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Research projects
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.
Supporting Pangeo: the community-driven platform for Big Data geoscience
Aligning efforts with the Met Office and Microsoft to support Pangeo, the growing international platform for Big Data geoscience
Providing independent research leadership to the Joint Biosecurity Centre
A partnership with The Alan Turing Institute and Royal Statistical Society to support the COVID-19 response
Molecular structure from images under physical constraints
Using machine learning and high resolution imaging to determine biomolecular structure and dynamics
Real-time data assimilation for Digital Twins
Developing methods to improve the use of real-time data in system representations
The Turing AI scientist grand challenge
Developing AI systems capable of making Nobel quality scientific discoveries highly autonomously at a level comparable, and possibly superior, to the best human scientists by 2050
Causal inference for improved cybersecurity threat detection
Understanding the causal links in the tactics and techniques of cyberattacks
Data science for tackling modern slavery
This project aims to develop innovative tools to assist the prevention, pursuit and prosecution of perpetrators and to support victims
Crick-Turing Biomedical Data Science Awards
Providing funding to early career data science researchers
Adaptive multilevel MCMC sampling
Developing an MCMC algorithm for efficient Bayesian inference in multilevel models
Shocks and resilience
Measuring policy impact in the COVID-19 crisis and building resilience against future shocks
Uncertainty quantification for black box models
Developing methods for the quantification of uncertainty in complex numerical models
