ERC Synergy Grant 2024

The Climate Change AI Innovation Grants program supports projects that address research and deployment challenges in climate change mitigation, adaptation, and climate science by leveraging AI and machine learning, while also creating publicly available datasets and tools to catalyze further work. The program enables key partnerships that accelerate the research-to-deployment cycle, creating synergies between academic researchers, nonprofits, startups and other companies, and governmental or intergovernmental organizations. Funded by the Quadrature Climate Foundation, Schmidt Futures, and Google DeepMind, with Future Earth serving as fiscal sponsor, this is one of the few dedicated grant programs specifically targeting the intersection of AI/ML and climate change. Projects typically involve climate modeling, weather prediction, emissions monitoring, energy optimization, biodiversity monitoring, and other environmental applications of machine learning. The 2026 competition opens with a full proposal deadline of September 15, 2026. The program has grown steadily since its inception, funding 23 projects to date across diverse climate domains and geographies.

Advanced Digital Skills for AI Uptake in Health is sponsored by European Commission — Digital Europe Programme. Expected Outcome: Deliverables: Initiatives implemented for the target audience to collect knowledge on learning needs in the area of AI uptake in health. Training programmes in the area of advanced digital skills for AI uptake in health, designed jointly by higher education institutions, VET providers, research organisations, businesses and other stakeholders in digital health, in collaboration with the network of AI-powered advanced screening centres. Training catalogue with detailed course planning and timetable, regularly updated. Final analysis of the completed training and the achievement level reached in improved skills. A landing page integrated into the Digital Skills and Jobs Platform, showcasing existing and forthcoming education and training initiatives and promoting training offers to the relevant audience. Objective: The academic offer in the area of advanced digital technologies in the EU is still lagging behind other regions of the world, especially when compared to the United Kingdom or the United States [1] even though the number of both bachelor’s and master’s programmes in the EU has increased through the years. Furthermore, apart from delivering excellent programmes in specific digital technologies, there is also a growing demand for interdisciplinary programmes to equip sector specialists with the digital skills to deploy and use advanced digital technologies. The actions under this topic aim at tackling the lack of academic training offer in advanced digital skills in key digital areas, while triggering a new way of delivering education programmes and training, building partnerships between education and training providers, businesses and research across the EU, and supporting the digital skills necessary for the deployment of digital technologies in strategic sectors. 1 This represents an increase of 8% in the number of bachelor programmes and an increase of 14% in the number of master programmes in the area of advanced digital skills. The dataset by the Joint Research Centre on the ‘Academic offer of advanced digital technologies 2022-2023’ is available here: JRC Data Catalogue - Dataset - European Commission Scope: This topic aims to expand the offer of education and training in Artificial Intelligence in health jointly designed between higher education and training institutions, research organisations and industry. The content must reflect the latest policy developments, notably the Apply AI Strategy [1] and the European Health Data Space [2] . It should cover developments in and application of AI and related digital health technologies. The target audience is healthcare professionals, as well as computer and data scientists, programmers, and software developers working in the healthcare sector. Trainings must reflect the learning needs of the target audience and will vary in depth and technical complexity to accommodate different levels of expertise and learning preferences. To this end, the proposed project(s) should design and deliver the trainings in cooperation with the Apply AI Strategy flagship “European network of AI-powered advanced screening centres” [3]. The training courses should be made available to members of the “European network of AI-powered advanced screening centres” at least quarterly. The training sessions and material should be available in English and other EU languages, considering the needs of the target audience that need to be established. The training catalogue and content should be adapted regularly, according to target audience feedback. Whenever applicable, the projects should foster the use of the HealthData@EU infrastructure and other European health data infrastructures (Genomic Data Infrastructure, Cancer Image Europe, the European Virtual Human Twins advanced platform, ICU data space), explore synergies and build on relevant education and training activities developed and provided in the context of those initiatives, as well as in the relevant projects funded by E Programme areas: DIGITAL-1 Keywords: Artificial intelligence, Artificial intelligence, intelligent systems, multi agent systems, Computer sciences - Operating systems (software development only), Continuing professional training, Curriculum design and development, Design of innovative master related to European Innovation potential, Digital Services and Platforms, Education, Education and Training, Health and Ecosystem Services, Health data, Health sciences, IT skills and competence, Identification of skills needs, Inclusive Education, Integration and upscaling of digital technologies and media in education, Interoperability, Learning outcomes, Master's or equivalent, New employement profiles and identification of skills, Personal development, Qualification, Teaching materials, Technological innovation, Training, Advanced Digital Skills, Cross-Sectoral Collaboration, Digital Health Education, European Health Data Space and infrastructure, European Health Initiatives, Health Workforce Development, Health care professionals, Health care students, High level expertise for healthcare, STEP-Digital/deep tech