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oapen-20.500.12657-428992020-11-14T01:45:03Z Non-Equilibrium Social Science and Policy Johnson, Jeffrey Nowak, Andrzej Ormerod, Paul Rosewell, Bridget Zhang, Yi-Cheng 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 bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology::JHBC Social research & statistics bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCA Economic theory & philosophy bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJT Operational research bic Book Industry Communication::G Reference, information & interdisciplinary subjects::GP Research & information: general::GPF Information theory::GPFC Cybernetics & systems theory bic Book Industry Communication::J Society & social sciences 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. 2020-11-13T13:34:21Z 2020-11-13T13:34:21Z 2017 book ONIX_20201113_9783319424248_5 https://library.oapen.org/handle/20.500.12657/42899 eng Understanding Complex Systems application/pdf n/a 2017_Book_Non-EquilibriumSocialScienceAn.pdf https://www.springer.com/9783319424248 Springer Nature Springer International Publishing 10.1007/978-3-319-42424-8 10.1007/978-3-319-42424-8 6c6992af-b843-4f46-859c-f6e9998e40d5 Springer International Publishing 232 open access
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English
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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.
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Springer Nature
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2020
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https://www.springer.com/9783319424248
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1771297560365891584
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