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Joining Complexity Science And Social Simulation For Innovation Policy Agentbased Modelling Using The Skin Platform 1st Edition Petra Ahrweiler Nigel Gilbert Andreas Pyka

  • SKU: BELL-51572722
Joining Complexity Science And Social Simulation For Innovation Policy Agentbased Modelling Using The Skin Platform 1st Edition Petra Ahrweiler Nigel Gilbert Andreas Pyka
$ 31.00 $ 45.00 (-31%)

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Joining Complexity Science And Social Simulation For Innovation Policy Agentbased Modelling Using The Skin Platform 1st Edition Petra Ahrweiler Nigel Gilbert Andreas Pyka instant download after payment.

Publisher: Cambridge Scholars Publishing
File Extension: PDF
File size: 6.25 MB
Pages: 451
Author: Petra Ahrweiler; Nigel Gilbert; Andreas Pyka
ISBN: 9781443892391, 1443892394
Language: English
Year: 2016
Edition: 1

Product desciption

Joining Complexity Science And Social Simulation For Innovation Policy Agentbased Modelling Using The Skin Platform 1st Edition Petra Ahrweiler Nigel Gilbert Andreas Pyka by Petra Ahrweiler; Nigel Gilbert; Andreas Pyka 9781443892391, 1443892394 instant download after payment.

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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