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Health AI, data & cloud Deployment: Best use of technologies
The call for tenders under the current Digital Europe Work Programme aims to invest into a procurement of state-of-the-art platform for advanced Virtual Human Twins (VHT) integration and validation models.Virtual human twins hold great potential in advancing personalised care as they will be able to accelerate tangible benefits for citizens and patients, while also sustaining and advancing EU science and technology.Under the EU Virtual Human Initiative, this call will facilitate advanced, collaborative VHT research and technology development by procuring a new, distributed and accessible platform system and associated services in the pre-competitive space.The deadline for submission was extended until 7 June 2024. More information via this link.
Agro-Food, Environment AI, data & cloud
The Agridataspace Coordination and Support Action has successfully concluded its 18-month activities and has delivered its recommendations for Common European Agricultural Data Space (CEADS). This milestone will be followed by a deployment action, featuring a dedicated open call for proposals under the Digital Europe Programme. The consortium recommended a decentralised approach that puts the interests of farmers at its core. It suggested constructing the data space under consideration from over 400 already existing data sharing initiatives mapped across European countries. The AgriDataSpace project was designed to establish the groundwork for a Common European Agricultural data space (CEADS). It facilitates data sharing, processing, and analysis in a secured, trusted, transparent and responsible manner. This is to boost the sector’s performance and stimulate data-driven innovations. The project involved 15 partners, including top research institutes, agriculture data intermediaries and industry associations from 10 countries that are deeply integrated in the EU data space ecosystem. In close interaction with stakeholder groups and employing a participatory approach, the consortium mapped the current data space landscape, recording experiences with data sharing. They analysed and assessed governance and business models and evolving legislation, and defined a technical reference architecture. These elements were integrated into a roadmap that consolidates all necessary requirements and actions into a comprehensive strategy for implementing the Common European Agricultural Data Space. For further details on the coordination and support action “Agridataspace” and its achievements, have a look at the project deliverables.
The Marie SkÅ‚odowska-Curie Action (MSCA) European Innovative Training Network “PBNv2 - Next generation Pass-By Noise approaches for new powertrain vehicles” started in May 2017. Their research has the shared objective of investigating the possibilities to decrease pass-by noise of vehicles.
The project is a collaboration between 17 research institutions and companies in the European automotive R&D and provides a learning environment for 14 PhD fellows. The Belgian partner is the Noise and Vibration Research Group of KU Leuven, and this project is one of the many Horizon 2020 MSCA Innovative Training Networks that the KU Leuven research group participates in.