Public – Private Partnerships
MIDAS builds public – private partnership to advance data science and AI research; enhance the scientific and societal impact of such research; and develop a diverse, equitable and inclusive data science and AI research workforce. Our current efforts include:
- Organizing a national conversation to chart a new roadmap of public-private partnership for research and innovation in the AI Era
- Building a model of public-private partnership to develop significant research and development directions
- Collaboration with Microsoft to support research on responsible AI and AI policy
- Center for Data-Driven Drug Development and Treatment Assessment (DATA), an Industry-University Cooperative Research Center funded by the National Science Foundation
Academic Collaboration
MIDAS is a founding member of the Academic Data Science Alliance, a national organization for data science centers / institutes / programs. MIDAS is also a leading member of the Midwest Big Data Innovation Hub funded by the National Science Foundation.
MIDAS builds research collaboration and facilitates the exchange of research ideas across academic data science and AI institutes. Examples include the Data Science Coast-to-Coast (DS C2C) webinar series (2020-2021) and the Generative AI Coast-to-Coast (GenAI C2C) webinar series (2023). In addition, MIDAS collaborates with and supports Minority-Serving Institutions as they increase data science and AI research and training capacity. An example is our collaboration with Jackson State University and the University of Texas San Antonio to offer the training program on Data- and AI-Intensive Research with Rigor and Reproducibility (here add link).
Future Leaders Summit
The Future Leaders Summit, an annual event that MIDAS started in 2019, offers outstanding graduate students, postdocs, and early-career faculty from around the US. With “responsible data and AI” as the theme, we provide opportunities for attendees to engage in research discussions with peers and with research leaders and receive career mentoring, as they grow to become leaders in data science and AI research.
Data and AI for Social Good
MIDAS collaborates with community partners and supports the rigorous and fair use of cutting-edge data science and AI methods in policy making, especially those that affect marginalized communities. Such collaboration also ensures that data science and AI research is inspired by real-world challenges and rooted in real-word data. Our researchers and students help community partners define questions, design data and AI strategies, and carry out specific projects. Our current and past collaborators include Detroit, Native American Tribal Nations in Michigan, and other cities and counties in Southeast Michigan.
Current and Past Industry Collaborators
We thank all industry collaborators who have partnered with us for research; talent recruitment; and support for diversity, equity and inclusion in data science and AI research and workforce development.
- Amazon
- American Mathematical Society
- BASF
- UM Business Engagement Center
- ChinaScope
- City of Detroit
- Databricks
- DiDi
- Domino’s
- United States Environmental Protection Agency
- General Dynamics
- General Motors
- Ford Motor Company
- Google Cloud
- J.D. Power
- KLA
- Mercury Fund
- Midwest Big Data Hub
- Microsoft
- Northrop Grumman
- PeersHealth
- Procter & Gamble
- PyData Ann Arbor
- Rocket Companies, Inc.
- Ann Arbor SPARK
- TD Ameritrade
- The Chinese University of Hong Kong
- University College London
- Wacker Chemical
- Walter P. Moore
- Wells Fargo
- Yazaki