The CSSSA defines computational social science broadly as the theory-driven application of computational methods to analyze, model, and simulate social systems. This includes analyzing large-scale social data, exploring mechanisms underlying social dynamics through simulation,
and connecting insights to social science theory.

We especially encourage submissions that address applied computational social science or demonstrate real-world impact. Advances in artificial intelligence and machine learning are opening new avenues for CSS research, and we welcome work that explores these methods alongside the full range of computational approaches that define the field.

CSSSA is an inclusive organization, welcoming contributions from all researchers regardless of background or institutional affiliation. Submissions are evaluated exclusively on scientific merit, relevance, and potential impact on the field.