Made in NY Media Center Grants and Fellowships

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

The Boosting Innovative GEOINT-Science and Technology (BIG-ST) Broad Agency Announcement (BAA) invites proposers to submit innovative concepts to address hard GEOINT problems that align to one or more of the following technical domains: (1) Foundational GEOINT, (2) Advanced Phenomenologies, and (3) Analytic Technologies. BAA Process and Topic Call Publication: The BIG-ST BAA is a general announcement of NGA’s research interest, including criteria for selecting proposals and soliciting the participation of all offerors capable of satisfying the Government’s needs. The requests for abstracts and proposals are transmitted via Topic Calls that are published separately under the BIG-ST BAA General Solicitation at various times during the open period of the General Solicitation. Topic Calls will be published via updates to the BIG-ST BAA General Solicitation site on Sam.gov, Grants.gov, and/or the Classified IC-Acquisition Research Center (https://acq-ui.ace.proj.nro.ic.gov). If a Topic Call is Classified, interested parties must have an account to log into the Classified IC-ARC to see the notice, and all associated RFP documents. For additional support with account access, please contact the Classified ACE Help Desk at 855-4ACE.Interested parties should periodically check these websites for updates. No submissions shall be accepted to the General Solicitation; abstracts and proposals will only be reviewed in response to open Topic Calls. Please refer to the Topic Calls for Abstract and Proposal due dates. The BIG-ST BAA General Solicitation, HM047623BAA0001 Revision 4 (dated 07/30/2026), is posted and applies to Topic 6 and forward. See Attachments/Links. Closed Topics: Topic 1 - Geospatial-Intelligence Foundational Model (GFM) is closed Topic 2 - Magnifying University Science Expertise (MUSE) is closed. Topic 3 - VLBI+G Signal Chain Development (VLBI+G) is closed. Topic 5 - Better Ingested GEOINT - Identifying Artificial Intelligence and Manually Manipulated Media (BIGISLAND) is closed. Topic 6 - Magnifying University Science Expertise (MUSE 2) is closed. Canceled Topics: Topic 4 - Production of Radio Frequency (RF) Surveys from Commercial On-orbit Passive RF (RF-COP) is canceled. Active Topics: 8/18/2026 Update: Topic 7 is on HOLD pending Government requirement reviews. No other updates are made. Topic 7 – Lidar Analysis for Surface & Environmental Reconnaissance (LASER) is open (currently on HOLD). Please visit SAM.gov for details. Please review the following new/updated documents under Attachment/Links: Updated: BIGST_BAA_HM047623BAA0001_GeneralSolicitation_REV4_20260730 Updated: BIGST_BAA_HM047623BAA0001_Provisions_Clauses_20260622 Updated: Research and Technology Plan_20260730 ** Please note: there are 8 Attachments to the RTP Plan** A summary of changes can be found within the BIG-ST BAA General Solicitation Revision 4 dated 07/30/2026. Changes are highlighted in YELLOW. Funding Opportunity Number: HM047623BAA0001. Assistance Listing: 12.630. Funding Instrument: CA,G,O,PC. Category: ST.