Alternatives to Call for proposals for action grants to support transnational projects on judicial training covering civil law, criminal law or fundamental rights

The selection of Digital Transformation Senior Coordinator

SELECTION OF CONSULTANT FIRMS FOR POST-CONTRACT SERVICES FOR THE CONSTRUCTION OF NEW SCHOOLS, UPGRADE AND REHABILITATION OF EXISTING SCHOOLS

Recruitment of Education and Research Specialist to support the Learning and Evidence Agenda for Regional Collaboration in Eastern and Southern Africa (LEARN-ESA) (P516274)

The Selection of Technical and Vocational Education and Training (TVET) Senior Coordinator

Rehabilitation of Shelters (Public Schools) Batch 5: Lot 1 (Jezzine and Chouf), Lot 2 (West Bekaa, Zahle and Rashaya) and Lot 3 (Saida and Hasbaya)

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 under this topic will contribute to the following outcomes: Accelerate market expansion for European deep tech startups across EU regions and beyond by fostering collaboration and mutual support among European deep tech startup ecosystem actors; Interconnect top-tier tech startup and scaleup hubs embedded in research, technology and higher education ecosystems; Enable cross-border access to infrastructures, facilities, corporates, investors and talents to deep tech startups and scaleups, including those funded by the European Innovation Council (EIC); Enable more European deep tech startups, including women-led startups and scaleups, to succeed scaling into globally competitive companies; Strengthen less-connected innovation hubs by integrating them into a Europe-wide collaborative network; Boost private and public investment in deep tech ventures established within the participating innovation hubs. Scope: This action builds upon the EU’s strategic vision outlined in the EU Competitiveness Compass [1] , the EIC scaling strategy [2] , and the EU Startup and Scaleup Strategy [3] . It aligns with the objectives of strengthening Europe’s deep tech…

Expected Outcome: Proposals are expected to contribute to all of the following expected outcomes: policy and decision makers at relevant levels are better equipped to incorporate educational, cultural, societal and behavioural insights related to biodiversity – such as business dependencies, vulnerabilities and systemic risks – into future policy development, including through participatory and co-designed approaches; institutional, business, financial and economic actors have better awareness on the systemic effects of their interactions and interdependencies with ecosystems, including international trade, across value chains; the understanding and mapping of cross-actor and cross-sectoral relationships and their associated knowledge production and decision-making pathways are improved; transdisciplinary research communities from natural and social sciences and humanities (SSH), as well as cultural and creative sectors, among others, collaborate to improve understanding on the indirect drivers [1] behind biodiversity-harming practices, identify leverage points and test evidence-based interventions – including in relation to governance, incentives, narratives, norms and power…

Expected Outcome: Project results are expected to contribute to some or all of the following expected outcomes: Improved skills, tools and training curricula for Police Authorities in Europe and Civil Society Organisations (or Non-Governmental Organisations) to work with at-risk groups to prevent persons from going missing. Those improved skills, tools and training curricula are to take into account European multicultural dimension, as well as legal and ethical rules of operation; Enhanced investigation tools and methodologies for Police Authorities in Europe to tackle cold cases in the context of missing persons, based on modern (forensic) technologies and criminology; Modern training curricula for Police Authorities, their improved cross-border cooperation and enhanced tools and methodologies to tackle new cases of missing persons; Enriched European common approaches applied by Police Authorities in Europe to fight the issue of missing persons relying on the synergy of technology, the latest socio-psychological knowledge learned from cases, as well as field experience of Police Authorities and entities dealing with victims, while fully respecting fundamental rights such as…

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Police Authorities in Europe are empowered with modern, accessible and validated tools, methodologies and training curricula to anticipate and cope with the misuse of new and emerging technologies for criminal purposes, with the aim to facilitate prevention, detection, efficient data access and investigation of criminal offences in a lawful manner and with full respect of fundamental rights, including the right to protection of personal data and to privacy; Reinforced interdisciplinary collaboration at the European level through the establishment of partnerships among technologists, policymakers and Police Authorities, resulting in a holistic understanding of the challenges posed by emerging technologies and in sharing of best practices; Clear guidelines and frameworks are created, including on procedures and rules, that ensure lawful access to data, balancing the needs of security with respect for privacy and that foster a European approach to the related challenges for the police and the judiciary. Scope: New and emerging technologies (e.g., new communication technologies,…

Expected Outcome: This topic aims to advance the scientific and technical foundations for the scaling of AI models, enhancing the performance of training and inference processes and providing European AI labs with the methodologies required to compete at the global frontier. Project results are expected to contribute to some of the following outcomes: Establishment of robust scaling laws and predictive frameworks that allow for the reliable estimation of model performance before large-scale compute investment. Enhanced competitiveness of European advanced AI models through optimised dataset mixtures, refined architectures, and superior hyperparameter configurations. Optimised development for frontier AI models, achieved via automated and scientifically grounded scaling methodologies. Scope: To maintain a leading position in AI, Europe must master the methodologies required to scale AI models’ performance, training and inference processes. Establishing a predictive methodology for AI model development ensures that limited computational resources are deployed with maximum efficiency, thereby bolstering the EU and AC’s technological sovereignty. While previous actions have focused on…

Expected Outcome: One or more of the following should be covered: Implementation of guidelines, standardised processes, or manuals – in the EU or multiple EU MS – concerning the most challenging issues, supporting specific stakeholders and sectors addressed by cybersecurity legislation. Develop and implement tools, raise awareness and encourage and facilitate industry uptake, with a focus on SMEs, of conformity assessments of essential cybersecurity requirements for products with digital elements (hardware and software) under the CRA. Support for mechanisms reducing the administrative burden for entities, like single entry point for incident notification. Establish secure communication channels allowing for cooperation and information sharing initiatives. Support the organisation of regular meetings/workshops to identify good practices within specific sectors or emerging areas and facilitate collaborative efforts between different sectors. Support the development of training courses, on the basis of the ECSF and exercises that promote capacity building and internal awareness. Contribution to CR standardisation: Training materials and training actions on cybersecurity certification…