Become Someone Who Can Question AI Answers | Learning Causal Inference with "The Power of Data Analysis"

If you ask AI for the answer to a report, it will return a logical explanation in seconds. However, distinguishing whether ...
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 ...
mccormick.northwestern.edu

COMP_SCI 374: Causal Graphical Models

We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...
JSTOR Daily

Causality In Crisis?: Statistical Methods & Search for Causal Knowledge in Social Sciences

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://doi.org/10.2307/jj.21995551.4 https ...
BMJ

Causal inference in physical activity epidemiology research: an opportunity for better evidence

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 ...
techtarget

What is causal AI?

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 ...
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 ...