The quality of public information is now subject to 24-7 news cycles on multiple media platforms alongside user-generated commentary. Information security is critical when it comes to the cyber global information environment where the internet and social media, as the primary sources of information and news, are actively used to influence opinion and activities, disseminate false information, and manipulate the perception of the world. Therefore, it is crucial to study the information exchange dynamics to understand the reach of any information available in the online environment and to compare putatively different methodologies and theoretical perspectives (from generative socio-cognitive agents to deep learning and between). However, modeling information exchange dynamics is a challenging problem due to complex non-trivial individual and emergent collective human behaviors in receiving, processing, and transmitting information; and it requires the development of next-generation of agent-based modeling approaches that incorporate theory and methods from multiple disciplines including network and computational social science, social psychology, cognitive science, sociology, economics, big data science, artificial intelligence, and machine learning, communication science and information theory.
We are seeking submissions on the following topics:
- Agent-based simulations of social media platforms.
- Models of information spread and evolution.
- Social network analysis and data mining studies to inform the development of agent-based models.
- Explainable models of social phenomena.
- Ontologies and taxonomies for describing social media platforms.
- Verification and validation methods for social simulations.
- Rigorous methods and metrics to quantitatively assess the accuracy and scalability of models.
- Digital media studies on narrative within social media platforms.
- Constraints on agent behavior from neuroscience, psychology and social science.
Papers can be submitted through EasyChair.
We welcome submission of original work, preliminary results of an initial work (i.e. work-in-progress) or visionary papers on future research directions, up to 8 pages in length (excluding references and appendices). All submissions should conform to the ACM proceedings format (i.e. following the AAMAS formatting instructions), and they should include the name(s), affiliations, and email addresses of all authors.
Submissions will be refereed on the basis of technical quality, novelty, significance, and clarity. All submissions will be peer-reviewed (single-blind) by at least two program committee members.
Paper Submission Deadline: February 2`1st, 2020
Notification of Acceptance: March 7th, 2020
Camera-Ready Version: March 25th, 2020
Workshop: May 9th, 2020
Program Committee Members
- Georgios C. Anagnostopoulos, Associate Professor of ECE, Dept. of Computer &
Engineering Sciences, Florida Institute of Technology
- Christopher Barrett, Director, Biocomplexity Institute, University of Virginia
- Kathleen M. Carley, professor in the School of Computer Science in the
department – Institute for Software Research – at Carnegie Mellon University
- Wingyan Chung, Professor; School of Modeling, Simulation, and Training at
University of Central Florida
- Professor Joshua M. Epstein, PhD; Department of Epidemiology , College of
Global Public Health; Director of the NYU Laboratory on Agent-Based Modeling,
with Affiliated Appointments to The School of Arts and Sciences and The Courant
Institute of Mathematical Sciences
- Stephen M. Fiore, Director of Cognitive Sciences Laboratory, and Professor with
the University of Central Florida’s Cognitive Sciences Program in the Department
of Philosophy and Institute for Simulation and Training.
- Alexander Mantzaris, Assistant Professor for the Statistics & Data Science
Department at University of Central Florida.
- Ron Sun, Professor, Cognitive Science Department, Rensselaer Polytechnic Inst.
Organizing Committee Members
- Emilio Ferrara, Assistant Research Professor and Associate Director of Applied Data Science at the University of Southern California Department of Computer Science
- Ivan Garibay, Assistant Professor and Director of the Complex Adaptive Systems lab at the University of Central Florida (UCF)
- Mark Orr, Research Associate Professor in the Network Systems Science and Advanced Computing at Biocomplexity Institute and Initiative at University of Virginia
- Gita Sukthankar, Associate Professor and Charles N. Millican Faculty Fellow in the Department of Computer Science at the University of Central Florida
- Niloofar Yousefi, Postdoctoral Fellow, Complex Adaptive Systems lab at the University of Central Florida (UCF)