Who is Susan C. Athey and what did she change? Analyzing digital markets with causal inference and machine learning

Susan C. Athey is an economist who has studied ways to analyze digital markets and policy by connecting economic theory, ...
BIOENGINEER

Causal AI Predicts IVF Success and Reveals Which Changes Actually Help

For couples undergoing in vitro fertilization, one of the most agonizing questions is also the most basic: what are the real ...

The Frontier of Avian Observation Data and Probabilistic Machine Learning

The Frontier of Avian Observation Data and Probabilistic Machine Learning—From Hierarchical Bayes to Causal, Geometric, ...
BIOENGINEER

AI Reveals Which Children Benefit Most From Obesity Prevention Programs

A causal machine learning framework applied to seven community-based childhood obesity prevention programs involving over ...
Diginomica

How causal analysis and AI intersect - methods of causal inference

Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
Harvard Medical School

2025 CAUSALab Summer Courses on Causal Inference

All summer courses will take place in Boston, Massachusetts at the Harvard T.H. Chan School of Public Health from 9:30 AM to 4:30 PM (ET) each day. Each course will offer a limited number of online ...
Harvard Medical School

2026 CAUSALab Summer Courses on Causal Inference

Thank you for joining the 2026 Summer Courses! CAUSALab’s 2026 Summer Courses on Causal Inference ran June 8-18, 2026. Information regarding the 2027 courses will be available Fall 2026. CAUSALab’s ...