Advancing Human-AI Symbiotic Research
A Journal Built for Its Moment
JSR is a peer-reviewed, Diamond Open Access journal dedicated to advancing scholarly understanding of human-AI collaboration, symbiosis, and co-evolution. We publish original research grounded in Human-AI Symbiotic Theory (HAIST) — examining how humans and AI systems learn, adapt, and create together.
Human-AI Symbiotic Theory (HAIST)
Human-AI Symbiotic Theory (HAIST) — developed by John Chick and Laura Morello at the University of Bridgeport — proposes that the most productive human-AI interactions are not transactional but symbiotic: each party adapts, learns from, and is transformed by the other.
- Complementary Cognitive Architecture Human and AI systems occupy asymmetric but synergistic cognitive roles — each contributing what the other cannot.
- Transformative Agency Collaboration with AI should expand, not diminish, human autonomy, creativity, and scholarly capacity.
- Experiential Reflective Learning Knowledge is constructed iteratively and dialogically through repeated, reflective engagement between human and AI.
- Adaptive Inquiry Both partners reciprocally adapt their approaches in response to emergent questions and evolving research needs.
- Self-Directed Partnership The human researcher retains final control, interpretive authority, and ethical responsibility throughout the collaboration.
- Authentic Problem-Centered Engagement Symbiotic partnership is grounded in genuine scholarly problems — not performative AI use or procedural compliance.
- Ethical Co-Construction Transparent documentation, accountability, and ongoing ethical reflection are intrinsic to the human-AI research process.
What We Publish
We publish work at the intersection of:
Diamond Open Access — free to read, free to publish. All content is published under a CC-BY 4.0 license. JSR charges no article processing fees (APCs) — ever. We are committed to global knowledge equity and the principle that research in the public interest should be accessible to all.
Affiliation & Identifiers
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 building its reviewer pool. We especially welcome scholars with expertise in human-AI interaction, educational technology, learning sciences, and AI ethics. Terminal degree and hands-on LLM experience required.