'The following sections are a very good representation of the core developments of complexity thinking in a number of major fields. Our intention is to provide an accessible interdisciplinary introduction to the wonderful intellectual breadth that complexity can offer.' - Jan Bogg and Robert Geyer in the Introduction. Complexity is a new and exciting interdisciplinary approach to science and society that challenges traditional academic divisions, frameworks and paradigms. This book helps the expert, student or policy practitioner have a better understanding of the enormous potential of complexity, and how it relates to their particular area of interest or expertise. It provides excellent representations of the core developments of complexity thinking in a number of major fields. "Complexity, Science and Society" brings together an unrivalled selection of new applications of complexity from leading experts across subjects including medicine and healthcare, education, public policy and social theory, ecology, philosophy, international politics, the arts, modelling and design, and others. Together they offer an unprecedented review of the latest developments. This book is an accessible interdisciplinary introduction to the wonderful intellectual breadth that complexity can offer.

This book explores how complexity science and social simulation can be used to improve and inform policy-making in both research and innovation. Beginning with an introduction to conceptual definitions of complexity science and social simulation, the book demonstrates the validity of the underlying integrated research framework used throughout. It is then divided into two parts, with the first investigating the effects and impacts of policy making on the structure, composition and outputs of research and innovation networks using the agent-based SKIN platform (Simulating Knowledge Dynamics in Innovation Networks, http://cress.soc.surrey.ac.uk/SKIN/). The second half of the book discusses a research initiative funded by the Irish government focusing on innovation policy simulation for economic recovery. This consists of empirical research on Irish research and innovation networks, and SKIN-based simulations of technology transfer issues and the commercialization of research in areas with high potential for innovation and economic growth. The book concludes with reflections on the maturity and utility of an approach combining complexity science and social simulation for research and innovation policy. Joining Complexity Science and Social Simulation for Innovation Policy will be of particular interest to scientists concerned with innovation and complex systems, including economists, sociologists, and complexity researchers, as well as students and practitioners, such as innovation policymakers and innovation business managers.

This book introduces a new approach to environmental sociology, by integrating complexity-informed social science, Marxian ecological theory, and resilience-based human ecology. It argues that sociologists have largely ignored developments in ecology which move beyond functionalist approaches to systems analysis, and as a result, environmental sociology has failed to capitalise not only on the analytical promise of resilience ecology, but on complementary developments in complexity theory. By tracing the origins and discussing current developments in each of these areas, it offers several paths to interdisciplinary dialogue. Eoin Flaherty argues that complexity theory and Marxian ecology can enhance our understanding of the social aspect of social-ecological systems, whilst a resilience approach can sharpen the analytical power of environmental sociology.

For the past two decades, ‘complexity’ has informed a range of work across the social sciences. There are diverse schools of complexity thinking, and authors have used these ideas in a multiplicity of ways, from health inequalities to the organization of large scale firms. Some understand complexity as emergence from the rule-based interactions of simple agents and explore it through agent-based modelling. Others argue against such ‘restricted complexity’ and for the development of case-based narratives deploying a much wider set of approaches and techniques. Major social theorists have been reinterpreted through a complexity lens and the whole methodological programme of the social sciences has been recast in complexity terms. In four parts, this book seeks to establish ‘the state of the art’ of complexity-informed social science as it stands now, examining: the key issues in complexity theory the implications of complexity theory for social theory the methodology and methods of complexity theory complexity within disciplines and fields. It also points ways forward towards a complexity-informed social science for the twenty-first century, investigating the argument for a post-disciplinary, ‘open’ social science. Byrne and Callaghan consider how this might be developed as a programme of teaching and research within social science. This book will be particularly relevant for, and interesting to, students and scholars of social research methods, social theory, business and organization studies, health, education, urban studies and development studies.

This textbook provides a grounding in complexity theory, demonstrating how it can influence and shape social work interventions in policy, management, and practice, as well as forming an epistemological and methodological basis for research. It provides a contemporary theoretical basis for social work practice, equipping social workers to work in a 21st-Century world. The authors argue that the history of social work demonstrates the profession's engagement with the social and structural problems of each era since its emergence 150 years ago. However, in the 21st Century, such things as globalisation, the COVID-19 pandemic, and climate change have highlighted that existing theories and practice models are insufficient to the task of working with the complicatedness of contemporary life in a fast-changing world. Distilling the central tenets of Complexity Theory and the notion of complex adaptive systems in partnership with pragmatism, the book provides practice perspectives and guidelines which build on social work's enduring commitment to understanding the person-in-context. The recognition that social workers require conceptual and theoretical agility to work across micro, meso and macro 'levels' remains central, but the argument is made that their focus and practice must primarily be at the meso level. The authorship of combined academic and practice expertise enables such perspectives to be brought to life through the theoretical and practical analysis of conceptual and 'real-world' challenges. The book consists of 13 chapters organized in three sections: Part I: Complex Practice in a Complex World Part II: Thinking Complexity in Practice Part III: Thinking Complexity in Public Policy, Research and Education Complexity Theory for Social Work Practice encourages social workers to 'think complexity' and 'act pragmatically'. It is intended for final-year social work students; academics and researchers working in a range of disciplines, primarily in the social work field but also in the areas of sociology, psychology and anthropology; and practitioners in policy, research, management and practice settings.

Embark on a riveting journey through the study of social complexity with The Atlas of Social Complexity. Over three decades of scientific exploration unfold, unravelling the enigmatic threads that compose the fabric of society. From the dance of bacteria, to human-machine interactions, to the ever-shifting dynamics of power in social networks, this Atlas maps the evolution of our understanding of social complexity.

Tackling one of the hottest topics in business today, experts share practical insights about how to finance, market, manage, and assess a social entrepreneurship venture to create a new organization that can do well and do good. Social entrepreneurship is the practice of using the mindset, tools, techniques, and processes of entrepreneurship to confront pressing social issues—an intriguing concept that American business is just beginning to understand. Social Entrepreneurship: How Businesses Can Transform Society brings together a group of expert contributors who offer the very latest thinking about the tremendous potential of this rapidly growing field. Unlike other books on the subject that tend to be merely descriptive and/or inspirational, this set comprises three hands-on, how-to volumes that dig deeply into the major factors that impact social entrepreneurship. Each volume addresses one of three important aspects of setting up and running a successful enterprise: legal/organizational structure; marketing; and performance measurement and management. The author examines root concepts in detail, and spotlights opportunities, challenges, and the considerations involved in implementation. Practitioners will especially appreciate the set's practical insights and the contributors' efforts to link theory to practice in a way that facilitates effective action.

Presents a foundational mathematical approach to the modelling of social conflict. This book illustrates how theory and evidence can be mathematically deepened and how investigations grounded in social choice theory can provide the evidence needed to inform social practice.

'Over recent years Complexity Science has revealed to us new limits to our possible knowledge and control in social, cultural and economic systems. Instead of supposing that past statistics and patterns will give us predictable outcomes for possible actions, we now know the world is, and will always be, creative and surprising. Continuous structural evolution within such systems may change the mechanisms, descriptors, problems and opportunities, often negating policy aims. We therefore need to redevelop our thinking about interventions, policies and policy making, moving perhaps to a humbler, more 'learning' approach. In this Handbook, leading thinkers in multiple domains set out these new ideas and allow us to understand how these new ideas are changing policymaking and policies in this new era.' - Peter M Allen, Cranfield University, UK

Explaining the chromatic methodology for the intelligent monitoring of complex systems, Chromatic Monitoring of Complex Conditions demonstrates that chromatic processing is analogous to human vision yet also extends into a wide range of nonoptical domains. Taking a practical approach that utilizes many examples and graphs, the book presen