About the Journal
About the Journal & Aims and Scope
Learn about the mission, publication model, research scope, and ethical standards of the Journal of Informatics and Advanced Data Science (JIADS).
The Journal of Informatics and Advanced Data Science (JIADS) is an international, open-access, double-blind peer-reviewed journal published by the Informatics Institute for Postgraduate Studies, Iraq. Established in 2025, JIADS provides a dedicated scholarly platform for the dissemination of original, high-quality research in Artificial Intelligence, Machine Learning, Digital Systems, and related emerging technologies.
JIADS is committed to advancing scientific knowledge and fostering global collaboration among researchers, academics, engineers, and practitioners. The journal upholds the highest standards of research integrity, transparent editorial processes, and ethical publishing in accordance with internationally recognized guidelines.
All articles published in JIADS are freely accessible to readers worldwide under an open-access model, with no subscription fees. Each article receives a permanent Digital Object Identifier (DOI) through Crossref, ensuring reliable citation and long-term accessibility.
Vision
- › To become a leading international scholarly journal in AI and digital technologies
- › Recognized globally for publishing innovative, ethical, and impactful research
- › Contributing to digital transformation and scientific advancement worldwide
- › To be a trusted reference for researchers in the Middle East and beyond
Mission
- › Publish high-quality, rigorously peer-reviewed research
- › Support scientific innovation in AI and digital systems
- › Encourage international research collaboration
- › Promote Iraqi and regional research on the global stage
- › Maintain ethical and responsible AI research standards
- › Provide an open-access platform for all researchers
JIADS publishes original research articles, review papers, technical papers, case studies, and survey papers covering but not limited to the following topics:
Accepted Submission Types
- › Original Research Articles
- › Review Articles (Systematic & Literature)
- › Technical Papers
- › Case Studies
- › Survey Papers
Target Audience
- › Researchers and academics
- › PhD and master's students
- › AI engineers and developers
- › Government digital transformation teams
- › Computer science departments globally