example, for the Italian national and regional systems of innovation.

Black Participatory Research explores research partnerships that disrupt inequality, create change, and empower racially marginalized communities. Through presenting a series of co-reflections from professional and community researchers in different locations, this book explores the conflicts and tensions that emerge when professional interests, class and socio-economic statuses, age, geography, and cultural and language differences emerge alongside racial identity as central ways of seeing and being ourselves. Through the investigations of black researchers who collaborated in participatory research projects in post-Katrina New Orleans, USA the greater Philadelphia-New Jersey-Delaware region in the northeastern USA, and Senegal, West Africa, this book offers candid reflections of how shared identity, experiences, and differences shape the nature and process of participatory research.

There are two narratives of the American class structure: one of a country with boundless opportunities for upward mobility and one of a rigid class system in which the rich stay rich while the poor stay poor. Each of these narratives holds some truth, but each overlooks another. In Privilege Lost, Jessi Streib traces the lives of over 100 youth born into the upper-middle-class. Following them for over ten years as they transition from teens to young adults, Streib examines who falls from the upper-middle-class, how, and why don't they see it coming. In doing so, she reveals the patterned ways that individuals' resources and identities push them onto mobility paths-and the complicated choices youth make between staying true to themselves and staying in their class position. Engaging and eye-opening, Privilege Lost brings to life the stories of the downwardly mobile and highlights what they reveal about class, privilege, and American family life.

This book explores the issue of social exclusion. It asks three main questions: How can social exclusion be measured? What are its main determinants or influences? And what policies can reduce social exclusion? The authors aim to consider how a focus on social exclusion may alter the policy questions that are most relevant by fostering debate in government, research, and academic circles.

This book provides innovative insights into how creativity can be taught within higher education. Preparing students for employment in a dynamic set of global creative industries requires those students to not only be resilient and entrepreneurial, but also to be locally focused while being globally aware. Therefore it is imperative that they acquire a thorough understanding of creative processes and practice as they try to keep pace with worldwide digital trends. As the creation of media messages is a fundamental aspect of global creative industries, and that numerous concerns practitioners face are based upon a certain understanding of creativity, the authors propose an exploration of what creativity is in terms of research, and then apply it pedagogically. Drawing on extensive empirical research, the authors pose the thought-provoking question of whether creativity can be taught. This volume will be of interest to both students and scholars of creativity and higher education as well as to creatively-based practitioners more widely.

Winner of the Association of Educational Computing and Technology (AECT) 2018 Design and Development Outstanding Book Award Educators and researchers worldwide are confronted by a tantalizing challenge - how should contemporary technologies be used to enhance learning? This book provides a broad academic and teaching audience with an integrated understanding of learning technology research, and how it can be used to enhance the design of learning environments. Whereas some books focus exclusively on research relating to learning technology and others propose ways to use technology effectively, this book synthesises research for the purpose of informing best practice. After laying pedagogical, technological and content foundations, it examines research relating to the educational use of Web 2.0, social networking, mobile devices and virtual worlds. Analysis across these contexts leaves readers with a nuanced understanding of how technology-enhanced learning design principles may (or may not) be abstracted across different learning technology environments. Providing an integrated portrayal of learning technology research enables educators (academics, school teachers, pre-service teachers and educational designers) to immediately adopt evidence-based approaches in their teaching. The comprehensive synthesis of the literature also helps learning technology researchers to more clearly identify the interrelationships between different areas of learning technology research, as well as position their work amongst the practical problems of the field. Rich with examples, this book is suitable for those who want to adopt a design-based and research-driven approach to enhancing learning using technology.

This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena. Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the life and social sciences. The software packages used in the papers are made available by the authors. This book is a result of the 47th Scientific Meeting of the Italian Statistical Society, held at the University of Cagliari, Italy, in 2014.

This book constitutes an up-to-date methodology reference work for International Relations (IR) scholars and students. The study of IR calls for the use of multiple and various tools to try and describe international phenomena, analyze and understand them, compare them, interpret them, and try to offer theoretical approaches. In a nutshell, doing research in IR requires both tools and methods-from the use of archives to the translation of results through mapping, from conducting interviews to analyzing quantitative data, from constituting a corpus to the always touchy interpretation of images and discourses. This volume assembles twenty young researchers and professors in the field of IR and political science to discuss numerous rich and thoroughly explained case studies. Merging traditional political science approaches with methods borrowed from sociology and history, it offers a clear and instructive synthesis of the main resources and applied methods to study International Relations.

This book examines some of the major and most commonly used methods and statistics necessary for social science research. It is meant primarily for the beginners, and hence does not require any prior training in research methodology or statistics. The methods discussed include aggregate data analysis, the method of survey research, experimental and quasi-experimental research designs, participant observation, content analysis, and focus groups study. In a separate chapter the issue of quantitative and qualitative research methods and their uses has been discussed. An attempt has been made to assess these methods especially from the point of view of their adoption and application by social scientists working in the developing economies. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)

The seventh edition of this frequently adopted textbook features new or expanded sections on social justice research, data analysis software, scholarly identity research, social networking, data science, and data visualization, among other topics. It continues to include discipline experts' voices. The revised seventh edition of this popular text provides instruction and guidance for professionals and students in library and information science who want to conduct research and publish findings, as well as for practicing professionals who want a broad overview of the current literature. Providing a broad introduction to research design, the authors include principles, data collection techniques, and analyses of quantitative and qualitative methods, as well as advantages and limitations of each method and updated bibliographies. Chapters cover the scientific method, sampling, validity, reliability, and ethical concerns along with quantitative and qualitative methods. LIS students and professionals will consult this text not only for instruction on conducting research but also for guidance in critically reading and evaluating research publications, proposals, and reports. As in the previous edition, discipline experts provide advice, tips, and strategies for completing research projects, dissertations, and theses; writing grants; overcoming writer's block; collaborating with colleagues; and working with outside consultants. Journal and book editors discuss how to publish and identify best practices and understudied topics, as well as what they look for in submissions. Features new or expanded sections on social justice research; virtual collaboration, data collection, and dissemination; scholarly communication; computer-assisted qualitative and quantitative data analysis; scholarly identity research and guidelines; data science; and visualization of quantitative and qualitative data Provides a broad and comprehensive overview and update, especially of research published over the past five years Highlights school, public, and academic research findings Relies on the coauthors' expertise in research design, securing grant funding, and using the latest technology and data analysis software

In this co-edited volume, Gladys L. Mitchell-Walthour and Elizabeth Hordge-Freeman have invited contributors of African descent from the United States and Brazil to reflect on their multidimensional experiences in the field as researchers, collaborators, and allies to communities of color. Contributors promote an interdisciplinary perspective, as they represent the fields of sociology, political science, anthropology, and the humanities. They engage W.E.B. Du Bois' notion of 'second-sight,' which suggests that the unique positionality of Black researchers might provide them with advantages in their empirical observations and knowledge production. They expose the complex and contradictory efforts, discourses, and performances that Black researchers must use to implement and develop their community-centered research agenda. They illustrate that 'second-sight' is not inevitable but must be worked at and is sometimes not achieved in certain research and cultural contexts.

Behavioral, biobehavioral, and biomedical interventions are programs with the objective of improving and maintaining human health and well-being, broadly defined, in individuals, families, schools, organizations, or communities. These interventions may be aimed at, for example, preventing or treating disease, promoting physical and mental health, preventing violence, or improving academic achievement. This book provides additional information on a principled empirical framework for developing interventions that are more effective, efficient, economical, and scalable. This framework is introduced in the monograph, "Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST)" by Linda M. Collins (Springer, 2018). The present book is focused on advanced topics related to MOST. The chapters, all written by experts, are devoted to topics ranging from experimental design and data analysis to development of a conceptual model and implementation of a complex experiment in the field. Intervention scientists who are preparing to apply MOST will find this book an important reference and guide for their research. Fields to which this work pertains include public health (medicine, nursing, health economics, implementation sciences), behavioral sciences (psychology, criminal justice), statistics, and education.

This book demonstrates different statistical techniques for analyzing health-related data as well as providing new techniques for forecasting and/or projecting the incidence of diseases/disorders. It presents information on a variety of health related issues from the developed and developing world. Featuring cutting edge research from distinguished applied demographers and public health specialists, the book bridges the gap between theory and research. Each chapter provides methods and materials that can be used to conduct further research aimed at promoting public health issues. This book is intended for public health professionals, health policy makers, social epidemiologists, administrators, researchers, and students in the fields of applied demography and public health who are interested in exploring the potential of ground-breaking research or who want to further develop their existing research techniques. It complements another volume in the Applied Demography Series, Applied Demography and Public Health (Springer, 2013), which describes how applied demographic techniques can be used to help address public health issues.

This major new work from the well-known team of Heath, Jowell and Curtice explores the emergence of New Labour from the ruins of old Labour's four successive defeats at the hands of the Conservatives. Based on the authoritative British Election Surveys the book explores some of the key questions about contemporary British elections and the social and political factors that decide their outcomes.

The book celebrates the centenary of Biometrika, one of the world's leading academic journals in statistical theory and methodology by collating two sets of papers from the journal. One set consists of seven articles that review the journal's contribution to statistical science; the other set contains ten seminal papers from the journals first hundred years. The book opens with an introduction by the editors Professor D.M. Titterington and Sir David Cox.

Autoethnography is a unique discipline which steps inside and outside the self to experience, embody and express social and cultural meaning. At once a performative, political and poetic genre of research writing, it holds the potential to uncover the 'heart of the world', if only for a moment. The author uses theory as story and story as theory to explore her place in the world through painstaking and intimate self and social narratives to lay bare the unique challenges and rewards of autoethnography. Framed around the metaphor of 'heartlines', the author explores autoethnographic practice as critical feminist and decolonial work and the power it holds for not only imagining a wise, ethical and loving world, but for making such a kind place possible. Through a performative journey of the heart, we travel with the author as she unearths the power of words, of writing and not-writing, evoking in particular the work of Helene Cixous and Virginia Woolf. This reflective, passionate and pioneering volume will be of interest and value to all those interested in autoethnography and the ways in which it can be applied as critical, ethical and political work in the social sciences.

This authoritative handbook reviews the most widely-used methods for studying the use and abuse of alcohol and illegal drugs. Its thorough coverage spans the range of quantitative, qualitative, and mixed-method approaches to documenting and measuring the complex psychological, behavioral, and physical experience of substance misuse and dependence, to ensure valid, useful results. Experts discuss special issues and considerations for conducting ethical research with specialized populations, including youth, inmates, and the LGBT community. Throughout these chapters, contributors demonstrate the multidisciplinary nature of substance abuse research, with emphasis on professional ethics and the critical role of research in developing best practices and effective policy for prevention and treatment. Among the topics covered: * Transdisciplinary research perspective: a theoretical framework for substance abuse research * Longitudinal methods in substance use research * Considerations in blending qualitative and quantitative components in substance abuse research * The use of biological measures in social research on drug misuse * Using surveys to study substance use behavior * Applications of GIS to inform substance abuse research and interventions * Evaluating substance use prevention and treatment programs Research Methods in the Study of Substance Abuse is an essential resource for health services and public health professionals, policymakers, and researchers working and training in the field of addiction. It encourages the rigor and understanding necessary to address widespread social and public health concerns.

This volume is a critical exposition of the data and analyses from a full decade of rigorous research into how age-related changes at the individual level, along with other factors, contribute to morbidity, disability and mortality risks at the broader population level. After summarizing the state of our knowledge in the field, individual chapters offer enlightening discussion on a range of key topics such as age trajectory analysis in select and general populations, incidence/age patterns of major chronic illnesses, and indices of cumulative deficits and their use in characterizing and understanding the detailed properties of individual aging. The book features comprehensive statistical analyses of unique longitudinal data sets including the unique resource of the Framingham Heart Study, with its more than 60 years of follow-up. Culminating in penetrating conclusions about the insights gained from the work involved, this book adds much to our understanding of the links between aging and human health.

The Handbook series provides a compendium of thorough and integrative literature reviews on a diverse array of topics of interest to the higher education scholarly and policy communities. Each chapter provides a comprehensive review of research findings on a selected topic, critiques the research literature in terms of its conceptual and methodological rigor, and sets forth an agenda for future research intended to advance knowledge on the chosen topic.

This open access book presents a ground-breaking approach to developing micro-foundations for demography and migration studies. It offers a unique and novel methodology for creating empirically grounded agent-based models of international migration - one of the most uncertain population processes and a top-priority policy area. The book discusses in detail the process of building a simulation model of migration, based on a population of intelligent, cognitive agents, their networks and institutions, all interacting with one another. The proposed model-based approach integrates behavioural and social theory with formal modelling, by embedding the interdisciplinary modelling process within a wider inductive framework based on the Bayesian statistical reasoning. Principles of uncertainty quantification are used to devise innovative computer-based simulations, and to learn about modelling the simulated individuals and the way they make decisions. The identified knowledge gaps are subsequently filled with information from dedicated laboratory experiments on cognitive aspects of human decision-making under uncertainty. In this way, the models are built iteratively, from the bottom up, filling an important epistemological gap in migration studies, and social sciences more broadly.