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The International Centre for Mathematical Sciences (ICMS)

Mary Somerville (1780-1872) was an eminent Scottish scientist of the 19th century. She made important contributions in mathematics and astronomy, such as her paper 'On the magnetizing power of the more refrangible solar rays' in the Philosophical Transactions of the Royal Society in 1826. She was one of the first two women to be elected to the Royal Astronomical Society in 1835 (the other was Caroline Herschel). Her outstanding science was inextricable from her powers of exposition as might be seen in her beautiful book On the Connexion of the Physical Sciences (1834), a best-seller that went through many editions and is often regarded as the first 'popular science' book. Remarkably, the third edition of the book (1836) and subsequent ones contained a discussion, based on tables of observation, about the possibility of an unknown planet perturbing Uranus. This led to the subsequent precise prediction of the position of Neptune by John Couch Adams in 1845. This lecture series for the general public on high-level topics at the interface of mathematics and other domains of inquiry commemorates the work and life of Mary Somerville. 

The Alan Turing Institute

This event will gather up to 12 teams from around the world to engage in a challenge using open spending data, development indicators, and the recently released web-based modelling app from the Policy Priority Inference research programme. The organisers would like to invite anyone interested in the intersection of sustainable development, artificial intelligence, open government, and computational social science to attend this one-of-a-kind event. The opening and closing sessions will be open to the public (no need to have team), while the challenger teams will work on a case study for a week with mentorship facilitated by the organisers.

The Alan Turing Institute

Hosted by The Alan Turing Institute, AI UK 2024 will be an in-depth exploration of how data science and AI can be used to solve real-world challenges. Our diverse programme has been thematically structured around the latest innovations from across the AI ecosystem. With a broad range of interactive content, expect to hear the latest thinking on foundational AI, digital twins, algorithmic bias, AI ethics – and much more.

Scientific Computing and Data Science,    Neural Networks and Artificial Intelligence, Machine Learning