Engagement

Events

Royal Society Meeting on Numerical Algorithms for High-Performance Computational Science, Royal Society, 4 February 2019.

Workshop on Data Science and Crime, University of Strathclyde, 11 December 2018 – Summary of event

Public Engagement

Mark Girolami, Can AI Predict Crime?, ABC Radio, Australia, 20 June 2018, Download Audio.

Mark Girolami, Future crime: Detection and prevention, The Royal Institution, London, 8th May 2018, Download slides, Video Link.

Public Lectures

Mark Girolami, Artificial Intelligence, Prediction and Criminal Justice Decision-Making, RUSI, London, May 2 2018.

Des Higham, Using Software to Predict Crime, JusticeTech 2017, Edinburgh, December 6, 2017.

Research Talks

MLMC methods using approximate distributions, Algorithms and Complexity for Continuous Problems, Dagstuhl, Germany, August 23, 2019

Multilevel Monte Carlo methods using approximate distributions, 28th Biennial Conference on Numerical Analysis, Glasgow, June 28, 2019

Nick Higham, Matrix Functions and their Sensitivity, Conference on Scientific Computing and Approximation, Purdue University, March  2018.
Nick Higham, Iterative Refinement in Three Precisions for Fast and Accurate Solution of Ill-Conditioned Sparse Linear System, SIAM Conference on Parallel Processing for Scientific Computing, Waseda University, Tokyo, Japan, March 2018.

Mark Girolami, Stochastic Modelling of Urban Structure, Initiative seminar on Digitalisation: Security & privacy, Chalmers University of Technology, Sweden, 15 March 2018.

Louis Ellam, Stochastic Modelling of Urban Structure, Uncertainty Quantification for Stochastic Systems and Applications, IPAM UCLA, Los Angeles, November 12-17 2017.

Mark Girolami, Stochastic Modelling of Urban Structure: A Bayesian Perspective, Bayes on the Beach 2017, Surfers Paradise, November 13-15, 2017.

Nick Higham, The Rise of Multiprecision Computations, 24th IEEE Symposium on Computer Arithmetic, Imperial College, London, July 24-26, 2017.

Mark Girolami, Retail Planning in Future Cities: A stochastic formulation of a dynamical singly constrained spatial interaction model, Statistical Data Science, Imperial College, London, July 3-5 2017.