Presented By: Michigan Institute for Data and AI in Society
Generative AI Tutorial Series: From Search to Synthesis: AI Tools for Literature Discovery and Summarization
Join this session to learn more about generative AI tools that can assist you with literature discovery, summarization, and synthesis. Featured tools include Open AI’s chatGPT, UMGPT, Anthropic’s Claude, ResearchRabbit, and more. Bring your laptops for a hands-on tutorial at the end of the workshop.
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.
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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