Yang / Krejci Proceedings of the 2023 International Conference of The Computational Social Science Society of the Americas

1. Auflage 2024
ISBN: 978-3-031-64193-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 316 Seiten, eBook

Reihe: Springer Proceedings in Complexity

This book contains a selection of the latest research in the field of Computational Social Science (CSS) methods, uses, and results, as presented at the 2023 annual conference of the Computational Social Science Society of the Americas (CSSSA). This conference is held in Santa Fe, New Mexico, November 2–5, 2023. CSS is the science that investigates social and behavioral dynamics through social simulation, social network analysis, and social media analysis. The CSSSA is a professional society that aims to advance the field of computational social science in all areas, including basic and applied orientations, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing research findings and results.

Zielgruppe

Research

Autoren/Hrsg.

Yang, Zining

Krejci, Caroline

Inhaltsverzeichnis

Understanding Emergence Through Agent-Based Computation.- Agent-based foraging or When imperfect unbiased knowledge yields systematic deviation from ideally rational outcomes.- The differential ‘wisdom of crowds’: Using ChatGPT and the Twitter API to interrogate entire cultures.- Statistical Discrimination with Affirmative Action using Agent-based Modeling.

Über Autor(innen)

Dr. Zining Yang is Senior Manager at
Southern California Edison. She also works as Adjunct Professor at
California State Polytechnic University, Pomona, and Associate
Director at the TransResearch Consortium. She sits on the Board of
the Computational Social Science Society of the Americas (CSSSA)
and serves as Scientific Advisory Board Member for Human Factors
and Simulations. She received her Ph.D. in Computational and
Applied Mathematics and Political Economy from Claremont Graduate
University. Her research interests include modeling and simulation,
complex adaptive systems, agent-based models, network analysis,
data analytics, and
machine learning. She has published numerous times in the
fields of computer science, economics, public policy, and political
science. She has been identified as Outstanding Researcher by the
government, worked on a National Science Foundation-sponsored
project, and won multiple awards from various organizations,
including the Ministry of Education ofthe People’s Republic of
China, International Social Computing, Behavioral Modeling and
Prediction, and the International Institute of Informatics and
Systemics.