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The University of Southampton
The Alan Turing Institute

Turing-sponsored Pilot Projects

Turing-sponsored Pilot Projects offer an opportunity for academics to develop new research ideas aligned with the Turing priorities and aim to be multidisciplinary.

The expectation is that successful, novel Pilot Projects will pave the way to substantial, inter-disciplinary and inter-institutional programmes at the Turing.

Current Projects

Photo by Grabriele Garanzel on Unsplash

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.

Image courtesy of Pixabay

AI and Inclusion

This project seeks to understand the design and deployment of Al to benefit all members of society, including traditionally underserved communities.

Photo by Christopher Burns on Unsplash

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.

Image courtesty of Unsplash

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.

Image courtesy of pixabay

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.

Image courtesy of Unsplash

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

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.



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

Jazz for Social Machines

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.

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