A Private Data Integration Platform
This Turing Enhancement project aims to further develop these developing results and release an open-source system that will propel the adoption of our technology.
Data Science and Applied Mathematical Modelling
This Turing Enhancement project seeks to develop the use of contemporary data science techniques in the context of applied mathematical modelling.
Machine learning algorithms
'Machine learning algorithms for automated event detection in Space Physics' focuses on the use of machine learning for feature identification of reconnection signatures.
AI and Inclusion
This project seeks to understand the design and deployment of Al to benefit all members of society, including traditionally underserved communities.
Machine learning of seismicity
'Machine learning of seismicity induced by hydraulic fracturing' analyses the complex interplay between fluid injection, geological factors affecting susceptibility, and seismicity.
Towards flexible autonomy
'Towards flexible autonomy for swarms in dynamic and uncertain environments' aims to develop the elements for research for the design of swarm coordination systems.
Topological complexity of neural networks
This project will investigate some foundational questions regarding the quantification of the complexity of neural networks and developing new tools to assist architecture discovery.
Strategic influence in dynamic opinion formation
'Strategic influence in dynamic opinion formation: Theory and data', focuses on theoretical advances in influence maximization for dynamic models of opinion formation.
Predictive AI in the Criminal Justice System
'A Multidisciplinary Study of Predictive AI Technologies in the Criminal Justice System' focuses on the predictive AI technologies used to identify the geographic areas where policing resources should be targeted.
Anonymisation and Provenance
This project is to conduct the pilot phase of a study that explores utilising prescriptive and descriptive provenance to clearly delineate data environments for better Functional Anonymisation.
TriagED
This project aims to take advantage of the data collected by EDs at all patient visits to develop probabilistic machine learning models to predict patient outcomes at the point of departure from an EDs
A Smart Algorithm for Optimising Hypertension
This research project aspires to create a cutting edge smart algorithm in the burgeoning area of Big Data science.
Jazz as Social Machine
This project asks: How is it possible to discuss, let alone quantitatively measure, the 'energy' in jazz's interactions?
Mapping Biology
This project will focus on the problem of mapping biology from mouse to man in order to determine how experiments in mice are likely to provide information that is clinically relevant.
Automatic Detection of Genetic Oscillators
This project seeks to combine new high-throughout single-cell profiling with advances in data analytics and network modelling