Proceedings of the 2023 International Conference of The Computational Social Science Society of the Americas
Springer International Publishing (Verlag)
978-3-031-64192-3 (ISBN)
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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.
Dr. Zining Yang is Senior Manager atSouthern California Edison. She also works as Adjunct Professor atCalifornia State Polytechnic University, Pomona, and AssociateDirector at the TransResearch Consortium. She sits on the Board ofthe Computational Social Science Society of the Americas (CSSSA)and serves as Scientific Advisory Board Member for Human Factorsand Simulations. She received her Ph.D. in Computational andApplied Mathematics and Political Economy from Claremont GraduateUniversity. Her research interests include modeling and simulation,complex adaptive systems, agent-based models, network analysis, data analytics, andmachine learning. She has published numerous times in thefields of computer science, economics, public policy, and politicalscience. She has been identified as Outstanding Researcher by thegovernment, worked on a National Science Foundation-sponsoredproject, and won multiple awards from various organizations,including the Ministry of Education ofthe People's Republic ofChina, International Social Computing, Behavioral Modeling andPrediction, and the International Institute of Informatics andSystemics.
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.
| Erscheinungsdatum | 11.11.2024 |
|---|---|
| Reihe/Serie | Springer Proceedings in Complexity |
| Zusatzinfo | X, 316 p. 149 illus., 130 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik | |
| Schlagworte | Agent Based Modeling • Complex Adaptive Systems • Computational modeling • Computational Social Science • Computer Science • Game Theory • social network analysis • System Dynamics |
| ISBN-10 | 3-031-64192-2 / 3031641922 |
| ISBN-13 | 978-3-031-64192-3 / 9783031641923 |
| Zustand | Neuware |
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