We explore the maths that helps explain this well-known phenomenon, which says that any two people around the world are likely to be connected through a surprisingly short chain of acquaintance links.

When a new infectious disease enters a population everything depends on who catches it — superspreaders or people with few contacts who don't pass it on.  We investigate the stochastic nature of the early stages of an outbreak.

Hannah Fry will join us at the University of Cambridge in January as Cambridge's first Professor for the Public Understanding of Mathematics!

Physicists have figured out how we might detect hypothetical boson stars. If we do, then this would count as a major step towards solving the riddle of dark matter,

Frederick Manners  has won a prestigious EMS Prize at the European Congress of Mathematics 2024 for, among other things, a problem involving pyjamas.

Tom Hutchcroft has won a prestigious EMS Prize at the European Congress of Mathematics 2024, for work on mathematical models that can help us figure out phase transitions.

Richard Montgomery has won a prestigious EMS Prize at the European Congress of Mathematics 2024 for work on objects so ubiquitous in everyday life it's easy to forget they're mathematical: networks.

This article describes how you can describe the entire universe of Riemann tori (surfaces that look like dooughnuts) in one go.

A Riemann torus is a surface that looks like a doughnut. This articles explored how you might tell Riemann tori apart.

How many different surfaces are there? The question seems impossible to answer, but mathematicians have a way of dealing with the multitude. Follow us on a journey into the world of moduli spaces.

With bird flu spreading through cattle herds in the US and infecting humans, the diseases poses a severe threat to wild life, poultry and also people. What can mathematical modelling do to help?

The age of Big Data poses a risk to our privacy as even anonymised data can sometimes be linked to individuals. Differential privacy provides a way of protecting sensitive information even when some of it is made public.