Overview
- Explores on which issues to cover when doing social simulation for a crisis
- How do abstract social psychological models allow for building many scenarios
- Provides insights in the behavioural component of the COVID-19 crisis
Part of the book series: Computational Social Sciences (CSS)
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About this book
This book describes how a simulation framework was created for the COVID-19 crisis, and demonstrates how it was used to simulate a wide range of scenarios that were relevant for decision makers at the time. It also discusses the usefulness of the approach, and explains the decisions that had to be made along the way as well as the trade-offs. Lastly, the book examines the lessons learned and the directions for the further development of social simulation frameworks to make them better suited to crisis situations, and to foster a more resilient society.
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Keywords
Table of contents (16 chapters)
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Scenario’s
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Results and Lessons Learned
Editors and Affiliations
About the editor
Dignum received his PhD in 1989 from the VU University Amsterdam. He started his academic career as assistant professor and chair of the department of Computer Science at the University of Swaziland in 1990. In 1992 he moved back to Portugal and became assistant professor at the Instituto Superior Técnico in Lisbon. After coming back in the Netherlands in 1993 as assistant professor at Eindhoven University of Technology, in 2000 he was appointed Associate professor at the Department of Information and Computing Sciences of the Utrecht University.
Bibliographic Information
Book Title: Social Simulation for a Crisis
Book Subtitle: Results and Lessons from Simulating the COVID-19 Crisis
Editors: Frank Dignum
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-030-76397-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-76396-1Published: 09 June 2021
Softcover ISBN: 978-3-030-76399-2Published: 10 June 2022
eBook ISBN: 978-3-030-76397-8Published: 08 June 2021
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: XIV, 453
Number of Illustrations: 15 b/w illustrations, 155 illustrations in colour
Topics: Computer Applications, Graph Theory, Complex Systems, Biotechnology, Epidemiology