The Alan Turing Institute

Overview

The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence. The Institute’s goals are to undertake world-class research in data science and artificial intelligence, apply its research to real-world problems, drive economic impact and societal good, lead the training of a new generation of scientists, and shape the public conversation around data. The Edinburgh node will be hosted in the Bayes Centre. Message: The Alan Turing Institute allows us to leverage data science and AI expertise from across the UK, facilitate new collaborations across academia, industry, and government, and shape future strategy and policy at a UK level. It acts as a multiplier for both fundamental and translational research by providing access to partners, data and funding.

Our purpose

We undertake data science and AI research which tackles some of the biggest challenges in science, society and the economy. We collaborate with universities, businesses and public and third sector organisations to apply this research to real-world problems, with lasting effects for science, the economy, and the world we live in. We are here to help to make the UK the best place in the world for data science and AI research, collaboration and business.

Examples of projects

Our research covers a broad range of disciplines and application areas, from fundamental mathematics and statistics to engineering, finance, health and security. Our diverse, multidisciplinary projects include using artificial intelligence to help automate the data analytics process, working with Intel to co-design algorithms and computer architectures, creating a digital twin to analyse the performance of the worlds largest 3D-printed metal structure, working with Accenture to make fraud detection quicker and more cost-efficient, and using machine learning to improve treatment plans for cystic fibrosis.

Staff

Dr Charles Sutton, Reader in Machine Learning at the University of Edinburgh
Charles works in the School of Informatics within the University of Edinburgh and is also a Turing fellow at the Alan Turing Institute. With over 50 publications, Charles’ research focusses on Machine Learning and cutting edge technologies that allow computers to process and understand human language.
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Email: Csutton@inf.ed.ac.ukProfessor 

Charles Raab (Politics and International Relations) 
Charlies is a political scientist, a Fellow of the Alan Turing Institute and member of the Turing's Data Ethics Group. He also co-Chairs the Independent Digital Ethics Panel for Policing (IDEPP), and is a Director of the Centre for Research into Information, Surveillance and Privacy (CRISP). His research is largely on privacy, data protection, surveillance, identity, security, and the ethical and regulatory dimension of these.
Email: Charles.Raab@ed.ac.uk 

Ruth King, Thomas Bayes Chair of Statistics, FLSW, FRSE 
Ruth works in the School of Mathematics within the University of Edinburgh and is also a Turing fellow at The Alan Turing Institute. Ruth co-founded the Centre for Statistics within the University of Edinburgh and the associated Statistical Consultancy Unit. 
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Email: Ruth.King@ed.ac.uk

For more information on

The Alan Turing Institute, 
96 Euston Road, 
London 
NW1 2DB