Maximizing the Impact of Data Science and AI Research Institutes

Interdisciplinary research institutes have been playing significant roles in academic research. Data science and AI institutes, however, often face unique challenges because of the nature of data science and AI - they are not only fields of inquiry, but are also becoming essential methodologies for all research fields. As institutions grapple with this reality, they are setting up data science and AI institutes in many different ways, with different charges, funding models, operation models, and relationships with the rest of the campus. A group of leaders of data science and AI institutes at research universities have carried out a study to understand how to best position such institutes on campus, how these institutes can add the most value to the universities, and the sustainability strategies of these institutes. In this session, we will present our findings and invite audience members to share their thoughts, all for the purpose of maximizing the impact of such institutes in academic research.