To achieve this, our researchers are combing social and environment measurement with individual data and novel modelling approaches.
Another strand of the Centre's research expertise is geospatial demography, building high-resolution population estimations from survey data, satellite imagery and Bayesian modelling. National population mapping from sparse survey data uses Bayesian modelling to account for uncertainty. This includes building footprints from spatial data patterns or using GIS and machine learning to classify buildings. One of the Centre's recent projects combined these two strands of social media traces and geospatial modelling to nowcast population displacement in Ukraine during the war.
Another cluster of researchers examines climate, environment and demography, such as he effects of growing-season drought on women's life course transitions in sub-Saharan Africa, access to air pollution information of citizens or how a change in pollution congestion charges impacted school attendance.
A new study by researchers at the Leverhulme Centre for Demographic Science reveals that used vehicles sent from Great Britain to lower-income countries fail British roadworthiness standards, are more polluting and less fuel efficient than those sent to be scrapped.
A team of researchers at the Leverhulme Centre for Demographic Science, led by Dr Douglas Leasure, have published a novel paper that provides one of the only quantitative estimates of internal displacement in virtual real-time.
In this video, Dr Saul Newman summarises his new Nature Climate Change study which reveals that used vehicles sent from Great Britain to lower-income countries fail British roadworthiness standards, are more polluting and less fuel efficient than those sent to be scrapped.
