About the Journal

AI Data Science and Intelligent Systems publishes research on the theory, methods and applications of artificial intelligence and data science. The journal considers foundational advances in learning and reasoning alongside rigorous empirical studies and well-evaluated applications, with particular attention to reproducibility, transparency and responsible use. All submissions undergo double-blind peer review, and accepted articles are published open access.

Mission

AI Data Science and Intelligent Systems seeks to advance knowledge in its field by publishing work of lasting scholarly value. The journal is committed to transparent and consistent editorial standards, to fair and constructive peer review, and to making the research it publishes freely and permanently available to readers worldwide under the CC BY 4.0 licence.

What the journal publishes

The journal considers original contributions within its aims and scope in the following article types:

• Research Article
• Review Article
• Short Paper
• Case Study
• Letter to the Editor

Editorial governance

Editorial responsibility rests with the Editor-in-Chief, supported by the journal’s editors, editorial assistants and an international editorial board. Every manuscript is assessed by an editor and, if suitable, evaluated in double-blind peer review by at least 2 independent reviewers before any decision on publication. All members of the board are listed publicly with their current appointments and areas of expertise.

Editorial board

Indexing and metadata

Article metadata is prepared in accordance with Crossref and JATS conventions, exposed to Google Scholar through standard bibliographic tags, and made available through the publisher’s OAI-PMH 2.0 interface for harvesting by indexing services and repositories. Citations may be exported in APA, MLA, Chicago, Harvard, Vancouver, IEEE styles, and in BibTeX and RIS formats.

Publisher

AI Data Science and Intelligent Systems is published by Sciendor, an open-access publisher of peer-reviewed scholarly journals in technology, artificial intelligence and the social sciences. Editorial enquiries should be addressed to the Editorial Office at [email protected].