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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

Design of Experiments in Drug Development - Open for Business Event

Thursday 9th July 2015

One of the most important areas in drug development is the design of
experiments. The better these are, the more efficient the trials. Such
efficiencies lead to fewer patients, shorter timeframes and reduced
costs. There is therefore a need for more seamless and complex adaptive
designs in drug development and mathematical and statistical
methodologies and models are key to such improvements.

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The Role of Inverse Problems and Optimisation in Uncertainty Quantification

Wednesday 17th June 2015 to Thursday 18th June 2015

In current decision making, it is usual to update a probabilistic model of the system using a mixture of data assimilation and inverse problems solutions and to then frame a stochastic optimisation problem in order to make decisions as the need arises. Heuristic methods are used for both the data assimilation and for the stochastic optimisation problem. However, stochastic control and sequential decision theories indicate that this process is sub-optimal, but it is far from obvious how to do better. So, can the mathematical sciences provide anything to improve matters?

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Challenges in Dynamic Imaging Data

Tuesday 9th June 2015 to Friday 12th June 2015

The processing and analysis of time-varying data encompasses many challenges, such as how to manage time varying aspects in order to understand and analyse dynamic image contents, detect objects, track and analyse their behaviours so that what is happening in a sequence of images can be better understood. For instance, the parsing of a video sequence to provide a narrative of what is occurring remains a challenge, in terms of who or what is involved and their interactions. On the other hand, rapid acquisition and processing of dynamic processes in medical imaging is challenging due to physical and technological limitations. CCTV for instance, is increasingly commonplace and has proved to be an invaluable tool in the investigation of crime ranging from petty theft to the global threat of terrorism. Dynamic imaging in biomedicine is used to investigate the functionality of organs down to the dynamics of cells and molecules. 3D conversion in media industry requires the processing of high definition videos.

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Reasoning via Formal Models in Economics - Normative vs. Positive Models

Wednesday 13th May 2015

Normative and positive models are usually taken to reflect the "should"
and "could" aspects of choice, respectively. But sometimes the distinction
isn't so clear.

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Scoping Meeting on Incorporating Uncertainty Quantification into Biophysical Multi-scale Models of the Heart

Thursday 7th May 2015

Programmes with a focus on models of the heart have been held at the
Isaac Newton Institute in 2001 and again in 2009. We are proposing to
hold a new programme, centred on the need to bring uncertainty
quantification techniques into models of cardiac physiology to enable
parameter estimation, quantify sensitivity and provide guidance on model
confidence. We feel this is critical for cardiac models to play a role
in clinical applications, informing pharmacological studies and
interpreting larger and noisier experimental data sets.

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