Section page Events from around the Turing Network Conferences, workshops, and other events from around the Turing Network Events from around the Turing Network
Impact The Turing works with a range of partners with far-reaching, real-world impact across sectors Impact
The Turing Alphabet Introducing the Turing Alphabet: demonstrating the breadth of the Institute. The Turing Alphabet
Research projects Turing Research and Innovation Cluster in Digital Twins Turing Research and Innovation Cluster in Digital Twins
Research projects AI for Numerical Weather Prediction (NWP): AI4NWP Developing artificial intelligence algorithms to fundamentally transform weather forecasting and the prediction of local and global weather events AI for Numerical Weather Prediction (NWP): AI4NWP
A week in the life of a Data Study Group Watch the three part mini documentary series A week in the life of a Data Study Group
Research spotlight Premdeep Gill Enrichment student Premdeep Gill is studying Antarctic seals and their sea ice habitats through satellite data, to better understand how they are coping with climate change Premdeep Gill
Research spotlight Erin Young As co-lead of the Turing’s Women in Data Science and AI project, Research Fellow Erin Young’s vital research maps the gendered career trajectories in data science and AI Erin Young
Why work at the Turing? Find out some of the reasons why the Turing is a competitive employer Why work at the Turing?
Data Study Groups Events bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges Data Study Groups
Partnering with the Turing We work with a wide range of partners to help deliver our mission of changing the world using data science and artificial intelligence Partnering with the Turing
Join our mailing lists Sign up for our monthly newsletter, as well as updates about Data Study Groups and research opportunities Join our mailing lists
Chronotopic cartographies for literature Mapping fictional worlds from literary texts to advance understanding and interpretation of literature in entirely new ways
Discovering polarity change in word meanings Advancing computational and mathematical models to discover the change in words’ polarity, from positive to negative or vice versa, in large-scale web archives
Machines reading maps Creating a generalisable machine learning pipeline to process text on maps and catalysing humanities, scientific, and cultural heritage communities to use map text as data