Enhancing Efficiency and Robustness for Switchback Experiments: A Practical Model-assisted Design and Analysis Switchback experiments are increasingly employed when traditional A/B testing is impractical due to constraints such as user randomization limitations or interference among experimental units. In the presence of carryover effects, however, existing designs often face challenges like a low statistical power, a…
Causal Seminar: Alex Luedtke
DoubleGen: Debiased Generative Modeling of Counterfactuals Generative models for counterfactual outcomes face two key sources of bias. Confounding bias arises when approaches fail to account for systematic differences between those who receive the intervention and those who do not. Misspecification bias arises when methods attempt to address confounding through estimation of an auxiliary model, but…
Causal Seminar: Davide Viviano
Title, abstract, and location TBD Davide Viviano Assistant Professor of Economics, Harvard Faculty of Arts and Sciences Davide Viviano is an Assistant Professor in the Department of Economics at Harvard University. His primary research interests are in econometrics. His research combines economics and data science to develop or justify statistical methods for applications in social sciences,…
Causal Seminar: Rui Duan
Title, abstract, and location TBD Rui Duan Assistant Professor of Biostatistics, Harvard T.H. Chan School of Public Health Rui Duan is an Assistant Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. She is also a primary faculty member in the Department of Epidemiology and an affiliate of the Harvard Data Science…
Causal Seminar: Francesca Dominici
Causal AI: Solution or Obstacle for Climate Action? Artificial Intelligence is revolutionizing research, education, and business, unlocking unprecedented opportunities across climate, health, and beyond. In our lab, we’re developing the first foundation model for healthy climate adaptation, pre-trained on the complete US Medicare dataset and enriched with nationwide Census, weather, and pollution data. This model…