Mathematics for Measurement

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Mathematics for Measurement

 30 Jan - 02 Feb 2017

ICMS, 15 South College Street Edinburgh

Scientific Organisers

  • Alistair Forbes, National Physical Laboratory
  • Des Higham, University of Strathclyde
  • Alison Ramage, University of Strathclyde

About:

The first objective of this workshop was to bring together internationally leading mathematical scientists with expertise in: data assimilation; uncertainty quantification; probabilistic numerics'; inference in complex systems and statistical model comparison; and high performance scientific computing.  The second objective was to draw particular attention to success stories and pressing challenges in two fields: the environment and resilient cities.  It was also the aim of the organisers to encourage the UK mathematical community to engage more fully with current activities in metrology.  The workshop brought together a mix of applied mathematicians, applied statisticians and related researchers from government labs, industry and stakeholder organisations, with an emphasis on accessible presentations that will encourage new research collaboration and knowledge exchange.

Speakers

  • Peter Harris, National Physical Laboratory - Solving Large Structured Non-Linear Least-Squares Problems, with an Application in Earth Observation
  • Marian Scott, University of Glasgow - Measurement in Archaeological Dating
  • Olha Bodnar, Physikalisch-Technische Bundesanstalt - Objective Bayesian Inference with Applications to Generalized Marginal Random Effects Model
  • Dirk Husmeier, University of Glasgow - Parameter Inference and Model Selection in a Partial Differential Equation Model of Cell Migration, Applied to High-Resolution Microscopy Data
  • David Lloyd, University of Surrey - Data Assimilation for Self-Excitation Processes
  • Martin Benning, University of Cambridge - Gradient Descent in a Bregman Distance Framework
  • Donald Estep, Colorado State University - A New Approach to Stochastic Inverse Problems for Scientific Inference
  • Francois-Xavier Briol, University of Warwick - A Probabilistic Numerics Approach to Monte Carlo Integration
  • Antonio Possolo, National Institute of Standards and Technology - Plurality of Type A Evaluations of Measurement Uncertainty
  • Valerie Livina, National Physical Laboratory - Tipping Point Analysis of Ocean Acoustic Noise
  • Louise Wright, National Physical Laboratory - Mathematics for Measurement and Design of Advanced Materials
  • Ian Roulstone, University of Surrey - Data Assimilation and Modelling the Carbon Cycle
  • Ian Vernon, Durham University - Bayesian Computer Model Analysis of Robust Bayesian Analyses
  • Melina Freitag, University of Bath - Balanced Truncation Model Order Reduction for Stochastically Controlled Linear Systems
  • Alison Ramage, University of Strathclyde - A Multilevel Preconditioner for Data Assimilation with 4D-Var
  • Des Higham, University of Strathclyde - Monte Carlo Efficiency
  • Neil Chada, University of Warwick - Reduced Basis Method: Computational Speedup of Inverse Problems