Supply, Installation, Configuration, Training, and Commissioning of ICT Infrastructure, Call Center Technology Systems, and Telecom Services for the Uganda Refugee Support Call …

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: 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 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…

Procurement of Project Implementation Vehicles (5 Pick-up Trucks, 1 Van, and 1 Motorcycle) for UDAP–GovNet Key Implementing Institutions