This book is comprised of the latest research into CSS methods, uses, and results, as presented at the 24th International Conference on Computational Science and Its Applications organized by the Computational Social Science Society of the Americas (CSSSA). 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.

Highlights the conference themes showcased at the 2024 CSSSA conference Features recent advances in Computational Methods, Algorithms and Scientific Applications Presents unique insights into the field of Artificial Intelligence learning technologies

Autorentext

Dr. Zining Yang is Senior Manager of Enterprise Information and Advanced Analytics at Southern California Edison. She also works as Adjunct Professor at California State Polytechnic University, Pomona, and La Sierra University. 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.

Dr. Elizabeth von Briesen is Assistant Professor of Computer Science at Elon University and is a member of the board of the Computational Social Science Society of the Americas. She received her Ph.D. in Computing and Informatics from the University of North Carolina at Charlotte in 2020. Her research interests are focused on the study of complex adaptive systems using agent-based models, with a concentration on understanding social systems facing issues like identity-based conflict and food insecurity. Her simulations are informed by social science theory, as well as related data. Finally, in her current position, she strives to positively contribute toward the experience of her undergraduate students through her scholarship, mentoring, and teaching.

Inhalt

Belief Evolution in Society Over Time: Dynamics Based on Random and Homophily-Based Networks, and Applications.- Retention in Higher Education: An Agent-Based Model of Social Interactions and Motivated Agent Behavior.- Micro, Meso, Macro: Generic Structures of Social Complexity for Defense Systems Engineering & National Security Wargames.- Classifying Noisy Human Signals Using Topological Data Analysis.- MADmax: Multi-Agent Trust Dynamics and Influence Maximization.- Gardening Contagion: Using Agent-Based Modeling to Examine Growth and Persistence of Food-Secure Communities.- Recommending Defenses Against Cyber Threats: An Approach Inspired by Machine Translation.- On Representing Knightian Uncertainty in Agent-Based Models.- Engaging Communities in Developing Technologies to Support Community Flourishing: A Workshop Report.- Generational Taste Formation and Cultural Markets: A Develecological Approach to Cultural Change.- Analysis of FPDS-NG Data for Economic Influence.- Intelligent Agent Interactions for Southwest Border Interdictions.- Scaling Agent-Based Model Outputs Using Network Analysis.- Modeling the Evacuation from a Regional Disaster Using the Poisson distribution.- Graph Neural Differential Equations for Coarse-Grained Socioeconomic Dynamics.