About the Journal
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:
- Data science methodologies and statistical modeling
- Machine learning, deep learning, and artificial intelligence
- Big data analytics and data mining
- Predictive analytics and decision support systems
- Business analytics, financial analytics, and econometrics
- Health informatics and bioinformatics
- Social data analytics and computational social science
- Natural language processing and text analytics
- Data visualization and human-centered analytics
- Cloud computing, data engineering, and scalable systems
- Ethical, legal, and societal implications of data science
- Applications in education, public policy, sustainability, and smart systems
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.
