Past Events

47 results

47 results

Tymon Słoczyński (Brandeis)
September 16, 2026
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12:00PM - 1:30PM EDT
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CGIS K354, 1737 Cambridge St, Cambridge, MA
Hybrid
Title Quantifying the Internal Validity of Weighted Estimands Abstract In this paper we study a class of weighted estimands, which we define as parameters that can be expressed as weighted averages of the underlying heterogeneous treatment effects. The...

Mitsuru Mukaigawara (Harvard)
September 9, 2026
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12:00PM - 1:30PM EDT
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CGIS K354, 1737 Cambridge St, Cambridge, MA
Hybrid
Title How Efforts to Contain Epidemics Intensify Civil Conflict: Application of Spatiotemporal Causal Inference to Outbreak- and Patient-Level Microdata Abstract Two-thirds of civil conflicts experience at least one epidemic, yet little is known about...

Max Cytrynbaum (Yale)
April 29, 2026
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12:00PM - 1:30PM EDT
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CGIS Knafel Building, Room K354
Hybrid
Title Coupling Designs for Randomized Experiments with Complex Treatments Abstract In this paper we introduce a new family of coupling designs , which extend the basic principle of stratified randomization to experiments with continuous, constrained...

Naoki Egami (MIT)
April 22, 2026
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12:00PM - 1:30PM EDT
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CGIS Knafel Building, Room K354
Hybrid
Title Conformal Policy Learning with Distribution-Free Safety Guarantees: Application to AI-Powered Interventions Abstract Generative AI is emerging as a new class of intervention in the social sciences, with applications designed to change attitudes and...

Xiang Meng (Harvard)
April 15, 2026
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12:00PM - 1:30PM EDT
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CGIS Knafel Building, Room K354
Hybrid
Title Reliable Inference for Matching Estimators with Control Reuse: A Single-Matching Variance Approach Abstract Matching estimators are fundamental in causal inference for drawing population-level conclusions from observational data, yet reliable...

Pedro Sant'anna (Emory University)
April 8, 2026
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12:00PM - 1:30PM EDT
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CGIS Knafel Building, Room K354
Hybrid
Title Doubly Robust Estimators with Weak Overlap Abstract D oubly robust (DR) estimators guard against model misspecification but remain sensitive to weak covariate overlap. We show that trimming extreme propensity scores reduces variance but eliminates...

Scott Cunningham (Baylor University)
April 1, 2026
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12:00PM - 1:30PM EDT
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CGIS Knafel Building, Room K354
Hybrid
Title Correctional Officers vs. Inmates: Who Prevents Self-Harm in Prison? Abstract Suicide is the leading cause of death in U.S. jails and the second-leading cause in prisons. Traditional prevention relies on correctional officers, but chronic staffing...

Reagan Mozer (Bentley University)
March 25, 2026
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12:00PM - 1:30PM EDT
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CGIS Knafel Building, Room K354
Hybrid
Title Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes Abstract In many randomized trials, outcomes such as essays or open-ended responses must be manually scored before impact analysis, a process that is costly and limiting...

Issa Dahabreh (Harvard)
March 11, 2026
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12:00PM - 1:30PM EDT
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CGIS Knafel Building, Room K354
Hybrid
Title Augmenting randomized trials Abstract We present novel methods for augmenting randomized clinical trials with external data – historical experimental data or observational data – to improve trial efficiency without endangering the guaranty of...

Melody Huang (Yale)
March 4, 2026
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12:00PM - 1:30PM EST
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CGIS Knafel Building, Room K354
Hybrid
Title Relative Bias Under Imperfect Identification in Observational Causal Inference Abstract To conduct causal inference in observational settings, researchers must rely on certain identifying assumptions. In practice, these assumptions are unlikely to...

Wenqi Shi (Harvard)
February 25, 2026
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12:00PM - 1:30PM EST
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CGIS Knafel Building, Room K354
Hybrid
Title Meta-analysis through Low-Rank Basis Hunting Abstract A central challenge of meta-analysis is that the populations underlying existing studies often differ from the target population in unknown ways. We study the problem of predicting function...

Nathan Cheng (Harvard)
February 18, 2026
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12:00PM - 1:30PM EST
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CGIS Knafel Building, Room K354
Hybrid
Title Chiseling: Powerful and Valid Subgroup Selection via Interactive Machine Learning Abstract In regression and causal inference, controlled subgroup selection aims to identify, with inferential guarantees, a subgroup (defined as a subset of the...