Sotabase

Career

· Gordon McKay Professor of Computer Science, Harvard University2015–
· Professor, Harvard University2015–
· John L. Loeb Associate Professor of Natural Sciences, Harvard University2013–
· Assistant Professor, Harvard University2008–2012
· Postdoctoral Research Scientist, Yahoo! Research2006–2008
· Ph.D. in Information Sciences and Technology, Pennsylvania State University2005–
· Master's Degree in Economics, Tsinghua University1999–
· Bachelor's Degree in Economics, Renmin University of China1996–
· Assistant Professor, Framingham State College

Publications (178)

Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015
Nature Human Behaviour · 2018
1,195
cited
The Principles and Limits of Algorithm-in-the-Loop Decision Making
Proc. ACM Hum. Comput. Interact. · 2019
351
cited
Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments
FAT · 2019
286
cited
Using prediction markets to estimate the reproducibility of scientific research
Proceedings of the National Academy of Sciences of the United States of America · 2015
264
cited
Truth, justice, and cake cutting
Games Econ. Behav. · 2010
203
cited
A Utility Framework for Bounded-Loss Market Makers
Conference on Uncertainty in Artificial Intelligence · 2007
178
cited
A Short-term Intervention for Long-term Fairness in the Labor Market
The Web Conference · 2017
141
cited
Better Human Computation Through Principled Voting
AAAI Conference on Artificial Intelligence · 2013
137
cited
Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing
AAAI Conference on Human Computation & Crowdsourcing · 2013
134
cited
Designing incentives for online question-and-answer forums
Games Econ. Behav. · 2014
123
cited
Truthful Mechanisms for Agents That Value Privacy
ACM Conference on Economics and Computation · 2011
113
cited
Gaming Prediction Markets: Equilibrium Strategies with a Market Maker
Algorithmica · 2010
111
cited
A new understanding of prediction markets via no-regret learning
ACM Conference on Economics and Computation · 2010
109
cited
Human mobility networks reveal increased segregation in large cities
Nature · 2023
106
cited
Learning Strategy-Aware Linear Classifiers
Neural Information Processing Systems · 2019
102
cited
Output Agreement Mechanisms and Common Knowledge
AAAI Conference on Human Computation & Crowdsourcing · 2014
102
cited
Efficient Market Making via Convex Optimization, and a Connection to Online Learning
TEAC · 2013
100
cited
Fair classification and social welfare
FAT* · 2019
99
cited
Toward automatic task design: a progress report
AAAI Conference on Human Computation & Crowdsourcing · 2010
87
cited
Strategyproof Linear Regression in High Dimensions
ACM Conference on Economics and Computation · 2018
86
cited
Sotabase
Yiling Chen | Researcher Profile | Sotabase | Sotabase