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Social Simulation for a Crisis - Results and Lessons from Simulating the COVID-19 Crisis (Hardcover, 1st ed. 2021) Loot Price: R4,608
Discovery Miles 46 080
Social Simulation for a Crisis - Results and Lessons from Simulating the COVID-19 Crisis (Hardcover, 1st ed. 2021): Frank Dignum

Social Simulation for a Crisis - Results and Lessons from Simulating the COVID-19 Crisis (Hardcover, 1st ed. 2021)

Frank Dignum

Series: Computational Social Sciences

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Loot Price R4,608 Discovery Miles 46 080 | Repayment Terms: R432 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Computational Social Sciences
Release date: June 2021
First published: 2021
Editors: Frank Dignum
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 453
Edition: 1st ed. 2021
ISBN-13: 978-3-03-076396-1
Categories: Books > Science & Mathematics > Mathematics > Combinatorics & graph theory
Books > Computing & IT > General theory of computing > General
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Professional & Technical > Biochemical engineering > Biotechnology > General
LSN: 3-03-076396-X
Barcode: 9783030763961

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