Journal of Symbiotic
Research
Advancing Human–AI Collaborative Inquiry Across Academia
The first peer-reviewed venue dedicated to scholarship in which accessible artificial intelligence is transparently integrated as methodology — not disclosed as a liability, but evaluated as a contribution.
JSR treats the integration of accessible LLMs — ChatGPT, Claude, Gemini — as a methodological contribution, not a disclosure burden. Authors describe their AI workflow with the same rigor applied to any other research tool.
Every submission is evaluated against the Human-AI Symbiotic Theory: the human brings judgment, context, and accountability; AI brings capacity and speed. Research that uses AI without critical oversight is rejected. Genuine symbiosis is rewarded.
Educational research provides the epistemological spine. Submissions from nursing, public policy, social work, organizational leadership, military education, and workforce development are actively welcomed.
What We Publish
JSR publishes scholarship where human researchers and AI tools work together — transparently, rigorously, and accountably — to produce knowledge that neither could achieve alone.
Studies using ChatGPT, Claude, Gemini, Copilot, or similar tools as part of a documented research workflow, including prompt design, output verification, and human oversight documentation.
Thematic coding with AI support, qualitative data organization, literature synthesis, survey instrument validation, and statistical interpretation assistance — with transparent human oversight at each stage.
Research in which AI assists in drafting findings, discussion, or literature review sections, provided the human researcher's role in verification, revision, and scholarly judgment is described.
Automated or semi-automated research pipelines where AI agents conduct searches, extract data, or generate draft outputs under documented human oversight.
Empirical or theoretical work that validates, challenges, or refines the use of specific AI tools or frameworks in research contexts — including critical appraisals of HAIST and related frameworks.
Shorter-form contributions from educators, adult literacy practitioners, military trainers, and organizational leaders documenting real-world AI-integrated research and inquiry practices.
"Where human judgment and AI capacity produce scholarship neither could achieve alone."
JSR Editorial Philosophy
Meet the Editors
JSR is led by the co-architects of HAIST — the theoretical framework at the heart of this journal's review criteria and editorial vision.
Assistant Professor of Educational Leadership and Director of the Doctorate in Educational Leadership Program at UB, a Hispanic-Serving Institution. Co-developer of HAIST and author of The AI Learning Curve: What Every Educator Needs to Know (2025). Recipient of the Imogene Okes Award for Outstanding Research in Adult Education. Associate Editor, Journal of Military Learning. Board Member, National Coalition for Literacy.
Co-developer of the Human-AI Symbiotic Theory (HAIST) and co-author of Dissertations in the AI Era. A scholar-practitioner whose work centers on the ethical, methodological, and pedagogical dimensions of human-AI collaboration in higher education research and practice.
JSR is actively recruiting a Managing Editor for day-to-day operations, DOI registration, formatting service queue, and DOAJ submissions. Use our contact form if interested.
Submit Your Research
JSR accepts submissions on a rolling basis. Desk review: 1–2 weeks. Full peer review: 2–4 weeks.