WiADS Speakers
Makerspace Hours
Seed Grants

Your Gateway to Data Science Innovation at the University of Minnesota

Welcome to the UMN DSI, the front door to Data Science at the University of Minnesota! The DSI is a university-wide nexus of multidisciplinary collaboration and information sharing. We provide communication, coordination, integration, and amplification of campus-wide Data Science activities. The DSI also puts a spotlight on current focus areas by providing education, funding, and research assistance in our focus areas. For 2023/24 our focus areas are foundational data science and digital health and personalized healthcare delivery.

Ready to dive into data science and its applications?

Explore Data Insights with Our Seminars

Join us for insightful seminars that delve into the world of data and its foundational principles as well as its wide-ranging applications in data science. Engage with expert speakers as they explore Foundational Data Science, shedding light on its core concepts. Discover new opportunities in Digital Health and Personalized Healthcare Delivery, as our speakers unravel the transformative potential of data in this field. Stay tuned for updates on our upcoming events, and be a part of our knowledge-sharing journey!

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Catchup on the Latest News at DSI

Reflecting on a Year of Growth and Success at the Data Science Initiative

The Data Science Initiative had a successful 2024, with highlights including the WiADS Conference, a successful Spring Workshop on Generative AI, the launch of the AI Makerspace, and significant seed grants and fellowships. DSI also expanded its team and proposal efforts, setting the stage for even more innovation and collaboration in 2025.

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.

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