Douglas Leasure
Douglas Leasure
Senior Data Scientist, The Leverhulme Center for Demographic Science
Doug’s research spans human demography, population ecology, geosciences, and Bayesian statistics. He develops novel methods to map populations and demographics with high spatial resolution using sparse survey data while accounting for uncertainty in population estimates to support informed decision-making for census support, government services, and global health initiatives. His interdisciplinary research combines powerful analytical approaches in human demography and population ecology with exciting new geospatial data derived from household surveys and space-based Earth observation platforms. To promote research with real-world impacts, Doug is committed to open science and develops web applications that translate scientific results into easy-to-navigate interactive maps and tools to facilitate uptake by stakeholders globally.
Before joining LCDS at the University of Oxford, Doug led the Spatial Statistical Population Modelling team in the WorldPop Research Group at the University of Southampton developing Bayesian statistical models and applying machine learning approaches to produce high resolution population estimates supporting initiatives of the Bill and Melinda Gates Foundation and the United Nations Population Fund. He was previously a post-doctoral research associate at the River Basin Center in the Odum School of Ecology, University of Georgia developing statistical models for NASA’s Ecological Forecasting program. He completed a PhD in Biological Sciences at the University of Arkansas where he held a Doctoral Academy Fellowship and was a post-doctoral research associate for the Cooperative Fish and Wildlife Research Unit of the United States Geological Survey.
Recent publications
-
Elemental composition and potential toxicity of the riverine macrophyte Podostemum ceratophyllum Michx. reflects land use in eastern North America.
Wood JL. et al, (2024), The Science of the total environment, 954
-
Social capital mediates knowledge gaps in informing sexual and reproductive health behaviours across Africa
Koebe T. et al, (2024), Social Science & Medicine, 357, 117159 - 117159
-
Mapping subnational gender gaps in internet and mobile adoption using social media data
Breen C. et al, (2024)
-
War and mobility: Using Yandex web searches to characterize intentions to leave Russia after its invasion of Ukraine
Anastasiadou A. et al, (2024), Demographic Research, 50, 205 - 220
-
“UPDATE: I’m pregnant!”: Inferring global downloads and reasons for using menstrual tracking apps
Rampazzo F. et al, (2024), DIGITAL HEALTH, 10