Research Summary
Research Summary
Overview
By: Isamar Troncoso
Description
Professor Troncoso's research explores problems related to digital marketplaces and AI applications in marketing, and combines toolkits from econometrics, causal inference, and machine learning. She has studied how different platform design choices can lead to unintended consequences on their users' behavior, including how management responses in online review platforms can lead to selective attrition of female reviewers, and how using profile pictures in online labor marketplaces affects the choice of service providers.
Professor Troncoso's research has also explored how to leverage machine learning methods to study product competition in today's large product assortments.