Hands-On AI for Research Tutorials

Artificial intelligence is transforming research by helping researchers work more efficiently, uncover new insights, and accelerate discovery across disciplines. Through the Hands-On AI for Research tutorial series, MIDAS offers practical, interactive sessions that explore how AI can support every stage of the research workflow. Topics include developing research questions, literature review and synthesis, data analysis, coding, evaluating AI outputs, scientific writing, presentations, and other real-world applications. Open to researchers across all disciplines at U-M, the series emphasizes responsible, effective, and transparent use of AI in research.

Hands-On AI for Research: Practical Tutorials for the Research Workflow

This tutorial series introduces practical ways researchers can use AI to support common stages of the research workflow. Designed as a hands-on learning experience, the series focuses on approachable, real-world applications rather than abstract theory. Each session will combine brief framing, live demonstrations, and guided practice so participants can explore how AI tools may help with tasks such as refining research questions, working with data, conducting early-stage analysis, checking outputs, and communicating findings responsibly. The goal is to help researchers develop useful habits for integrating AI into their work in thoughtful, transparent, and effective ways.

Open to all U-M researchers, this 2026-2027 tutorial series welcomes participants of all experience levels. No prior AI experience is required. Participants should bring their own laptop to each session.

90 minutes total: 1 hour for each tutorial and 15-30 minutes for Q&A

Click here to see a full list of the AI in Research Tutorials!