October 26th, 2026
Monday, October 26, 2026 | McNamara Alumni Center, University of Minnesota Twin Cities
October 26th, 2026
Monday, October 26, 2026 | McNamara Alumni Center, University of Minnesota Twin Cities
Sponsored by:
The Women in AI and Data Science Conference (WiADS) brings together researchers, students, educators, industry professionals, entrepreneurs, and community leaders to explore the evolving impact of artificial intelligence and data science.
Hosted by the AI Hub, WiADS is a space to learn, connect, and exchange ideas about how AI is shaping research, education, healthcare, business, public policy, and society. Through inspiring talks, engaging conversations, and opportunities to build meaningful connections, the conference highlights diverse perspectives and the people driving innovation across the field.
WiADS is especially dedicated to amplifying the voices and experiences of women, non-binary, and gender-diverse professionals in AI and data science. At the same time, everyone is welcome. We invite people of all backgrounds, disciplines, career stages, and levels of experience to join us.
This website is your central hub for WiADS 2026, with information about speakers, the agenda, resources, and the latest updates leading up to the event.
Join us for a day of learning, connection, and discovery as we explore where AI and data science are headed and the many perspectives that will help shape their future.
New to WiADS? Explore highlights from our 2024 and 2025 conferences, watch session recordings, revisit speaker presentations, and discover how our community is advancing the future of AI and data science. Browse past event resources and catch up on the conversations that continue to inspire innovation and inclusion.
Meredith Broussard is a professor at the Arthur L. Carter Journalism Institute of New York University and the research director at the NYU Alliance for Public Interest Technology. She is the author of the book, More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech (MIT Press, 2023), as well as the award-winning 2018 book Artificial Unintelligence: How Computers Misunderstand the World. Her research focuses on artificial intelligence in investigative reporting, with particular interests in AI ethics and using data analysis for social good. She appears in the Emmy-nominated documentary “Coded Bias,” now streaming on Netflix. Her work has been supported by the Rockefeller Foundation, the Institute of Museum & Library Services, and the Tow Center at Columbia Journalism School. A former features editor at the Philadelphia Inquirer, she has also worked as a software developer at AT&T Bell Labs and the MIT Media Lab. Her features and essays have appeared in The New York Times, The Atlantic, Slate, Vox, and other outlets.
Our 2026 Speaker Lineup
- Event Archive -
For the last two editions, MinneWiADS has been a remarkable success, bringing together leaders, experts, and enthusiasts—especially those who identify as women and non-binary—to exchange knowledge, foster connections, and inspire one another. This free conference has featured technical sessions, business applications, panel discussions, and valuable opportunities to connect with peers in the analytics community, creating a platform for women in data science to thrive. Take a look at the previous events to see who spoke, explore the talks, and access slides from the presentations.
Over 1,000 attendees from 378 organizations
Keynote presentations and technical talks from leading AI and data science experts
Networking sessions and interactive panels fostering collaboration and mentorship
Over 800 attendees from 378 organizations
Keynote presentations and technical talks from leading AI and data science experts
Networking sessions and interactive talksfostering collaboration and mentorship