Marianne Freiberger
Marianne Freiberger is Editor of Plus. She joined Plus in 2005 after doing a PhD and then a three year postdoc at Queen Mary, University of London. As a researcher she worked in complex dynamics, the area of pure maths that has given us the Mandelbrot set. During her time as a researcher she also held various teaching engagements. In the world of maths communication she has been Editor-in-Chief of the Mathscareers website, given presentations to mathematicians about how to communicate their work to a wider audience, and to journalists about how to deal with maths in the media. She has been a TEDx speaker and an invited speaker at the International Congress of Mathematicians in 2010.
What is climate repair?
To know how it works, see how it moves
Contagious maths, part 1: Build your own model
With just some simple arithmetic, you can build a basic mathematical model of how a disease might spread. Julia Gog explains how, and there's also some Lego action...
Quantum gravity in the can: The holographic principle
Contagious Maths, part 2: Play Lucky Dip!
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.
Contagious maths, Part 3: Everybody is different
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.
Contagious maths, Part 4: Get moving!
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.
Contagious maths, Part 5: Meet the researchers!
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!
AI be the judge: The use of algorithms in the criminal justice system
Could AI help judges deliver fair and transparent sentences? A recent study group involving law experts and mathematicians explored the challenges involved.
AI be the judge: Part II
We continue our exploration of the potential use of AI in sentencing.