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).

About 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.

Journal Information
Full Title Journal of Informatics and Advanced Data Science
Abbreviated Title JIADS
Arabic Title مجلة المعلوماتية وعلوم البيانات المتقدمة
Publisher Informatics Institute for Postgraduate Studies, Iraq
e-ISSN 3135-4467
DOI Prefix 10.66849
Publication Type Open Access, free for readers and authors
Review Type Double-blind peer review
Frequency Biannual (2 issues per year)
Language English (Arabic abstracts accepted)
Established 2025
Website https://jiads.iips.edu.iq
Platform Open Journal Systems (OJS)
Indexing Google Scholar, Crossref, Crossref DOI
Specialization Artificial Intelligence

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
Aims & Scope

JIADS publishes original research articles, review papers, technical papers, case studies, and survey papers covering but not limited to the following topics:

Artificial Intelligence Machine Learning Deep Learning Natural Language Processing Large Language Models (LLMs) Computer Vision Robotics Expert Systems Data Science Big Data Analytics Cybersecurity Cloud Computing Internet of Things (IoT) Digital Transformation Smart Cities Information Systems Software Engineering Educational Technology Human-Computer Interaction Blockchain Bioinformatics Medical AI AI in Healthcare AI in Education AI in Government AI Ethics Decision Support Systems Neural Networks Generative AI Quantum Computing Pattern Recognition Data Mining Edge Computing Reinforcement Learning
Journal Objectives
1 Publish original, high-quality peer-reviewed research articles in AI and digital systems.
2 Support interdisciplinary AI applications across healthcare, education, government, and industry.
3 Improve the international scientific visibility of Iraqi and regional research institutions.
4 Build and maintain an internationally diverse and qualified editorial board.
5 Achieve indexing in major scientific databases including Scopus and Web of Science.
6 Encourage applied AI research serving government digital transformation agendas.
7 Maintain transparent, fair, and efficient peer-review and publication processes.
8 Build partnerships with leading universities and international research centers.
Article Types Accepted

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
Publication Ethics
Plagiarism screening before review
AI-generated content disclosure policy
Conflict of interest declaration
Author originality confirmation
Anti-duplicate publication policy
Transparent peer-review process
Open-access copyright policy
Research integrity standards (COPE)