Introduction
The Alan Turing Institute works with academic and industry partners on a diverse range of research projects. Below is a selection of stories demonstrating their far-reaching, real-world impact.
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Impact stories
The Turing works with a range of partners with far-reaching, real-world impact across sectors
Dynamic forecasting with British Airways
Predicting demand for flights is central to airline business strategy, and enormously complex. In collaboration with British Airways, the Turing has developed novel machine learning techniques to tackle the challenge
Changing the culture of data science
The Turing Way is an online handbook – and global community – dedicated to fostering gold-standard reproducible research. It’s a cultural movement with the potential to transform data science
Transforming medicine through AI-enabled healthcare
World-leading expertise in healthcare-focused machine learning combined with the world’s largest, high-quality cancer data collection service could lead to a quantum leap in personalised medicine
The next step in precision agriculture
Growing enough food for the world’s burgeoning population may require smart farms that can sense their crop conditions and feed themselves on demand, and Turing researchers are developing the technology they’ll need
A machine learning revolution in disaster response
Turing researchers have combined crowd-sourcing, machine learning and neural networks to rapidly reveal the many dimensions of natural disasters, deploying the technology in the aftermath of Hurricane Dorian
Co-designing computing
High-performance computing (HPC) environments such as data centres can be ill-equipped to deal with data science tasks, so Turing researchers collaborated with Intel to co-design better architecture for their HPC systems
Towards a greener grid
Turing researchers and doctoral students contributed to a new solar forecasting system for National Grid, which is 33% more accurate at day-ahead forecasts, aiding in more efficient balancing of supply and demand and lowering consumer costs
Augmenting clinical decision-making
Working with the Cystic Fibrosis Trust, Turing researchers have been developing machine learning methods that could dramatically improve the accuracy of clinical assessments of people with cystic fibrosis
Understanding urban air quality
Turing researchers are working with the Greater London Authority to use machine learning and statistical methodology to better analyse air pollution sensor data, design better policy interventions, and improve urban quality of life
