Mapping Scientific Computing to Power Research, Big Data, And AI In Africa: Evidence and Pathways for a Federated Ecosystem

Led by the Science for Africa Foundation, Nairobi, Kenya, this position paper examines Africa's scientific computing capacity and outlines pathways towards a federated ecosystem supporting research, big data, and artificial intelligence. Drawing on 118 institutional submissions from 28 African countries, of which 67 were retained for analysis, the study found an average computing readiness of 40.1% among participating institutions. It identifies gaps extending beyond hardware to software, connectivity, energy, technical expertise, and operational sustainability. The paper advocates for shared, interoperable infrastructure, workforce development, coordinated regional investment, and responsible data governance to strengthen Africa's research capacity and scientific sovereignty. Contribution note: Nubian Research, represented by the Executive Director, Mosadoluwa Fasasi, contributed to the Pan-African Scientific Computing Convening that informed the paper's recommendations. The paper was authored by Paul Korir, Leah Mwangi, Kobus Herbst, and Evelyn Gitau.
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Uploaded on Oct 19, 2026, 9:11:49 AM
Artificial IntelligenceComputingFederated ecosystemBig Data

Notes

For researchers across Nigeria and Africa, access to computational resources should not depend solely on their institution's ability to acquire and maintain expensive infrastructure. While longstanding challenges around procurement, electricity, funding, and technical capacity require sustained attention, researchers cannot afford to wait indefinitely for these problems to be resolved. One practical approach is to make existing resources more visible, accessible, and shareable across institutions through service catalogues, infrastructure-as-a-service models, and shared GPU pools. Institutions can also adopt appropriately scaled solutions, combining smaller local systems with access to regional computing facilities. These approaches can expand opportunities for research in health, agriculture, climate science, education, and artificial intelligence without requiring every institution to build and operate high-end infrastructure independently. For Nubian Research, the priority is to advance solutions that researchers can use today while contributing to the longer-term goal of sustainable, locally governed scientific infrastructure across Africa.

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