CSSSA defines computational social science broadly, as the theory-driven, nontrivial use of computational methods to analyze, model, simulate, and explore social systems and their dynamics. We explicitly expand beyond the simple analysis of data gathered from a social system and explore how these signals correspond to social science theory. In this way we can explore generating mechanisms that underlie social dynamics using agent-based simulation and other computational methods.

CSSSA continues to be keenly interested in enabling the field of Computational Social Science to achieve broad impacts. To that end, we extend a special welcome to papers, posters, and discussions that explore how Computational Social Science can help us address many of today’s complex challenges.

The CSSSA is an inclusive organization. As such we welcome submissions from all, regardless of background, institutional affiliation, or any other characteristic. Submissions are evaluated on scientific merit, relevance to the conference, and impact on the field.

Topics of interest include, but are not limited to:

Agent-Based Modeling and Simulation
Tools and Frameworks
Validation techniques
Computational infrastructure to support ABMs
Participatory ABM use
Sociocultural Analyses
Social network analysis
Cultural change dynamics
Economic dynamics
Big data analytics, Geospatial Analyses, or New CSS related datasets
Theoretical foundations, Ethical considerations, and the Future of CSS
Public health, Policy, Governance
Disease spread and mitigation dynamics
Use of CSS in policy analysis and policy development
Use of CSS in institution design, improvement, or analysis
Case studies and reports
Reports on impact or value of CSS analyses
CSS techniques in policy development or analysis