In Zambia, administrative boundaries are created by different institutions at different mapping scales with little coordination. As a result, boundaries are often not aligned. GRID3 Zambia facilitated coordination among all government agencies responsible for boundaries in Zambia to ensure a production of government- endorsed administrative boundaries.

In 2019, Data Science Nigeria (DSN), a non-profit organisation committed to driving solution-oriented applications of artificial intelligence in Nigeria, used the GRID3 Nigeria population estimates to calculate financial inclusion indicators in order to address the lack of access to financial services experienced by millions of Nigerians.

In Nigeria, GRID3 and the VaxPop team at WorldPop | University of Southampton helped refine the 2017-18 measles post-campaign coverage survey (PCCS) analysis and reporting.

Given national healthcare coverage gaps, understanding treatment-seeking behaviour for fever is crucial for the management of childhood illness and to reduce deaths.

The gridded population survey sampling methodology enables survey practitioners to design frames by utilising gridded population estimates.

Over the past decade, the use of Geographic Information Systems (GIS) to analyse access to education in Nigeria has become increasingly popular. However, there is currently no research that applies geospatial data to pinpoint where new schools should be constructed in the country.

In close coordination with the DRC’s Ministry of Health, GRID3 responds to vaccination challenges by using a participatory approach to mapping settlements and delineating health area boundaries from the bottom up.