Objective
GAINAfrica proposes a new approach to locally-adapted Generative AI addressing societal needs in African regions. The project develops inclusive, low-resource GenAI models for agriculture, healthcare, education, and infrastructure and urban planning by adopting multilingual, mobile-friendly, and culturally contextual AI technologies. GAINAfrica investigates 4 use cases and deploys several pilots (10+) in different living labs (5+) to foster local innovation ecosystems and empower start-ups. The approach of the project is based on co-creation and participatory research, capable of including local stakeholders (industry and SMEs, local governments, research institutions, and civil society), and also women, vulnerable and underrepresented communities, to ensure a strong societal alignment. The project aims to deliver an ethical, legal and societal aligned toolkit for responsible GenAI deployment, also guaranteeing a transferability framework to adapt EU GenAI solutions to African society, also in terms of infrastructures and languages. This is achieved through a consortium, coordinated by Sapienza Università di Roma, including top EU universities and companies and SMEs, African R&D hubs, universities, and civic actors across 5 different African countries (Morocco, Tunisia, Egypt, Benin and Uganda), covering both Saharan and sub-Saharan societal contexts and needs. A distinctive feature of GAINAfrica is its deliberate promotion of interdisciplinarity, not only between STEM and SSH disciplines (linking AI engineering, medicine, agronomy, and sociology, urban studies with ethics, law, economics, and pedagogy), but also within each area.
The expected impact is a 40% increase in access to digital services based on AI in target regions, a 25% performance improvement of AI models in low-connectivity and edge environments, several scientific outputs and 10+ local capacity-building workshops.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- agricultural sciences agriculture, forestry, and fisheries agriculture agronomy
- natural sciences computer and information sciences artificial intelligence generative artificial intelligence
- social sciences political sciences political policies civil society
- social sciences social geography urban studies
- social sciences law
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
See all projects funded under this programme -
HORIZON.2.4.3 - Emerging enabling technologies
See all projects funded under this programme -
HORIZON.2.4.5 - Artificial Intelligence and Robotics
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2025-04
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
00185 Roma
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.