Aims & Scope

The Journal of Data Science & Technology Innovation aims to advance research and practice in data science, artificial intelligence, and emerging digital technologies. The journal provides an international platform for high-quality scholarly work that explores novel data-driven methods, intelligent algorithms, advanced computing systems, and innovative technological applications across diverse domains.

By promoting rigor, innovation, and practical relevance, the journal seeks to contribute to the development of data-driven technologies and their transformative impact on industry, society, and sustainable development at both regional and global levels.

Double-blinded Peer Review

Committed to scientific integrity and editorial excellence, Journal of Data Science & Technology Innovation employs a double-blinded peer-review process and adheres to the highest ethical standards as outlined by COPE. The journal embraces transparency, reproducibility, and accessibility, ensuring that all published content is freely available under an open-access model to maximize dissemination and global impact.

ISSN

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Abstracting & Indexing

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