Pilot Federation

Research Support Framework for Situational Awareness on information integrity is sponsored by European Commission — Digital Europe Programme. Expected Outcome: At a general level, the project should achieve a strong, visible and recognised impact in scaling, facilitating and accelerating research and analytical efforts focussing on the information environment and information integrity. The main outcomes of the awarded project will be: The technical solutions created or supported The insights generated from supported research and monitoring projects The proof of concept and lessons learnt for the support of shared infrastructures to support research on the information environment Project applications will formulate their own deliverables in accordance with their needs analyses and proposed means to address them. At the minimum, deliverables should include: A suite or network of solutions capable of addressing Specific Objectives 1 and 2 (c.f. section 2 ‘Scope – Specific Objectives 1 and 2’) A methodology and dissemination plan for creating access to the created resources (c.f. section 2 ‘Scope – Specific Objective 3) A sub-granting methodology in line with the scope set forth in the section above (c.f. section 2 ‘Scope – Specific Objective 5’) A final report detailing lessons learnt and identifying clear paths for future actions Objective: The overarching objective of this action is as follows: Creating a common research framework with the necessary infrastructure to enable advanced research and analysis on information integrity in the EU. In order to achieve this overall objective, the action rests on the following specific objectives: Securing or setting up necessary infrastructure, comprising both hardware and software capacities, needed for advanced research on information integrity, that can be accessed by third parties across the EU Supporting, acquiring or creating a set of dedicated tools to facilitate research on information integrity and the analysis of information manipulation Making the dedicated tools and computational capacity accessible to researchers and civil society, where needed through a transparent and effective access mechanism, and promoting its solutions in the relevant communities Contributing to the DSA’s data access regime by collecting views from the research community on the data access API’s of very large online platforms required by the DSA, documenting best practices and shortcomings, and representing the research community in efforts to improve the capability of API’s Set up and implement a grant structure to distribute funds to third parties from the research and civil society communities, funding as the eligible activities: Third party tools or capabilities that support the delivery of Specific Objectives 1 and 2 Research projects that utilise the outputs established under Specific Objectives 1 and 2 Scope: Applying consortia must convincingly detail how they will achieve the objectives and deliverables set forth in this call for proposals. Proposals must be clearly and well-defined, researched and fully developed taking all time-schedule and budget considerations into account. This action is a grant for financial support, which foresees both the delivery of a set of actions by the awarded consortium co-funded at 100% as well as the distribution of a majority of the funds to third parties based on fair and transparent selection criteria (c.f. section 6 ‘Eligibility – Eligible Activities’). Proposals must allocate at least 60% of their proposed budget to the financial support to third parties. The below details the scope for the activities of the consortium, as well as for the provision of grants to third parties. Two important, cross-cutting considerations apply to these descriptions on scope: Firstly, all provided examples for concrete means of implementation should be considered as indicative illustrations only, and thus not mandatory elements for grant applications. Rather, applying consortia will need to base their proposals on a clear, evidence informed needs analysis that is centred on the demands from the relevant research an Programme areas: DIGITAL Keywords: New technologies for Audio-Visual sector - Media, Social Media, DSA, Digital, Digital Europe, Digital Europe Programme, European Democracy Shield, Fact checkers, information, information integrity, media, social media platforms

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