A 3-hour live workshop covering the complete AI-assisted research workflow — from literature search to AI-assisted writing — with academic integrity guardrails built in from the start.
18 spots remaining
The Problem with AI in Research
What goes wrong when researchers use AI without a framework — real examples.
The AI Research Toolkit
Live walkthrough of Elicit, Consensus, Perplexity Academic, Semantic Scholar, and Connected Papers.
Literature Review Workflow
From research question to annotated bibliography using AI — with every step documented.
Break (15 min)
AI-Assisted Writing
Using AI for drafts, restructuring, and editing — while keeping your scholarly voice.
Integrity Guardrails
Attribution, disclosure, verification — the non-negotiables. What your institution actually requires.
Q&A
Live questions on your specific discipline and use case.
Close
Every week I see researchers either dismissing AI tools entirely (missing real time savings) or using them uncritically (creating integrity risks). The middle path — rigorous, documented, disclosed AI use — is what this workshop teaches.
The framework in this workshop is discipline-agnostic and designed to work within the guidelines of most major journals and institutions as of 2026.
Who want to understand what these tools can reliably do — and what they absolutely cannot.
About to start or in the middle of writing who want AI assistance without integrity risk.
Who need to advise students on AI use and want a framework to teach.
Who got burned by hallucinations or bad output and want to understand what went wrong.