Become an External Partner
For External Partners, we provide a single point-of-entry to UMN’s data science ecosystem, including facilitated access to UMN faculty, researchers, data sets, students in data science, and more.
Help shape the future of data science at the UMN
Become an External Partner to share your insights!
Whether it’s a research direction, capability, or discussion topic you’ll have the opportunity to steer our focus.
The DSI also organizes first-class data science content and our External Partners get a front-row seat to workshops, seminars, and conferences that showcase the best research and ideas from across the University. For example, our annual Spring Research Workshop series (see our 2023 Spring Research Workshop on Generative AI here) and Seed Grant Showcase.
Partnership Perks
- Forge research relationships with DSI faculty at closed-door meetings and events
- Access to world-class talent at our Data Science career fair
- Newsletter on events, opportunities, and research happenings
- Facilitation of a recruiting event for your organization
- Advertise open positions or project requests in our internal newsletter, social media, and/or website - directly to UMN data science students, faculty, and researchers!
- Invitation to workshops, seminars, and conferences
- Logo on our website
- Partner-defined goals - let us know what will provide the best value for your interests! We’ll work with you to define your own goals
Catchup on the Latest News at DSI
Congratulations to Dr. Genevieve Melton-Meaux on Her Election to the National Academy of Medicine
WiADS 2024 Conference: A Day of Inspiration and Connection for Women in Data Science
On November 4th, 2024, the University of Minnesota hosted the highly anticipated Women in AI and Data Science (WiADS) Conference, organized in partnership with MinneAnalytics at the McNamara Alumni Center. This sold-out event brought together over 1,000 registrants, including over 550 in-person attendees, and showcased the work of women, non-binary, and gender-diverse voices in data science.