The GRID3 initiative facilitates the production, collection, use, and dissemination of high-resolution population, infrastructure and other reference data. The overall aims are to support decision-making in low- and middle-income countries, and United Nations’ Sustainable Development Goals (SDGs). The GRID3 partners, CIESIN, UNFPA, Flowminder Foundation and ourselves have been working closely with governments and local stakeholders in Sub-Saharan Africa.

Our core activity within the initiative is in method development and implementation of high-resolution population mapping. This often involves bespoke modelling methods for estimation of population numbers in the absence of national census utilising machine learning and Bayesian statistical approaches. High resolution geo-spatial covariate production is included in this process, as well as microcensus sampling design and questionnaire development, model development, data visualization and user interface development that enables the easy and timely uptake of outputs by stakeholders.

We also provide assistance to national census authorities to improve their use of geospatial data collection technologies, incorporation of remote sensing data, use of GIS, and related activities into census planning and operations.

We have developed training materials and a curriculum on GIS, geospatial analysis, hybrid census, population estimation, and ‘R’ programming and delivered these through in-person and remote capacity strengthening workshops and during regional workshops organised by UNFPA. We have also developed tools enable easier data utilisation and survey design:

• population data repository and user interface – wopr and woprVision,
• automated simple population estimation tool,
• pre-Enumeration Area delineation (Qader et al., 2021), and
• sample design for surveys – GridEZ.