The University of Michigan Annual Data Science and AI Summit is the largest data science and AI event at U-M, attracting attendees from more than 100 U-M departments and more than 80 industry, government and community organizations annually.

This year, MIDAS is hosting the Annual Summit in conjunction with the Academic Data Science Alliance Annual Conference. By partnering with the Academic Data Science Alliance (ADSA) this year, we leverage the reach of this national organization for data science and AI institutes in academia, expand the scope of our Summit, and bring together data science and AI leadership, researchers and educators from around the country. Thus, this event offers a unique opportunity for local attendees to interact with hundreds of attendees from other universities, hear talks from leading experts, and participate in sessions on data science and AI research, education and societal impact.

Overview:
This year’s Annual Meeting theme is: Data Science and AI – Keeping Humans in the Loop
Data has become the essential building block for research and insight in nearly all fields. The next wave of emerging technologies, including artificial intelligence (AI), is fueled by the unprecedented amount and variety of available data. Data and data-enabled technologies promise to reshape research and discovery, as well as how we live and how society functions. ADSA’24, hosted by the Michigan Institute for Data Science, will draw our focus to humanity in data and AI – humans as data producers and data engineers, humans as AI designers and developers, humans represented in data, and humans as data and AI users and as the beneficiaries or victims of data and AI. We will explore the central role of humans in the data and AI revolution: to maximize its benefits for research and innovation; to ensure that the use of data and technologies and the insights they generate are aligned with our values and priorities; and to ensure that the future workforce are prepared to continue discovery and innovation.