The Data Science and AI Hub (DSAI) offers sponsorships of up to $5,000 to support workshops that bring together researchers, students, and industry professionals to explore emerging trends in data science and AI. Our sponsorships help facilitate high-quality, collaborative events that drive innovation and impact in the field.

Sponsored workshops receive promotional support through DSAI’s web and print materials, as well as day-of-event branding, ensuring strong visibility. Join us in shaping the future of AI and data science by bringing impactful, interdisciplinary ideas to life.

We prioritize funding for workshops that align with the following criteria:

  1. Relevance to Data Science and/or AI – The event should focus on advancing knowledge, research, or applications in these fields.
  2. Alignment with DSAI’s Mission and Goals – The workshop should support DSAI’s commitment to fostering collaboration, education, and innovation in data science and AI.
  3. Connection to DSAI’s Focus Areas – Proposals should align with one or more of DSAI’s key research and engagement priorities.
  4. Interdisciplinary Approach – We value projects that bring together diverse perspectives across disciplines to drive meaningful progress.

Catchup on the Latest News at DSAI HUB

Reflecting on The AI in Higher Education Webinar Series

The AI Hub’s Spring Webinar Series featured Sean Masterman, Lauren Jones, and Brian Magerko, who explored AI in higher education from perspectives on learning design, equity and inclusion, and ethical research practices. While the series has concluded, the AI Hub will continue the conversation through future programming, including its upcoming fall 2026 podcast, Prompt and Purpose.

Meet the AI Hub’s new Deputy Director: Genevieve Melton-Meaux

The University of Minnesota’s leadership in computing, data science, biomedical informatics, and artificial intelligence spans decades. With nationally recognized leadership in health informatics and AI-driven healthcare innovation, the University has helped shape how data and intelligent technologies are used to improve patient care, clinical decision-making, and public health.