Advances in Social Simulation

Proceedings of the 16th Social Simulation Conference, 20-24 September 2021
1. Auflage 2022
ISBN: 978-3-030-92842-1
Verlag: Springer International Publishing

Buch, Englisch, 470 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 893 g

Reihe: Springer Proceedings in Complexity

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.

Zielgruppe

Research

Autoren/Hrsg.

Kami¿ski, Bogumi¿

Czupryna, Marcin

Kaminski, Bogumil

Fachgebiete

• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologie: Allgemeines
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

This year’s special theme will be “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 localisation, globalization, inequality, sustainable growth and social changes induced by progressive digitalisation, data availability and artificial intelligence.

Über Autor(innen)

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 Kaminski 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.