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Bio
Bowen is a research associate at the Urban Analytics. His research interests include utilising urban big data for analysing & predicting human mobility patterns and predicting risks related to climate change in urban environments based on human activity and socio-demographic factors.
Prior joining to the UA group, he was a doctoral student of the Department of Geography at King’s College London
Projects
Clim Recal
Collection of methods to de-bias climate projection data (sub-component of DyME-CHH but also used as independent codebase)
DyME - Climate, Heat and Health (DyME-CHH)
Use disaggregated climate data to model the health effects of heat exposure in different population groups, based on where they live and how they move
Synthetic Population Catalyst
Tool that creates a synthetic population for any area within Great Britain, including socio-demographic, health and daily activity data. Calibrated to 2020, with projections of some variables to between 2012 and 2039.