The maths and magic of shufflingIn this podcast mathematician Cheryl Praeger and magician Will Houstoun reveal the maths and magic behind shuffling cards.
On the mathematical frontline: Matt KeelingEpidemiologist Matt Keeling tells us about his work on the roadmap out of lockdown, whether the models have been too pessimistic, and what it's been like producing scientific results that carry so much weight.
New ways of seeing with the INTEGRAL projectWe ask the INTEGRAL team about their innovative machine learning approaches to understanding remotely gathered images, and the significant impact these technologies can have on the world.
How to predict our changing climateIn this podcast we ask two experts to explain the models that predict how the Earth's climate will behave in the future.
Flying home with quantum physicsFind out how some species of birds use quantum mechanics to navigate and studying how they do it might actually help us with building quantum computers.
On the mathematical frontline: Francesca ScarabelFrancesca Scarabel may be early on in her research career, but she has already been part of the UK's emergency mathematical response to the COVID-19 pandemic. She tells us about her experience in this podcast.
On the mathematical frontline: Ed HillEd Hill has been working on the COVID-19 pandemic right from the start, providing government with essential epidemiological advice. Find out about his journey in this podcast.
On the mathematical frontline: Mike TildesleyWhat do you actually do when you are modelling the COVID-19 pandemic? Find out with epidemiologist Mike Tildesley in our new podcast series.
On the mathematical frontline: Julia GogWhat's it like advising government on the maths behind COVID-19? Find out with epidemiologist Julia Gog in this new podcast series.
AI, babies, and agencyIn this podcast we find out why true artificial intelligence will only become possible once machines have something that babies are born with: agency.
Machine learning and artificial intelligenceIn this podcast find out the basics of machine learning, and why time travel and immortality might be easier to achieve than human level artificial intelligence.
What is constructor theory: The podcastWe talk to Chiara Marletto about a new way of looking at the physical world that may solve some of the problems physicists are currently struggling with.
The power of ants: The podcastIn this podcast we explore how ants have helped humans to solve some very difficult problems.
Meet your digital twinWill we one day have digital versions of our entire body to help us make medical and life style decisions and see what medical treatments are right for us? Find out in this podcast.
The virusIn this podcast we explore the famous curve, talk about how to communicate science in a crisis, and explain the maths of herd immunity in one minute.
Plus advent calendar door #22: Bang, crunch, freeze and the multiverseWhat's a multiverse? What's the future for intelligent life? And what happened 380,000 after the Big Bang. At Stephen Hawking's 70th birthday conference we talked to physicists David Spergel and Raphael Bousso to find out more.