Search
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.
Impact of climate change on agriculture
Building next-generation models to support resilient agricultural policy
Environment and sustainability
Using data science and AI to tackle environmental and climate challenges
Environmental monitoring: blending satellite and surface data
Intelligent fusion of data from satellite and in-situ surface sensors to help understand our changing planet
Machines reading maps
Creating a generalisable machine learning pipeline to process text on maps and catalysing humanities, scientific, and cultural heritage communities to use map text as data
Multimorbidity phenotyping in cardiovascular disease
Developing statistical machine learning tools to investigate longitudinal multi-disease trajectories
Interpretable disease prediction models using supervised learning
Evaluating supervised machine learning models for creating interpretable disease risk prediction models using electronic health records
PATH-AI: Mapping an intercultural path to privacy, agency, and trust in human-AI ecosystems
Expanding and enriching current AI ethics discussions by including international cultural views
Building an ethical framework for data science and AI in the criminal justice system
A collaboration with the Ministry of Justice to build an ethics framework within the criminal justice system
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
