Diversity, Equity, and Inclusion (DEI) Statement for the Data Science and AI Hub (DSAI) Website:

At the Data Science and AI Hub (DSAI), we are deeply committed to fostering a culture of diversity, equity, and inclusion in all aspects of our work. We recognize the value that diverse perspectives bring to our research, education, and innovation endeavors. 

We believe that every individual, regardless of background or identity, should have equitable opportunities to contribute, succeed, and be heard within our community. We are dedicated to creating an environment where all members feel respected, valued, and supported.

Through ongoing dialogue, collaboration, and action, we strive to identify and address barriers to inclusion and to promote an atmosphere of belonging for everyone involved in the Data Science and AI Hub. We are committed to learning, evolving, and continuously improving our practices to ensure that our work reflects and serves the diverse communities we engage with.

In alignment with our mission, we pledge to uphold these values and actively work towards a more inclusive future for data science, where all voices are heard, valued, and empowered to make a difference.

 

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.