Advances in Social Simulation: Proceedings of the 16th Social Simulation Conference, 20-24 September 2021 by Czupryna, Marcin

Advances in Social Simulation: Proceedings of the 16th Social Simulation Conference, 20-24 September 2021

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This book covers the latest advances in applying agent-based modelling in social sciences. The Social Simulation Conference is the major global conference devoted to this topic. It is aimed at promoting social simulation and computational social science.

This year's special theme is "Social Simulation geared towards Post-Pandemic times", focused not only on questions raised by the current pandemic but also on future challenges related to economic recovery, such as localization, globalization, inequality, sustainable growth and social changes induced by progressive digitalization, data availability and artificial intelligence.

The primary audience of this book are scholars and practitioners in computational social sciences including economics, business, sociology, politics, psychology and urban studies.

Author: Marcin Czupryna
Publisher: Springer
Published: 03/31/2023
Pages: 470
Binding Type: Paperback
Weight: 1.49lbs
Size: 9.21h x 6.14w x 0.98d
ISBN: 9783030928452

About the Author

Marcin Czupyrina is Associate Professor in the Financial Markets Department of Cracow University of Economics, Poland. He holds a Ph.D. in Quantitative Methods in Economics from the Warsaw School of Economics. He obtained a Marie Curie Scholarship in 2004 (Centre for operations research and econometrics, Université catholique de Louvain, Louvain-la-Neuve, Belgium).

His research concentrates on decisions under risk and uncertainty, behavioural aspects of decision process with the application to the financial markets as well as on microstructural aspects of the markets.

Bogumil Kamiński is Associate Professor at SGH Warsaw School of Economics, Poland and Adjunct Professor at Ryerson University, Canada. His research fields are computational social science and operations research. He is an expert in design and analysis of simulation experiments and high-performance computing using the Julia language.

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