Mathematics is used in increasingly sophisticated ways in modern society, explicitly by experts who develop applications and implicitly by the general public who use technological devices. As each of us is taught a broad curriculum in school and then focuses on particular specialisms in our adult life, it is useful to ask the question ‘what does it mean to make sense of mathematics?’.
The idea of six degrees of separation is now quite well known and posits the appealing idea that any two humans on earth are connected by a chain of at most six common acquaintances. In the movie world this idea has become known as the “Bacon number”; for example Elvis Presley has a Bacon number […]
As somebody who loves words and English literature, I have often been assumed to be a natural enemy of the mathematical mind. If we’re being honest, my days of calculus and the hypotenuse are behind me, but with those qualifications under my belt, I did learn that the worlds of words and numbers are not necessarily as separate as they seem. Quite a few expressions use numbers (sixes and sevens, six of one and half a dozen of the other, one of a kind, etc.) but a few are more closely related to mathematics than you’d expect.
Modern society requires a reliable and trustworthy Internet infrastructure. To achieve this goal, cybersecurity research has previously drawn from a multitude of disciplines, including engineering, mathematics, and social sciences, as well as the humanities. Cybersecurity is concerned with the study of the protection of information – stored and processed by computer-based systems – that might be vulnerable to unintended exposure and misuse.
A couple of days after seeing Christopher Nolan’s Interstellar, I bumped into Sir Roger Penrose. If you haven’t seen the movie and don’t want spoilers, I’m sorry but you’d better stop reading now.
Still with me? Excellent. Some of you may know that Sir Roger developed much of modern black hole theory with his collaborator, Stephen Hawking, and at the heart of Interstellar lies a very unusual black hole. Straightaway, I asked Sir Roger if he’d seen the film. What’s unusual about Gargantua, the black hole in Interstellar, is that it’s scientifically accurate.
Many attempts have been made to explain the historic and current lack of women working in STEM fields. During her two years of service as Director of Policy Planning for the U. S. State Department, from 2009 to 2011, Anne-Marie Slaughter suggested a range of strategies for corporate and political environments to help better support women at work. These spanned from social-psychological interventions to the introduction of role models and self-affirmation practices.
It is becoming widely accepted that women have, historically, been underrepresented and often completely written out of work in the fields of Science, Technology, Engineering, and Mathematics. Explanations for the gender gap in STEM fields range from genetically-determined interests, structural and territorial segregation, discrimination, and historic stereotypes. With free Oxford University Press content, we tell the stories and share the research of both famous and forgotten women.
Head hits cause brain damage, but not always. Should we ban sport to protect athletes? Exposure to electromagnetic fields is strongly associated with cancer development. Should we ban mobile phones and encourage old-fashioned wired communication? The sciences are getting more and more specialized and it is difficult to judge whether, say, we should trust homeopathy, fund a mission to Mars, or install solar panels on our roofs.
One of the central tasks when reading a mystery novel (or sitting on a jury, etc.) is figuring out which of the characters are trustworthy. Someone guilty will of course say they aren’t guilty, just like the innocent – the real question in these situations is whether we believe them. The guilty party – let’s call her Annette – can try to convince us of her trustworthiness by only saying things that are true, insofar as such truthfulness doesn’t incriminate her.
In order to celebrate Trivia Day, we have put together a quiz with questions chosen at random from Very Short Introductions online. This is the perfect quiz for those who know a little about a lot. The topics range from Geopolitics to Happiness, and from French Literature to Mathematics. Do you have what it takes to take on this very short trivia quiz and become a trivia master? Take the quiz to find out.
Alan Mathison Turing (1912-1954) was a mathematician and computer scientist, remembered for his revolutionary Automatic Computing Engine, on which the first personal computer was based, and his crucial role in breaking the ENIGMA code during the Second World War. He continues to be regarded as one of the greatest scientists of the 20th century.
Are you worried about catching the flu, or perhaps even Ebola? Just how worried should you be? Well, that depends on how fast a disease will spread over social and transportation networks, so it’s obviously important to obtain good estimates of the speed of disease transmission and to figure out good containment strategies to combat disease spread.
If a “revolution” in our field or area of knowledge was ongoing, would we feel it and recognize it? And if so, how? I think a methodological “revolution” is probably going on in the science of epidemiology, but I’m not totally sure. Of course, in science not being sure is part of our normal state. And we mostly like it.
Why do we teach students how to prove things we all know already, such as 0.9999••• =1? Partly, of course, so they develop thinking skills to use on questions whose truth-status they won’t know in advance. Another part, however, concerns the dialogue nature of proof.
Why study paradoxes? The easiest way to answer this question is with a story: In 2002 I was attending a conference on self-reference in Copenhagen, Denmark. During one of the breaks I spoke with Raymond Smullyan; a mathematical logician and renowned author of ‘Knights and Knaves’ (K&K) puzzles.
A large variety of complex systems in ecology, climate science, biomedicine, and engineering have been observed to exhibit so-called tipping points, where the dynamical state of the system abruptly changes. Typical examples are the rapid transition in lakes from clear to turbid conditions or the sudden extinction of species after a slightly change of environmental conditions. Data and models suggest that detectable warning signs may precede some, though clearly not all, of these drastic events. This view is also corroborated by recently developed abstract mathematical theory for systems, where processes evolve at different rates and are subject to internal and/or external stochastic perturbations.