Alternatives to Consultancy Services for Supervision of Civil Works to Improve Road Safety at Schools and locations along the Nacala Corridor with iRAP Less Than Three Stars

Implement training programmes on the principles of digital transformation, cybersecurity, artificial intelligence and cloud computing

Expected Outcome: Project should contribute to all of the following expected outcomes: Research funders, policymakers and research communities in the social sciences and humanities (SSH) are provided with a multi-annual R&I programme on social transformations and resilience, responding to megatrends like climate change and biodiversity loss, digitalisation, demographic changes and unexpected shocks. Research investments on social protection and essential services, future of work, education and skills, and a fair transition to climate neutrality are increased. Stakeholders, including social partners and civil society, and policymakers are provided with evidence-based knowledge, tools and innovative solutions, which contribute to new policies and strategies for strengthening resilience, fairness, inclusiveness and social cohesion at European, national and regional level. Scope: Europe is undergoing critical social transformations driven by macro drivers of change, such as climate change, biodiversity loss, digitalisation and demographic change, which have been accelerated by events, such as the COVID-19 pandemic and Russia’s war of aggression against Ukraine. These transformations…

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: 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 the following expected outcomes: Availability and integration of advanced, trustworthy, energy-efficient perception systems, exploiting technological advancements of Generative AI (GenAI) to enhance situational awareness and support safe decision-making; Enhanced Vulnerable Road User (VRU) safety, based on elevated, more temper-proof perception and understanding of their behaviour and intention predictions; Enhanced robustness of CCAM systems - both on-board and on the infrastructure side - in critical situations due to their training, virtual testing and validation in scenarios generated by GenAI, complementing existing scenario databases for the testing and validation of CCAM systems; Enhanced understanding of the relevance and limitations of using GenAI for CCAM; Tools and harmonised approaches for the use of GenAI in mobility technology development, training and validation, as well as for systemic applications such as traffic management and remote control, integrating them into existing approaches. Scope: Pilots and demonstrations using Level 3 and 4 vehicle services face major challenges in perception and…

Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Development of systems that utilize real-time data analytics to dynamically respond to disruptions, allowing transport and infrastructure operators to adjust operations swiftly and efficiently; Development of predictive maintenance strategies applying innovative Generative AI solutions and utilizing other digital technologies to anticipate and prevent infrastructure and equipment failures; Development of guidelines and tools to support passenger transport operators and authorities to ensure minimal disruption in unexpected and critical situations and organise real life emergency simulations; Deployment of training programme for transport and infrastructure operators on how to handle transport disruption, including tools and catalogue with contingency planning for specific transport disruptions; Reduction of average passenger delay at corridor level (at least 20%) during planned disruptions, compared to the baseline and of (at least 40%) time needed from the generation to the dissemination of a response plan to different stakeholders (e.g. transport operators, passengers, citizens)…

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: Provide policymakers, education and training institutions, and social partners with a solid understanding of which competences young people and workers need to support the EU economy towards the green transition to reach carbon neutrality and protect natural ecosystems. Develop actionable advice to policymakers and education and training institutions about which education and training programmes and policy measures can promote the acquisition of those competences by young people and workers in a lifelong perspective, including the gender and disability dimensions. Provide policymakers with guidance on how to address the interconnection between fostering the competences for the green transition and those for the digital transition. Scope: Environmental challenges have been one of the key drivers of labour demand and skills supply across all sectors for the past years. More data and analysis from research on competences that young people and workers need for the green transition are warranted to properly implement the Union of Skills and support people in upskilling and reskilling. The…

Expected Outcome: Projects are expected to contribute to all the following expected outcomes: Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. Advanced and - wherever possible - open-source AI foundation models to support the digitalisation of the energy system, through improved grid observability, forecasting of supply and demand, advanced storage and renewables integration, demand side flexibility and energy efficiency. Enhanced cooperation, knowledge sharing and interoperability among energy system actors for secure and seamless data exchange. Advanced methodologies for AI model development ensuring that the results are FAIR (Findable, Accessible, Interoperable, Reusable) beyond the project ending, open source and accommodating for technology evolution. Scope: The quality of AI models depends strongly on the amount, quality, and representativeness of the data used for their training. Projects are expected to focus on developing, training and testing AI foundation models, using extensive data sets to accelerate the energy transition in key focus…

Expected Outcome: Proposals should contribute to the first two expected outcomes, and either the one listed under Focus 1, or the one listed under Focus 2. The potential of art-science and/or technology collaborations to address societal challenges and drive innovation is better understood. Guidance, toolkits, and actionable methodologies are developed to promote these collaborations, providing policymakers, professionals, and training organisations with clarity on intervention scope, applicability across various fields, and evaluation methods, metrics, or tools. New and existing national, European or international networks for art-science-technology collaborations are established or strengthened, expanding opportunities for artists to engage with science and technology. Focus 1 Approaches, methodologies and model interventions for integrating arts and creative practices to enhance soft skills across public and private sectors are developed, tested and disseminated. Focus 2 The effectiveness of critical artists’ engagement in interdisciplinary teams is demonstrated alongside the assessment of the viability of research-intensive emerging technologies through at least three low…

Expected Outcome: Projects should contribute to all of the following expected outcomes: Increased evidence collection and intelligence gathering, effective cross-border and cross-domain cooperation and uptake by the Law Enforcement Authorities (LEA) and experts of the consolidated tools and platforms within their operational systems and methodologies in accordance with the different user’s requirements. Capacity building and consolidated training ecosystem, developed with concrete, validated, actionable, interactive training materials tailored to the specific needs of different user groups across EU Member States and beyond. European Union law enforcement, judiciary and other competent authorities and practitioners gain a better understanding and enhanced capabilities in addressing crimes related to cultural heritage thanks to the consolidations of existing solutions, standardized and tailored trainings and workshops and practical learning materials. Actionable solutions to the threat to cultural heritage trafficking by illicit excavations crime that do not necessarily amount to organised crime but are still illegal activities that considerably endanger Europe’s cultural heritage,…

Expected Outcome: Projects should contribute to all of the following expected outcomes: EU institutions and national decision-makers, have a better understanding of how to foster democratic resilience through media and digital literacy, equipping societies to adapt and thrive in the face of evolving technological, political, and societal challenges. Citizens are empowered to navigate the digital landscape with discernment and critical thinking, actively engaging with media and other source of information, ensuring informed democratic participation. Scope: As recalled by the “Safer together” report [1] , “over the past years, the Commission has already taken steps to counter hybrid threats (including foreign information manipulation and interference/FIMI) and enhance democratic resilience across the EU. It adopted, among other initiatives, the European Democracy Action Plan [2] to build more resilient democracies across the EU by promoting free and fair elections, strengthening media freedom, countering disinformation and FIMI and promoting information integrity. With the adoption of the Digital Services Act [3] (DSA) and its binding obligations for online platforms to combat the…