Over the past several decades, multiple statistical methods have been developed to infer the existence and magnitude of causal effects by analyzing observational data. These methods have been widely ...

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 ...

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...

Causal AI is a form of artificial intelligence (AI) designed to identify and understand the cause and effect of relationships across data. Unlike large language models and generative AI, which are ...

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 ...