MIDAS

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ICYMI: Generative AI Tutorial Series Recordings
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Technology Meets Creativity: A Workshop on AI and Creative Arts
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Generative AI Resources
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What Is AI in Science?

Spotlight on Research

November 17, 2023
Dr. Jing Liu, MIDAS Executive Director, on AI-enabled “research assembly lines” in an interview with Forbes

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https://www.forbes.com/sites/peterandrewwilkins/2023/11/14/racing-against-time-why-scientists-may-use-ai-research-assembly-lines/?sh=147043e053d6
October 24, 2023
MIDAS affiliates Yang Chen, Liang Qi and team receive $2M for project using machine-learning to fast track stronger alloys.

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https://news.engin.umich.edu/2023/10/2m-to-fast-track-stronger-alloys/
September 20, 2023
MIDAS awarded $2.3M to develop national training program in the rigor and reproducibility of biomedical research

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https://record.umich.edu/articles/midas-gets-2-3m-to-develop-national-training-program/
September 20, 2023
U-M center gets $5M to study climate change impacts on water, MIDAS affiliate faculty Drew Gronewold to lead.

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https://record.umich.edu/articles/u-m-center-gets-5m-to-study-climate-change-impacts-on-water/
September 11, 2023
MIDAS affiliate faculty Xun Huan and U-M team awarded $7.5 million to predict and communicate flood risk.

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https://news.engin.umich.edu/2023/08/7-5-million-to-predict-and-communicate-flood-risk/

Upcoming Events

December 6, 2023
Rewriting Conventional Societal Narratives with Data and AI

https://midas.umich.edu/rewriting-conventional-narratives/
January 8, 2024
Welcome-back Faculty Social

https://midas.umich.edu/2024-faculty-social/
February 22, 2024 – February 23, 2024
Interdisciplinary Open Science in Social and Behavioral Research Mini-symposium

https://midas.umich.edu/interdisciplinary-open-science-mini-symposium/
March 18, 2024 – March 19, 2024
The future of discovery in the age of human-AI collaboration: AI in Science & Engineering annual symposium

https://midas.umich.edu/ai-se-annual-symposium/
March 21, 2024 – March 22, 2024
Understanding Biodiversity in a Changing Planet mini-symposium

https://midas.umich.edu/understanding-biodiversity-symposium

The Michigan Institute for Data Science strengthens the University of Michigan’s preeminence in Data Science and Artificial Intelligence and enables their transformative use in a wide range of research disciplines to achieve lasting societal impact.

MIDAS By The Numbers

520

Affiliated Faculty

186

Externally Funded Research Projects Enabled

Data Science and AI Postdocs

Public and Private Sector Partners