The ADSA Annual Meeting convenes data science practitioners from all disciplines and career stages to share state-of-the-art approaches in data science research and education, with a strong emphasis on responsible data science. We encourage new, untested ideas to promote brainstorming for innovation,collaborative feedback, and engaging discussions. One focus of this meeting is building new collaborations, which we facilitate through networking and sessions that focus on data types.
This year, the theme of the conference was: 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 & AI in Society, drew 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 explored 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.
Jing Liu (PC Chair) - University of Michigan
Peter Alonzi - University of Virginia
Drew Casey - Texas A&M
Rishabh Goel - GEn1E Lifesciences
James B. Harr III - Christian Brothers University/North Carolina State University
Jillian Morrison - The Ohio State University
Emmy Tither - University of Illinois at Urbana-Champaign
Thank you to our sponsors!