Learn more about directions and nearby parking locations. The McNamara Alumni Center is also accessible via public transit and is located near the light rail and many bus lines.

The conference welcomes individuals of all gender identities and is designed for a wide audience, including students, faculty, staff, professionals, and community members interested in AI, data science, and related fields.

The submission form is closed, we encourage you to check back for WiADS 2025!

Conference presentations will be recorded and made available after the event concludes.

By default, we enable auto-captioning for virtual attendees, and can offer a variety of accessibility and accommodation options for those attending in person. Please email us at DSIevents@umn.edu with your request. Two weeks notice (October 21) will help us to better fulfill requests.

All attendees must register before the event. In-Person Admission tickets are limited and subject to availability, with registration closing on October 25th at 11:59 PM or when capacity is reached, whichever comes first. Virtual Attendance registration will remain open until November 1st at 10:00 AM

If you'd like to volunteer, select an In-Person Admission ticket. You'll be asked about volunteering during registration, and DSI staff will contact those interested.

UMN's Data Science Initiative leads pioneering research in data science. We are the front door of data science for the University of Minnesota. We envision a future where data-driven solutions tackle global challenges. Through strategic coordination and cutting-edge methodologies, we position UMN as a hub of excellence. Our goal is to make impactful contributions that provide education, funding, research assistance in data science, and informing policies that address societal issues, locally and globally. Go to the DSI site to learn more.

MinneAnalytics is a nonprofit organization serving the data science and emerging technology community in Minnesota, the Upper Midwest, and beyond by providing accessible, authentic, and engaging events. We facilitate the sharing of knowledge and ideas among analytics professionals across business, technology, and decision science through our industry-specific conferences and educational events. Go to the MinneAnalytics site to learn more.

Email any questions or concerns to DSIevents@umn.edu.