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Michigan Institute for Data Science (MIDAS) Seminars

Upcoming Seminars

MIDAS Symposium | The AI in Science and Engineering annual symposium

8:00am – 5:00pm in Forum Hall, Palmer Commons

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Past Seminars

Other Event | MIDAS Seminar

MIDAS Annual Data Science & AI Summit 2023

8:30am – 5:30pm in Rackham Graduate School

MIDAS Seminar | Symposium

MIDAS mini-symposium | AI-driven Research Workflows

8:30am – 5:00pm in Weiser Hall

MIDAS Seminar | Symposium

MIDAS mini-symposium | Generative AI: Diffusion Models for Scientific Machine Learning

8:30am – 5:00pm in Weiser Hall

NSF Priorities and Opportunities for Data Science and AI

Dr. Pamela Davis-Kean, Program Director, Developmental Science Program of the NSF SBE Directorate

2:30pm – 4:30pm

An Under the Hood Look at Generative AI: Potentials and Pitfalls | Generative AI Coast-to-Coast Series

David Evan Harris, Senior Research Fellow,
International Computer Science Institute

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; ,
University of Michigan

Sarah Stone: Moderator, Executive Director, eScience Institute,
University of Washington

3:00pm – 4:30pm

Conversations on Policy, Ethics, and Generative AI | Generative AI Coast-to-Coast Series

Marjory Blumenthal

Merve Hickok, President, Center for AI & Digital Policy,
School of Information – University of Michigan

Jing Liu : Moderator, Executive Director, Michigan Institute for Data Science,
University of Michigan

1:00pm – 2:30pm

Generative AI in the Lab | Generative AI Coast-to-Coast Series

Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering,
The Ohio State University

Arlei Silva, Assistant Professor of Computer Science,
Rice University

Angela Wilkins: Moderator, Executive Director, Ken Kennedy Institute,
Rice University

1:00pm – 2:30pm

NSF Priorities and Opportunities for Data Science and AI

Dr. Alfred Hero, Program Director in the NSF CISE Directorate, and the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and R. Jamison and Betty Williams Professor of Engineering, University of Michigan

1:00pm – 2:30pm in 340 West Hall

From Theory to Practice: Building Ethical and Trustworthy AI

9:00am – 5:00pm in Johnson Rooms, Lurie Engineering Center (3rd floor)

Data and AI in Society Forum Series: Generative AI, Composition, and Creativity

3:30pm – 4:30pm in Watkins Lecture Hall, Earl V. Moore Building, School of Music

Responsible Data Science and AI mini-symposium

1:30pm – 5:30pm in Rackham 4th floor Amphitheater

MIDAS Seminar | Women in Computing | Alumni

Beyond the First Portrait of a Black Hole

Katie Bouman, Assistant Professor, Computing and Mathematical Sciences, Caltech

4:00pm – 5:00pm in Remote/Virtual

U-M Data Science Annual Symposium 2020

With Prof. David Fouhey and Prof. Jason Corso

9:00am – 5:00pm in Remote/Virtual

Data Science and Politics

David Shor, SuperPAC Data Scientist, Democratic Consultant

8:00am – 5:00pm

MIDAS Reproducibility Day

2:00pm – 5:00pm

Beyond Algorithmic Fairness: What Social Justice Needs from Data Science

Kentaro Toyama, Professor of Community Information, Professor of Information, School of Information, University of Michigan

4:00pm – 5:00pm

MIDAS Reproducibility Challenge Showcase

Chris Brooks, Assistant Professor of Information – School of Information, University of Michigan

1:00pm – 2:00pm

“Is AI Racist?”

Dr. Jagadish and Other Experts, Professor, Electrical Engineering and Computer Science , Director of the Michigan Institute for Data Science

4:30pm – 5:30pm

MIDAS Reproducibility Challenge Showcase: #6

Sharon Glotzer, Professor, Chemical Engineering and Materials Science & Engineering, U-M

1:00pm – 2:00pm

MIDAS Reproducibility Challenge Showcase: Sharon Glotzer – An Open Software Approach for Reproducible Research for Materials Design

SHARON GLOTZER, Professor – Chemical Engineering and Materials Science and Engineering, University of Michigan

1:00pm – 2:00pm

MIDAS Reproducibility Challenge Showcase: #5

John Silberholz & Nigel Michki, Associate Professor, Technology & Operations, U-M & Doctoral student, Biophysics, U-M

1:00pm – 2:00pm

A Mobile/wearable Platform for Collecting Data on Sleep and Circadian Rhythms in the Time of COVID

Danny Forger, Professor of Computational Medicine, Bioinformatics, & Mathematics, U-M, University of Michigan

1:00pm – 2:00pm

A Scalable Tool for Longitudinal Twitter Analysis

Al Hero & Walter Dempsey, Professor, EECS & Engineering, U-M & Assistant Professor, School of Public Health, UM, University of Michigan

1:00pm – 2:00pm

MIDAS Seminar | Student Event

A Data Scientist Plays Games

Nick Berry, Data Scientist, Formerly with Microsoft, GameHouse, and Facebook

12:00pm – 1:30pm in Remote/Virtual

Is It Possible to Democratize AI for Business

Jen Stirrup, Regional Director

3:30pm – 4:30pm in 340 West Hall

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