Projects
The Genomic Data Infrastructure (GDI) project brings together national agencies, research organisations, and technology providers in 22 countries to provide a cross-border federated network of national genome collections, associated with other relevant data, for advancing data-driven biomedical research and personalised medicine solutions to benefit citizens of...
IMPETUS4CHANGE (I4C) will make significant scientific advances that will enhance our collective ability to act on and adapt to near-term climate change. The overarching objective of I4C is to improve the quality, accessibility and usability of near-term climate information and services at local to regional scales where impacts are most keenly felt and on-the-ground adaptation...
Compound events (CEs) can pose significant threats to societies, economies and ecosystems around the world, especially when amplified by anthropogenic climate change (ACC). There is therefore a strong need for skilled, reliable and actionable predictions of how CEs are expected to change in the next decades to help governments and stakeholders implement robust adaptation...
This contract will aim at carrying out the European Climate Risk Assessment (EUCRA). The primary policy purposes of EUCRA are:" to support the identification of adaptation-related policy priorities for the next European Commission (to be nominated in 2024)," to support the prioritization of adaptation-related investments for the following multi-annual financial framework...
The high-performance demands of the functionalities required in complex critical systems is rapidly increasing. In the space domain, on-board processing algorithms for navigation and control systems are needed to increase spacecraft autonomy; in the automotive and railway domains, advanced driving assistance systems (ADAS) and obstacle detection and avoidancesystems...
INTERFACE is aligned with the goals of digitalization and decarbonization of the metallurgical sector and proposes innovative solutions based on advanced software generation and use of data-driven methods with Machine Learning to develop digital tools for the system control and optimization. INTERFACE is dedicated to develop digital tools and a data acquisition system to...
The EHDS2 Pilot project is composed of 16 partners that are national hubs, ERICs or research Infrastructures, EU agencies and associations in the area of health. The partners have expertise in health data fields and transversal skills acquired in different previous projects or partnership networks.
The EHDS2 Pilot project will build and test a first...
The overall aim of the EDITH project is to foster an inclusive ecosystem for Digital Twins in healthcare in Europe and to prompt the convergence of such an ecosystem towards a common strategy conducive to its further development. This is achieved by mapping and analysing the status of the fields which are crucial for the growth, uptake and use of digital twins in healthcare,...
A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in such domains, is the ability to forecast imminent situations and critical complex events ahead of time. EVENFLOW will...
Deep Learning (DL) techniques are key for most future advanced software functions in Critical Autonomous AI-based Systems (CAIS) in cars, trains and satellites. Hence, those CAIS industries depend on their ability to design, implement, qualify, and certify DL-basedsoftware products under bounded effort/cost.There is a fundamental gap between Functional Safety (FUSA)...