This hub is for research scholars, faculty members, supervisors, and academic writing groups who want to use AI without weakening research quality.
Research quality comes first
AI can support exploration, note organization, synthesis planning, writing feedback, and workflow discipline, but claims, citations, interpretations, and final academic decisions must remain researcher-led and source-backed.
Recommended workflow
Use AI to plan search terms, structure matrices, summarize with verification, compare arguments, improve clarity, and identify gaps. Do not use AI as a substitute for reading, evidence evaluation, citation checking, or methodological judgment.
Best fit audiences
This hub is useful for PhD scholars, postgraduate researchers, early-career faculty, research methods classes, writing workshops, and publication planning sessions.
Start with these resources
- Using AI for literature reviews
- AI tools for research scholars
- AI for academic writing
- Literature review matrix template
- Research workflow with AI
Related sessions
For institutions and event organizers
If you are planning a keynote, FDP, workshop, panel, curriculum discussion, or institutional AI readiness program, use the contact page to share audience details and the expected learning outcomes.