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University of Exeter

Research and Innovation blog

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data science

Optimising supply chains with machine learning

4 min read

A new Knowledge Transfer Partnership (KTP) between the University of Exeter and Applegate Marketplace launched this year, to help machine learning improve the company's decision-making.

Business in Focus: City Science

2 min read

Since the start of the collaboration in 2018, the Data Science team at Exeter and City Science have worked together on 9 projects, leveraging over £2 million of government funding and covering subjects around transport and energy optimisation, digital twin calibration, creation of open urban...

Transforming the use of quantum computers

2 min read

Dr Oleksandr Kyriienko, lead of the University of Exeter’s Quantum Dynamics, Optics, and Simulation group (QuDOS) is working in close partnership with Dutch start-up Qu & Co to develop quantum software with the potential to transform the way we use the huge power of quantum...

Reshaping the national PPE supply chain

2 min read

Using the expertise gained through their partnership with the University of Exeter, Applegate decided to set up the Covid-19 PPE Supply Hub, to link PPE customers with PPE suppliers throughout lockdown.

Partnership in Focus: Met Office

Policy Relevant Climate Research

4 min read

University of Exeter works closely with the Met Office to tackle key challenges in weather and climate prediction as part of an in-depth Met Office Academic Partnership.

Apprentices keep learning during the Covid-19 crisis

2 min read

Apprentices on the Digital Technology Solutions (DTS) and Data Scientist (Professional) Degree Apprenticeships programmes have been able to keep working and studying throughout the Covid-19 pandemic thanks to programme directors and academic colleagues moving to flexible, online teaching.

Data Science for Climate Resilience in East Africa

6 min read

TIST is a network of farmers who have to date planted over 19 million trees. The University of Exeter is working with TIST to quantify and understand TIST’s impacts at landscape scales and on multiple sustainable development goals.

Machine learning to reduce flooding as a result of sewer blockages

2 min read

A research project was undertaken between the University of Exeter and DC Welsh Water to develop a machine learning tool that could more accurately predict and identify potential blockages across the sewer network.