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Stanford Causal Science Center Conference on Experimentation

Event Details:

Friday, May 31, 2024
9:30am - 6:00pm PDT

Location

Vidalakis Dining Hall, Schwab Residential Center, 680 Jane Stanford Way, Stanford, CA 94305

This event is open to:

Alumni/Friends
Faculty/Staff
General Public
Members
Students

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. 

Agenda:

TimeSession TitleSpeaker(s)
9:30-10:00amRegistration 
10:00- 10:15amOpening RemarksGuido Imbens, Applied Econometrics Professor, Senior Fellow at the Stanford Institute for Economic Policy Research and Professor of Economics
10:15-11.45amSession 1: 
10:15-10:45amPersonalization at SpotifyMaria Dimakopoulou, Director of Machine Learning & Head of Homepage Personalization, Spotify
10:45-11:15amInterference and Other Causal Questions at GoogleJean Pouget-Abadie, Staff Research Scientist, Google
11:15-11:45amLearning Personalized PoliciesEmma Brunskill, Associate Professor of Computer Science and, by courtesy, of Education Computer Science, Stanford University
11:45am-12:45pmLunch 
12:45 - 1:30pmPoster Session & Networking Coffee 
1:30-3:00pmSession 2: 
1:30-2:00pmChallenges in Measurement at AirbnbInessa Liskovich, Head of Quality & Community Data Science, Airbnb
2-2:30Open Questions from Experimentation at Meta Dominic Coey, Director, Central Applied Science, Meta 
2:30-3:00pmNonparametric Jackknife IV Estimation and Confounding Robust Surrogate IndicesNathan Kallus, Associate Professor, Cornell University & Research Director, Netflix
3:00-3:15pmBreak 
3:15-4:45pmSession 3: 
3:15-3:45pmModeling Tradeoffs with EllipsesTom Cunningham, Data Scientist, OpenAI
3:45-4:15pmCounterfactual Model Evaluation for Uber Rides Product RecommendationAli Rauh, Director of Applied Science and Data Science, Uber; Shirley Zhu, Staff Applied Scientist, Uber
4:15-4:45pmDesign of Experiment Platforms for the Technology Sector Dawn Woodard, Distinguished Engineer, LinkedIn
4:45-6:00pmReception 

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