American Causal Inference Conference (ACIC) 2026 — 2026-05-11 to 2026-05-14 · Salt Lake City, Utah
Annual meeting organized by the Society for Causal Inference
The Categorical Instrumental Variable Model: Characterization, Partial Identification, and Statistical Inference — 2026-04-15 · Thomas Richardson
Keynote 9:00-10:00
Difference-in-Differences Meets Synthetic Control: Doubly Robust Identification and Estimation — 2026-04-15 · Yuhang Zhang, The Chinese University of Hong Kong
Parallel Session 10:20-11:20
Omitted Variable Bias in Difference-in-Differences Designs — 2026-04-15 · Juejue Wang, Department of Statistics, University of Washington, USA
Parallel Session 10:20-11:20
Difference-in-Differences with Time-varying Continuous Treatments Using Double/Debiased Machine Learning — 2026-04-15 · Michel Haddad, Queen Mary University of London, Dept. of Business Analytics and Applied Economics, UK
Parallel Session 10:20-11:20
Design-Aware Constraint-Based Causal Discovery for Complex Survey Data — 2026-04-15 · Enrico Roma, Research group EPIDERME, Faculty of Medicine, University Paris Est Creteil, France; Department of Statistical Science “Paolo Fortunati”, University of Bologna, Italy
Parallel Session 10:20-11:20
Coarsening Causal DAG Models — 2026-04-15 · Alex Markham, Department of Mathematical Sciences, University of Copenhagen, Denmark
Parallel Session 10:20-11:20
Marginalising graphs after causal discovery — 2026-04-15 · Christine Bang, Department of Mathematical Sciences, University of Copenhagen, Denmark
Parallel Session 10:20-11:20
A Design-Based Matching Framework for Staggered Adoption with Time-Varying Confounding — 2026-04-15 · Suehyun Kim, Department of Statistics, Seoul National University, South Korea
Parallel Sessions 11:20-12:20
A Single World Intervention Simulation approach for informing equitable health policy — 2026-04-15 · Nia Kang, Department of Family Medicine, McGill University, Canada
Parallel Sessions 11:20-12:20
Right Treatment, Right Patient, Right Time, Wrong Data? Measurement Error and Dynamic Treatment Regimes — 2026-04-15 · Michael Wallace, Department of Statistics and Actuarial Science, University of Waterloo, Canada
Parallel Sessions 11:20-12:20
When the Causal Graph is Unknown, Embrace Model Pluralism — 2026-04-15 · Rohit Bhattacharya, Computer Science, Williams College, USA
Parallel Sessions 11:20-12:20
Causal Invariance and Time Reparameterizations in Block-Structured Dynamical Systems — 2026-04-15 · Tess Baker, Department of Mathematics and Statistics, McGill University, Canada
Parallel Sessions 11:20-12:20
Single-world exchangeability conditions for a large class of regimes — 2026-04-15 · Catharina Stoltenberg, Department of Biostatistics, University of Oslo, Norway
Parallel Sessions 11:20-12:20