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Focused scientific study, led by Turing researchers, working with other academics and often industry collaborators, towards defined objectives. Turing research projects aim to be multidisciplinary and multi-institutional, delivering both scientific and real-world impact.

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An image of a globe

Shocks and resilience

Measuring policy impact in the COVID-19 crisis and building resilience against future shocks

numbers

Uncertainty quantification for black box models

Developing methods for the quantification of uncertainty in complex numerical models

3D bridge being designed

Digital twin of the world’s first 3D printed stainless steel bridge

A revolutionary project to create the world’s first 3D printed steel pedestrian bridge, innovating across multiple disciplines to transform design and construction and gain greater understanding of how infrastructure can act as a living object

covid

Vulnerability to misinformation during COVID-19

Providing insight into people’s vulnerability to accepting health-related misinformation during COVID-19

skyline

Urban Grammar

Learning an urban grammar from satellite data through AI

banknotes

Synthetic data generation for finance and economics

Generating artificial business, finance, and economic data to enable data sharing, scenario simulation, and model validation

clinical trial

Statistical machine learning for randomised clinical trials (MRC CTU)

Developing and applying machine learning methods to improve the design, conduct and analyses of clinical trials

Surgeons

Risk prediction in adult cardiac surgery

Using machine learning to identify patients who are likely to not survive open heart surgery in the UK

Back of the Bletchley Park bombe

Applied Research Centre for Defence and Security

Focusing on the application of cutting-edge technology to problems within the defence and security sector

Circular pattern

Neutron scattering and machine learning

Using neural networks to interpret magnetic structure from inelastic neutron scattering experiments

Ocean clouds from space

Masking clouds in satellite imagery

Using machine learning techniques to classify cloudy pixels from satellite images to aid more accurate monitoring of remotely sensed environmental and climate variables

Diamond Light Source facility

Diffuse multiple scattering analysis

Analysing complex multi-phase materials using X-ray scattering and machine learning

ISIS Neutron and Muon Source facility

Radiation detectors and machine learning

Developing a machine learning approach to discriminating between different types of radiation in cutting edge scintillator detectors

A person checking their blood sugar levels

Data-driven evaluation of treatments for type 2 diabetes

Using machine learning to investigate differential effects of therapies on Type 2 diabetes patients

Women with facemask using her phone

Technical advice for the NHS COVID-19 app

Informing the NHS Test and Trace programme’s understanding of the spread of the virus and helping to optimise the performance of the app

Data visualisation overlaid on map of Europe

WAYS: What aren’t you seeing?

Enhancing everyday visualisation practice through generative and evaluative design tools for data scientists

Stock market graph in a newspaper

Explainable machine learning for financial applications

Developing tools to understand the behaviour of machine learning models for financial use cases

People walking over the Millennium Bridge in London

Project Odysseus – Understanding London ‘busyness’ and exiting lockdown

Capturing activity over London to better understand 'busyness' and aid effective policy-making strategies for exiting the pandemic lockdown

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