AI Institute for Societal Decision Making Seminar - Nikhil Garg

— 4:30pm

Location:
In Person and Virtual - ET - Gates Hillman 8102 and Zoom

Speaker:
NIKHIL GARG, Assistant Professor, Operations Research and Information Engineering (ORIE), Cornell Tech
https://gargnikhil.com/

Engineering Societal Systems for Efficiency and Equity

Modern societal and governmental decisions — what gets built and maintained, who gets access to what school, where people interview and work — are driven by computational systems. While much of the focus is on learning from data, many of the real-world challenges appear before and after the learning algorithm: can we collect accurate, unbiased, up-to-date data; and then how should we use individually accurate/noisy predictions to make efficient, equitable societal decisions, given resource constraints and population (market and strategic) effects? 

In this talk, I'll discuss our theoretical, empirical, and deployment work in tackling these challenges, in the context of crowdsourcing reporting and recommendation-matching systems, in collaboration with NYC government agencies, a university admissions team, and a platform to help discharge patients to long-term care facilities. 

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Nikhil Garg is an Assistant Professor of Operations Research and Information Engineering at Cornell Tech as part of the Jacobs Institute. He uses algorithms, data science, and mechanism design approaches to study democracy, markets, and societal systems at large. Nikhil has received the NSF CAREER, INFORMS George Dantzig Dissertation Award, an honorable mention for the ACM SIGecom dissertation award, several other best paper awards, and Forbes 30 under 30 for Science. He received his PhD from Stanford University and has spent considerable collaborating with government agencies and non-profits. 

REGISTER → to join the Zoom Meeting 

In Person and Zoom Participation.  See announcement.

Event Website:
https://www.cmu.edu/ai-sdm/events/index.html

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