"At the heart of statistics is the desire to understand causal relationships, but the perennial problem of spurious correlation limits us. In some cases disentangling the causal from the correlated is literally a matter of life and death.

Problems like climate change and logistics require an understanding of spatial and temporal dynamics to solve. A "traditional" Data Science approach generally fails in these situations and can lead to a misunderstanding of the data and therefore potentially catastrophic decisions. By using visually intuitive spatio-temporal graphs we can simultaneously solve difficult problems and begin to disentagle the merely correlated from the causally linked.

In these talks we will show a simple and intuitive approach to constructing spatio-temporal graphs from data. We show why and how you would do this, with reference to some real world success cases."

Join us in the Chemistry Building Lecture Theatre 4 on Monday 14th October 5-7pm to hear the first of four insightful talks by Robert Nicholls.