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(Ebook) Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform by Petra Ahrweiler; Nigel Gilbert; Andreas Pyka ISBN 9781443892391, 1443892394

  • SKU: EBN-51572722
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Instant download (eBook) Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform after payment.
Authors:Petra Ahrweiler; Nigel Gilbert; Andreas Pyka
Pages:451 pages.
Year:2016
Editon:1
Publisher:Cambridge Scholars Publishing
Language:english
File Size:6.25 MB
Format:pdf
ISBNS:9781443892391, 1443892394
Categories: Ebooks

Product desciption

(Ebook) Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform by Petra Ahrweiler; Nigel Gilbert; Andreas Pyka ISBN 9781443892391, 1443892394

This book explores how complexity science and social simulation can be used to improve and inform policy-making in both research and innovation. Beginning with an introduction to conceptual definitions of complexity science and social simulation, the book demonstrates the validity of the underlying integrated research framework used throughout. It is then divided into two parts, with the first investigating the effects and impacts of policy making on the structure, composition and outputs of research and innovation networks using the agent-based SKIN platform (Simulating Knowledge Dynamics in Innovation Networks, http://cress.soc.surrey.ac.uk/SKIN/). The second half of the book discusses a research initiative funded by the Irish government focusing on innovation policy simulation for economic recovery. This consists of empirical research on Irish research and innovation networks, and SKIN-based simulations of technology transfer issues and the commercialization of research in areas with high potential for innovation and economic growth. The book concludes with reflections on the maturity and utility of an approach combining complexity science and social simulation for research and innovation policy. Joining Complexity Science and Social Simulation for Innovation Policy will be of particular interest to scientists concerned with innovation and complex systems, including economists, sociologists, and complexity researchers, as well as students and practitioners, such as innovation policymakers and innovation business managers.
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