One of GRID3’s programmatic goals is to strengthen countries’ capacities to use geospatial data and technologies for development interventions. GRID3 delivered an extensive training of trainers (ToT) programme in Zambia which was attended by urban planners. As a result of these trainings, planning councils look to use geospatial solutions to inform integrated development plans (IDPs).

To support the National Malaria Elimination Programme with digital microplanning for an upcoming malaria bednet distribution campaign in Kano state, Nigeria, GRID3 produced 484 microplanning maps.

The GRID3 Mapping for Health project has reached a major milestone in its 19-month effort to support vaccination interventions in the Democratic Republic of the Congo.

As DRC has one of the highest rates of maternal, child, and infant mortality in sub-Saharan Africa, one aspect of the GRID3 M4H project focuses on the integration of gender and social inclusion (GESI) into vaccination programmes. This work achieved a milestone in May with the organisation of a roundtable focused on the intersection of gender and vaccination.

On 22 November 2020, Tropical Cyclone Gati made landfall on the Puntland State of Somalia’s coast. Drawing on new skills and techniques acquired during a series of GRID3 capacity strengthening sessions, the Puntland Statistics Department used geospatial data to effectively coordinate the state’s disaster response. 

GRID3’s Trainer Support Programme approach facilitates in-country partners’ efforts to educate and train future generations of data experts.

To ensure long term integration and sustainability of geospatial analytics in the country, the Government of Nigeria, under its National Space Research and Development Agency (NASRDA), is taking over the management, hosting, and maintenance of GRID3 Nigeria data and portal. 

Nathaniel O. Solomon is a Nigerian artificial intelligence (AI) enthusiast and one of the two winners of the 2019 GRID3 Data Challenge from the Data Science Nigeria AI Bootcamp. This article features his journey and work to support Nigerian start-ups through a target location analyser.

‘Yosola Adekanmbi Oluwaseun is a Nigerian artificial intelligence (AI) enthusiast and one of the two winners of the 2019 GRID3 Data Challenge from the Data Science Nigeria AI Bootcamp. Read about ‘Yosola’s journey and GIS concept note to reduce the impact of solid waste management for communities in Nigeria.

‘Yosola Adekanmbi Oluwaseun and Nathaniel O. Solomon are two Nigerian artificial intelligence (AI) enthusiasts and the two winners of the 2019 GRID3 Data Challenge from the Data Science Nigeria AI Bootcamp. Discover their journey from AI to Geographic Information Systems (GIS).

The GRID3 Training Team has been working full speed to develop an online Learning Management System (LMS) that will make it possible to train hundreds of data experts during a time in which COVID-19 makes in-person interaction impossible. Now the platform is ready and being implemented in various of the GRID3 countries.

As the outbreak of the new coronavirus begins to extend into sub-Saharan Africa, GRID3 is marshalling its data resources and capacities to help partner governments plan rapid, effective responses.

GRID3 has recently launched a webinar series in which GRID3 experts break down technical details about our work in a user-friendly and easily understandable manner.

From 18 to 23 November 2019, GRID3 Nigeria joined Data Science Nigeria’s Artificial Intelligence (AI) Bootcamp in Lagos to train the next generation of AI experts on geospatial analytics.