Tutorial Overview
Focus: Using AI to improve access to, understanding of, and readiness for working with data.

This session would focus on helping researchers navigate the early stages of working with data, especially when datasets are large, complex, poorly documented, or unfamiliar. AI can assist with interpreting data dictionaries, summarizing metadata, identifying missing documentation, and making datasets more approachable for new users.

Possible hands-on activities:

Summarize a dataset description or codebook into plain language
Generate a checklist for evaluating whether a dataset is usable for a project
Identify likely data limitations or missing documentation
Draft questions to ask a data provider or collaborator
Use AI to map dataset fields to possible research questions
Reminder: All attendees, please bring a laptop.