About the Journal

About the Journal

Computational Social Science & Policy Analytics is an international, peer-reviewed, open access academic journal that publishes cutting-edge research at the intersection of computational methods and social science. The journal is dedicated to exploring innovative applications of advanced computational techniques—including artificial intelligence, deep learning, quantum computing, complex systems modeling, agent-based modeling (ABM), multi-scale modeling, and game theory—in areas such as policy analysis, social governance, economic forecasting, technological innovation, and international trade.

Focus and Scope:
Our journal welcomes contributions that push the boundaries of traditional social science research through the integration of computational approaches. We aim to foster theoretical innovation, support empirical research using big data analytics, and explore the practical implications of computational experiments and simulations for policy decision-making.

Open Access Policy:
Computational Social Science & Policy Analytics operates under an open access model, ensuring that all published articles are freely available to the global research community. This policy promotes the wide dissemination of knowledge and facilitates collaborative research across disciplines.

Copyright Notice:
Authors retain copyright of their work, and the journal publishes articles under a Creative Commons license, allowing for sharing and adaptation with proper attribution.

Sponsorship and Disclosures:
The journal is supported by [Name of Sponsoring Organization/Institution, if applicable]. Any potential conflicts of interest or sponsorship details are transparently disclosed in each published article.

History of the Journal:
Since its inception, Computational Social Science & Policy Analytics has been committed to advancing interdisciplinary research and bridging the gap between computational techniques and social science applications. The journal has grown into a respected platform for innovative scholarship and is recognized for its contributions to the field.

Privacy Statement:
We are committed to protecting the privacy of our authors, reviewers, and readers. All personal data is handled in accordance with applicable data protection regulations and is used solely for purposes related to journal administration and peer review.

Archival Systems:
To ensure the long-term preservation of its content, Computational Social Science & Policy Analytics is included in LOCKSS and CLOCKSS archival systems, safeguarding the scholarly record for future generations.