Going to extremes to predict natural disasters

Predicting natural disasters remains one of the most challenging problems in simulation science because not only are they rare but also because only few of the millions of entries in datasets relate to extreme events. A systematic method for comparing the accuracy of different types of simulation models for such prediction problems has recently been…

What maths does—building a perfect metropolis

Credit: Shutterstock Oxford Mathematician Neave O’Clery works with mathematical models to describe the processes behind industrial diversification and economic growth. Here she discusses her work in Oxford and previously at Harvard to explain how network science can help us understand why some cities thrive and grow, and others decline, and how they can offer useful,…

Geometry, skull growth and brain mechanics

Artificial human skull and brain model. Credit: Shutterstock Professor Alain Goriely is Professor of Mathematical modelling at Oxford University’s Mathematical Institute and founder of the International Brain Mechanics and Trauma Lab (IBMTL). He talks to ScienceBlog about the key findings from his recently published work ‘Dimensional, Geometrical and Physical Constraints in Skull Growth’, and how…