ABSTRACT:

 AI and data science are at the forefront of several fundamental advances, innovations and potential for societal impact. While there is a pertinent movement in advancing societal applications of data science / AI, there are also challenges in truly realizing that potential. In this presentation, I’ll discuss our experience in navigating research convergence for innovation to translation journey, and also opportunities and challenges to truly realize the potential of data science / AI for society.

BIO:

Nitesh Chawla is the Frank M. Freimann Professor of Computer Science and Engineering and the Founding Director of the Lucy Family Institute for Data and Society at University of Notre Dame. His research is focused on artificial intelligence, data science, and network science, and is motivated by the question of how technology can advance the common good through interdisciplinary research. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a Fellow of the Association of Computing Machinery (ACM). He is the recipient of multiple awards including National Academy of Engineers New Faculty Fellowship, IEEE CIS Outstanding Early Career Award, Rodney F. Ganey Community Impact Award, IBM Big Data & Analytics Faculty Award, and the 1st Source Bank Technology Commercialization Award. He is co-founder of Aunalytics, a data science software and cloud computing company.

Hosted by Professor Wei Wang