The age of Big Data poses a risk to our privacy as even anonymised data can sometimes be linked to individuals. Differential privacy provides a way of protecting sensitive information even when some of it is made public.

Artificial intelligence algorithms are often trained on people's personal data. How can we make sure that this data remains private? 

The advent of artificial intelligence poses new threats to the privacy of our personal data.  We explore the challenges and a way to address them.

We are very pleased to be launching this network for those working in, and with a stake in, communicating complex mathematics and data science to a variety of non-expert audiences.

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.

Can mathematics help reshape our hospital networks?

We talk to early career mathematicians who spent some of their summer holiday solving problems posed by industry — such as how to blend a perfect smoothie!

Some practical tips to help you when you need it most – when you are sitting at the keyboard, ready (or perhaps not so ready) to put your ideas on the page!

When it comes to communicating maths or science that some people find hard to accept, you cannot take your audience's trust for granted. Instead you have to be trustworthy.