From: Rob Scheichl r.scheichl(a)bath.ac.uk Date: October 11, 2017 Subject: UQ Workshop, UK, Jan 2018
Key Uncertainty Quantification methodologies & motivating applications Isaac Newton Institute, Cambridge, 8 - 12 January 2018 http://www.newton.ac.uk/event/unqw01
Registration for this workshop is open through to 29 October 2017.
Uncertainty Quantification (UQ) concerns the assessment of uncertainties and errors in complex mathematical models. Sources of uncertainty and error include uncertain model inputs, noisy data, incomplete knowledge of the model, and errors in numerical approximations. A variety of UQ methodologies have been developed by the Statistics and Applied Mathematics communities, often addressing similar problems from different perspectives, or using similar techniques but with different emphasis and nomenclature. This workshop will bring together leading researchers from both Statistics and Applied Mathematics for a series of introductory and tutorial presentations. The aim is to improve the understanding within each community of the others' research methods, and to identify common key challenges. The third community invested in UQ problems are the domain area experts and practitioners. The workshop will also include presentations from speakers from a variety of important application areas. The aim is to identify key applied, generic, problems for which UQ solutions are required.
Please see the workshop webpage for a list of speakers and tentative titles, and for registration details.
This workshop is the first event in a six-month programme on Uncertainty Quantification at the Isaac Newton Institute, see http://www.newton.ac.uk/event/unq