Alan Turing Institute

The Alan Turing Institute, headquartered in the British Library in London, was created as the UK national institute for data science in 2015. In 2017, as a result of a government recommendation, we added artificial intelligence to our remit. The Institute is named in honour of Alan Turing (23 June 1912 – 7 June 1954), whose pioneering work in theoretical and applied mathematics, engineering and computing are considered to be the key disciplines comprising the fields of data science and artificial intelligence.

Five founding universities – Cambridge, Edinburgh, Oxford, UCL and Warwick – and the UK Engineering and Physical Sciences Research Council created The Alan Turing Institute in 2015. Eight new universities – Leeds, Manchester, Newcastle, Queen Mary University of London, Birmingham, Exeter, Bristol, and Southampton – joined the Institute in 2018.

We undertake 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.

Our mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better. Research excellence is the foundation of the Institute: the sharpest minds from the data science community investigating the hardest questions. We work with integrity and dedication. Our researchers collaborate across disciplines to generate impact, both through theoretical development and application to real-world problems. We are fuelled by the desire to innovate and add value.

We have three ambitious goals:

• Advance world-class research and apply it to real-world problems: innovate and develop world-class research in data science and artificial intelligence that supports next generation theoretical developments and is applied to real-world problems, generating the creation of new businesses, services, and jobs.

• Train the leaders of the future: train new generations of data science and AI leaders with the necessary breadth and depth of technical and ethical skills to match the UK’s growing industrial and societal needs.

• Lead the public conversation: through agenda-setting research, public engagement, and expert technical advice, drive new and innovative ideas which have a significant influence on industry, government, regulation, or societal views, or which have an impact on how data science and artificial intelligence research is undertaken.