Hi, I'm Dana. I'm an AI policy researcher at OECD.AI. My current research focuses on both the design of tools and engagement mechanisms for AI policymakers, particularly those from emerging and developing economies.
Prior to joining the OECD, I was advised by Dylan Hadfield-Menell, Elsa Olivetti, Emőke-Ágnes Horvát, and Juho Kim. Working alongside experts in technical AI safety, supply chain systems, network science, and human-computer interaction, I found myself navigating an incredibly dynamic research landscape. While these experiences occasionally brought moments of existential crisis as a researcher, they ultimately strengthened my adaptability and the versatility needed to tackle real-world challenges of governing advanced AI systems and fostering international cooperation. Looking back, it feels like everything happened for a reason—or at least, we can choose to see it that way!
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].
Education
Recent News
Mar 29, 2026: Facilitated a co-creation workshop on the AI Policy Toolkit and the Southeast Asian AI Dialogue on Global Challenges and Local Opportunities
Jan 22, 2026: Delivered a seminar on "AI Tools for Policy Analysts" for the OECD Trade and Agriculture Directorate
Aug 6, 2025: Invited to the ASEAN AI Safety Network Consultative Workshop
Jul 15, 2025: Launched the OECD.AI Policy Navigator!
Feb 11, 2025: Participated in a panel on Risk Management Frameworks for Advanced AI Developers.
Feb 7, 2025: Co-organizing a panel on Thresholds for Frontier AI with the UK AI Safety Institute. See you at the Conference on AI, Science, and Society, an official satellite event of the France AI Action Summit!
Feb 6-7, 2025: Attending IASEAI in Paris!
Publications
2024
Dambanemuya, H.*, Choi, E.*, Gergle, D., & Horvat, E-A. (2024). Beyond Words: An Experimental Study of Signaling in Crowdfunding. TOCHI. (Accepted for presentation at CHI 2025 Journals track.)
2023
Choi, E. (2023). Who, When, How (Not) to Imitate? The Role of Imitation in Collective Intelligence, and Its Implications on the Design of Socio-Technical Systems. MIT Thesis.
Bhuwalka, K., Choi, E., Moore E. A., Roth R., Kirchain R.E., & Olivetti E. A. (2023). A Hierarchical Bayesian Regression Model that Reduces Uncertainty in Material Demand Predictions. Journal of Industrial Ecology.
2022
Choi, E.*, Ko, E.*, Jang, J., & Kim, J. (2022). Capturing Diverse and Precise Reactions to a Comment with User-Generated Labels. WWW.
2019
Choi, E. & Horvat, E-A. (2019). Airbnb’s Reputation System and Gender Differences Among Guests: Evidence from Large-Scale Data Analysis and a Controlled Experiment. International Conference on Social Informatics.