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Essential Coronavirus Update for Newton Gateway Activities

The ongoing spread of novel coronavirus (COVID-19) presents 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. 

Following the announcement from the Vice Chancellor about the University's response to the spread of novel coronavirus (COVID-19), the Isaac Newton Institute  temporarily closed its doors on Friday 20 March. We are all greatly saddened by this necessary decision, however we are all working remotely. 

A number of the events that were to take place in the near future have been postponed until later in the year. 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

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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

Mathematics for the Prediction of Financial Risk

Wednesday 12th March 2014

The Turing Gateway to Mathematics and the University of
Cambridge's Statistical Laboratory held a half day workshop on
Mathematics for the Prediction of Financial Risk on Wednesday 12th March
2014.

With contributions from Deloitte and Barclays, this workshop
presented state of the art mathematical approaches and real-life
examples of the issues and techniques used from insurance and banking
perspectives. Other finance experts from the University included
econometricians, and were on hand to offer contributions which included a
mini-stats surgery and discussion and networking session.

Read more

University of Cambridge Mathematical Sciences Showcase

Wednesday 29th January 2014

The University of Cambridge Centre for Mathematical Sciences (CMS) held a showcase event to highlight areas of research and expertise on Wednesday 29 January 2014. The event took place at the Isaac Newton Institute and Centre for Mathematical Sciences site in Clarkson Road, Cambridge.

It was attended by over 120 representatives from industry and
academia and provided the opportunity to share and explore specific
areas of research, to better understand how mathematical sciences could
impact on business and policy across a wide range of areas.

The event began with a series of short talks highlighting areas
of mathematical sciences and was followed by an exhibition that
included research group projects, industrial case studies and
information about project opportunities for industry. Specific exhibits
related to numerical analysis, fluid dynamics and image processing, as
well as mathematics outreach.

The Showcase gave participants the opportunity to:

  • Meet leading mathematicians involved in state-of-the-art mathematical techniques and methods
  • Learn more about the potential of mathematics to help provide solutions to real-world problems
  • Find out how to collaborate and partner with the University through research, projects and studentships
  • Network with senior researchers, industry and government


Read more

1st UK Workshop on Optimisation in Space Engineering (OSE)

Tuesday 5th November 2013 to Wednesday 6th November 2013

The first UK workshop on Optimisation in Space Engineering (OSE) was
held on 5-6 November 2013 in Birmingham. This event jointly organised by
the Turing Gateway to Mathematics (TGM), the European Space Agency (ESA), and the University of Southampton and it was hosted by the University of Birmingham.

Attended by some 22 representatives from academia and industry,
this workshop aimed to provide a forum of excellence in the area of
optimisation in space engineering. Participants were able to share their
latest engineering problems and a number of solutions and ways forward
were proposed.

Key outputs from the workshop were:

  • Formation of an Optimisation in Space Engineering Working Group
  • Agreement for a second larger UK Workshop on Optimisation in Space Engineering to be held 19-20 March 2014 in Cambridge


Read more

Mathematical Finance Gateway Event

Thursday 28th March 2013

The mathematical sciences play an increasingly important role in the
measurement, monitoring and management of risk in today’s increasingly
complex financial markets and institutions. The realm of quantitative risk management
has come to encompass a range of topics: market volatility, interest
rate risk, credit risk, default risk, counterparty risk, high frequency
trading, systemic risk, liquidity risk, which are challenging to model.

Recent turmoil in financial markets
highlighted the need for a better and more sophisticated approach to
quantitative risk management and stimulated the interest of industry for
exploring new research approaches for facing current challenges.

This event brought together academic
researchers and industry experts in quantitative risk management and
mathematical modelling in finance, to discuss and explore new challenges
in quantitative risk management and emerging research directions, and
mentor early career researchers.

Read more

Stochastic and Statistical Models at the Interface of Modern Industry and Mathematical Sciences

Wednesday 27th March 2013

Many modern industrial research and development problems involve a
mixture of deterministic and stochastic dynamics where the principal
challenge is the quantification and management of uncertainty at all
levels of the product development cycle. Problems dealing with
optimisation of stochastic processes, hierarchical modelling and
coarse-graining, uncertainty quantification, model selection and risk
assessment appear with increasing frequency at industry-academic
meetings such as the regular Study Groups with Industry organised by the
Smith Institute.

The classical framework of deterministic mathematical modelling in
which a problem is reduced to an ordinary or partial differential
equation to be solved by a mathematical scientist is inappropriate for
such problems due to the high level of noise. Purely data-driven
analyses based on the framework of classical statistics are equally
unhelpful since they often under-emphasise the generative mechanisms
underlying observed phenomena and lead to a proliferation of poorly
understood "black boxes".

A mathematical modelling framework in which stochastic processes play
a central role is essential to making progress in solving such
problems. This requires the ability to combine the insight and
understanding obtained from the mathematical analysis of deterministic
mathematical models with the power of modern statistical inference to
constrain the parameters and complexity of such models even in the
presence of high levels of uncertainty or noise.

The academic expertise to frame such problems already exists within
mathematics and statistics departments in the UK and at the University
of Warwick in particular. A new generation of mathematical scientists
are currently completing their PhDs in the likes of Warwick's Centre for
Complexity Science and MASDOC Centre for Doctoral Training where
mathematical modelling, analysis and statistical inference are taught
side by side.

This one-day meeting at the Isaac Newton Institute brought together
representatives from UK industry with early career researchers and PhD
students to establish relationships which will facilitate the transfer
of expertise in both directions across the academia-industry interface
in the mathematical sciences.

Read more