Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas

This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA.  This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel.  What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.

Brian Goode, and Bianica Pires: Encoding Protest Duration in an Agent-Based Model as Characteristic PhaseTransitions

Saeed Langarudi, Ashley Page, Connie Maxwell, Yining Bai, Babak Bahaddin, and Alexander Fernald:

System-wide Policy Solutions for Water Scarcity Issues

D. Cale Reeves, and Varun Rai: More or Faster? Technology Subsidy Policy, Additional Adoptions, and Accelerated Diffusion

Anuj Mittal, Nilufer Oran Gibson, and Caroline Krejci: Assessing the Potential of Crowd-shipping for Food Rescue Logistics Using Agent-based Modeling

Daria Roithmayr, Fei Fang, and Justin Chin: The Cat and Mouse Dynamics of Getting Around the Law

Srikanth Mudigonda, and Milton Friesen: Social Primitives: Exploring Spark of Life Collective Behavior in Agent Based Models

Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, and Ivan Garibay: Resistance of Communities

Against Conspiracies

Yiding Cao, Yingjun Dong, Minjun Kim, Neil Maclaren, Ankita Kulkarni, Shelley Dionne, Francis Yammarino, and Hiroki Sayama. Capturing the Production of Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization

Zahrieh Yousefi, Dietmar Heinke, Ian Apperly, and Peer-Olaf Siebers: An Agent-Based Model to Understand Simple Theory of Mind: Belief Representation Systematic Approach (BRSA)

Loren Demerath, James Reid, and E. Dante Suarez: A Model of Emergence featuring Social Mechanisms of Information Compression

Juan Salamanca, and Santiago Núñez-Corrales: Social viscosity, fluidity and turbulence in collective

perceptions of color: an agent-based model of color scale convergence

John Silver: Electoral College: Abandoned Battlegrounds An Agent-Based Model of Campaign Behavior Change with Proportional Allocation of Electors

Eric Castellanos, Hang Xie, and Paul Brenner: Global News Sentiment Analysis

Amira Al-Khulaidy, and Valentin Vergara Hidd: Corruption and the effects of influence within social networks: An agent-based model of the Lava Jato scandal.

*Ece Mutlu, and Ivan Garibay: The Degree-Dependent Threshold Model: Towards a Better Understanding of Opinion Dynamics on Online Social Networks

Melissa Vigil, Thi Nguyen, and Ellen Badgley: Inside the Mind of the Nonfiler: An Agent-Based Modeling Approach

Paul Davis, Tim McDonald, Ann Pendleton-Jullian, Angela O'Mahony, and Osonde Osoba: A Complex-Systems Agenda for Influencing Policy Analysis

Jeffrey Schank: The Evolution of Sharing in the Dictator Game

Niloofar Bagheri-Jebelli, Andrew T. Crooks, and William G. Kennedy: Capturing the Effects of Gentrification on Property Values: An Agent-Based Modeling Approach

Chathika Gunaratne, Subash Ray, Caroline Alves, and Maria Waldl: Exogenous Shocks Lead to Increased Responsiveness and Shifts in Sentimental Resilience in Online Discussions

Gamaliel Palomo, Mario Siller, Arnaud Grignard, and Luis Alonso: An agent-based model of social fabric seen as an emergent behavior in cities

Amanda Song, Chad Atalla, Bartholomew Tam, Linjie Li, and Garrison Cottrell: Modifying human facial

impression

Elizabeth von Briesen, Amy Canevello, Samira Shaikh, John Cox, and Mirsad Hadžikadic: Modeling Genocide: An Agent-Based Model of Bystander Motivation and Societal Restraints

Ivan Garibay, Toktam Oghaz, and Niloofar Yousefi: Deep Agent: A Framework for Information Spread and Evolution in Social Networks

Nisha Baral, Chathika Gunaratne, Chathura Jayalath, William Rand, Chathurani Senevirathna, and

David Dixon: Complex Systems Analysis of Transplant Center Performance Metrics

Dr. Zining Yang is Senior Manager at Southern California Edison. She also works as Clinical Professor at Claremont Graduate University 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. Dr. Yang received her Ph.D. in Computational and Applied Mathematics and Political Economy from Claremont Graduate University in 2015. Her research interests include Data Analytics, Machine Learning, Modeling and Simulation, Complex Adaptive Systems, Agent-Based Models, and Network Analysis. Dr. Yang has been published numerous times in the fields of Computer Science, Economics, Public Policy, and Political Science. She has been identified as an 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. Elizabeth von Briesen is an 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 & Informatics from the University of North Carolina at Charlotte in 2020. Her research interests are focused on the study of complex adaptive systems using computational techniques, particularly with respect to social systems experiencing identity-based conflict. She primarily works with agent-based models, and performs data mining and sentiment analysis to inform those simulations. Finally, in her current position, Dr. von Briesen strives to contribute toward an evolving undergraduate computer science experience through research, service, and high-quality, innovative teaching.