Joining Complexity Science and Social Simulation for Innovation Policy :: Agent-based Modelling using the SKIN Platform /
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...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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[Place of publication not identified]
Cambridge Scholars Publishing,
2016.
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| Ausgabe: | 1st ed. |
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| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | Title from content provider. |
| Beschreibung: | 1 online resource |
| ISBN: | 9781443892391 1443892394 144388460X 9781443884600 |
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| 505 | 0 | |a Intro -- Table of Contents -- Acknowledgements -- Introduction -- Part I: Challenges of Research and Innovation Policy -- Chapter One -- Chapter Two -- Part II: Applying Conventional Quantitative Methods in Innovation Research -- Chapter Three -- Chapter Four -- Part III: Complexity Science, Social Simulation and Innovation -- Chapter Five -- Chapter Six -- Chapter Seven -- Part IV: Case Study: Innovation Policy in Ireland -- Chapter Eight -- Chapter Nine -- Chapter Ten -- Chapter Eleven -- Part V: Future Research Issues in Complexity Science and Social Simulation -- Chapter Twelve -- Chapter Thirteen -- Conclusion -- Contributors -- List of Figures and Tables. | |
| 520 | |a 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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| contents | Intro -- Table of Contents -- Acknowledgements -- Introduction -- Part I: Challenges of Research and Innovation Policy -- Chapter One -- Chapter Two -- Part II: Applying Conventional Quantitative Methods in Innovation Research -- Chapter Three -- Chapter Four -- Part III: Complexity Science, Social Simulation and Innovation -- Chapter Five -- Chapter Six -- Chapter Seven -- Part IV: Case Study: Innovation Policy in Ireland -- Chapter Eight -- Chapter Nine -- Chapter Ten -- Chapter Eleven -- Part V: Future Research Issues in Complexity Science and Social Simulation -- Chapter Twelve -- Chapter Thirteen -- Conclusion -- Contributors -- List of Figures and Tables. |
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| spelling | Ahrweiler, Petra. Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform / Ahrweiler, Petra. 1st ed. [Place of publication not identified] Cambridge Scholars Publishing, 2016. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Title from content provider. Intro -- Table of Contents -- Acknowledgements -- Introduction -- Part I: Challenges of Research and Innovation Policy -- Chapter One -- Chapter Two -- Part II: Applying Conventional Quantitative Methods in Innovation Research -- Chapter Three -- Chapter Four -- Part III: Complexity Science, Social Simulation and Innovation -- Chapter Five -- Chapter Six -- Chapter Seven -- Part IV: Case Study: Innovation Policy in Ireland -- Chapter Eight -- Chapter Nine -- Chapter Ten -- Chapter Eleven -- Part V: Future Research Issues in Complexity Science and Social Simulation -- Chapter Twelve -- Chapter Thirteen -- Conclusion -- Contributors -- List of Figures and Tables. 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. Social sciences Computer simulation. Sciences sociales Simulation par ordinateur. SOCIAL SCIENCE Essays. bisacsh SOCIAL SCIENCE Reference. bisacsh Social sciences Computer simulation fast Gilbert, Nigel. Pyka, Andreas. has work: Joining complexity science and social simulation for innovation policy (Text) https://id.oclc.org/worldcat/entity/E39PCFPWMHCbVq36VmBq7B8FTd https://id.oclc.org/worldcat/ontology/hasWork Print version: Joining complexity science and social simulation for innovation policy : agent-based modelling using the skin platform. Newcastle upon Tyne, England : Cambridge Scholars Publishing, ©2016 xix, 431 pages 9781443884600 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1258169 Volltext |
| spellingShingle | Ahrweiler, Petra Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform / Intro -- Table of Contents -- Acknowledgements -- Introduction -- Part I: Challenges of Research and Innovation Policy -- Chapter One -- Chapter Two -- Part II: Applying Conventional Quantitative Methods in Innovation Research -- Chapter Three -- Chapter Four -- Part III: Complexity Science, Social Simulation and Innovation -- Chapter Five -- Chapter Six -- Chapter Seven -- Part IV: Case Study: Innovation Policy in Ireland -- Chapter Eight -- Chapter Nine -- Chapter Ten -- Chapter Eleven -- Part V: Future Research Issues in Complexity Science and Social Simulation -- Chapter Twelve -- Chapter Thirteen -- Conclusion -- Contributors -- List of Figures and Tables. Social sciences Computer simulation. Sciences sociales Simulation par ordinateur. SOCIAL SCIENCE Essays. bisacsh SOCIAL SCIENCE Reference. bisacsh Social sciences Computer simulation fast |
| title | Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform / |
| title_auth | Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform / |
| title_exact_search | Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform / |
| title_full | Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform / Ahrweiler, Petra. |
| title_fullStr | Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform / Ahrweiler, Petra. |
| title_full_unstemmed | Joining Complexity Science and Social Simulation for Innovation Policy : Agent-based Modelling using the SKIN Platform / Ahrweiler, Petra. |
| title_short | Joining Complexity Science and Social Simulation for Innovation Policy : |
| title_sort | joining complexity science and social simulation for innovation policy agent based modelling using the skin platform |
| title_sub | Agent-based Modelling using the SKIN Platform / |
| topic | Social sciences Computer simulation. Sciences sociales Simulation par ordinateur. SOCIAL SCIENCE Essays. bisacsh SOCIAL SCIENCE Reference. bisacsh Social sciences Computer simulation fast |
| topic_facet | Social sciences Computer simulation. Sciences sociales Simulation par ordinateur. SOCIAL SCIENCE Essays. SOCIAL SCIENCE Reference. Social sciences Computer simulation |
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