AI for Research and Academia

A premium, practical, and rigorously honest course on using artificial intelligence across the entire academic research lifecycle in 2026 — for graduate students, PhD candidates, postdocs, faculty, and independent researchers. You will learn to use AI as a scholarly co-pilot: discovering and synthesizing literature, taking smart notes, structuring papers, sharpening academic writing (especially for non-native English speakers), summarizing dense articles, brainstorming research questions, structuring grant proposals, building presentations and posters, getting conceptual help with data-analysis code, managing references, and reading peer review more effectively. Every module is anchored in one non-negotiable spine: academic integrity. AI is a thinking and drafting aid, never a ghostwriter, never a source of citations, and never a way to fabricate data or claim work that is not your own. You will get ready-to-use prompts, worked examples, and workflows, plus explicit guidance on citation hallucination, disclosure policies, confidentiality, and accountability. This is educational content and does not replace your institution's policy, your ethics board, or legal advice.