Have questions about WiADS 2025? You’re not alone! Here you’ll find answers about registration, the conference format, accessibility, and more. If you don’t see your question listed, please reach out to us at DSIevents@umn.edu and we’ll be happy to help.
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.
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.
Visit z.umn.edu/WiADS25talk to submit your abstract. The submission deadline is September 15!
Can't access the submission form? Email us at DSIevents@umn.edu.
Most , if not all 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 20) will help us to better fulfill requests.
All attendees must register before the event. Registration for All Access Passes (providing in-person and virtual access) are limited and subject to availability, with registration closing on October 20th at 12:00 AM or when capacity is reached, whichever comes first. Registration for Virtual Passes will remain open until Friday, Oct 31 at 11:59 PM.
If you'd like to volunteer, select an All Access Pass. You'll be asked about volunteering during registration, and DSAI staff will contact those interested.
Registration for All Access Passes (providing in-person and virtual access) are limited, and available on a first-come, first-served basis. If they are still available, you can cancel your Virtual Pass and register for an All Access Pass. Virtual Pass registrations will be accepted until October 31 at 11:59PM.
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 note your accommodation request when you register, or email us at DSIevents@umn.edu. Two weeks notice (October 19) will help us to better fulfill requests.
UMN's Data Science & AI Hub 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. Visit the DSAI site to learn more.