Skip to main content

Ian Stewart - Five Way Interview

Ian Stewart is emeritus Professor of Mathematics at the University of Warwick, England. He is a Fellow of the Royal Society and served on its Council from 2014 to 2017. He has an MA from the University of Cambridge, a PhD from Warwick, and six honorary degrees. His awards include the Michael Faraday Medal of the Royal Society, the Gold Medal of the Institute of Mathematics and Its Applications, the Lewis Thomas Prize for Science Writing from Rockefeller University, and the Chancellor’s Medal from the University of Warwick. He delivered the 1997 Christmas Lecture series on BBC television. He has written more than 140 books, including many popular books on mathematics, several science fiction novels, and the Science of Discworld series with Jack Cohen and Terry Pratchett. His latest book is Reaching for the Extreme.

Why maths?

Without maths the human race would still be living in caves. Most people don't understand how vital it is to everyday life, for several reasons. They think it's limited to what they studied at school under that name — it's not — and its uses are hidden from view inside tech gadgets. In 2024, workers in mathematical science occupations contributed £489 billion to the UK economy (19% of total gross value added) and were 27% more productive economically than other occupations. Go figure.

Why this book?

It started out as a book about the shapes of bubbles — minimal surfaces in the jargon — and broadened out into a discussion of a major theme in maths: seeking extremes. Largest volumes, shortest trips for delivery vehicles and SatNav, best strategies in games, minimal energy shapes for protein molecules. Mathematicians always want to improve their ideas, get better results. A secondary theme is how mathematicians think, and the search for extremes illustrates that attitude very well.

Infinity is a concept that seems to intrigue people from school age upwards: what do you think the appeal is of a topic that (outside, perhaps, of the limit aspect in calculus) has very little connection to everyday life?

I'd start by disputing that it has very little connection to everyday life! But I admit, that's what it looks like, for the same reasons people don't see all the maths that their lives are depending on. Most area of maths use the infinite in some form or another, if only because the counting numbers 1,2,3,... go on, in principle, forever. But the fascination with the infinite isn't about practicalities. It's such a mind-blowing concept. Fraught with logical pitfalls and paradoxes, of course, which add to the allure. 

What’s next?

For maths? One major trend is the rapidly growing interaction with computers, in particular AI, which is based on basic mathematical trickery computed at high speed and in huge amounts. Computers provide mathematicians with new tools; mathematicians provide new ideas for how to use computers. Not all of the results are positive, as we're now worrying about, but many are. Another is the application of maths to biology. Beyond that, maths is now showing up almost everywhere. In politics (detecting gerrymandering, analysing voting methods); in medicine (drug design, protein structure, scanners); in transportation (efficient aircraft); and so on. 

For me? Six science fiction novels, new editions of four popular science books, and my research (see next question). Plus family life, now into four generations. 

What’s exciting you at the moment?

I'm still active at age 80, and my current research area is about what happens when individual 'dynamical systems' are hooked together into a network. A dynamical system is something that evolves over time according to fixed rules. Biology, in particular, is littered with networks of this kind:  networks of nerve cells in the brain and the body; networks of genes switching each other on and off to control how an embryo grows; networks of animals and planets forming an ecosystem. Many other areas too — the Internet, electrical power grids, road and rail. Marty Golubitsky and I recently produced an 850-page book on all this, and another four-author book focused on biology is in the press. I mostly wander around in the no-man's-land between theory and applications. 

These articles will always be free - but if you'd like to support my online work, consider buying a virtual coffee or taking out a membership:


Comments

Popular posts from this blog

Beyond Belief - Helen Pearson *****

Apparently it comes as a surprise to many that medicine was not particularly scientific until the end of the twentieth century (to be honest, it's no surprise to me - we had a GP who used homeopathy in the 90s). Instead it was based on anecdotal guidance - the kind of thing that appeared to work. Evidence-based medicine has since improved the field, trying where possible to base decisions on evidence, ideally based on randomised controlled trials. The first part of Helen Pearson's book covers this well - though I think it's by far the least interesting part of what we discover. Instead what's truly fascinating is the rest of it, looking at a wide range of other fields where evidence was rarely properly used and that are only now starting to dip a toe in the water. These include social policy, policing, conservation, business and education. The main part of the book gives us examples of how bad these areas have been in terms of basing decisions on what's always been ...

The Random Universe - Andrew Jaffe *****

This is an absolutely fascinating book for anyone interested in the way that science really works, bearing in mind the difficulties of having to base our models and theories on induction. Andrew Jaffe introduces the difficulties we face when trying to take a scientific view because largely we are dependent on induction: predicting the future from what has previously been observed. He explores what probability is, the two key ways of looking at it (frequentist and Bayesian) and how scientists use (or misuse it) to work out the implications of their experiments for hypotheses. This is then expanded into looking at the nature of scientific models and the philosophy of science before heading out to entropy, quantum randomness and attempting to achieve meaningful cosmology with its potential dearth of evidence.  The topic might sound a little dry, but in fact Jaffe does it with good humour and a very readable style. For example, he uses measuring his daughter's height by making marks on...

The AI Paradox - Virginia Dignum ****

This is a really important book in the way that Virginia Dignum highlights various ways we can misunderstand AI and its abilities using a series of paradoxes. However, I need to say up front that I'm giving it four stars for the ideas: unfortunately the writing is not great. It reads more like a government report than anything vaguely readable - it really should have co-authored with a professional writer to make it accessible. Even so, I'm recommending it: like some government reports it's significant enough to make it necessary to wade through the bureaucrat speak. Why paradoxes? Dignum identifies two ways we can think about paradoxes (oddly I wrote about paradoxes recently , but with three definitions): a logical paradox such as 'this statement is false', or a paradoxical truth such as 'less is more' - the second of which seems a better to fit to the use here.  We are then presented with eight paradoxes, each of which gives some insights into aspects of t...