Social Simulation for a Crisis : Results and Lessons from Simulating the COVID-19 Crisis / edited by Frank Dignum.

Format:

Book

Contributor:

Dignum, Frank., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Computational social sciences 2509-9582

Computational Social Sciences, 2509-9582

Language:

English

Subjects (All):

Application software.

Graph theory.

System theory.

Biotechnology.

Epidemiology.

Computer and Information Systems Applications.

Graph Theory.

Complex Systems.

Local Subjects:

Computer and Information Systems Applications.

Graph Theory.

Complex Systems.

Biotechnology.

Epidemiology.

Physical Description:

1 online resource (XIV, 453 pages) : 170 illustrations, 155 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

provisional info text: Simulating for a crisis is far more than creating a simulation of a crisis situation. In order for a simulation to be useful during a crisis, it should be created within the space of a few days to allow decision makers to use it as quickly as possible. Furthermore, during a crisis the aim is not to optimize just one factor, but to balance various, interdependent aspects of life. In the COVID-19 crisis, decisions had to be made concerning e.g. whether to close schools and restaurants, and the (economic) consequences of a 3 or 4-week lock-down had to be considered. As such, rather than one simulation focusing on a very limited aspect, a framework allowing the simulation of several different scenarios focusing on different aspects of the crisis was required. Moreover, the results of the simulations needed to be easily understandable and explainable: if a simulation indicates that closing schools has no effect, this can only be used if the decision makers can explain why this is the case. 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.

Contents:

Part 1. ASOCC Theory and Platform

Chapter 1. Introduction

Chapter 2. Foundations

Chapter 3. From Theories to Implementation

Chapter 4. Simulation Use

Part II. Scenario's and Submodels

Chapter 5. Closing of Schools

Chapter 6. Testing and Smart Testing

Chapter 7. Deployment and Effects of an App for Tracking and Tracing Contacts

Chapter 8. How Culture Influences the Management of a Pandemic: Simulating the Effect of Culture on the Effective Management of the COVID-19 crisis,- Chapter 9. Economics

Chapter 10. Exit Strategies

Part III. Results and Lessons Learned

Chapter 11. Extensible Model-Building in Crises

Chapter 12. Comparative Validation of Simulation Models for the COVID-19 Pandemic

Chapter 13. Supporting Policy Makers in a Crisis

Chapter 14. From Crisis to Resilience Support

Chapter 15. Challenges and Issues

Chapter 16. Conclusions.

Other Format:

Printed edition:

ISBN:

978-3-030-76397-8

9783030763978

Access Restriction:

Restricted for use by site license.