Big-Data, AI, and Public Policy

In this stream of work, I study managerial and public policy related questions using a combination of large-scale datasets, novel AI- methods and randomized experiments.

Published/Publication Process

Gentrification and Racial Distrust in Communities: Evidence from 911 Calls (link): Uttara M Ananthakrishnan (CMU), Sharique Hasan (Duke), Anuj Kumar (UFL) - Management Science (2023)

A Data-Driven Assessment of Political Messaging: Experimental Evidence from the 2024 US Elections (link): Yi-Yun Chu (CMU), Uttara M. Ananthakrishnan (CMU), Ramayya Krishnan (CMU), Ananya Sen (CMU) - Under Revision, Information Systems Review (2023)

Work in Progress

Does Occupational Licensing Improve Service Quality? : Evidence from yelp.com: Yi-Yun Chu (CMU), Uttara M Ananthakrishnan (CMU), Michael D. Smith (CMU)

Program-Ad Congruency in TV Advertising: A Multi-Modal Analysis of Thematic and Emotional Congruency:  Yi-Yun Chu (CMU), Liye Ma (UMD), Uttara M Ananthakrishnan (CMU), Michael D. Smith (CMU)

Impact of Sports Gambling Legalization on Crime - Kailing Mao (CMU), Saharsh Agarwal (ISB), Uttara M Ananthakrishnan (CMU), Dan Nagin (CMU) - Work in Progress

Impact of Sports Legalization on Lottery Sales -  Poet Larsen (USC), Uttara M Ananthakrishnan (CMU), Davide Proserpio (USC) - Work in Progress

Binge Watching and the Long-Tail - Kailing Mao (CMU), Uttara M Ananthakrishnan (CMU), Rahul Telang - Work in Progress

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