Uncertainty quantification: When PDEs meet data science (Bath)
BUC-V 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)
BUC-IV 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-II 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-I includes 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 is the first in a series of three on Big Data and Statistics in Environmental Research.
