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Research projects
Focused examples of research undertaken at the Turing, within programmes or independent from them and with a range of goals and aims
AI for precision mental health
Producing AI tools than can personalise mental health profiles and advance the precision of early diagnosis and subsequent treatment
Neural networks with natural language explanations
Developing neural network models that can both learn from natural language explanations and use them to explain their decisions
Discovering polarity change in word meanings
Advancing computational and mathematical models to discover the change in words’ polarity, from positive to negative or vice versa, in large-scale web archives
Data-driven experiment design
Developing new statistical tools to select the most informative biological laboratory experiments to perform, to maximise learning and minimise research costs
Crowdsourced and citizen science
Establishing best practice guidelines for gathering and analysing data from crowdsourced and citizen science experiments
High performance, large-scale regression
Investigating the effectiveness of distributed computer systems for running regression analysis, a process which determines the relationships between large numbers of variables
Developing an ethical framework for explaining algorithmic decision-making
Explaining the processes, services, and decisions delivered by AI, in conjunction with the Information Commissioner’s Office
Political volatility
Using techniques such as natural language processing to quantify trends and changes in the volatility of public opinion before and after widespread use of social media
Ada Lovelace Institute
Harnessing the power of data, algorithms, and artificial intelligence for social well-being, in partnership with the Nuffield Foundation
Adaptive optimisation algorithms
Developing and improving the mathematical ‘machinery’ that will help optimisation algorithms be adaptable to diverse real world data
Understanding human behaviour with online data
Investigating whether large online datasets from sources such as Google, Twitter, and photo sharing sites can help measure and predict human behaviour
Predicting data centre system failures
Analysing data centre resource use and failure logs to better understand how and when failures occur, and how best to mitigate them
Optimising flow within mobility systems with AI
Using interactive data visualisation, mathematical and computer modelling, and machine learning to transform the way cities are planned and urban traffic is managed
Data-driven policing
Designing decision support systems that combine crime data with other forms of intelligence to inform the policing of serious violence that is often enacted or enabled collaboratively
