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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

E.g., 2019-03-21
E.g., 2019-03-21

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

Mathematics of Liquid Crystals: Industrially Inspired Problems

Wednesday 27th March 2013

Liquid crystals, through their use in technology, have had a profound
impact on many facets of life today. Despite their widespread use, they
are still incompletely understood. The workshop Mathematics of Liquid Crystals: Industrially Inspired Problems
brings mathematicians in academia working in the field of liquid
crystals together with representatives of industry producing liquid
crystal materials and devices.

The goal of the workshop was to provide an
opportunity for industrial representatives to interest mathematicians in
challenging problems which had arisen in device development and
manufacturing, and for mathematicians to apply their skills to the
solutions of these problems.

Read more

Policy Support in Communities and Local Government

Tuesday 26th March 2013

The Department for Communities and Local Government (DCLG) wanted to
engage with academic mathematicians and statisticians to address major
policy challenges and to inform its decision-making. The Turing Gateway
to Mathematics invited interested academics, and especially early career
researchers, to take part in this one-day workshop at the Isaac Newton
Institute in Cambridge on 26 March 2013.

Generally, DCLG works to move decision-making
power from central government to local councils. This helps put
communities in charge of planning, increases accountability and helps
citizens to see how their money is being spent.

Some of DCLG’s responsibilities include:

Read more

Industrial Statistics

Monday 25th March 2013

The statistical sciences are key to the efficient collection,
understanding and exploitation of data in all areas of industry,
including emerging and high-value sectors. In addition, challenges from
industry and science continue to provide stimulus for new research
directions for the discipline.

This event brought together researchers from
industry, applied and methodological statistics to explore new
challenges, disseminate best practice and to encourage and mentor early
career researchers.

Three themes were identified for the workshop
that were of current and direct interest to industry and that cut
across a variety of areas of research in Statistics.

Read more