The STAR Journal of Data Science and Applied Analytics (SJDSA) is a peer-reviewed, open access journal focused on advancing research at the intersection of data science, statistical modeling, machine learning, and real-world applications. SJDSA publishes original empirical studies, methodological innovations, and applied research across disciplines including healthcare, education, business, social sciences, and engineering. The journal welcomes contributions from researchers, data scientists, and practitioners worldwide.
Submit your research on data science, AI, and analytics for publication in an international, peer-reviewed, open-access journal.
Read more about Call for Papers: Journal of Data Science and Applied Analytics
This Volume 1 (2026) brings together recent research at the intersection of artificial intelligence, machine learning, data science, and their real-world applications across diverse domains. The issue features seven original research articles that explore everything from AI adoption frameworks to healthcare analytics and quantum security.
The STAR Journal of Data Science and Applied Analytics (JDSAA) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality, impactful research at the intersection of data science, analytics, and real-world applications. The journal serves as a platform for advancing innovative methodologies, computational techniques, and data-driven solutions across diverse sectors.
JDSAA emphasizes the integration of theory and practice, encouraging submissions that demonstrate methodological sophistication alongside practical implications for industry, policy, and society. The journal welcomes contributions from scholars, data scientists, analysts, and practitioners worldwide, with a commitment to fostering interdisciplinary collaboration and addressing complex global challenges through data-informed insights.
Scope and Areas of Interest include, but are not limited to:
The journal is committed to publishing research that advances both foundational knowledge and applied innovation, with particular attention to reproducibility, transparency, and ethical data practices. By bridging academic research and industry applications, JDSAA aims to advance data-driven decision-making and the responsible use of analytics in a rapidly evolving digital world.
