Past Events

53 results

53 results

Abhinandan Dalal (Harvard)
October 28, 2026
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12:00PM - 1:30PM EDT
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CGIS K354, 1737 Cambridge St, Cambridge, MA
Hybrid
Title Partial Identification of Causal Effects for Endogenous Continuous Treatments Abstract No unmeasured confounding is a common assumption when reasoning about counterfactual outcomes, but such an assumption may not be plausible in observational...

Souhardya Sengupta (Harvard)
October 21, 2026
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12:00PM - 1:30PM EDT
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CGIS K354, 1737 Cambridge St, Cambridge, MA
Hybrid
Title Low-rank Covariate Balancing Estimators under Interference Abstract In observational studies, causal effect estimation becomes difficult when the outcome of one unit depends on the treatments of many other units. Existing approaches rely on inverse...

Benedikt Koch (Harvard)
October 14, 2026
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12:00PM - 1:30PM EDT
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CGIS K354, 1737 Cambridge St, Cambridge, MA
Hybrid
Title Statistical Decision Theory with Counterfactual Loss Abstract A good outcome does not necessarily imply a good decision. For example, forcibly relocating a family from a disadvantaged neighborhood to improve children's employment prospects may be...

Madison Coots (Harvard)
October 7, 2026
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12:00PM - 1:30PM EDT
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CGIS K354, 1737 Cambridge St, Cambridge, MA
Hybrid
Title Algorithmic Bias in Lending: Evidence from a Fintech Audit Abstract Algorithmic lending has transformed the consumer credit landscape, with machine learning models commonly facilitating underwriting decisions. To comply with fair lending laws, these...

Aleksandra Conevska (Harvard)
September 30, 2026
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12:00PM - 1:30PM EDT
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CGIS K354, 1737 Cambridge St, Cambridge, MA
Hybrid
Title Electoral Accountability and Industrial Change: Regulator Selection and Alternative Energy Growth Abstract Regulators play an important role in public policy and existing research indicates that their influence over outcomes depends on how they are...

Greg Lanzalotto (UPenn)
September 23, 2026
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12:00PM - 1:30PM EDT
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CGIS K354, 1737 Cambridge St, Cambridge, MA
Hybrid
Title Estimating Unreported and Unobservable Uses of Force Using Police Body-Worn Camera Data Abstract Analyses of police behavior have relied on self-reported officer accounts which may contain omissions, errors, or falsehoods. Body-worn camera (BWC)...

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...