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Newton Gateway Case Studies

The Newton Gateway works with external partners to deliver activity and events. The case studies below highlight Programmes of Work where the Newton Gateway partnered with Warwick Centre for Predictive Modelling, the KTN (Knowledge Transfer Network), the Maths Foresees Network, BAE Systems, Microsoft Research, the University of Cambridge and the Judicial System.

Modelling Solutions to the Impact of COVID-19 on Cardiovascular Waiting Lists

The three-day virtual study group Modelling Solutions to the Impact of COVID-19 on Cardiovascular Waiting Lists was convened by the Newton Gateway in February 2021 on behalf of the Virtual Forum for Knowledge Exchange in the Mathematical Sciences (V-KEMS). It brought together clinicians and mathematicians to explore if and how mathematical models could be used to provide insights and solutions to the problem of prolonged waiting lists for cardiovascular conditions.

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Privacy Enhancing Technologies in Practice

From November 2020 to January 2021, the Newton Gateway, along with Professor Nigel Smart and in collaboratioon with the Digital Catapult, hosted a virtual event series recognising the need to help business and industry find effective ways to utilise the new PETs.

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Understanding Multi-Modal Data for Social and Human Behaviour

In November 2018, as part of the four-month Isaac Newton Institute Research Programme on Scaling Limits, Rough Paths, Quantum Field Theory, the Newton Gateway, in partnership with BAE Systems, organised a one-day “Open for Business” knowledge exchange workshop.

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Mathematical and Statistical Challenges in Landscape Decision Making

In September 2018, the Newton Gateway, in partnership with the Natural Environment Research Council (NERC) and the Department for Environment, Food and Rural Affairs (Defra), ran a two-day scoping workshop on evidence based decision making for UK landscapes.

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Algorithmic Trading: Perspectives from Mathematical Modelling

The emergence of new technologies and the advent of computerised trading have changed the landscape of financial markets in recent years, but there are concerns about the effect this is having on trading behaviours and markets. The Gateway held an event in February 2017, to explore the opportunities and challenges this presents. 

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Partners Case Studies

UK Success Stories in Industrial Mathematics

This publication showcases the work of UK mathematicians and statisticians by describing industrial problems that have been successfully solved, together with a summary of the financial and/or societal impact that arose from the work. The articles contain some mathematical detail, but the emphasis is on telling the story of a successful collaboration between academia and industry and on the results obtained.

A number of the articles within it involve examples of collaborations involving stakeholders that the Newton Gateway has worked with. They are based on Impact Case Studies that were submitted to the Research Excellence Framework (REF2014), a UK government sponsored exercise that assessed the research quality within UK universities. The foreword is written by David Abrahams, who was Beyer Professor of Applied Mathematics at the University of Manchester and is now Director of the Isaac Newton Institute.

Practical Uses of High-dimensional Data Quality Assessment in Genomics (Julia Brettschneider, University of Warwick)

While genes themselves are hardwired, their degree of expression depends on the type and condition of the organ cellular conditions and chemical environment.

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The Graph Whisperers (Peter Grindrod, University of Oxford; Desmond J. Higham, University of Strathclyde & Peter Laflin, Bloom Agency)

Researchers from the University of Oxford and the University of Strathclyde collaborated to help a digital agency develop its analytical techniques and give it an edge on its competitors.

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Industrial Application of Multiscale Texture Analysis (Idris Eckley, Lancaster University & Guy Nason, University of Bristol)

In the late 1990’s, researchers at the University of Bristol collaborated with scientists at Unilever to explore the utility of multiscale (wavelet) methods for characterising greyscale texture and constructed statistical models to enable the objective classification of image textures.

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Statistical Challenges in Retail Credit (David J Hand, Imperial College, London)

The retail credit domain is characterised by data sets which are large in terms of number of cases, with billions of card transactions per year, and in terms of number of variables, with some 70-80 items recorded for each card transaction, expanded to hundreds or even thousands in fraud detection applications.

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