Transforming Your Research with Generative AI

Tutorial 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 at one of 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.

Questions? Please reach out to midas-research@umich.edu

Series co-organizer

Location

All sessions will be held in-person. We are not able to offer live-streaming for this series. Unless otherwise noted, all sessions will take place on the 10th Floor of Weiser Hall (500 Church St., Ann Arbor MI 48109).

Recordings and materials from past sessions will be posted to this page when available.

Upcoming Sessions

Data Analysis I, Qualitative Data

Monday, March 11, 2024; 10:00 AM-12:00 PM

1040 Multipurpose Rm., LSA Building*

About: Join this session to learn practical applications of generative AI tools for qualitative data analysis from Dr. Mark Hansen, who teaches advanced data analysis and computational journalism at Columbia University.

Instructor: Mark Hansen, David and Helen Gurley Brown Professor of Journalism and Innovation; Director, David and Helen Gurley Brown Institute of Media Innovation, Columbia Journalism School, and Professor, Department of Statistics

*Please note the change in location

GenAI Tools for Writing and Presentation

Monday, March 25, 2024; 1:00 PM-3:00 PM

About: This session will introduce you to using ChatGPT and other tools for academic writing, including topics such as drafting communications, making posters and presentations, brainstorming ideas, and organizing notes.

Instructor: Stephanie Moody, Lecturer II, English Department and Sweetland Center for Writing

From Search to Synthesis: AI Tools for Literature Discovery and Summarization

Monday, April 22, 2024; 10:00 AM-12:00 PM

About: 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.

Instructors:
Jamie Niehof, Senior Associate Librarian, Library Research
Tyler Nix, Associate Director, Research & Informatics, Taubman Health Sciences Library
Sarah Barbrow, Assistant Director, Engineering Librarian

Putting it all together: Farm-to-table GenAI

Monday, May 13, 2024; 12:00 PM – 3:00 PM

Instructor: Juan Gutierrez, Professor, Chair of Mathematics, University of Texas at San Antonio

Data Analysis II, Quantitative Data

Tuesday, May 14, 2024; 10:00 AM-12:00 PM

Instructor: Fred Feinberg, Joseph Handleman Professor, Professor of Marketing, Stephen M Ross School of Business and Professor of Statistics, College of Literature, Science, and the Arts

Data Analysis III, Visualization and presenting information

Wednesday, May 29, 2024; 10:00 AM-12:00 PM

Instructor: James Boyko, Schmidt AI in Science Postdoctoral Fellow, Michigan Institute for Data Science

Past Events – Winter 2024

An Introduction to Generative AI Tools for Research

Friday, February 16, 2024; 10:00 AM-12:00 PM

About: This session will introduce you to some useful ways to incorporate Generative AI tools in your research, including a brief outline of tools and topics to be covered in depth in the subsequent sessions. It will also include an introduction to prompting with ChatGPT.

Instructor: James Boyko, Schmidt AI in Science Postdoctoral Fellow, Michigan Institute for Data Science

VIEW RECORDINGVIEW SLIDES

Past Events – Fall 2023

During the Fall ’23 semester, MIDAS and the Michigan AI Laboratory jointly offered the inaugural series of Generative AI tutorials, aimed to help researchers across fields to incorporate Generative AI tools and methodologies in their research. Each session consisted of lectures, demonstrations, and hands-on tutorials. See below for session recordings, materials, and slides where available.

See also: MIDAS, Michigan AI Lab host interactive generative AI workshopThe Michigan Daily

Making Generative AI Better for You: Fine-tuning and Experimentation for Custom Research Solutions

November 29, 2023

Making Generative AI Better for You: Fine-tuning and Experimentation for Custom Research SolutionsShane Storks, Graduate Student Research Assistant, Computer Science and Engineering, College of Engineering

VIEW RECORDINGVIEW SLIDES

Tutorial: Fine-tuning LLMSShane Storks, Graduate Student Research Assistant, Computer Science and Engineering, College of Engineering

VIEW RECORDINGMATERIALS

Integrating Generative Image AI into Your Research Workflow

October 27, 2023

Generative Image Models in Research – Jeong Joon Park, Assistant Professor of Electrical Engineering and Computer Science, College of Engineering

VIEW SLIDES

Tutorial: Generative Adversarial Networks (GANs)Anthony Carreon, Graduate Student Research Assistant, Aerospace Engineering, College of Engineering

MATERIALS

Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency

October 18, 2023

Using Generative AI to Enhance Coding in Research – Sindhu Kutty, Lecturer IV in Electrical Engineering and Computer Science, College of Engineering

VIEW RECORDINGMATERIALS

Tutorial: Using Generative AI to Improve Your Code (focusing on Python but applicable to other languages too) – Qiyuan Zhao, Research Fellow, Medicinal Chemistry, College of Pharmacy

VIEW RECORDINGMATERIALS

Writing, Planning and Literature Review: Enhancing Professional Productivity with Generative AI

October 2, 2023

Ethical Considerations for Using Generative AI in Research – H. V. Jagadish, Edgar F Codd Distinguished University Professor of Electrical Engineering and Computer Science, Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science, Professor of Electrical Engineering and Computer Science, College of Engineering; Director of the Michigan Institute for Data Science

VIEW SLIDES

Tutorial: Using Generative AI to Enhance Research Workflows James Boyko, Schmidt AI in Science Postdoctoral Fellow, Michigan Institute for Data Science

VIEW SLIDES