Professor Sarah Hart is a British mathematician specialising in group theory and author. She is Professor Emerita of Mathematics and Fellow of Birkbeck College (University of London) and has recently been announced as the Mathematical Association President during 2026-27.
Professor Hannah Fry, mathematician, best-selling author, award-winning science presenter and host of popular podcasts and television shows, will join the University of Cambridge as the first Professor of the Public Understanding of Mathematics on 1 January.
Researchers have developed a platform for the interactive evaluation of AI-powered chatbots such as ChatGPT.
Cambridge mathematicians have developed a set of resources for students and teachers that will help them understand how maths can help tackle infectious diseases.
The springtime emergence of vast swarms of cicadas can be explained by a mathematical model of collective decision-making with similarities to models describing stock market crashes.
Meet the winner of the Vice-Chancellor's Awards 2023 for Research Impact and Engagement and learn more about their projects.
NRICH spent the last two years in emergency rescue mode, helping learners in lockdown. Its online resources attracted over a million page views per week. Now celebrating their 25th anniversary, the NRICH team is more determined than ever to nurture our next-generation problem solvers.
Humans are usually pretty good at recognising when they get things wrong, but artificial intelligence systems are not. According to a new study, AI generally suffers from inherent limitations due to a century-old mathematical paradox.
Four University of Cambridge researchers – Professors Shankar Balasubramanian, David Klenerman, Suchitra Sebastian and Jack Thorne – have been recognised by the Breakthrough Prize Foundation for their outstanding scientific achievements.
Who made more accurate predictions about the course of the COVID-19 pandemic – experts or the public? A study from the University of Cambridge has found that experts such as epidemiologists and statisticians made far more accurate predictions than the public, but both groups substantially underestimated the true extent of the pandemic.
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