About the Journal

Washington Journal of AI Systems and Analytics is a quarterly, institutional, open-access, and double-blind peer-reviewed academic journal published by Washington University of Science and Technology. The journal is established to provide a scholarly forum for the dissemination of high-quality research in the fields of artificial intelligence systems, machine learning, and data analytics.

The purpose of the journal is to advance theoretical and applied knowledge related to the design, development, evaluation, and implementation of intelligent systems and analytical methods. It welcomes original research articles, review papers, and analytical studies that contribute to scientific progress and address contemporary challenges in AI-driven technologies across academic, industrial, and societal contexts.

Operating under a fully open-access publication model, the Washington Journal of AI Systems and Analytics ensures that all published articles are freely and permanently accessible to readers worldwide. The journal is committed to maintaining high standards of academic quality, transparency, and integrity by adhering to internationally recognized publication ethics, rigorous peer-review procedures, and institutional oversight. Through these principles, the journal aims to support responsible research practices and contribute meaningfully to the global artificial intelligence research community.