In four parts, this book seeks to establish ‘the state of the art’ of complexity-informed social science as it stands now, examining:
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.
David Byrne is Professor of Sociology and Social Policy in the School of Applied Social Science, Durham University.
Gill Callaghanis Lecturer in Sociology in the School of Applied Social Science, Durham University.
John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.
Adam Smith, Immanuel Kant, Auguste Comte, and John Stuart Mill pursued this idea from different political perspectives. Little by little, however, social and political philosophy abandoned a "scientific" approach. Today, physics is enjoying a revival in the social, political and economic sciences. Ball shows how much we can understand of human behavior when we cease to try to predict and analyze the behavior of individuals and instead look to the impact of individual decisions-whether in circumstances of cooperation or conflict-can have on our laws, institutions and customs.
Lively and compelling, Critical Mass is the first book to bring these new ideas together and to show how they fit within the broader historical context of a rational search for better ways to live.
This refreshing and accessible book provides students with a novel and useful resource for doing quantitative research. It offers students a guide on how to: interpret the complex reality of the social world; achieve effective measurement; understand the use of official statistics; use social surveys; understand probability and quantitative reasoning; interpret measurements; apply linear modelling; understand simulation and neural nets; and integrate quantitative and qualitative modelling in the research process.
Jargon-free and written with the needs of students in mind, the book will be required reading for students interested in using quantitative research methods.