You can explore how we might extend our model but running your own epidemic with our Lucky Dip interactivity. Follow along with Julia as she paves the way to a model that is very similar to the mathematics disease modellers use every day.
In Part 3 Julia refines our model to use one of the most important numbers in disease modelling. And there's a chance for you to explore its meaning using a new interactivity.
In the final Part we explore what other aspects we need to consider to make a model more realistic. There's an interactivity that allows you to party, commute, and visit friends and we find out more about what life as a research is like from Julia.
In this final part, you can meet the researchers themselves and find out about the real research questions that Julia and some of her colleagues are working on!
Could AI help judges deliver fair and transparent sentences? A recent study group involving law experts and mathematicians explored the challenges involved.
We continue our exploration of the potential use of AI in sentencing.
At the beginning of an epidemic the number of infected people grows exponentially. But why does the number e appear in descriptions of this growth?
