About Journal

The Journal of Artificial Intelligence Applications and Data Science (JAIADS) is an international, peer-reviewed, and fully open-access scientific journal dedicated to the advancement of theoretical, methodological, and applied research in artificial intelligence, machine learning, and data science. Established by the College of Artificial Intelligence at the University of Baghdad, the journal seeks to foster innovation by bridging the gap between computational theory and tangible real-world solutions across multiple disciplines.

JAIADS provides a rigorous, high-quality, and transparent venue for academics, industry practitioners, and policymakers to disseminate their findings to a global audience. Our commitment to open-access publishing ensures that all articles are freely available immediately upon publication, thereby accelerating the pace of scientific discovery and maximizing the societal impact of the research we publish.

 

Core Philosophy and Mission

 

Our core mission is to translate computational advances into measurable impacts in critical sectors such as healthcare, engineering, social sciences, and the physical sciences. JAIADS is uniquely positioned to address the growing need for a multidisciplinary approach to AI and Data Science.

 

We are particularly committed to:

  • Reproducible Research: JAIADS places a strong emphasis on transparency and scientific rigor. Submissions that are accompanied by openly accessible datasets and source code are highly encouraged and receive priority during the editorial review process.
  • Global Inclusivity: We strive to amplify high-quality scholarship from emerging research communities and regions that have historically been underrepresented in major technological venues.
  • Interdisciplinary Collaboration: By publishing research that traverses traditional academic boundaries, we aim to encourage collaborative efforts that tackle complex, systemic global challenges using data-driven insights.

 

Peer Review and Publication Standards

 

To maintain the highest standards of academic integrity, JAIADS employs a stringent single-blind peer-review process. All submitted manuscripts are evaluated by independent, international experts to ensure novelty, scientific soundness, and methodological rigor. We adhere to the ethical frameworks established by the Committee on Publication Ethics (COPE) and strictly monitor against academic misconduct, including plagiarism and data fabrication.

 

Indexing and Abstracting

 

As a newly established journal, JAIADS is committed to reaching the widest possible audience. We are actively engaged in the process of applying for inclusion in major international academic databases. Our immediate roadmap includes pursuing indexing in recognized abstracting services such as:

  • Directory of Open Access Journals (DOAJ)
  • Crossref
  • Google Scholar
  • ROAD (Directory of Open Access scholarly Resources)
  • Dimensions
  • Scopus (Future Target)
  • Indexing and Abstracting:

 

Readers and contributors will be continually updated as our indexing status evolves.

 

We invite authors from around the globe to submit their most innovative work to the Journal of Artificial Intelligence Applications and Data Science and join our community in pushing the boundaries of AI research.