RAISE Doctoral Networks for AI in Science (RAISE pilot)

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: 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: 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: Support the adoption of market-ready innovative AI-powered cybersecurity solutions, including solutions developed in the framework of EU-supported research and innovation projects. Provide and deploy up to date AI-powered tools and services to organisations (in particular SMEs) to prepare, protect and respond to cybersecurity threats. Integrate AI technologies into cybersecurity processes to improve the security of ICT solutions, including providing innovative approaches to training employees to use AI solutions for cybersecurity. Deployment of cybersecure tools and technologies relying on trustworthy AI; AI driven cybersecurity tools; Integration of tools to protect and secure AI solutions. Objective: To support the market uptake and dissemination of innovative AI-powered cybersecurity solutions (notably in SMEs, possibly using results stemming from Horizon Europe projects or similar) and improve knowledge and auditing of cybersecurity preparedness. SMEs often lack the resources to assess cyber risks, develop cybersecurity strategies and implement solutions, leaving them vulnerable to cyberattacks. The resilience of organisations that fall into this category is…

Expected Outcome: The successful proposal is expected to further contribute to the expected outcomes specified in topic HORIZON-CL6-2024-GOVERNANCE-02-01: European Partnership of Agriculture of Data, for continuation of the activities in line with already agreed outcomes. Scope: The objective of this action is to continue to provide support to the European partnership of Agriculture of Data identified in the Horizon Europe Strategic Plan 2021-2024 and first implemented under the topic HORIZON-CL6-2024-GOVERNANCE-02-01: European Partnership of Agriculture of Data, and in particular to fund additional activities (which may also be undertaken by additional partners) in view of its intended scope and duration, and in accordance with Article 24(2) of the Horizon Europe Regulation. The consortium which applied to and received funding under HORIZON-CL6-2024-GOVERNANCE-02-01: European Partnership of Agriculture of Data is uniquely placed to submit a proposal to continue the envisioned partnership. Not only did this consortium submit the proposal leading to the identification of the partnership in the Horizon Europe strategic planning 2021-2024, it has also been implementing the…

Expected Outcome: This action will advance Europe’s leadership in trapped-ion quantum computing by achieving the following key outcomes: Establishment of a full-stack ion-trap quantum computer aiming at more than 1.000 qubits, fully integrated into high-performance computing (HPC) systems, and accessible via the cloud. Demonstration of quantum advantage for selected real-world applications, validated against benchmarks. Strengthened European capabilities to develop modular, interoperable, and scalable quantum computing architectures. Implementation and demonstration of advanced error correction and fault-tolerant quantum computing techniques. Integration of full-stack hardware-software systems with standardised and certified interfaces. Engagement with industry and academia through open access to quantum computing resources and co-design of applications. Scope: The action should support the scale-up of European trapped-ion quantum computing platforms, aiming at technological maturity and usability for industrial and scientific applications. In particular, the action must address at least two major technical roadblocks defined in the Strategic Research and Industry Agenda (SRIA…

Expected Outcome: This action will establish a pan-European open-access testing and experimentation infrastructure for quantum technologies, enabling systematic validation and certification of quantum components and systems. Expected outcomes include: Deployment of distributed quantum testing facilities accessible across Europe, including remote access and standardized test protocols. Provision of certification services aligned with future standardisation efforts, ensuring trust, quality, and interoperability of quantum technologies. Support for SMEs, start-ups, and research institutions in validating quantum components and sub-systems. Strengthening of Europe’s competitiveness by ensuring robust quality assurance mechanisms and accelerating the time-to-market of emerging quantum products. Scope: The proposal should implement the testing-related part of the action plan established under the Framework Partnership Agreement for Qu-Test. The action must include: Expansion and interconnection of open-access testing facilities in multiple Member States, covering a range of quantum technologies (e.g., processors, sensors, photonics, control systems). Development and deployment of…

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Public authorities, industry, technology providers, energy producers and consumers profit from de-risking of cost-effective essential value chains of those renewable fuel technologies that can contribute to domestic commercial fuel production beyond 2030 customized to their needs, from improved access to better financing exploiting synergies across funding schemes, and from more effective market uptake, business models, increased competitiveness, and commercialization opportunities. Energy producers, clean tech manufacturing industries, researchers and consumers benefit from improved performance, lower environmental impact, security and competitiveness of ad-hoc renewable fuel technologies compared to existing ones, as well as new market opportunities. Community, public authorities and industry benefit from sharing the de-risking cost and reducing it by engaging several competing solution suppliers/technology providers in parallel, boosting transnational public and private investments in de-risking and attracting new players to tackle supplier lock-in issues The implementation…