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Essential Coronavirus Update for Newton Gateway Activities

The spread of novel coronavirus (COVID-19) has presented great challenges for organisations such as the Newton Gateway as activity takes place with those from industry and academia from across the globe and for whom collaboration is a regular and important part of their working lives. 

We continue to work mostly remotely. Events that were to take place physically have been rescheduled and are now taking place virtually. Some were moved to 2021 and we hope that some will be able to take place semi virtually or physically. We continue discussions with our partners about the arrangements for these events and continue to plan for additional upcoming activities.

Please do keep in touch and let us know if you have any questions - either direct to one of the Gateway team or via our main email address.

Newton Gateway Events

The Newton Gateway to Mathematics delivers activity across a broad range of sectors and engages in partnership with the users of mathematics - academics from other disciplines, those from industry and the public sector. 
Activities are bespoke and may originate from the need to address a specific technical issue or look for a better solution. Alternatively, they could be in response to the need to obtain ideas for next generation solutions from mathematicians involved in frontier research.

Activities take a number of forms:

  • Events - workshops and consultations
  • Training programmes
  • Short to medium-term research programmes
  • Projects

The Newton Gateway delivers Open for Business knowledge exchange events on behalf of the Isaac Newton Institute. These are specifically designed to bring together industrial, commercial and government organisations with mathematical scientists and can be run as part of an ongoing research programme, or as an independent event.


Past Events

Unlocking Data Streams

Tuesday 16th March 2021

Our experience of the world is multimodal and understanding multimodal data streams (complex sequences of data from different sources), is a key challenge of rough path theory and more generally for data science. This workshop aimed to increase awareness of the research and applications being undertaken by the DataSıg team. The Programme sought to further develop signature-based mathematical tools for dealing with complex streamed data, and connect with partners who have the capability and the challenges to benefit from and achieve significant outcomes with the methodology.

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Modelling Solutions to the Impact of COVID-19 on Cardiovascular Waiting Lists – Virtual Study Group

Tuesday 2nd February 2021 to Thursday 4th February 2021

This study group aimed to bring together researchers and clinicians to provide further insight into these complex challenges through a variety of mathematical approaches. Previous work through V-KEMS discussed general mathematical principles which could be considered and a number of different scenarios will be modelled.

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Privacy Enhancing Technologies in Practice

Tuesday 19th January 2021

Due to Covid19 this workshop ran virtually in a series of five weekly one and a half hour events. We still plan to run a physical one day event in 2021, possibly May. The November/December and January events featured conversations with experts who are deploying this technology, as well as end-users who are interested in applying them.

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Mathematical Study Group for Electromagnetic Challenges

Wednesday 6th January 2021 to Friday 8th January 2021

This three day virtual study group followed two research scoping workshops which took place in September and January 2020. It formed part of a programme of work with Dstl and PA Consulting which began in 2019 and which seeked to apply mathematics to challenges in the electromagnetic environment (EME).

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Cantab Capital Institute for the Mathematics of Information – Connecting with Industry

Wednesday 25th November 2020

The main focus of this industrial engagement event was to provide an update on research and collaborations taking place at the CCIMI, as well as presenting interesting research being developed elsewhere. Speakers looked to explore the big questions in data science, especially where mathematics is most suited to help provide answers.

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