About the Journal
The Journal of Artificial Intelligence in Interdisciplinary Studies (JAIIS) is a premier, peer-reviewed, open-access academic journal dedicated to publishing high-quality research at the intersection of artificial intelligence and diverse academic disciplines.
Detailed Description
JAIIS aims to bridge the gap between computational innovation and domain expertise. We publish high-quality original research articles, comprehensive reviews, and visionary perspectives that explore how AI technologies can be strategically applied to solve complex challenges within education, social sciences, and applied human studies.
We believe that the most profound advancements in AI occur at the intersection of algorithmic methods and deep disciplinary knowledge. Rather than focusing on isolated technical developments, JAIIS seeks research that demonstrates true interdisciplinary synergy—moving beyond mere application to foster fundamental methodological innovation. Our platform is dedicated to scholars who aim to redefine traditional frameworks in pedagogy, management, and societal structures through the lens of intelligent systems, ensuring that the evolution of AI remains grounded in human-centric values and practical excellence.
Subject Areas
Indexing & Abstracting
JAIIS is committed to ensuring the widest possible dissemination and impact of published research. Our editorial standards are designed to meet the rigorous criteria of major global databases. The journal currently utilizes Crossref (DOI) for permanent digital identification and is indexed in Google Scholar to ensure immediate global visibility.
We are actively working toward inclusion and are following the indexing roadmaps for the following prestigious platforms:
- Scopus
- Web of Science (ESCI)
- DOAJ
- Google Scholar
- ERIC
- EBSCO & ProQuest