Computational Social Sciences Review (CSSR) is an international, peer-reviewed journal dedicated to advancing computational and data-driven approaches to understanding human behavior and social systems in the digital era. It features research using machine learning, network science, NLP, social simulation, and large-scale analytics to examine social, political, cultural, and economic dynamics. Interdisciplinary in scope, CSSR connects scholars across social sciences, humanities, policy studies, and computer science. Committed to rigor and methodological transparency, the journal promotes globally relevant research that strengthens scientific knowledge and supports evidence-based decision-making in an algorithmic society.
Current Issue
Vol. 1 No. 1 (2026): Inaugural Issue: Bridging Computation and Society
Welcome to the inaugural issue of Computational Social Sciences Review. This volume marks the beginning of a new platform dedicated to the intersection of data science, algorithmic logic, and social inquiry. We invite scholars to explore how computational methods can decode complex human behaviors and societal evolutions in the digital age.
Published: 2026-03-15