Eunseo Dana Choi

Hi! I am a dual S.M. student in Computer Science and Technology Policy at MIT, advised by Dylan Hadfield-Menell. In previous years, I worked with Emőke-Ágnes Horvát, Darren Gergle, Juho Kim, and Elsa Olivetti. Before coming to MIT, I received a B.A. in Statistics and B.A. in Economics with Kellogg Certificate in Managerial Analytics from Northwestern University.

In my spare time, I like to take a stroll, play with oil pastels, and appreciate others’ creative and artistic talents – here’s my (current!) favorite [playlist | webtoon | art | recipe].

Github  /  Google Scholar  /  LinkedIn  /  Twitter

email : choie [at] mit [dot] edu

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My research focuses on reverse-engineering cooperative intelligence among humans, with the goal of informing the design and governance of value-aligned humans and AI systems. Through computational models like reinforcement learning and large language models, I am currently exploring scalable, efficient, and integrated approaches for social scientists to study humans.

crowdfunding Hidden Influences of Crowd Behavior in Crowdfunding: An Experimental Study
Henry K. Dambanemuya, Eunseo Choi, Darren Gergle, Emőke-Ágnes Horvát
(Submitted to the ACM Transactions on Computer-Human Interaction (TOCHI))
International Conference on Computational Social Science (IC2S2), 2022
[ Preprint ]

demand_prediction A hierarchical Bayesian regression model that reduces uncertainty in material demand predictions
Karan Bhuwalka, Eunseo Choi, Elizabeth A. Moore, Richard Roth, Randolph E. Kirchain, Elsa Olivetti
Journal of Industrial Ecology, 2022
[ Paper ]

ugl_reactions Capturing Diverse and Precise Reactions to a Comment with User-Generated Labels
Eunyoung Ko*, Eunseo Choi*, Jeongwoo Jang, Juho Kim
ACM Web Conference (formerly WWW), 2022
[ Paper / Project Page ]

airbnb_reputation Airbnb’s Reputation System and Gender Differences Among Guests: Evidence from Large-Scale Data Analysis and a Controlled Experiment
Eunseo Choi, Emőke-Ágnes Horvát
International Conference on Social Informatics, 2019
[ Paper / Slides ]

insurance_rec Policy Recommendations for Regulating the Use of AI for Decision-making in Insurance
Eunseo Choi*, Jason Yang*, Muhua Xu*, David Edelman (advisor), Hal Abelson (advisor)
Term Paper for Foundations of Information Policy (@MIT IPRI)
Selected as Exemplary Paper in 2021
[ Non-Archival Policy Paper ]

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