New Impacts of Rough Analysis is a two-day workshop at the Department of Statistics, University of Warwick. The aim is to bring together established and early career researchers in rough analysis, as well as connecting them with the growing number of researchers at Warwick who are interested in rough analysis.

This 2-day course covers the big data visualisation questions: *what* should I draw and *how* should I draw it. Discover how to represent your data visually, following guidelines that play to the strengths of our visual system while avoiding its weaknesses, using the R package ggplot2.

The North East and Midlands Stochastic Analysis Seminar (NEMSA) runs four times a year and the venue rotates between Durham, Oxford, Warwick and York. Each event takes place during an afternoon or over two days, with talks in the area of Stochastic Analysis.

Rare events occur in many different applications including finance, nuclear engineering and health care. Efficiently simulating these scenarios and accurately estimating the probability of such events occurring is challenging, yet crucial for prediction, uncertainty quantification, safety and regulation. Since exact solutions are rarely available and standard Monte Carlo techniques are usually inefficient, it is necessary to develop clever, more advanced techniques to simulate rare events well.

This workshop will look at some of these techniques and various applications where rare event sampling is pertinent.

Rare events sampling is crucial for many radiation transport scenarios, such as shielding calculations in fission reactors and dose verification for radiotherapy treatment. The aim of this workshop is to discuss some of the work and open questions in these areas.