Closed

GenAI for Africa

HORIZON Research and Innovation Actions

Basic Information

Identifier
HORIZON-CL4-2025-04-HUMAN-08
Programme
DIGITAL - HADEA
Programme Period
2021 - 2027
Status
Closed (31094503)
Opening Date
June 10, 2025
Deadline
October 2, 2025
Deadline Model
single-stage
Budget
€30,000,000
Min Grant Amount
€6,000,000
Max Grant Amount
€8,000,000
Expected Number of Grants
4
Keywords
HORIZON-CL4-2025-04-HUMAN-08HORIZON-CL4-2025-04Agricultural engineeringAgricultural engineering, food safetyAutomation and control systems

Description

Expected Outcome:

Project results are expected to contribute to the following expected outcomes:

  • African societies benefit from innovative solutions on GenAI applied to key areas:
  • Local technological companies in some locations in Africa benefit from the technological capacity to develop targeted solutions to unlock the full potential of GenAI Digital in key areas with the primary focus on rural communities in Africa and women, being an underrepresented group but with a key role in the foundation of these societies.
Scope:

Generative AI (GenAI) holds the potential of creating in Africa a rich ecosystem of transformative solutions and practical applications addressing the specific societal challenges and opportunities most of the countries are facing.

The proposals should address one or more of the following:

  • Agriculture optimisation: GenAI can analyse satellite imagery and sensor data to monitor state of crops, soil conditions, and weather patterns, enabling farmers to boost crop yields and enhance food security through sophisticated predictive analytics and efficient resource management like water and pesticides. This is crucial to mitigate climate change and poor irrigation infrastructures in some areas of Africa.
  • Healthcare: GenAI can diagnose diseases from medical images and patient data, enhancing healthcare in remote areas; forecast disease outbreaks and aid in preventive planning, and with the help of chatbots and virtual assistants can offer medical advice and connect patients with doctors, expanding telemedicine services, making healthcare more accessible to remote populations. Particular attention should be paid to the gender dimension in addressing AI biases, sex-specific healthcare needs, and intersecting gender and racial inequalities in health and access to health services.
  • Infrastructure and urban planning: GenAI optimises energy usage, integrates renewables, and ensures efficient distribution, while managing water (including groundwater but also rainfall use) and waste (e.g. plastic reduction and reuse) effectively for sustainability, and enhancing safety with real-time incident detection. It also provides support for reconstruction following natural or human-made disasters. This is vital for some African communities with scarce natural resources like water and facing high temperatures by using Digital Twins on urban and rural areas. All these technological solutions depend strongly on the existence and quality of connectivity infrastructure, as a key enabler for unlocking the Digital and Green Transition.
  • Digital Skills and learning: Generative AI can personalize learning paths, create multilingual educational content, and offer on-demand virtual tutoring, benefiting rural communities with low resources and fully relying on mobile phones to access online services. Additionally, adaptive learning platforms can use data analytics to tailor teaching, while engineers craft queries to help AI models understand local languages and nuances to set up conversational chatbots for local communities.

The proposals should approach these objectives by:

  • Conducting an evidence-based analysis to identify particular needs in Africa that GenAI technologies could solve, for one or several of the topics mentioned above.
  • Identifying solutions on GenAI developed in the EU that could be applied in Africa for one or several of the topics mentioned above.
  • Based on existing EU-based solutions and particular needs, developing and integrating generative Artificial Intelligence models and algorithms specifically adapted for one or several of the abovementioned key areas.
  • Involving and supporting start-ups and local networks in 3 to 5 locations in Africa to create innovative solutions to uniquely African challenges in those areas based on GenAI. Co-creation and living lab methodologies should be explored to boost social uptake of proposed solutions. Living labs are ecosystems of experimentation and open innovation, with a systematic approach to co-creation among their users, whether they are researchers, businesses, civil society or public administrations. These open innovation spaces will enable researchers and local actors from the public and private sectors work together using digital technologies to co-create knowledge and solutions that respond to their societal needs, while improving territorial cohesion.
  • The approved projects should take into account the AI Act and GDPR as the main legal frameworks to ensure data protection of the data used within third countries.

Where relevant proposals are encouraged to build on, or seek collaboration with, existing projects and develop synergies with other relevant European initiatives. In particular links are encouraged with the projects funded under international cooperation on AI for public good, in the areas of health, digital twin for reconstruction, emergency response and electric grid optimisation, Destination Earth, Copernicus.

Destination & Scope

New ways of working, assisted by technologies for physical or cognitive augmentation (exo-skeletons, digital twins, collaborative AI, virtual and extended reality) will increase efficiency, safety and quality of work, provided they are trustworthy, safe and reliable, as well as human-centric and free from gender, racial and other social biases by design. Within the dynamic context of flexible organisation and process flows, workers will have to be empowered to co-create their new forms of working and collaboration within and across organisations, through participation, social innovation or living labs, where social economy actors and local grassroots initiatives are of particular importance. New job profiles and skills will emerge, often requiring digital competence, in addition to social and green skills (e.g. awareness of impact, circularity options). Continuous learning, through formal training, on-the-job learning or being immersed in virtual worlds, combined with appropriate certification and reward mechanisms can boost the attractiveness of careers in many sectors, including manufacturing. A new dynamic, in the spirit of Industry 5.0, will be brought to the workplace through better human interaction with production technologies, open innovation, supporting young professionals’ innovations in e.g. manufacturing, as well as participation of new actors, such as fablabs. Digital environments and virtual worlds will enable new forms of collaboration in generating new product and process ideas, assisted by digital twins and AI, in an inclusive, trustworthy and ethical fashion.

Just like today’s internet, the future internet will drive industrial, social and cultural innovation. Destination 6 will develop technologies for an inclusive, gender-equal, trustworthy and humancentric internet. This will build on a more resilient, sustainable, and decentralised architecture, empower end-users with more control over their data and their digital identity, and enable new social and business models that respect European values. The destination will also spearhead the use of virtual worlds and digital twins where they can make a real difference. Industrial virtual worlds could increase productivity, improve working conditions and access to work, and address and anticipate skills gaps for highly complex products/services or for safety-critical operations. Smart communities and ‘citiverses’ can empower public authorities and people to fulfil their aspirations. To reach the ambitious goal of achieving trustworthy AI, ‘compliant by design’ with the AI Act – challenges such as accuracy, robustness, transparency and efficiency have to be addressed, along eliminating biases in data entry to assure fairness in light of individual differences, e.g. in gender or age, and intersectional diversity. Increasing the cognitive level of AI systems (like from combining data-driven and symbolic learning) is crucial for their wider uptake and acceptance. Smart ‘technology-for-trust’ (e.g. blockchain for identity and transaction tracking, AI to counter biases, deep-fake recognition, fact checking) will also have a role. The Cluster will focus particularly on generative AI (addressing algorithms, data and computational resources), foundational models and language technologies to gain strategic autonomy in this area. This is expected to trigger a whole range of new applications in entertainment, education and commerce, starting with assisted and virtual content production, and on demand synthetic media. Beyond these, the possibilities in industrial settings (e.g. robotics, training, process planning, quality assurance), in public services and public administrations are largely untapped. Involvement of social sciences and humanities will help bring benefits and respect for European values. Specific measures are needed to allow start-ups and smaller companies to use and benefit from AI, data (including by enabling access to the high-performance computing power needed), photonics and robotics, and to play an active part in developing the next generation of smart technologies within a diverse and open European innovation ecosystem. Similarly, the responsible use of AI in science, research and engineering is going to be key for keeping up the scientific and technological global competitiveness of the EU. These elements will also contribute to the EU’s Apply AI Strategy, a comprehensive approach aimed at establishing Europe as a global leader in the development and adoption of AI, by fostering a vibrant AI ecosystem and making Europe a hub for AI innovation and growth, where world-class AI models are developed and integrated into strategic sectors. This initiative is designed to drive innovation, economic growth, and competitiveness, while ensuring that the benefits of AI are shared by all. The topics related to Generative AI included in this destination will support the implementation of the GenAI4EU initiative included in the AI Innovation Package of 24 January 2024, and constitute an integral part of the broader Apply AI strategy, aiming to create a cohesive and coordinated approach to AI development and adoption, one that promotes European excellence and leadership in this critical field. A well-functioning European ecosystem of digital commons, based on open technologies and driven by European values, and a thriving culture of collaboration and social innovation are essential for ensuring sovereignty, trust and user empowerment. New software engineering techniques are needed that are applicable from core to edge and across the entire software stack to build the open distributed systems that the cluster envisages. AI-driven as well as low-code methodologies will help address shortages of digital skills, increase productivity and allow for point-of-use configuration and personalisation.

This destination is structured around the following headings:

Virtual Worlds

The objective of this heading is to gain industrial leadership in Virtual Worlds technology at large (eg. eXtended Reality technologies and immersive environments), while ensuring the European values of privacy, ethics and inclusiveness. It also aims at advancing immersive virtual experiences, supporting a user-centered Web 4.0, and building a sustainable digital ecosystem within Europe. The efforts will notably focus on advancing immersive experiences, enhancing virtual world technologies, and support the launch of the new European Partnership on Virtual Worlds that will drive innovation, access resources, and foster industry collaboration across the virtual worlds' value chain.

AI-GenAI / Data / Robotics

The GenAI4EU HUB aims to build a vibrant European GenAI ecosystem by fostering collaboration, visibility, and innovation across strategic sectors. This initiative supports the European Commission's AI Office in creating a trustworthy AI ecosystem that maximizes societal and economic benefits. It will coordinate efforts among stakeholders—ranging from local GenAI communities and startups to large industries—enhancing the EU’s GenAI impact and visibility. Additionally, it will monitor the EU GenAI landscape, assess market needs, and disseminate findings to foster a cohesive and innovative GenAI environment. The HUB also aligns with European partnerships like ADRA, ensuring integration with existing initiatives and contributing to the EU’s leadership in AI and GenAI advancements.

Standardisation and Knowledge Valorisation

Linked to the importance of deploying the results of research and innovation in the Union, in order to achieve economic, environmental and social outcomes, a number of topics in this Work Programme will support essential efforts in knowledge valorisation and standardisation; and in improving access to technology infrastructures.

International Cooperation

The proposed international coordination and support actions are aligned with the Commission’s international priorities. They will help build strong international digital partnerships and promote a human-centred digital agenda. International cooperation will further a level playing field and reciprocity while delivering new solutions to digital challenges. Through evidence-based advice and joint actions with leading semiconductor nations like Japan, South Korea, Taiwan, Singapore, the USA, Canada, and India, the aim is to bolster Europe's role in the global semiconductor value chain. This includes guiding the European Commission on research collaborations and policy measures while providing factual insights into emerging technologies and global supply chains. In parallel, proposed actions will focus on strengthening international cooperation in the semiconductor sector and advancing Generative AI (GenAI) initiatives in Africa. The aim would be to empower African societies, particularly rural communities and women, by equipping local technology companies with the tools to leverage GenAI for innovative solutions in key areas, thereby unlocking its potential for social and economic development in Africa.

Eligibility & Conditions

General conditions

1. Admissibility Conditions: Proposal page limit and layout

are described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.

Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.

2. Eligible Countries

are described in Annex B of the Work Programme General Annexes.

A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide.

3. Other Eligible Conditions

are described in Annex B of the Work Programme General Annexes.

4. Financial and operational capacity and exclusion

are described in Annex C of the Work Programme General Annexes.

5a. Evaluation and award: Award criteria, scoring and thresholds

are described in Annex D of the Work Programme General Annexes.

5b. Evaluation and award: Submission and evaluation processes

are described in Annex F of the Work Programme General Annexes and the Online Manual.

5c. Evaluation and award: Indicative timeline for evaluation and grant agreement

is described in Annex F of the Work Programme General Annexes.

6. Legal and financial set-up of the grants

are described in Annex G of the Work Programme General Annexes.

are described in the specific topic of the Work Programme.

Support & Resources

Online Manual is your guide on the procedures from proposal submission to managing your grant.

Horizon Europe Programme Guide contains the detailed guidance to the structure, budget and political priorities of Horizon Europe.

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IT Helpdesk – contact the Funding & Tenders Portal IT helpdesk for questions such as forgotten passwords, access rights and roles, technical aspects of submission of proposals, etc.

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CEN-CENELEC Research Helpdesk and ETSI Research Helpdesk – the European Standards Organisations advise you how to tackle standardisation in your project proposal.

The European Charter for Researchers and the Code of Conduct for their recruitment – consult the general principles and requirements specifying the roles, responsibilities and entitlements of researchers, employers and funders of researchers.

Partner Search help you find a partner organisation for your proposal.

Latest Updates

Last Changed: October 3, 2025

PROPOSAL NUMBERS

Call HORIZON-CL4-2025-04 has closed on 02 October 2025

A total of 503 proposals were submitted in response to this call.



The number of proposals for each topic is shown below:

HORIZON-CL4-2025-04-DATA-02: Empowering AI/generative AI along the Cognitive Computing continuum (RIA) (AI/Data/Robotics Partnership)

74 proposals submitted (indicative topic budget 30 EUR million)

HORIZON-CL4-2025-04-DATA-03: Software Engineering for AI and generative AI (RIA) (AI/Data/Robotics Partnership)

56 proposals submitted (indicative topic budget 15 EUR million)

HORIZON-CL4-2025-04-DIGITAL-EMERGING-01: Advanced sensor technologies and multimodal sensor integration for multiple application domains (IA) (Photonics Partnership)

89 proposals submitted (indicative topic budget 25 EUR million)

HORIZON-CL4-2025-04-DIGITAL-EMERGING-04: Assessment methodologies for General Purpose AI capabilities and risks (RIA) (AI/Data/Robotics Partnership)

28 proposals submitted (indicative topic budget 7 EUR million)

HORIZON-CL4-2025-04-DIGITAL-EMERGING-05: Soft Robotics for Advanced physical capabilities (IA) (AI/Data/Robotics Partnership)

19 proposals submitted (indicative topic budget 20 EUR million)

HORIZON-CL4-2025-04-DIGITAL-EMERGING-07: Enhanced Learning Strategies for General Purpose AI: Advancing GenAI4EU (RIA) (AI/Data/Robotics Partnership)

22 proposals submitted (indicative topic budget 30 EUR million)

HORIZON-CL4-2025-04-HUMAN-08: GenAI for Africa (RIA)

215 proposals submitted (indicative topic budget 5 EUR million)



The evaluation results are expected to be communicated in January 2026.

Last Changed: June 12, 2025

Please note that due to a technical issue, during the first days of publication of this call, the topic page did not display the description of the corresponding destination. This problem is now solved.

In addition to the information published in the topic page, you can always find a full description of the Destination 6 ("Digital and industrial technologies driving human-centric innovation") that is relevant for the call in the Work Programme 2025 part for "Digital, Industry and Space". Please select from the work programme the destination relevant to your topic and take into account the description and expected impacts of that destination for the preparation of your proposal.

Last Changed: June 10, 2025
The submission session is now available for: HORIZON-CL4-2025-04-DIGITAL-EMERGING-01, HORIZON-CL4-2025-04-DATA-02, HORIZON-CL4-2025-04-DIGITAL-EMERGING-05, HORIZON-CL4-2025-04-DIGITAL-EMERGING-07, HORIZON-CL4-2025-04-DATA-03, HORIZON-CL4-2025-04-DIGITAL-EMERGING-04, HORIZON-CL4-2025-04-HUMAN-08
GenAI for Africa | Grantalist