The Life Scientific Folgen

Literature student turned neuroscientist, Prof David Eagleman, tells Jim Al-Khalili about his research on human perception and the wristband he created that enables deaf people to hear through their skin. Everything we see, taste, smell, touch and hear is created by a set of electro-chemical impulses in the dark recesses of our brain. Our brains look for patterns in these signals and attach meaning to them. So in future perhaps we could learn to ‘feel’ fluctuations in the stock market, see in infra-red or echo-locate like bats? Each brain creates its own unique truth and David believes, there are no real limits to what we humans can perceive. Producer: Anna Buckley

‘I didn’t know I wanted to be a mathematician until I was one’ says Hannah Fry, now a Professor in the Mathematics of Cities at University College London. Her mother pushed her hard at school, coming down on her like a tonne of bricks when she got a C for effort in mathematics. Never mind that she was top of the class. By the time she’d finished a PhD in fluid dynamics, she had realised that she probably wasn’t going to be a hairdresser and pursued her other passion, Formula One. Sadly F1 wasn’t the dream job she’d imagined: all the interesting equations were wrapped up in computer simulations and no further maths was needed. Keen to continue doing mathematics, she joined the Centre for Advanced Spatial Analysis at University College London just as people were starting to use data to understand human behaviour. (Yes. If you zoom out enough and use some mathematical tools, there are parallels between the airflows around racing cars and the way humans behave.) She has studied everything from the mathematics of love to civil unrest, and has advised governments and Deep Mind, the artificial intelligence research lab owned by Google. At a public lecture in Berlin in 2018, she learnt the hard way that it’s a mistake to detach data from its context. Never again will she forget to ask, what do these numbers represent? How else could my algorithms be used? Is this something we, as a society, want? Data and algorithms help humans to solve problems. Big, difficult problems like climate change and Covid-19. Mathematics can help us to police a riot or find love. But the idea that maths and numbers are value-neutral is deeply flawed, Hannah says. The artificial intelligence we create is a reflection of who we are. It can discriminate horribly. But, applied wisely, it could help us to start to overcome our unconscious biases and prejudice. We humans are not perfect. Neither is AI. If we scrutinise the algorithms that now make so many decisions for us and make sure that their priorities are our priorities, then perhaps we can get the best of both. In the Age of the Algorithm, humans have never been more importantHannah Fry tells Jim Al-Khalili about her life as a mathematician and why her attitude to risk and statistics changed dramatically earlier this year. Producer: Anna Buckley

Certainty is comforting. Certainty is quick. But science is uncertain. And this is particularly true for people who are trying to understand climate change.Climate scientist, Tamsin Edwards tackles this uncertainty head on. She quantifies the uncertainty inherent in all climate change predictions to try and understand which of many possible storylines about the future of our planet are most likely to come true. How likely is it that the ice cliffs in Antarctica will collapse into the sea causing a terrifying amount of sea level rise? Even the best supercomputers in the world aren’t fast enough to do all the calculations we need to understand what might be going on, so Tamsin uses statistical tools to fill in the gaps. She joined the International Panel on Climate Change (IPCC) in 2018 and is currently working on the 6th Assessment Report which will inform the 2021 United Nations Climate Change Conference, COP26. She tells Jim Al-Khalili about her life and work and why she wishes more people would have the humility (and confidence) to consider the possibility that they might be wrong.Producer: Anna Buckley