The Computational Social Science Society of the Americas Annual Conference
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
This is a companion discussion topic for the original entry at https://www.comses.net/events/737