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Upcoming Events

Uncertainty Quantification for Complex Systems – Development in Theory and Methodologies

Friday 15th June 2018
Isaac Newton Institute

Uncertainty quantification (UQ) is a modern inter-disciplinary science that cuts across traditional research groups and combines statistics, numerical analysis and computational applied mathematics.
This workshop is part of the six month programme at the INI on  Uncertainty Quantification for Complex Systems: Theory and Methodologies and will take place towards the end of the Programme, so will focus on disseminating the key outputs and will highlight some potential outcomes that could be taken forward. 

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Statistical Scalability for Streaming Data

Thursday 21st June 2018
Isaac Newton Institute

Challenges in streaming data arise in numerous fields – consumer products, financial transactions, computer network traffic, transport and communications networks and energy systems are just some of them. As with statistical scaling generally, this requires an integrated approach.

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3rd Edwards Symposium - New Horizons in Soft Matter

Wednesday 5th September 2018 to Friday 7th September 2018
Centre for Mathematical Sciences

This Series is both a tribute to the life and work of Professor Sir Sam Edwards FRS, one of the great scientific minds of the 20th Century, and a recognition of the fast evolving and diverse nature of soft matter science. Sir Sam’s played a pivotal role in bringing advances in the physical sciences to bear on major industrial problems. His fundamental contributions to the field of soft matter ranged from polymer melts, through gels, colloids, granular materials and glasses to optimisation problems.

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Past Events

The Mathematics of Machine Learning - A Research Conference of the Cantab Capital Institute for the Mathematics of Information

Thursday 24th May 2018
Isaac Newton Institute

This one day conference brought together those academics working to advance data science and provided an update on research and collaborations taking place at CCIMI, associated challenges and other potential collaborative opportunities, it also highlighted projects being developed elsewhere related to machine learning.

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Developments in Healthcare Imaging - Connecting with Academia

Wednesday 2nd May 2018
Isaac Newton Institute

This one day conference brought together those academics working on advances in imaging technology with researchers who investigate new image analysis methods, to help address current challenges. New imaging technology goes side by side with the need for mathematical models to maximise the information gain from these novel imaging techniques.

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The study groups provide an outstanding way for us to engage with the academic community. The key is that the study groups engage a wide range of individuals who actively work on a problem. As a result of this approach we can gain much deeper insights than we could by working alone, or even by holding a workshop. By the end of a study group we have usually made real progress in our understanding. That could mean identifying that a particular solution is a dead end. It could mean that we have an actual working solution. Or it could mean that we have scoped out useful future research, so we can focus our efforts in the areas will it make the most difference.

Adam Baylis | Environment Agency Environmental Modelling in Industry Study Group, April 2017