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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.
Theoretical foundations of engineering digital twins
Developing theoretical foundations underpinning digital twins for complex engineering systems
Actionable insights from free text police data
Using topic modelling to identify specific crime modus operandi from police free text data
A common interface for discrete choice
Assessing the viability of translating the ALOGIT software to Python and benchmarking it against other discrete choice modelling software
Model criticism in multi-agent systems
Enabling autonomous agents to reason about the adequacy of models used to predict the actions of
other agents
Double the trouble: gene regulation in polyploids
Predicting the gene expression patterns in brassicas - the plant group that includes broccoli, cabbage and cauliflower
New data forms for transport policies
Using new types of digital data to support more sustainable travel choices, reducing health, energy, security and other impacts to improve urban lifestyles
Statistical learning of battery lifetime prediction
Developing physics-informed machine learning of dynamical systems with applications to battery degradation
Decision-making under uncertainty in air traffic control
Investigating machine learning methods to support air traffic controllers
Intuitive human-robot interaction in work environments
Creating intelligent methods for the natural and intuitive handover of tools between robots and humans in work environments
Machine learning in Julia
Developing a machine learning toolbox for the Julia programming language, emphasising ease of use, reproducibility, high performance, rapid development and advanced interoperability.
Visual diagnostics for Markov Chain Monte Carlo (MCMC)
Designing visual diagnostics that articulate the concepts underlying robust MCMC computational algorithms
Citizen participation and machine learning for a better democracy
Using machine learning and natural language processing to overcome information overload in citizen participation platforms
Digital fingerprinting of materials microstructure
Investigating and developing new methods for concisely capturing the essence of a material’s microstructure
Social information and public opinion
Studying the individual mechanisms of public opinion formation
