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 2022 annual conference of the Computational Social Science Society of the Americas (CSSSA). Computational social science (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 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 data analytics, machine learning, modeling and simulation, complex adaptive systems, agent-based models, and network analysis. 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 of the People's Republic of China, International Social Computing, Behavioral Modeling and Prediction, and the International Institute of Informatics and Systemics.
Dr. Santiago Núñez-Corrales is a Research Scientist at the National Center for Supercomputing Applications, Faculty Affiliate at the Center for Global Studies and Lecturer at the School of Information Sciences, University of Illinois Urbana-Champaign. He obtained his Doctorate in Informatics University of Illinois Urbana-Champaign with a minor in Global Studies in 2020. Dr. Núñez-Corrales has received multiple awards, including the 2017 SIGHPC ACM/Intel Computational and Data Science Fellowship. His research focuses on developing mathematical and computational methods to unveil statistical physics aspects governing complex multiscale stochastic systems, or strongly coupled, heterogeneous open systems whose description requires events at multiple scales, and whose action is dictated by irreversible thermodynamics. Prior to this, Dr. Núñez-Corrales served as Director General of Research and Technology Development at the Ministry of Science, Technology and Telecommunications in Costa Rica, where he directed the development of the National Plan for Science, Technology and Innovation 2015-2021 across multiple economic sectors and other science and technology foresight exercises.
楊子寧博士是南加州愛迪生公司的高級經理。她同時擔任加州州立理工大學波莫納分校的兼任教授，以及TransResearch Consortium的副主任。她是美洲計算社會科學學會（CSSSA）的董事會成員，並擔任人因工程與模擬的科學諮詢委員會成員。她在克萊蒙研究生大學獲得計算與應用數學及政治經濟學的博士學位。她的研究興趣包括數據分析、機器學習、建模與模擬、複雜適應系統、基於代理的模型以及網絡分析。她在計算機科學、經濟學、公共政策和政治科學等領域發表了多篇論文。她曾被政府評選為傑出研究人員，參與過由國家科學基金會贊助的項目，並獲得來自多個組織的多項獎項，包括中華人民共和國教育部、國際社會計算、行為建模與預測，以及國際信息學與系統學會。
努涅斯-科拉萊斯博士是國家超級計算應用中心的研究科學家，並擔任伊利諾伊大學香檳分校全球研究中心的教職夥伴及信息科學學院的講師。他於2020年在伊利諾伊大學香檳分校獲得信息學博士學位，並輔修全球研究。努涅斯-科拉萊斯博士獲得多項獎項，包括2017年SIGHPC ACM/Intel計算與數據科學獎學金。他的研究專注於開發數學和計算方法，以揭示統計物理學在複雜多尺度隨機系統中的作用，或強耦合的異質開放系統，其描述需要多尺度事件，且其行為由不可逆熱力學所主導。在此之前，努涅斯-科拉萊斯博士曾擔任哥斯達黎加科學、技術與電信部的研究與技術發展總監，負責指導2015-2021年國家科學、技術與創新計劃的發展，涵蓋多個經濟部門及其他科學與技術前瞻性研究。
