Developing approaches to map population distributions, demographics and dynamics through complementing traditional datasources (census, survey, registries) with new forms of geospatial data from e.g. satellite imagery and mobile devices.
Understanding the drivers of small area heterogeneities in population health and development in low and middle income settings.
We develop and implement open, robust and peer-reviewed geospatial methods for mapping population distributions, demographics and dynamics, with a principle focus on low and middle income countries.