This book provides a clear, concise and readable introduction to complexity thinking, its application to the social sciences and public policy, and the relevance of its tools to politics, health, the international realm, development, planning and terrorism.

'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

Complexity theory has become popular in the natural and social sciences over the last few decades as a result of the advancements in our understanding of the complexities in natural and social phenomena. Concepts and methods of complexity theory have been applied by scholars of public affairs in North America and Europe, but a comprehensive framework for these applications is lacking. A Complexity Theory for Public Policy proposes a conceptual synthesis and sets a foundation for future developments and applications. In this book, Göktuğ Morçöl convincingly makes the case that complexity theory can help us understand better the self-organizational, emergent, and co-evolutionary characteristics of complex policy systems. In doing so, he discuss the epistemological implications of complexity theory and the methods complexity researchers use, and those methods they could use. As the complexity studies spread more around the world in the coming decades, the contents of this book will become appealing to larger audiences, particularly to scholars and graduate students in public affairs. The unique combination of synthesis and explanation of concepts and methods found in this book will serve as reference frames for future works.

This book provides a clear, concise and readable introduction to complexity thinking, its application to the social sciences and public policy, and the relevance of some of its various tools to those fields of politics, health, the international realm, development, planning and terrorism. The authors argue that the foundation for many of the current crises in these areas can be traced to the attempt by social scientists and policy-makers to treat these systems and processes as fundamentally orderly, predictable and controllable. By providing an overview of complex systems, a practical introduction to basic concepts and tools of these systems, and examples for understanding and managing them in real life policy situations they provide an exciting new perspective for rethinking our basic approaches to the social sciences and for understanding and managing the increasingly interdependent world of public policy. The book is vital reading for students and scholars of the social sciences and public policy, and also policymakers and the policy actor audience.

This book reframes theoretical, methodological and practical approaches to public administration by drawing on complexity theory concepts. It aims to provide alternative perspectives on the theory, research and practice of public administration, avoiding assumptions of traditional theory-building. The contributors explain both how ongoing non-linear interactions result in macro patterns becoming established in a complexity-informed world view, and the implications of these dynamics. Complexity theory explains the way in which many repeated non-linear interactions among elements within a whole can result in processes and patterns emerging without design or direction, thus necessitating a reconsideration of the predictability and controllability of many aspects of public administration. As well as illustrating how complexity theory informs new research methods for studying this field, the book also shines a light on the different practices required of public administrators to cope with the complexity encountered in the public policy and public management fields. This book was originally published as a special issue of the Public Management Review journal.

How ideas in complexity can be used to develop more effective public policy Complexity science—made possible by modern analytical and computational advances—is changing the way we think about social systems and social theory. Unfortunately, economists' policy models have not kept up and are stuck in either a market fundamentalist or government control narrative. While these standard narratives are useful in some cases, they are damaging in others, directing thinking away from creative, innovative policy solutions. Complexity and the Art of Public Policy outlines a new, more flexible policy narrative, which envisions society as a complex evolving system that is uncontrollable but can be influenced. David Colander and Roland Kupers describe how economists and society became locked into the current policy framework, and lay out fresh alternatives for framing policy questions. Offering original solutions to stubborn problems, the complexity narrative builds on broader philosophical traditions, such as those in the work of John Stuart Mill, to suggest initiatives that the authors call "activist laissez-faire" policies. Colander and Kupers develop innovative bottom-up solutions that, through new institutional structures such as for-benefit corporations, channel individuals’ social instincts into solving societal problems, making profits a tool for change rather than a goal. They argue that a central role for government in this complexity framework is to foster an ecostructure within which diverse forms of social entrepreneurship can emerge and blossom.

In an era of rapid change, uncertainty, and hyperpartisanship, when wicked problems abound, tools for solving public problems are more essential than ever. The authors lay out a new theory for collaborative practice in planning, public administration, and public policy. Planning with Complexity provides both theoretical underpinnings and extensive case material on collaboration and offers ways of understanding and conducting effective practice. Collaborative rationality means collaboration that is inclusive, informed, grounded in authentic dialogue, and that results in wise and durable outcomes. The scholar-practitioner author team builds on more than 40 years of research, teaching, and practice addressing environmental issues, housing, and transportation. This second edition updates the case studies and adds new examples reflecting the global spread of collaborative practices. It builds on insights that have recently emerged in the literature. More than 75 new references have been incorporated, along with new tables. This book is essential for students, educators, scholars, and reflective practitioners in public policy fields in the 21st century.

I think this is a very important book. Very few people in the social sciences write books on this topic and really do justice to complexity theory. Professor Room gives a very detailed, accurate and accessible review of complexity theory as it applies to social policy. His link with institutional theory is very appropriate and his discussion on the need for regulation (a link with complexity theory that many people would never reach) is really important and well grounded. It would be of interest to academics who really want to understand the implications of complexity theory for policy making in complex and fast-changing situations and to those undertaking advanced courses in politics, economics and sociology. - Jean Boulton, University of Cranfield, UK Graham Room argues that conventional approaches to the conceptualisation and measurement of social and economic change are unsatisfactory. As a result, researchers are ill-equipped to offer policy advice. This book offers a new analytical approach, combining complexity science and institutionalism. It also provides tools for policy makers in turbulent times. Part 1 is concerned with the conceptualisation of socio-economic change. It integrates complexity science and institutionalism into a coherent ontology of social and policy dynamics. Part 2 is concerned with models and measurement. It combines some of the principal approaches developed in complexity analysis with models and methods drawn from mainstream social and political science. Part 3 offers empirical applications to public policy: the dynamics of social exclusion; the social dimension of knowledge economies; the current financial and economic crisis. These are supplemented by a toolkit for the practice of agile policy making.

Complexity theory has become popular in the natural and social sciences over the last few decades as a result of the advancements in our understanding of the complexities in natural and social phenomena. Concepts and methods of complexity theory have been applied by scholars of public affairs in North America and Europe, but a comprehensive framework for these applications is lacking. A Complexity Theory for Public Policy proposes a conceptual synthesis and sets a foundation for future developments and applications. In this book, Göktuğ Morçöl convincingly makes the case that complexity theory can help us understand better the self-organizational, emergent, and co-evolutionary characteristics of complex policy systems. In doing so, he discuss the epistemological implications of complexity theory and the methods complexity researchers use, and those methods they could use. As the complexity studies spread more around the world in the coming decades, the contents of this book will become appealing to larger audiences, particularly to scholars and graduate students in public affairs. The unique combination of synthesis and explanation of concepts and methods found in this book will serve as reference frames for future works.

This book is an outcome of the interdisciplinary conference held at OP Jindal Global University (Quantum Decision-making and Complexity modeling, and their possible applications in social sciences- economics, finance and public policy). The volume builds upon the emerging fields of Econophysics, Complexity theory and Quantum like modelling in cognition and social sciences, and their plausible applications in economics and public policy. There can be deep linkages between the micro, meso and macro scales at which these paradigms operate. In this data-driven age, greater amounts of information, along with the facility to harvest, sort and process said information, have permitted an expansion of the capability to study a society’s various factors to a degree of detail and inclusiveness that has never before been available to researchers. As a result, an increasing number of throughlines is being discovered, revealing heretofore unknown connections between various disciplines and enhancing the study of such societal tropes as finance, language, shared behavior, and many others. As the reader will see, with clearer understanding of the interconnectedness of society’s assorted parts comes a clearer understanding of the society as a whole. We have received critical thoughts from noted experts in social and natural sciences to explore possible interconnections. The editors of this book earnestly hope that the critical reviews presented in this volume will stimulate further scholarly interest, but also interest among policy practitioners for the purpose of exploring possibilities for creating a new paradigm for comprehending pressing issues of deep uncertainty and emergence in social dynamics.