Spillover Effects in Online field experiments: Opportunities and challenges | WINE’2021 Experiment Design
Eaman Jahani
Hi! My name is Yuan Yuan ( 袁 源 ). I am a computational social scientist and an assistant professor in Management Information Systems at the Daniels School of Business (MIS area) at Purdue University . I am interested in Social and Organizational Networks : leveraging big data and advanced computational techniques (e.g., machine learning and causal inference) to study social and organizational networks. Examples include network formation , network dynamics , social contagion , and prosocial behavior . Experi
Before Purdue, I did my PhD in Institute for Data, Systems, and Society (IDSS) at Massachusetts Institute of Technology. I received my Bachelor's degrees with honors in Computer Science and Economics from Tsinghua University.
Since summer 2022, I am visiting Microsoft Office of Applied Research (part-time). I was a research intern at Facebook Core Data Science (current Meta Central Applied Science) in summer 2020.
Spillover Effects in Online field experiments: Opportunities and challenges | WINE’2021 Experiment Design
Eaman Jahani