Designing a Pan-African Research Infrastructure for Digital Sciences: DIGITAfrica Vision, Blueprint Methodology, and Roadmap
Year: 2026
Type: article
Abstract: Digital research infrastructures underpin data-intensive science, reproducible experimentation, and collaborative innovation. In Africa, their development remains hindered by fragmentation, limited computing and connectivity resources, shortages of technical expertise, and sustainability constraints. This paper presents the vision, methodology, and deployment roadmap of DIGITAfrica, a Horizon Europe initiative preparing a pan-African Research Infrastructure in digital sciences. Building on a multi-country demand analysis and lessons from the ESFRI research infrastructures SLICES and SoBigData, we introduce a blueprint-based methodology for specifying interoperable, incrementally deployable, and sustainable digital infrastructures. We describe two representative blueprints—edge-interoperable AI/ML and heterogeneous networking—and the shared service architecture that operationalise them. Finally, we outline the stakeholder engagement process intended to support adoption, capacity building, and long-term governance. Overall, DIGITAfrica proposes a federated framework to strengthen digital science capabilities in Africa through shared infrastructure, reusable experimental environments, and coordinated community development.
Source: EPJ Research Infrastructures
Institutions: Institute of Informatics and Telematics, Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Centre National de la Recherche Scientifique, Sorbonne Université, LIP6, Institut national de recherche en sciences et technologies du numérique, Centre Inria d'Université Côte d'Azur, University of Thessaly, Centre for Research and Technology Hellas, Barcelona Supercomputing Center, University of Cape Town, University of Ngaoundéré, National School of Computer Science, Manouba University, Strathmore University, Cheikh Anta Diop University, Technische Universität Berlin, Mandat International, University of Amsterdam
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Award: G1462244445
OpenAlex ID: W7208743978
