Synopsis

You’ve probably tried ChatGPT for research tasks and hit frustrating roadblocks—fabricated citations, confident-sounding but incorrect information, or outputs that sound nothing like academic writing.  

 This workshop cuts through the hype to show you what actually works. We’ll tackle the real challenges academics face with AI: how to verify information when AI “hallucinates” references, how to use AI for literature reviews without missing key papers, and how to maintain your scholarly voice when AI tends toward generic corporate-speak.  

 You’ll learn specific techniques for fact-checking AI outputs, extracting genuine insights from messy qualitative data, and turning rough AI drafts into publishable academic prose.  

We’ll work with multiple platforms  to handle actual research scenarios: synthesizing conflicting findings across disciplines, breaking down complex theoretical frameworks, generating testable hypotheses from preliminary data, and crafting compelling grant narratives.  

 Most importantly, we’ll address the elephant in the room: How can you use AI to genuinely accelerate your research without sacrificing depth, accuracy, or originality? By the end, you’ll have battle-tested strategies for the manuscripts, grants, and literature reviews currently sitting on your desk.