New approaches for Human/AI collaboration for the workforce of the future (RIA) (Made in Europe and AI, Data and Robotics partnerships)
Overview
The call opens on September 22, 2026, with a two-stage submission process. The first stage has a deadline of February 2, 2027, while the second stage must be submitted by September 2, 2027. The total budget allocated for this initiative is €30 million, with an estimated five grants available, each ranging from €4 million to €6 million. The funding is provided in the form of a lump sum grant, which allows for flexibility in budget management and reduces the administrative burden associated with traditional funding.
Eligible applicants include a broad spectrum of entities such as universities, research institutes, small and medium-sized enterprises (SMEs), large enterprises, and public-private partnerships established in EU Member States or Associated Countries. Collaborative consortia are encouraged, reflecting a multidisciplinary approach to tackling the challenges posed by the integration of AI in manufacturing.
The project scope underscores innovative AI methodologies aiming for enhanced human-machine interactions, focusing on three domains: human-AI co-learning for knowledge sharing, teamwork facilitated by natural interaction models, and adaptive interfaces to support diverse human abilities. The importance of integrating gender perspectives and addressing ethical concerns is emphasized, ensuring that technology development is inclusive and aligned with human values.
Proposals must include a thorough business case and exploitation strategy, illustrating the practical application of research results. Evaluation will occur in two distinct stages, with the first stage requiring blind submission of abbreviated proposals without organizational identifiers to ensure impartial assessment.
In summary, this funding initiative seeks transformative advancements in the workforce of the future through innovative human-AI collaborations in manufacturing. It highlights the convergence of technology and human skills, aiming to strengthen industrial leadership and competitiveness in Europe.
Detail
The expected outcome of this funding opportunity is the transformation of industrial jobs through AI-based human-machine interactions, enhancing flexibility, inclusion, well-being, up-skilling, career evolution, and knowledge sharing. It also aims to increase the competitiveness and sustainability of advanced manufacturing industries by formalizing knowledge and adapting machines to workers and markets based on different cultures.
The scope of the opportunity focuses on innovative AI approaches to revolutionize human-machine collaboration in factories, fostering an environment where technology and human expertise synergistically enhance each other. AI is expected to enhance the value of companies by capturing and formalizing dispersed and non-explicit knowledge. This will enable companies to own the knowledge, reduce onboarding time for new employees, and support personnel upskilling to adapt to the evolving technological landscape. AI has the potential to simplify tasks by reducing complexity, offering intuitive interfaces, and providing real-time feedback, making the workforce more efficient and effective. It can also facilitate access to more complex tasks, including those involving various forms of planning. AI can adapt the interaction of automation with the worker, considering individual needs, abilities, and facilitating inclusion. Furthermore, AI can enable easier export of EU-produced automation by adapting machine interactions to different cultural needs of the workforce.
Proposals should produce dedicated innovative AI approaches for human-machine collaboration in advanced manufacturing, applied in at least two of the following fields:
Human-AI Co-Learning and knowledge capture to share competences, capture expert knowledge, provide interactive mentoring to up-skill the workforce, and support re-qualification and continuous training – leading to increased knowledge at factory level and avoiding loss of know-how.
Human-AI teamwork thanks to innovative natural interaction models (considering the e.g. related hardware interfaces and/or collaborative machine tools), enabling to control complexity in cognitive cooperating production systems, including planning activities at shop floor level.
Interfaces with automation which automatically adapt to the need of the humans including different abilities and different cultural needs.
Proposals should integrate a gender perspective and avoid any type of discrimination in the design and deployment of AI systems and human-machine interaction models, including addressing differences in user needs, such as needs of persons with disabilities, physical and cognitive ergonomics and training pathways. Proposals are also expected to identify and address other potential biases in AI systems to promote inclusive design that ensures safe and effective use by all workers. Human/AI collaboration requires utmost sensitivity to and consideration of human values and consideration of ethical principles as represented in Digital Humanism, therefore, appropriate consideration must also be given to the contribution of SSH (Social Sciences and Humanities).
This topic is linked to the Apply AI Strategy, therefore proposals should seek collaboration with relevant initiatives. Proposals are also invited to build on the results of past projects on Extended Reality Technologies (XR), such as HORIZON-CL4-2021-HUMAN-01-13, HORIZON-CL4-2021-HUMAN-01-14, HORIZON-CL4-2021-HUMAN-01-25, HORIZON-CL4-2021-HUMAN-01-06, HORIZON-CL4-2021-HUMAN-01-28.
Proposals should include a business case and exploitation strategy, as outlined in the introduction to Destination ‘Leadership in materials and production for Europe’. This topic implements the co-programmed European Partnerships Made in Europe and AI, Data and Robotics.
Regarding admissibility conditions, applicants submitting a proposal for a blind evaluation (see General Annex F) must not disclose their organisation names, acronyms, logos nor names of personnel in the proposal abstract and Part B of their first-stage application (see General Annex E). To include a business case and exploitation strategy, as outlined in the introduction to Destination 'Leadership in materials and production for Europe', the page limit in part B of the General Annexes is exceptionally extended by 3 pages (for second-stage proposals). Proposal page limits and layout are described in Part B of the Application Form available in the Submission System and Annex A and Annex E of the Horizon Europe Work Programme General Annexes.
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, as detailed in the Horizon Europe Programme Guide. Other eligible conditions are also described in Annex B of the Work Programme General Annexes.
Financial and operational capacity and exclusion criteria are described in Annex C of the Work Programme General Annexes.
The evaluation and award process involves a blind evaluation for first-stage proposals. Award criteria, scoring, and thresholds are described in Annex D of the Work Programme General Annexes. Submission and evaluation processes are detailed in Annex F of the Work Programme General Annexes and the Online Manual. The indicative timeline for evaluation and grant agreement is described in Annex F of the Work Programme General Annexes.
The legal and financial set-up of the grants allows the granting authority to object to a transfer of ownership or exclusive licensing of results up to 4 years after the action's end, as set out in Annex 5. Eligible costs will take the form of a lump sum, as defined in the Decision of 7 July 2021, authorizing the use of lump sum contributions under the Horizon Europe Programme and the Research and Training Programme of the European Atomic Energy Community (2021-2025). Further details are described in Annex G of the Work Programme General Annexes and the specific topic of the Work Programme.
Application and evaluation forms and the Model Grant Agreement (MGA) are available. Application form templates are available in the Submission System, including a standard application form (HE RIA, IA) and a standard application form (HE RIA IA Stage 1 BLIND). Evaluation form templates will be used with necessary adaptations, including a standard evaluation form (HE RIA, IA) and a standard evaluation form (HE RIA, IA and CSA Stage 1 BLIND). Guidance documents include the HE Programme Guide and the Lump Sum MGA. Call-specific instructions include a detailed budget table (HE LS), information on financial support to third parties (HE), information on clinical studies (HE), and guidance on lump sums.
Additional documents include: HE Main Work Programme 2026-2027 – 1. General Introduction, HE Main Work Programme 2026-2027 – 7. Digital, Industry and Space, HE Main Work Programme 2026-2027 – 14. Horizontal Activities, HE Main Work Programme 2026-2027 – 15. General Annexes, HE Programme Guide, HE Framework Programme 2021/695, HE Specific Programme Decision 2021/764, EU Financial Regulation 2024/2509, Decision authorising the use of lump sum contributions under the Horizon Europe Programme, Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment, EU Grants AGA — Annotated Model Grant Agreement, Funding & Tenders Portal Online Manual, Funding & Tenders Portal Terms and Conditions, and Funding & Tenders Portal Privacy Statement.
The budget overview includes two topics:
HORIZON-CL4-2027-02-DIGITAL-EMERGING-52-two-stage - HORIZON-RIA HORIZON Research and Innovation Actions with a budget of EUR 30,000,000. This is a two-stage process with opening date 2026-09-22, deadline 2027-02-02 and 2027-09-02. The contribution ranges from EUR 4,000,000 to EUR 6,000,000, and the indicative number of grants is 5.
HORIZON-CL4-2027-02-MAT-PROD-32-two-stage - HORIZON-RIA HORIZON Research and Innovation Actions with a budget of EUR 52,500,000. This is a two-stage process with opening date 2026-09-22, deadline 2027-02-02 and 2027-09-02. The contribution ranges from EUR 7,000,000 to EUR 9,000,000, and the indicative number of grants is 6.
There are currently 0 partner search announcements. LEARs, Account Administrators, and self-registrants can publish partner requests for open and forthcoming topics after logging into the portal.
The submission system is planned to open on the date stated in the topic header.
Applicants are advised to carefully read all provisions before preparing their application. The Online Manual serves as a guide for procedures from proposal submission to grant management. The Horizon Europe Programme Guide contains detailed guidance on the structure, budget, and political priorities of Horizon Europe. The Funding & Tenders Portal FAQ provides answers to frequently asked questions on proposal submission, evaluation, and grant management. The Research Enquiry Service can answer questions about European research and the EU Research Framework Programmes. National Contact Points (NCPs) offer guidance and practical assistance for participation in Horizon Europe. The Enterprise Europe Network (EEN) provides advice to businesses, especially SMEs, including guidance on EU research funding. The IT Helpdesk addresses technical questions related to the Funding & Tenders Portal. The European IPR Helpdesk assists with intellectual property issues. CEN-CENELEC Research Helpdesk and ETSI Research Helpdesk advise on standardisation in project proposals. The European Charter for Researchers and the Code of Conduct for their recruitment outline the roles, responsibilities, and entitlements of researchers. Partner Search tools help find partner organisations for proposals.
In summary, this Horizon Europe funding opportunity aims to foster innovative AI-driven solutions for human-machine collaboration in advanced manufacturing. It seeks to transform industrial jobs, enhance competitiveness, and promote inclusive and adaptable technologies. The call encourages projects that address knowledge sharing, teamwork, and adaptive interfaces, while also considering gender perspectives, ethical principles, and collaboration with relevant initiatives. The funding is provided as a lump sum, and the application process involves a two-stage submission with a blind evaluation for the first stage. The overall goal is to create a future workforce where AI and human expertise work together to improve productivity, well-being, and sustainability in the manufacturing sector.
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Breakdown
Funding Type: The funding type is a grant, specifically a HORIZON Research and Innovation Action (HORIZON-RIA) provided as a lump sum grant (HORIZON-AG-LS).
Consortium Requirement: While not explicitly stated, the nature of Research and Innovation Actions within Horizon Europe often implies or benefits from a consortium approach, as it encourages collaboration and knowledge sharing. Partner Search announcements are available, suggesting that consortia are welcome and potentially advantageous.
Beneficiary Scope (Geographic Eligibility): The geographic eligibility is described in Annex B of the Work Programme General Annexes. Generally, this includes EU member states, associated countries, and potentially certain non-EU/non-associated countries, as detailed in the Horizon Europe Programme Guide.
Target Sector: The program targets the following sectors: advanced manufacturing, artificial intelligence (AI), data, robotics, digital technologies, and human-machine collaboration. It also touches upon social sciences and humanities (SSH) to address ethical and societal aspects of AI deployment.
Mentioned Countries: The opportunity explicitly mentions the EU and non-EU/non-Associated Countries.
Project Stage: The expected maturity of the project is research and innovation actions (RIA). This suggests projects should be in the development, validation, or demonstration phase, aiming to create new knowledge or explore the feasibility of new technologies.
Funding Amount: The funding ranges from EUR 4,000,000 to EUR 6,000,000 for the DIGITAL-EMERGING topic and EUR 7,000,000 to EUR 9,000,000 for the MAT-PROD topic.
Application Type: The application type is an open call with a two-stage submission process.
Nature of Support: Beneficiaries will receive money in the form of a lump sum grant.
Application Stages: The application process consists of two stages. The first stage proposals will be evaluated blindly.
Success Rates: The success rates are not explicitly mentioned, but can be inferred from the indicative number of grants and the competitive nature of Horizon Europe calls. Success rates are typically in the range of 10 to 39%.
Co-funding Requirement: The need for co-funding is not explicitly stated. However, Horizon Europe projects often require beneficiaries to cover a portion of the total project costs, although this is not always a strict co-funding requirement. The specific details would be outlined in the grant agreement.
Summary:
This Horizon Europe funding opportunity, under the INDUSTRY-two-stage call (HORIZON-CL4-2027-02-two-stage), aims to revolutionize human-machine collaboration in factories through innovative AI approaches. The goal is to transform industrial jobs by enhancing flexibility, inclusion, well-being, up-skilling, and knowledge sharing, ultimately increasing the competitiveness and sustainability of advanced manufacturing industries. Projects should focus on developing AI solutions for human-AI co-learning, teamwork, and adaptive interfaces, while also addressing gender perspectives, biases in AI systems, and ethical considerations. The call encourages collaboration with relevant initiatives and building upon results from past projects in Extended Reality Technologies (XR). Proposals should include a business case and exploitation strategy. The funding is provided as a lump sum grant, and the application process involves a two-stage submission. The call is part of the co-programmed European Partnerships Made in Europe and AI, Data and Robotics.
Short Summary
Impact The funding aims to transform industrial jobs through AI-based human-machine interactions, enhancing flexibility, inclusion, well-being, up-skilling, and knowledge sharing, ultimately increasing the competitiveness and sustainability of advanced manufacturing industries. | Impact | The funding aims to transform industrial jobs through AI-based human-machine interactions, enhancing flexibility, inclusion, well-being, up-skilling, and knowledge sharing, ultimately increasing the competitiveness and sustainability of advanced manufacturing industries. |
Applicant Applicants should possess expertise in artificial intelligence, advanced manufacturing, digital technologies, and human-machine collaboration, with a focus on multidisciplinary collaboration and ethical considerations in AI deployment. | Applicant | Applicants should possess expertise in artificial intelligence, advanced manufacturing, digital technologies, and human-machine collaboration, with a focus on multidisciplinary collaboration and ethical considerations in AI deployment. |
Developments The funding will support innovative AI approaches to revolutionize human-machine collaboration in factories, focusing on human-AI co-learning, teamwork, and adaptive interfaces. | Developments | The funding will support innovative AI approaches to revolutionize human-machine collaboration in factories, focusing on human-AI co-learning, teamwork, and adaptive interfaces. |
Applicant Type This funding is designed for research organizations, universities, SMEs, large enterprises, and other legal entities capable of conducting research and innovation activities. | Applicant Type | This funding is designed for research organizations, universities, SMEs, large enterprises, and other legal entities capable of conducting research and innovation activities. |
Consortium A consortium of multiple applicants is required for this opportunity, emphasizing collaboration and knowledge sharing across different expertise domains. | Consortium | A consortium of multiple applicants is required for this opportunity, emphasizing collaboration and knowledge sharing across different expertise domains. |
Funding Amount The funding amount ranges from €4,000,000 to €6,000,000 per project, with a total budget of €30,000,000 allocated for the initiative. | Funding Amount | The funding amount ranges from €4,000,000 to €6,000,000 per project, with a total budget of €30,000,000 allocated for the initiative. |
Countries The funding is relevant for EU Member States and Associated Countries, with potential participation from certain non-EU countries under specific conditions. | Countries | The funding is relevant for EU Member States and Associated Countries, with potential participation from certain non-EU countries under specific conditions. |
Industry This funding targets the Digital, Industry and Space sector within the Horizon Europe framework, focusing on advanced manufacturing and AI. | Industry | This funding targets the Digital, Industry and Space sector within the Horizon Europe framework, focusing on advanced manufacturing and AI. |
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