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Friday 15th June 2018

Isaac Newton Institute

United Kingdom


Uncertainty quantification (UQ) is a modern inter-disciplinary science that cuts across traditional research groups and combines statistics, numerical analysis and computational applied mathematics. UQ methodologies are useful for taking account of uncertainties when mathematical and computer models are used to describe real-world phenomena. This helps to better inform decisions, assess risk and formulate policies across multiple areas as diverse as climate modelling, manufacturing, energy, life sciences, finance, geosciences and more.
The scientific challenges of modern life, along with the recent rapid growth in computing power and the demand for more accurate and precise predictions in areas affecting improved infrastructures, public safety and economic well-being have spawned a recent surge in UQ activity. New UQ methodologies have and are continuing to be developed by statisticians and applied mathematicians independently.
The workshop was part of the six month programme at the INI on Uncertainty Quantification for Complex Systems: Theory and Methodologies and took place towards the end of the Programme, it focused on disseminating the key outputs and highlighted some potential outcomes that could be taken forward. It followed an earlier event within the Programme that looked at the challenges faced by some specific problem holders.

Aims and Objectives

This knowledge exchange event by the Turing Gateway to Mathematics featured a number of talks from academia as well as end users. It provided the opportunity for those from industry and the public sector, to access state-of-the-art theory and methods, as well as learn about best practice and helped to foster links between the various communities. It helped to further consolidate opportunities for collaboration between statisticians and applied mathematicians
A short introductory talk provided an overview of the Uncertainty Quantification Research Programme. This was followed by a number of academic talks that reviewed progress made over the duration of the Programme, in relation to some of the key research themes including:

  • Surrogate Modelling
  • Multi-level and Multi-fidelity Methods
  • Dimension Reduction Strategies
  • Inverse Problems
  • Design

Two end-user sessions included talks from the environmental/climate and energy infrastructure sectors. Speakers described how uncertainty is managed at present in their organisations and the challenges they face.
This event was of relevance to individuals from multiple sectors including energy infrastructure, engineering, environmental modelling, manufacturing, Government and the public sector.
A poster exhibition ran over the refreshment breaks.

Registration and Venue

A registration fee was charged to cover attendance at this event. This was £25 for academic and public sector attendees and £50 for industrial attendees. To pay the registration fee, use this link. (Please ensure you also complete the registration form).

There was no fee for registered participants of the INI Uncertainty Quantification Programme.
Please note that the Models to Decisions Network held its Annual Conference from 11th – 14th June 2018, during the INI Research Programme.
The workshop took place at the Isaac Newton Institute for Mathematical Sciences in Cambridge. Please see the Isaac Newton Institute website for further information about the venue.