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Latest content
Cambridge appoints first-ever Hawking Professor of Cosmology
Daniel Baumann will be treading in Hawking's legendary footsteps, pursuing a central question of the field: How did the Universe begin? Find out more in this article.
From data to decisions
Causal inference is the art of discerning cause and effect from data. Find out more in this introduction.
The DAG behind the data
How do you discern cause and effect when you can't do a controlled experiment? Directed acyclic graphs (DAGs) are a fun and important tool.
A fairer football sweepstake
Tired of drawing a complete outsider? Here's a new kind of sweepstake that keeps everyone engaged until the very end of the World Cup.
Popular content
Dive deeper into the loop soup
Fields Medallist Wendelin Werner loves Brownian loop soups. In the second part of this article, we learn more about why they matter so much.
Dive into the loop soup!
Fields Medallist Wendelin Werner loves Brownian loop soups. We explore what they are, why he finds them so "natural", and how they are linked to the physics of elementary particles.
Julian Sahasrabudhe: The ICM 2026
In this episode we speak to Professor Julian Sahasrabudhe in the run up to ICM 2026 about how he got into maths, combinatorics, and finding connections to other areas of maths.
Richard Samworth: The ICM 2026
In the run up to the ICM 2026, we speak to one of the invited speakers at the Congress, Richard Samworth, all about his work in statistics.
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