News

On April 2nd, 2025, a proposal by five AI in Science Fellows at the Michigan Institute for Data and AI in Society (MIDAS) was awarded by the Schmidt Sciences Community Initiative Fund. They will receive $100K in funding to organize a workshop focused on Knowledge-Guided Machine Learning (KGML) at the University of Michigan, Ann Arbor. KGML is ...

MIDAS congratulates Mark S. Daskin, Margaret C. Levenstein, Sally Oey, Arvind Rao, and Stephen Smith who have earned election to the American Association for the Advancement of Science in 2024.  For more, read the article on The Record.

Courtesy Announcement: Call for Proposals As part of OpenAI’s recently announced NextGenAI research partnership, the University of Michigan will launch a collection of new projects advancing the state of art and practice in artificial intelligence, covering a range of topic areas and investigative approaches.

In addition to making predictions and scientific discoveries, U-M engineers at the MIDAS symposium discussed improving AI’s interpretability and preventing misuse.

The Michigan Institute for Data and AI in Society (MIDAS), in a new partnership with the Michigan Institute for Clinical & Health Research (MICHR) and the Institute for Healthcare Policy & Innovation (IHPI), has established a new funding track dedicated to supporting health sciences, broadly defined, for the 2025 cycle of the Propelling Original Data ...

University of Michigan researcher Ambuj Tewari shines a light on groundbreaking cost-saving methods in AI development—and the ethical quandaries they may present. In a recent article for The Conversation, he highlights how the Chinese startup DeepSeek is redefining the financial landscape for creating advanced AI systems. Traditionally, developing these cutting-edge models can drain resources, often ...

Breaking Ground: Collaborative Design of Data and AI Systems for Science and Society January 14-15, Michigan League — Ann Arbor, MI The Research and Development Strategic Visioning (RDSV) team launched its inaugural workshop on the Collaborative Design of Data and AI Systems for Science and Society, bringing together a diverse group of experts to explore ...

As AI brings about enormous opportunities as well as high risks, we are at a critical moment to shape how AI transforms science and society. New projects at the Michigan Institute for Data and AI in Society (MIDAS) mark its intensified effort to help academia, industry, government and community collaborate with each other to shape ...

The Michigan Institute for Data & AI in Society (MIDAS) and the Academic Data Science Alliance (ADSA) teamed up this past week to host the University of Michigan Annual Data Science and AI Summit, held in conjunction with the Academic Data Science Alliance Annual Meeting Oct. 29-31 at the Michigan Union.  The gathering attracted 275-plus ...