About the Journal

Computational Social Sciences Review (CSSR) is an international open-access journal dedicated to advancing research at the intersection of computation, data science, and the social sciences. The journal provides a rigorous and interdisciplinary platform for scholars, researchers, and practitioners who explore how computational methods can deepen our understanding of human behavior, social systems, governance, digital platforms, cultural dynamics, and global societal challenges.

CSSR publishes high-quality empirical studies, theoretical contributions, methodological innovations, and integrative reviews that apply or critically examine computational tools in social science contexts. These include—but are not limited to—machine learning, natural language processing, network science, agent-based modeling, digital trace data analysis, big-data analytics, simulation approaches, and AI-driven frameworks for social research.

As digital transformation reshapes societies, the journal aims to bridge the gap between technological advancement and social inquiry. CSSR welcomes interdisciplinary collaborations that connect computer science, sociology, psychology, political science, economics, communication studies, behavioral science, public policy, and humanities computing.

Operating under a gold open-access model, CSSR is committed to transparency, academic integrity, and global accessibility. The journal encourages submissions from established researchers, early-career scholars, and graduate students worldwide, fostering a diverse, inclusive, and innovative research community.