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010   $a3-030-04786-5
024 7 $a10.1007/978-3-030-04786-3
035   $a(CKB)4100000007463702
035   $a(MiAaPQ)EBC5637232
035   $a(DE-He213)978-3-030-04786-3
035   $a(EXLCZ)994100000007463702
100   $a20190116d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSimulating Societal Change $eCounterfactual Modelling for Social and Policy Inquiry /$fby Peter Davis, Roy Lay-Yee
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $aix, 245 p
225 1 $aComputational Social Sciences,$x2509-9574
327   $aChapter1. Introduction -- Chapter2. Conceptual and Analytical Foundations -- Chapter3. SociaLab. A Dynamic Microsimulation Model -- Chapter4. Tracking Societal Change ? Its Major Components -- Chapter5. Data Preparation -- Chapter6. Statistical Analysis -- Chapter7. Simulation -- Chapter8. The ?Seven Ages?. A Framework for Social and Policy Issues -- Chapter9. Tracking Societal Change. Descriptive Results -- Chapter10. ?What If?? Counterfactual Modelling with SociaLab -- Chapter11. Conclusion.
330   $aThis book presents a method for creating a working model of society, using data systems and simulation techniques, that can be used for testing propositions of scientific and policy nature. The model is based on the example of New Zealand, but will be applicable to other countries. It is expected that collaborators in other countries can emulate this example with their data systems for teaching and policy purposes, producing a cross-national "collaboratory". This enterprise will evolve with, and to a degree independently of, the book itself, with a supporting website as well as teaching and scientific initiatives. Readers of this text will, for the first time, have a simulation-based working model of society that can be interrogated for policy and substantive purposes. This book will appeal to researchers and professionals from various disciplines working within the social sciences, particularly on matters of demography and public policy.
410  0$aComputational Social Sciences,$x2509-9574
606   $aSocial sciences?Data processing
606   $aSocial sciences?Computer programs
606   $aDemography
606   $aPublic policy
606   $aStatistics 
606   $aSociophysics
606   $aEconophysics
606   $aComputational Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X34000
606   $aDemography$3https://scigraph.springernature.com/ontologies/product-market-codes/X25000
606   $aPublic Policy$3https://scigraph.springernature.com/ontologies/product-market-codes/911060
606   $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040
606   $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030
615  0$aSocial sciences?Data processing.
615  0$aSocial sciences?Computer programs.
615  0$aDemography.
615  0$aPublic policy.
615  0$aStatistics .
615  0$aSociophysics.
615  0$aEconophysics.
615 14$aComputational Social Sciences.
615 24$aDemography.
615 24$aPublic Policy.
615 24$aStatistics for Social Sciences, Humanities, Law.
615 24$aData-driven Science, Modeling and Theory Building.
676   $a300.00285
676   $a303.4
700   $aDavis$b Peter$4aut$4http://id.loc.gov/vocabulary/relators/aut$0459459
702   $aLay-Yee$b Roy$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910337695903321
996   $aSimulating Societal Change$92518871
997   $aUNINA