AI-Driven Journal of Interdisciplinary Social Research (AIJISR) is an international, peer-reviewed, open-access academic journal dedicated to publishing original, high-quality research that contributes significantly to scientific knowledge in the social sciences. The journal aims to foster scholarly knowledge production by showcasing theoretically, empirically, practically, and methodologically rigorous scholarship across core social science disciplines and interdisciplinary research frontiers.

Scope & Interdisciplinary Approach

The scope of the journal encompasses the following disciplines:

  • Business Administration
  • Communication And Media Studies
  • Cultural Studies
  • Design
  • Economics
  • Educational Sciences
  • Fine Arts
  • Healthcare Management
  • History
  • International Relations
  • Labor Economics
  • Law
  • Linguistics And Literature
  • Philosophy
  • Political Science
  • Psychology
  • Public Administration
  • Public Finance
  • Social Work
  • Sociology
  • Tourism
  • Other related social science disciplines

The journal actively champions interdisciplinary research in the social sciences, evaluating investigations positioned at the theoretical or methodological crossroads of diverse disciplinary fields.

Accepted Publication Formats

In AIJISR, original research articles are prioritized. In addition, review articles, systematic reviews, meta-analyses, case studies, methodological papers, book reviews, and other scholarly contributions deemed appropriate by the editorial board are evaluated. Accepted article formats are established in full congruence with standard manuscript classifications in premier social science journals: research articles, reviews, systematic reviews, meta-analyses, case studies, and book reviews.

Innovative & Auditable Editorial Paradigm

While safeguarding traditional tenets of scholarly publishing, AIJISR pioneers a novel and experimental AI-supported editorial model. Accordingly, the journal aspires both to facilitate the dissemination of distinguished social science research and to advance an innovative, accountable, and auditable methodology for the future evaluation workflows of academic publishing.