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            Non-Equilibrium Social Science and Policy

            Introduction and Essays on New and Changing Paradigms in Socio-Economic Thinking

            Thumbnail
            Contributor(s)
            Johnson, Jeffrey (editor)
            Nowak, Andrzej (editor)
            Ormerod, Paul (editor)
            Rosewell, Bridget (editor)
            Zhang, Yi-Cheng (editor)
            Language
            English
            Show full item record
            Abstract
            The overall aim of this book, an outcome of the European FP7 FET Open NESS project, is to contribute to the ongoing effort to put the quantitative social sciences on a proper footing for the 21st century. A key focus is economics, and its implications on policy making, where the still dominant traditional approach increasingly struggles to capture the economic realities we observe in the world today - with vested interests getting too often in the way of real advances. Insights into behavioral economics and modern computing techniques have made possible both the integration of larger information sets and the exploration of disequilibrium behavior. The domain-based chapters of this work illustrate how economic theory is the only branch of social sciences which still holds to its old paradigm of an equilibrium science - an assumption that has already been relaxed in all related fields of research in the light of recent advances in complex and dynamical systems theory and related data mining. The other chapters give various takes on policy and decision making in this context. Written in nontechnical style throughout, with a mix of tutorial and essay-like contributions, this book will benefit all researchers, scientists, professionals and practitioners interested in learning about the 'thinking in complexity' to understand how socio-economic systems really work.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/179132
            Keywords
            Data-driven Science, Modeling and Theory Building; Methodology of the Social Sciences; Economic Theory/Quantitative Economics/Mathematical Methods; Operations Research/Decision Theory; Complexity; Computational Social Sciences; Complex Systems; Biotechnology; Quantitative Economics; Operations Research and Decision Theory; Applied Dynamical Systems; Behavioral economics; Complex socio-economic systems; Econophysics and Social Dynamics; Information economy and policy informatics; Paradigm shift in economic thinking; Social dynamics in policy; Quantitative social sciences; Social research & statistics; Ecological science, the Biosphere; Economic theory & philosophy; Operational research; Management decision making; Cybernetics & systems theory; Computer applications in the social & behavioural sciences; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCA Economic theory and philosophy; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJT Operational research; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory; thema EDItEUR::J Society and Social Sciences
            DOI
            10.1007/978-3-319-42424-8
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            2017
            Imprint
            Springer International Publishing
            Series
            Understanding Complex Systems,
            Pages
            232
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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