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The spread of COVID-19 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. 

In order to maintain the highest standards, INI policies follow the UK Government’s guidance and that of the University of Cambridge’s Safety Office at all times.The welfare of our visitors and staff is very important to us and further details about COVID-19 safety measures can be seen on the INI website.

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.

Virtual Forum for Knowledge Exchange in the Mathematical Sciences

The Newton Gateway to Mathematics, Isaac Newton Institute (INI), International Centre for Mathematical Sciences (ICMS) and Innovate UK Knowledge Transfer Network (KTN) are working with various representatives from the mathematical sciences community to develop a virtual forum for knowledge exchange in the mathematical sciences.
The main aim is to identify a range of virtual approaches that will help address challenges from business and industry, the third sector, and other groups outside academia. These challenges may be long-standing or may have arisen directly as a consequence of the present disruption to UK society.
More details available here.

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Upcoming Events

Statistical Scalability for Data Streams: Recent Advances, Applications and Impact

Thursday 20th April 2023
Wellcome Collection

This in-person event will showcase research highlights from the StatScale Programme, the impact of this research and opportunities for organisations to engage with its findings. There will be talks from both academic members of StatScale and from our industrial partners, featuring some of the statistical breakthroughs in our research. These include areas such as change and conditional independence testing; and their application across scientific and industrial areas such as the environment, space and telecommunications.  

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Phase Transitions and Correlated Random Processes

Wednesday 10th May 2023
Isaac Newton Institute

Launched in 2016, CCIMI accommodates research activity on fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data. Data science research performed in the Institute is of the highest international level, aiming to extract the relevant information from large and high-dimensional data with a predictable certainty. This in-person event follows previous successful academic and industrial engagement events, which focused on different aspects related to the mathematics of information. 

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Wave Scattering in Complex Matter: Advances in Material Characterisation and the Design of Materials

Wednesday 31st May 2023
Isaac Newton Institute

This Open for Business event is part of an INI programme on the Theory and Applications of Multiple Wave Scattering and aims to build links between mathematical formulations of wave scattering, in direct and inverse forms, and practical implementations, focussing on acoustic, elastic and electromagnetic waves.

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Digital Twins for Engineering Applications - The Emerging Science and Technology

Wednesday 7th June 2023
Isaac Newton Institute

This Open for Business event is part of an INI programme on the mathematical and statistical foundation of future data-driven engineering and aims to bring together the community to discuss the latest research and innovation in digital twinning for engineering, providing an opportunity for networking and help foster cross-disciplinary connections 

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UK Graduate Modelling Camp

Monday 10th July 2023 to Friday 14th July 2023
Robinson College

This 5 day Modelling Camp caters for early career mathematicians, usually those in the first and second years of their doctoral studies, who are keen to get hands-on experience of mathematical modelling. It is also an excellent preparation ground for those who wish to attend the follow-on 5-day European Study Group with Industry (ESGI) 171, hosted by the Maxwell Institute (Heriot-Watt University and University of Edinburgh) and the International Centre for Mathematical Sciences (ICMS) from 17th to 21st July 2023 at Old College, University of Edinburgh. 

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7th Edwards Symposium – New Paradigms in Soft Matter and Statistical Physics

Wednesday 13th September 2023 to Friday 15th September 2023
Centre for Mathematical Sciences

The Edwards Symposium Series continues to highlight the latest developments in soft matter science with a particular (but not exclusive) emphasis on theoretical and mathematical models, and on how these models can inform industrial processes, materials, and design. Leading academic speakers will present their latest scientific work, aiming to foster collaborative and interdisciplinary discussions across the industry/academia boundary.

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Past Events

Mathematical Challenges in Defence and Security

Wednesday 15th March 2023 to Thursday 16th March 2023
Robinson College

This two-day event presented 6 problem statements developed by Dstl that have been taken forward as part of a Dstl funding call for short project delivery later in the year.

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New Mathematical Frontiers for Multi-Dimensional Radar Systems

Tuesday 21st February 2023 to Thursday 23rd February 2023
International Centre for Mathematical Sciences

This knowledge exchange workshop was delivered as part of the INI Programme on Rich and Nonlinear Tomography - a multidisciplinary approach (RNT). It was organised by the RNT Programme organisers, the Newton Gateway and ICMS with the NATO Science and Technology Organisation (STO).

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I certainly found the event interesting, entertaining and quite challenging. I also made some useful contacts in the academic community and I'm hoping that will lead to further collaboration.

Glyn Jones (Thales)

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The Newton Gateway is the impact initiative of the Isaac Newton Institute,  which is a national and international visitor research institute, running  research programmes on selected themes in mathematics and the mathematical sciences,  with applications over a wide range of science and technology.