H2020
Europeo
ExpectedOutcome:Project results are expected to contribute to all the following expected outcomes:
Availability of advanced modelling and prediction capabilities aimed at industrial, scientific or policy end users on fundamental, complex and socio-economically relevant real-life phenomena, including consideration of the possibility to replace, where appropriate, the need for physical experiments and interventions by using digital twins.Enhanced competitiveness and improved effectiveness of European RIs; Better integration of RIs into local, regional and global innovation and decision support systems.
Scope:The aim of this topic is to deliver digital twin solutions which advance the state-of-art of European RIs and show transformative potential in RI operations. The solutions should pave way for new ways to conduct experiments by the RIs through AR/VR (augmented reality/virtual reality) empowered digital twins. Mixed reality (XR) technologies can also be considered. The focus is on newer application areas, such as healthcare, safety and security, to understand complex real-world systems, particularly in application areas constrained by specific physical limitatio...
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ExpectedOutcome:Project results are expected to contribute to all the following expected outcomes:
Availability of advanced modelling and prediction capabilities aimed at industrial, scientific or policy end users on fundamental, complex and socio-economically relevant real-life phenomena, including consideration of the possibility to replace, where appropriate, the need for physical experiments and interventions by using digital twins.Enhanced competitiveness and improved effectiveness of European RIs; Better integration of RIs into local, regional and global innovation and decision support systems.
Scope:The aim of this topic is to deliver digital twin solutions which advance the state-of-art of European RIs and show transformative potential in RI operations. The solutions should pave way for new ways to conduct experiments by the RIs through AR/VR (augmented reality/virtual reality) empowered digital twins. Mixed reality (XR) technologies can also be considered. The focus is on newer application areas, such as healthcare, safety and security, to understand complex real-world systems, particularly in application areas constrained by specific physical limitations (like radiation, pressure or temperature). The related developments, which underpin the provision of improved and advanced services, should lead RIs to support new areas of research and/or a wider community of users, including clearly identified and involved industrial, scientific or policy end users and enhance the potential of the RIs in addressing EU policy objectives and socio-economic challenges.
Proposals should address all of the following aspects:
development of digital twin solutions for RIs that take advantage of AR/VR technologies for interactive visualisation and bring together the available relevant data resources in the specific topical area;include technology validation and prototyping activities to cope with a large and representative application area to test the relevance of the solutions with the needs of relevant industrial, scientific or policy end users;prepare for take-up of the developed solutions by clearly identified and involved industrial, scientific or policy end users, and include relevant training for the operation and use of these new solutions. Consortia should include world-class RIs, like ESFRI infrastructures, European Research Infrastructures Consortia (ERICs) and/or other world-class RIs of European interest. Relevant technological partners from the industry and SMEs should be involved to the activities and to promote innovation and knowledge sharing through co-development of new technical solutions for RIs.
Clearly identified industrial, scientific and/or policy end users should be involved through an iterative development process. Clearly defined use cases should demonstrate the potential of these new solutions within the involved communities and beyond. If appropriate, links to the Destination Earth (DestinE) initiative[1] could be established, either by contributing directly to future application areas of DestinE or by making use of DestinE model/data resources. In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.
Specific Topic Conditions:Activities are expected to achieve TRL 6 or higher by the end of the project – see General Annex B.
[1]https://digital-strategy.ec.europa.eu/en/policies/destination-earth
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Healthcare Safety Competitiveness Innovation Systems
Características del consorcio
:
La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Características del Proyecto
1. Availability of advanced modelling and prediction capabilities for industrial, scientific, and policy end users.
2. Enhanced competitiveness and increased effectiveness of European Research Infrastructures (RIs).
3. Improved integration of RIs into local, regional, and global innovation and decision support systems.
4. Development of digital twin solutions using AR/VR technology for interactive visualization and data integration.
5. Technology validation and prototyping to meet the needs of industrial, scientific, or policy end users.
6. Training for the operation and use of new solutions for identified end users.
7. Involvement of world-class RIs and technological partners from industry and SMEs to drive innovation and knowledge sharing.
8. Demonstrating the potential of these solutions within the community and beyond through clearly defined use cases.
9. Potential links to the Destination Earth initiative for contributing to future application areas or utilizing model/data resources.
10. Achievement of Technology Readiness Level (TRL) 6 or higher by the end of the project to ensure advanced technological development and readiness for implementation. The expected impacts of the project include:
1. Availability of advanced modelling and prediction capabilities for industrial, scientific, and policy end users.
2. Enhanced competitiveness and increased effectiveness of European Research Infrastructures (RIs).
3. Improved integration of RIs into local, regional, and global innovation and decision support systems.
4. Development of digital twin solutions using AR/VR technology for interactive visualization and data integration.
5. Technology validation and prototyping to meet the needs of industrial, scientific, or policy end users.
6. Training for the operation and use of new solutions for identified end users.
7. Involvement of world-class RIs and technological partners from industry and SMEs to drive innovation and knowledge sharing.
8. Demonstrating the potential of these solutions within the community and beyond through clearly defined use cases.
9. Potential links to the Destination Earth initiative for contributing to future application areas or utilizing model/data resources.
10. Achievement of Technology Readiness Level (TRL) 6 or higher by the end of the project to ensure advanced technological development and readiness for implementation.
Características de la financiación
Para el presupuesto subvencionable la intensidad de la ayuda en formato fondo perdido podrá alcanzar como minimo un 100%.
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