This new series from the Indiana CTSI aims to educate attendees on leveraging AI basic principles and tools, its ethics to improve productivity, facilitate work processes, and address ethical considerations. The series is open to anyone interested in the topics, with each session lasting one hour and presented in a hybrid format – in person at the Regenstrief Social Hub (capped at 90 participants), or virtual (no limit).

Each session will also be recorded and made available after the event.

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October 29, 2025

Presenters: Rachel Patzer, PhD, MPH and Adam Wilk, PhD

This talk will explore the opportunities and challenges of using AI for qualitative data collection, transcription, thematic analysis, and mixed-methods studies. Case studies will compare manual and AI-assisted approaches to transcription and thematic analysis, highlight ethical considerations, and offer practical tips for critically evaluating AI outputs. The talk will offer perspective on how AI can accelerate—but not replace—some qualitative research approaches, the strengths and limitations of AI-assisted transcription and analysis, ethical and methodological challenges in using AI for qualitative work, and strategies for integrating AI into mixed-methods research. Whether you’re a qualitative expert, a quantitative data scientist, or simply curious about the future of AI in research, this session will provide actionable insights and spark thoughtful discussion.

Registration is now open