Events

Stochastic Optimal Control (CIMAT)

Continuum Modelling and Computation from Biology to Mechanics (UNAM)

Applied Analysis of Operators, PDE, Functionals (IIMAS-UNAM & Media)

The event consist of two parts: The school in IIMAS-UNAM between 30 March and 3 April 2017, and the workshop in Merida on 5-7 April. More information will follow in due course.

Uncertainty quantification: When PDEs meet data science (Bath)

BUC5 will pursue two main aims: To bring together statisticians who work on large-scale modelling with researchers from scientic computing and numerical analysis who are interested in high- (or infinite-) dimensional problems and UQ. To bring the most promising and novel methods from both communities in a synergistic way to bear on real, large-scale applications.

New frontiers: Advanced modelling in space and time (Bath)

BUC4 is the third in the series of workshops with the theme of Big Data and Statistics in Environmental Research. As with previous BUCS, there will be a short-course and a conference for PhD students and young reseachers.

Trees and tree-like structures (CIMAT)

A non-traditional workshop will look at open questions and problem formulation in the realms of random trees and tree-like stochastic processes. The workshop consists of problem formulation and group discussion leading to collaborative resaerch.

Thinking globally: The role of big data (UNAM)

BUC 2 will include a PhD conference and short-course, the second in the series on Big Data and Statistics in Environmental Research; `Thinking globally: the role of big data’ to be presented by Gavin Shaddick (Bath), Dan Simpson (Bath) and Karim Anaya-Izquierdo (Bath)

When populations and hazards collide: modelling exposures and health risks (CIMAT)

BUC 1 included a PhD conference and short-course; `When populations and hazards collide: modelling exposures and health risks’ presented by Gavin Shaddick (Bath) and Jim Zidek (UBC). The short-course was the first in a series of three on Big Data and Statistics in Environmental Research.