Programmer geographer amateur economist climate obsessive & seeker of the perfect planning / chaos balance.
Dan is a postdoctoral researcher at the Sheffield Methods Institute. With a background in agent-based modelling, Dan now researches a diverse range of things from the impact of wind farms on house prices to the effect of culture on where migrants choose to locate. Dan loves a good data visualisation, whether on-screen or 3D-printed.
Dan's PhD and previous work has looked at using agent-based modelling to better understand spatial economics and modelling how internal UK trade flows might change if fuel costs rise.
Dan also takes part in Sheffield Data for Good (where we recently helped youth homelessness charity Roundabout understand their data better), and Carbon Neutral University Sheffield where he helped to produce an activist's guide to decarbonising universities.
Dan Olner received funding from the Economic and Social Research Council for his work on the Urban Big Data Centre (Grant Reference: ES/L011921/1) and the Understanding Inequalities project (Grant Reference: ES/P009301/1).