Population Density Maps

Population density layers in mWater build on the pioneering machine learning work done by CIESIN in collaboration with Facebook researchers. In mWater, this publicly shared data has been projected... Population density layers in mWater build on the pioneering machine learning work done by CIESIN in collaboration with Facebook researchers. In mWater, this publicly shared data has been projected into WGS 84 Web Mercator and included in the mapping library to be made available as map layers in all visualizations. These layers can be used with any other map layers in the platform to deepen analyses.

In 2016 and 2017, 3,000 Red Cross volunteers in Malawi visited roughly 100,000 houses in just three days to educate people about measles and rubella vaccines. The project benefited from some... In 2016 and 2017, 3,000 Red Cross volunteers in Malawi visited roughly 100,000 houses in just three days to educate people about measles and rubella vaccines. The project benefited from some innovative technology: the world’s most detailed and accurate map of the local populations, created with help from a team of artificial intelligence researchers and data scientists at Facebook, working in collaboration with Columbia University’s Center for International Earth Science Information Network.

The Red Cross Missing Maps program used population maps to streamline a Malawi-based measles and rubella vaccination campaign, deploying local volunteers only to populated areas.