Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.
Sign Up For Latest News
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
This seminar pairs a case study of AI diffusion with an organizational approach to technological changes in the workplace.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
This one-day event brings together top experts in experimentation and causal inference—researchers, practitioners, and industry professionals—and is a unique opportunity to discuss the latest trends, cutting-edge methodologies, and their real-world applications. This event is in person only.
We are thrilled to have an excellent lineup of speakers who are leading figures in the tech industry and academia.
| Time | Session Title | Speaker(s) |
|---|---|---|
| 9:30-10:00am | Registration | |
| 10:00- 10:15am | Opening Remarks | Guido Imbens, Applied Econometrics Professor, Senior Fellow at the Stanford Institute for Economic Policy Research and Professor of Economics |
| 10:15-11.45am | Session 1: | Session Chair: Jens Hainmueller |
| 10:15-10:45am | Personalization at Spotify | Maria Dimakopoulou, Director of Machine Learning & Head of Homepage Personalization, Spotify |
| 10:45-11:15am | Interference and Other Causal Questions at Google | Jean Pouget-Abadie, Staff Research Scientist, Google |
| 11:15-11:45am | Learning Personalized Policies | Emma Brunskill, Associate Professor of Computer Science and, by courtesy, of Education Computer Science, Stanford University |
| 11:45am-12:45pm | Lunch | |
| 12:45 - 1:30pm | Poster Session & Networking Coffee | |
| 1:30-3:00pm | Session 2: | Session Chair: Emma Brunskill |
| 1:30-2:00pm | Challenges in Measurement at Airbnb | Inessa Liskovich, Head of Quality & Community Data Science, Airbnb |
| 2-2:30 | Open Questions from Experimentation at Meta | Dominic Coey, Director, Central Applied Science, Meta |
| 2:30-3:00pm | Nonparametric Jackknife IV Estimation and Confounding Robust Surrogate Indices | Nathan Kallus, Associate Professor, Cornell University & Research Director, Netflix |
| 3:00-3:15pm | Break | |
| 3:15-4:45pm | Session 3: | Session Chair: Yiquing Xu |
| 3:15-3:45pm | Modeling Tradeoffs with Ellipses | Tom Cunningham, Data Scientist, OpenAI |
| 3:45-4:15pm | Counterfactual Model Evaluation for Uber Rides Product Recommendation | Ali Rauh, Director of Applied Science and Data Science, Uber; Shirley Zhu, Staff Applied Scientist, Uber |
| 4:15-4:45pm | Design of Experiment Platforms for the Technology Sector | Dawn Woodard, Distinguished Engineer, LinkedIn |
| 4:45-6:00pm | Reception |
