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Springer - Social Simulation for a Crisis (Computational Sciences)

Sd-bo03

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Description

Explore the complex dynamics of global emergencies with Social Simulation for a Crisis: Results and Lessons from Simulating the COVID-19 Crisis. Published by Springer as part of the Computational Social Sciences series, this academic work provides deep insights into how simulation models can help understand and manage large-scale crises. This book examines the specific results and lessons learned from modeling the COVID-19 pandemic. It serves as a vital resource for researchers, students, and professionals interested in the intersection of social science and computational modeling. By studying these simulations, readers can gain a better understanding of how data-driven approaches can inform decision-making during public health emergencies. This text is essential for anyone looking to study the evolving field of computational social sciences and its practical applications in real-world crisis management.

Key Features

Part of the Computational Social Sciences series for academic depth.

Focuses on specific results and lessons from COVID-19 simulations.

Published by Springer to ensure high-quality research standards.

Provides insights into modeling social responses to global crises.

Useful for researchers studying computational social science methods.

Product Specifications

Colour
Sd-bo03
Size
3' X 8'
Format
paperback
Domain
Amazon UK
Release Date
10 June 2022
Listed Since
15 August 2020

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