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Presented By: Michigan Institute for Data Science

Generative AI Tutorial Series: Text as Data

Join this session to learn more about generative AI tools for working with text data, including creating and analyzing data from a variety of sources; and discussion of benefits, capabilities, and challenges including how to assess bias. Hands-on exercises will focus on real-world examples using text data.

Instructor Dr. Mark Hansen was the inaugural director for the David and Helen Gurley Brown Institute of Media Innovation and is a data scientist at Columbia University working at the intersection of data, art and technology. His work has appeared in the Museum of Modern Art in New York, the Whitney Museum, and the lobby of the New York Times.

About the series: Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To leverage this, MIDAS and the College of Literature, Science, and the Arts are co-hosting a series of tutorials on Generative AI during the Winter ’24 semester.

If you are a U-M researcher looking to learn more about when, why, and how to integrate Generative AI tools into your research, join us for our upcoming sessions. We cover topics ranging from administrative tasks, literature review and synthesis, data analysis, and writing and presentations. No prior experience with Generative AI tools is required. Participants will need to supply their own laptop for each session.

Location: all sessions will be held in-person. We are not able to offer live-streaming for this series. Recordings and materials will be posted to the event page after each session.

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