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Proceedings of the 2024 International Conference of The Computational Social Science Society of the Americas

CSSSA 2024, October 24–27, Santa Fe, USA

  • Conference proceedings
  • Sep 2025

Overview

Editors:
  1. Zining Yang

    1. Claremont, USA

  2. Elizabeth von Briesen

    1. Campus Box 2320, Elon University, Elon, USA

  • 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

Part of the book series: Springer Proceedings in Complexity (SPCOM)

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About this book

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.

Keywords

  • Computational Social Science
  • Agent Based Modeling
  • Complex Adaptive Systems
  • Social Network Analysis
  • System Dynamics
  • Game Theory
  • Computer Science
  • Social Science
  • Computational Modeling

Editors and Affiliations

  • Claremont, USA

    Zining Yang

  • Campus Box 2320, Elon University, Elon, USA

    Elizabeth von Briesen

About the editors

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.

Accessibility Information

PDF accessibility summary

This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.

EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: Proceedings of the 2024 International Conference of The Computational Social Science Society of the Americas

  • Book Subtitle: CSSSA 2024, October 24–27, Santa Fe, USA

  • Editors: Zining Yang, Elizabeth von Briesen

  • Series Title: Springer Proceedings in Complexity

  • Publisher: Springer Cham

  • eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Hardcover ISBN: 978-3-031-89691-0Due: 24 September 2025

  • Softcover ISBN: 978-3-031-89694-1Due: 24 September 2026

  • eBook ISBN: 978-3-031-89692-7Due: 24 September 2025

  • Series ISSN: 2213-8684

  • Series E-ISSN: 2213-8692

  • Edition Number: 1

  • Number of Pages: X, 260

  • Number of Illustrations: 19 b/w illustrations, 61 illustrations in colour

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