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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.
Turing benchmarking framework
Developing a cross-architecture benchmarking framework for data science algorithms
Nocell: Probabilistic programming for spreadsheet experts
Developing a programming language for probabilistic model-building, for organisations that produce spreadsheets as output
Analysis of jointly embedded cyber-security graphs
Developing statistical theory and methodology for combining information from different networks to uncover malicious activity
Uncertainty in agent-based models for smart city forecasts
Developing methods that can be used to better understand uncertainty in individual-level models of cities
Analysing humanities books and newspapers data
Text analysis using Cray's supercomputing analytics platform Urika-GX
Evaluating privacy-preserving generative models in the wild
Evaluating existing work on privacy-preserving synthetic data generation
Modelling the joint effects of temporal, heterogeneous datasets
Developing statistical methodology to jointly model temporal, heterogeneous datasets, with a focus on the effects of pollution and lifestyle on health
AI and inclusion
Seeking to understand the design and deployment of AI and inclusion to benefit those with disabilities, which will also provide digital accessibility for all members of society
Rhetorical structure of dark web interactions
Investigating the rhetorical strategies used by offenders in dark web chat rooms
Decision support to police violent crime
Developing tools to help assess the threat posed by specific individuals of perpetrating acts of extreme violence
Hate speech: measures and counter-measures
Measuring, analysing and countering online hate speech with advanced computational methods
Managing uncertainty in government modelling
Developing practical methods and tools for managing uncertainty in government modelling
Simulating cities with AI agents
Developing new approaches for modelling human behaviour in cities, for simulating urban dynamics
The data science of music
Applying data science and AI to music analysis and the lifecycle of musical works
