Alternatives to Spain – Pre-school education services – Contrato de servicio educativo de la Escuela Infantil “Dulcinea” integrada en la Red Pública de Educación Infantil de la Comunidad de Madrid, y situada en la C/ Moraña, 27. C.P. 28915 - Leganés

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: 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: 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: Projects should contribute to all of the following expected outcomes: EU institutions, Member States and decision-makers worldwide, relevant international organisations, civil society organisations and other societal actors have a better shared understanding of the systemic challenges and the underlying drivers and motivations that undermine managing global commons sustainably. EU institutions, Member States and decision-makers worldwide, relevant international organisations, as well as academies of science, higher education institutions and research-performing organisations are better equipped with the tools needed to improve the science-policy interface in the area of foreign and security policies in general, and multilateral / national science advisory bodies in the field of foreign policy in particular with a recognition of the need to engage citizens in a more participatory and inclusive approach to research and policy-making. Rules-based multilateralism is strengthened by the development of concepts, methods, processes, and information relevant for decision-making that foster the sustainable governance of global commons within the evolving geopolitical…

Expected Outcome: Projects should contribute to all of the following expected outcomes: EU national and local policymakers develop and implement effective strategies for sustainable peace and democratic reconstruction in post-conflict areas, promoting stability, inclusivity, equity, security, human rights, and strengthening integrity and anticorruption measures to ensure transparent, accountable, and ethical use of reconstruction aid. EU and national policymakers inform their decision-making with evidence-based recommendations on international cooperation, EU democracy support, and civil society engagement in post-conflict reconstruction, leading to more effective, inclusive and sustainable reconstruction efforts. Local civil society organisations and community groups, with a focus on persons and groups in a vulnerable situation in post-conflict countries, provide guidance and support to educators, media professionals, public administrators, and other stakeholders on promoting reconciliation, accountability, and sustainable peace. Specialised service providers, including NGOs and community organisations, offer support services and programmes to veterans and the persons and groups…

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: 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 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: 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 should contribute to all of the following expected outcomes: EU institutions and national decision-makers are equipped with science-based tools, toolkits, training models, monitoring frameworks, and recommendations to proactively promote inequality reduction, human rights and democracy, in order to lead to more resilient and inclusive democratic societies in low-income and low-middle income countries [1] EU institutions and national decision-makers are better able to proactively promote democratic values, principles and practices in low- and low-middle income countries grounded in a better understanding of the actors at local level including their capacity and needs when engaging in democratic practices. EU institutions, national decision-makers, and civil society organisations can access and use (evidence-based) good practices for working in fragile contexts [2] EU institutions and national decision-makers understand the role of decentralization processes in low-income and low-middle income countries, and its impact on the quality of public services and on acceptance of democratic processes among citizens. In addition, projects should contribute to at…

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…