Joining Complexity Science and Social Simulation for Innovation Policy

2016-04-26

Author : Petra Ahrweiler
Release : 2016-04-26
Genre :
Kind : eBook
Book Rating : 394/5 ( reviews)

Book Synopsis Joining Complexity Science and Social Simulation for Innovation Policy by : Petra Ahrweiler

Download or read book Joining Complexity Science and Social Simulation for Innovation Policy written by Petra Ahrweiler. This book was released on 2016-04-26. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Joining Complexity Science and Social Simulation for Innovation Policy

2016 Social exchange

Author : Petra Ahrweiler
Release : 2016
Genre : Social exchange
Kind : eBook
Book Rating : 600/5 ( reviews)

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Book Synopsis Joining Complexity Science and Social Simulation for Innovation Policy by : Petra Ahrweiler

Download or read book Joining Complexity Science and Social Simulation for Innovation Policy written by Petra Ahrweiler. This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Social Simulation

2021-04-26 Technology & Engineering

Author : Petra Ahrweiler
Release : 2021-04-26
Genre : Technology & Engineering
Kind : eBook
Book Rating : 030/5 ( reviews)

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Book Synopsis Advances in Social Simulation by : Petra Ahrweiler

Download or read book Advances in Social Simulation written by Petra Ahrweiler. This book was released on 2021-04-26. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in social simulation as presented at the Social Simulation Conference 2019 in Mainz, Germany. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policymaking. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision-making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science and social simulation education. This book gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policymaking whereby modeling and the behavior of complex systems is key. The book appeals to students, researchers and professionals in the various fields.

Complexity Perspectives in Innovation and Social Change

2009-02-13 Social Science

Author : David Lane
Release : 2009-02-13
Genre : Social Science
Kind : eBook
Book Rating : 631/5 ( reviews)

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Book Synopsis Complexity Perspectives in Innovation and Social Change by : David Lane

Download or read book Complexity Perspectives in Innovation and Social Change written by David Lane. This book was released on 2009-02-13. Available in PDF, EPUB and Kindle. Book excerpt: Innovation is nowadays a question of life and death for many of the economies of the western world. Yet, due to our generally reductionist scientific paradigm, invention and innovation are rarely studied scientifically. Most work prefers to study its context and its consequences. As a result, we are as a society, lacking the scientific tools to understand, improve or otherwise impact on the processes of invention and innovation. This book delves deeply into that topic, taking the position that the complex systems approach, with its emphasis on ‘emergence’, is better suited than our traditional approach to the phenomenon. In a collection of very coherent papers, which are the result of an EU-funded four year international research team’s effort, it addresses various aspect of the topic from different disciplinary angles. One of the main emphases is the need, in the social sciences, to move away from neo-darwinist ‘population thinking’ to ‘organization thinking’ if we want to understand social evolution. Another main emphasis is on developing a generative approach to invention and innovation, looking in detail at the contexts within which invention and innovation occur, and how these contexts impact on the chances for success or failure. Throughout, the book is infused with interesting new insights, but also presents several well-elaborated case studies that connect the ideas with a substantive body of ‘real world’ information.

Innovation Networks for Regional Development

2016-09-29 Business & Economics

Author : Ben Vermeulen
Release : 2016-09-29
Genre : Business & Economics
Kind : eBook
Book Rating : 405/5 ( reviews)

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Book Synopsis Innovation Networks for Regional Development by : Ben Vermeulen

Download or read book Innovation Networks for Regional Development written by Ben Vermeulen. This book was released on 2016-09-29. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together original research on the role of networks in regional economic development and innovation. It presents a comprehensive framework synthesizing extant theories, a palette of real-world cases in the aerospace, automotive, life science, biotechnology and health care industries, and fundamental agent-based computer models elucidating the relation between regional development and network dynamics. The book is primarily intended for researchers in the fields of innovation economics and evolutionary economic geography, and particularly those interested in using agent-based models and empirical case studies. However, it also targets (regional) innovation policy makers who are not only interested in policy recommendations, but also want to understand the state-of-the-art agent-based modeling methods used to experimentally arrive at said recommendations.

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Joining Complexity Science and Social Simulation for Innovation Policy

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