Data-Centered AI and Computational Discovery

DATAMIND

Advancing database-centered artificial intelligence, computational discovery, data engineering and reproducible intelligent systems.

Peer-Reviewed Open Access CC BY 4.0 Published by INATGI

About the Journal

DATAMIND (ISSN: 3071-5601)

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Editorial Leadership

Editor in Chief of DATAMIND

Editor in Chief

Weiping Li, PhD                           

Peking University, China

Current Issue

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Current Issue

Vol 1 No 1 (2026)

This issue presents the latest peer-reviewed research within the journal's interdisciplinary scope.

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Articles

DOI: https://doi.org/10.63646/XEQV5290
DOI: https://doi.org/10.63646/JSPT7218
DOI: https://doi.org/10.63646/OLYD4625
DOI: https://doi.org/10.63646/TBQA2580
DOI: https://doi.org/10.63646/LXOJ9252
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Announcements, Special Issues & Calls

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Announcements

DATAMIND is an international, peer-reviewed, open-access journal committed to publishing high-quality research in database-centered artificial intelligence, data management, and computational discovery. As we continue to expand our editorial network and strengthen our global impact, we are seeking motivated and accomplished scholars to join our Editorial Board.

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Special Issues & Calls

Explore current thematic calls for papers or propose a special issue that advances the journal's scholarly scope.

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