The Chicago Approach to Data Science and AI

The Chicago Approach to Data Science and AI Program Speakers: Ka Yee C. Lee, Interim Dean of the Physical Sciences Division, Former Provost, The University of Chicago Dan Nicolae, Elaine M. and Samuel D. Kersten, Jr. Distinguished Service Professor in the Departments of Statistics and Medicine and the College; Faculty Codirector, Data Science Institute Rebecca Willett, Professor of Statistics and Computer Science and Faculty Director of AI, Data Science Institute Nick Feamster, Neubauer Professor of Computer Science; Director of Research, Data Science Institute David Uminsky, Senior Research Associate, Department of Computer Science, Executive Director, Data Science Institute Michael Franklin, Morton D. Hull Distinguished Service Professor in the Department of Computer Science and the College; Senior Advisor to the Provost for Computing and Data Science; Faculty Codirector, Data Science Institute While data science and AI seem to exist in the cloud, the University of Chicago is on the ground advancing research and designing applications with real-world implications for climate change, medicine, and self-driving cars. Learn how are researchers in the Data Science Institute are meeting the challenges of AI theory and practice here in Chicago. Originally recorded in Chicago on January 24, 2024. ➡ Subscribe: About #UChicago: Since its founding in 1890, the University of Chicago has been a destination for rigorous inquiry and field-defining research. This transformative academic experience empowers students and scholars to challenge conventional thinking in pursuit of original ideas. #UChicago on the Web: Home: News: Facebook: Twitter: Instagram: University of Chicago on YouTube: *** ACCESSIBILITY: If you experience any technical difficulties with this video or would like to make an accessibility-related request, please email digicomm@uchicago.edu.,

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