Tutorial Overview
Focus: Using AI to communicate research clearly to different audiences.
This session would explore how AI can help researchers translate technical work into accessible and audience-appropriate communication. Participants would practice adapting the same core findings for different settings, such as collaborators, community partners, students, leadership, or public-facing summaries.
Possible hands-on activities:
- Turn a technical summary into plain-language prose
- Draft a short abstract, presentation blurb, or project update
- Reframe the same findings for academic vs. non-academic audiences
- Generate slide outlines or talking points from key results
- Create a first draft of documentation, FAQs, or knowledge-transfer notes
About the Series
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.