Learning from Location Big Data: The Socio-Economic Value and Tradeoffs | Duke Kunshan University

Learning from Location Big Data: The Socio-Economic Value and Tradeoffs

E.g., 01/20/2022
E.g., 01/20/2022
20:00 to 21:00
Online

Beibei Li is the Anna Loomis McCandless Chair and an associate professor of IT and management at Carnegie Mellon University

The fast penetration of smart mobile and sensor technologies, combined with the wide adoption of location services, has produced a vast volume of atomic, behavior-rich mobile consumer location data. Such “location big data” have led to the pervasive digitization of individual behavior at a very fine-grained level. This information provides us with a new lens through which we can better monitor, understand, evaluate, and optimize the individual decisions and policymaking to improve economic welfare. This talk by Beibei Li presents some recent studies in which we apply novel machine learning, spatial-temporal data mining, econometrics and randomized experimental methods to discern the socio-economic value and tradeoffs in learning from location data.

Zoom: Link

This event is open to DKU community members only.
 

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