Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science (TDAS) is an international, peer-reviewed, and open-access scholarly journal dedicated to advancing research at the intersection of data analysis and social science. The journal aims to provide a high-quality platform for the dissemination of original research that explores theoretical, methodological, and applied innovations in data-driven social science research.

TDAS publishes cutting-edge studies encompassing foundational theories, analytical frameworks, computational methods, models, tools, and real-world applications that contribute to a deeper understanding of complex social phenomena through data analysis. The journal encourages interdisciplinary approaches and welcomes contributions that bridge quantitative and qualitative methodologies, as well as traditional and emerging data analytics techniques.

The scope of the journal includes, but is not limited to, research in Communication Sciences, Economics, Management, Psychology, Law, Education, Political Science, Sociology, and Administrative Sciences. By fostering dialogue across disciplines, TDAS seeks to promote rigorous, transparent, and impactful research that supports evidence-based decision-making and advances knowledge in social science domains.