2025 Causal Science Center Conference

Event Details:

Wednesday, November 19, 2025
8:30am - 5:00pm PST

Location

Simonyi Conference Center, CoDa, 389 Jane Stanford Way, Stanford, CA 94305
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This event is open to:

Faculty/Staff
Postdocs
Students
Register Here

Join us for a one-day conference hosted by the Stanford Causal Science Center (SC²), bringing together our community to explore the breadth of work in causal inference, spark new connections, and help chart the path forward.

The program will feature graduate students and postdocs presenting both cutting-edge methods and real-world applications through a dynamic mix of 15-minute talks and a poster session.

Agenda

TimeSession NameSpeaker(s)
8:30-9:00 AMRegistration & Breakfast 
9:00-9:15 AMWelcomeGuido Imbens
9:15-10:15 AMSession 1 — Chair: Guido Imbens 
 Causal Inference in Dynamic Thresholding DesignsAditya Ghosh
 Active Learning for Stochastic Contextual Linear BanditsIshani Karmarkar
 Shortlist ExperimentsChao Qin
 Causal Selection Decisions: An Almost SURE ApproachTimothy Sudijono
10:15-10:35 AMBreak 
10:35-11:35 AMSession 2 — Chair: Stefan Wager 
 Synthetic IV Estimation in PanelsJaume Vives
 Estimating Variances for Causal Panel Data EstimatorsAlexia Olaizola
 Weight and See: A Normative Approach to Convex Weighting EstimatorsSarah Vicol
 Learning Treatment Representations for Downstream Instrumental Variable RegressionShiangyi Lin
11:35 AM-12:35 PMLunch 
12:35-1:35 PMSession 3 — Chair: Steven Goodman 
 Quasi-Experimental Evaluation of Treatment for Non-small Cell Lung Cancer: Real-World Evidence from the USMax Schuessler
 Causal Examination of Temporal and Semantic Factors in Conspiracy Sharing on XFabian Tschofenig
 Evaluating Algorithm-Assisted Decision-Making: Estimands and Experimental Designs in the Presence of Exposure-Time Dependent Treatment EffectsMaggie Wang
 Germline mtDNA Variants as Instruments for Causal Inference in Tumor Mitochondrial GenomicsMengran Zhang
1:35-1:55 PMBreak 
1:55-2:55 PMSession 4 — Chair: Ramesh Johari 
 Reconstructing Innovation Counterfactuals: Synthetic Control and SDID in the Microsoft Antitrust CaseCuehyon Kim
 Estimation under Nonstationarity via the Truncated Policy Gradient EstimatorWenqian Xing
 Self-Preferencing as a Fairness Provision: A General DefinitionAndreas Haupt
 Many Hands Make Light Work: Long-Term Effect Inference for the Experiment ReservoirWill Hartog
2:55-3:00 PMClosing RemarksRamesh Johari
3:00-5:00 PMPoster Session and Reception 

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