EdTech Accelerator

Expected Outcome: Practical chip design experience integrated into education at multiple levels; at least 1,000 students across Europe completing funded tape-outs over 4 years; stronger reskilling pathways for students from adjacent fields; and a sustainable, continent-wide pipeline of chip design talent to support Europe's semiconductor ambitions. Scope: This call funds a comprehensive Chip Design Skills Programme to lower barriers to entry in chip design and tape-outs. At least 60% of the budget must support hands-on tape-out experiences (via multi-project wafers) for university and secondary school students.

Expected Outcome: Europe's first long-term VET provider network for semiconductors; a larger and more diverse pool of qualified technicians; and increased intra- and extra-EU mobility of students and workers to fill skills gaps in semiconductor facilities. Scope: This call supports the establishment of a European-level federation of Vocational Education and Training (VET) providers focused on semiconductor industry roles. Projects should develop industry-aligned micro-credentials and reskilling programmes, with a strong emphasis on workers transitioning from other industrial sectors and on cross-border recognition of qualifications.

Expected Outcome: project results are expected to contribute to all of the following outcomes: complementing national programmes whose purpose is to ensure a sufficient and competent nuclear workforce. The action will generate EU added value by supporting coordination, sharing best practices and creating a single point for nuclear education and training at the EU level; enhancing nuclear careers by promoting Euratom competences in the fields of nuclear safety, security, safeguards, radioactive waste management and radiation protection; making them available through a higher number of attractive education programmes; and expanding mobility opportunities and job perspectives (including giving access to world-class infrastructure); advancing nuclear education and training through strategic actions for the safe implementation of AI; making nuclear education more attractive and disseminating information to communities of various profiles and ages, including for experienced professionals from adjacent industries (e.g. manufacturing industries) interested in continuing developing their career in the nuclear field. Scope: the purpose is to support the programme’s objective of maintaining…

Expected Outcome: Projects should contribute to all the following expected outcomes: Enhanced understanding, accompanied by documented good practices, showing what works to encourage multilingualism in society and what type of practices have led to safeguarding linguistic heritage, including lesser used, endangered and historically marginalised languages. Rigorous policy-relevant evidence, strategies and policy recommendations for promoting multilingualism and safeguarding linguistic diversity are available to policy makers, and users are involved in their development, especially the younger generation. Non-linguistic benefits of language maintenance and revitalisation are well documented, communicated and understood by different stakeholders. Citizens are empowered and engaged in the sustainable management of their own linguistic heritage and resources, with a focus on intergenerational dialogue and education activities, with particular attention to communities where oral transmission is the primary mode of language preservation. Maps and visual presentations showing the linguistic diversity in Europe are available, including a variety of existing languages (regional and minority…

Expected Outcome: Projects should contribute to all of the following expected outcomes: Policymakers gain insights into the cost of child poverty and the returns from securing access of disadvantaged children to quality Early Childhood Education and Care (ECEC) in the EU. Policymakers receive operational advice on ways to reduce this cost and support participation of disadvantaged children in quality ECEC to close the gap with other children in the EU. Scope: Past studies researched the cost of child poverty, and the returns yielded by and ways to secure disadvantaged children’s participation to ECEC, yet their relevance to the current EU context is limited (i.e. most of them were conducted outside of the EU or they are now outdated). Producing EU-specific insights on these issues is the aim of this topic, which should help close the ECEC participation gap and improve social outcomes, in line with the European Pillar of Social Rights, while fostering fiscal sustainability and inclusive growth. The proposals may: Define disadvantaged children, by going beyond monetary aspects of disadvantages, building on the EU’s concept of risk of poverty or social exclusion, and taking into…

Expected Outcome: Projects should contribute to all of the following expected outcomes: An in-depth analysis of the socio-economic dimensions and impacts of generative AI on the cultural and creative sectors and related societal implications. Particular attention should be paid to rights and remuneration of creators, diversity of cultural expression, audience perception, consumption patterns, market dynamics, value chains, royalty allocation and the effectiveness of copyright infrastructure. Scenarios, value chains, standards and robust, agile solutions to ensure transparency and trust in the generative AI supply chain are developed, aiming for a fair and transparent market for cultural and creative content. This includes: systems for content provenance detection of AI-generated and manipulated creative content; tools and infrastructure that reinforce rights management, creators’ consent, control, and fair compensation for the use of their works in AI training and generation; measures supporting the findability and discoverability of trustworthy cultural and creative content; mechanisms for the long-term preservation and stewardship of AI-generated creative works. Adaptive policy…

Expected Outcome: Expected outcomes: A sustained pipeline of highly qualified semiconductor graduates, with shorter time-to-readiness for industry roles; greater inflow of diverse talent including women and underrepresented groups; improved intra- and extra-EU student mobility; and strong complementarity with existing Chips Act infrastructure such as pilot lines, design platforms, and Competence Centres. Scope: This call funds the creation of specialised academic "Hubs of Excellence" in critical semiconductor technology areas (e.g. chip design, manufacturing, photonics, power electronics). Projects should build industry-aligned Bachelor, Master, and PhD programmes.

Expected Outcome: The expected outcomes of this topic are : A common EU evaluation platform for AI chips and racks, with transparent KPIs, workloads and benchmark reports used for Chips JU selection and procurement decisions. First pilot deployments of European AI compute systems validated for EU sovereign partitions of AI infrastructure. Structured collaboration between buyers and suppliers, supporting deployment, integration and optimisation of European AI compute solutions. Stronger EU demand for European AI chips and racks, helping to create a market for deployment-ready solutions. Increased EU technological sovereignty across the AI compute stack for European datacentres.

Expected Outcome: Projects are expected to contribute to the following expected outcomes: Advanced heterogeneous integration, particularly in 2.5D and 3D packaging and integrated photonics, to support AI functionalities. Standardised chiplet interfaces, enabling interoperability and fostering a dynamic chiplet ecosystem Expected outcomes should have direct and immediate impact on European industry. Furthermore, proposed projects should demonstrate solutions across laboratory and pilot environments, with verification in semiconductor manufacturing use cases. The centre of gravity of envisaged work should address Technology Readiness Levels 5-7. Proposals also need to facilitate knowledge transfer and promote stakeholder engagement through industry workshops, publications, and networking events.

Expected Outcome: The expected outcomes of this topic are : Functional demonstrators of working AI chip prototypes (PCB-level) designed by EU fabless companies and physically integrated with their system partners. Validation of AI chip solutions on a common EU evaluation platform (provided by the Topic X.B consortium), delivering comparative evidence on key performance indicators. A shortlist of European AI chip solutions awarded the AI Compute Excellence label and qualified to proceed to full rack development under Topic X.A2.