Projectes
This project federates efforts from three pan-European ESFRI infrastructures (HL-LHC, SKAO and SLICES-RI) in physical sciences, Big Data, and in the computing continuum supporting flagship instruments that will maintain and strengthen European leadership in high energy physics and astronomy. The main goal is to enable key science projects, with the search for Dark Matter...
To guide climate change adaptation and mitigation, reliable information on the regional and local impacts of climate change is needed. The Destination Earth (DestinE) initiative responds to this need by developing Digital Twins (DTs) of the Earth. In particular, DestinE Climate DT provides climate information at regional and local scales over multiple decades. However, the...
The goal of UrbanAIR is to develop a new digital twin that supports decision-makers in urban areas to deal with urban designdilemmas in atmospheric heat and air quality to maximise the health and socio-economic well-being of its citizens affected by climatechange. It will provide critical tools for climate adaptation and hazard control through urban design and planning,...
Earth system models (ESM) show diverging estimates of ecosystem carbon (C) uptake which drives persistent uncertainty about future climate and limits the realization of policy mitigation goals. The CONCERTO project aims to strengthen the European research ecosystem by creating an innovative scientific collaborative framework that enhances our understanding, monitoring, and...
The rapidly evolving political information environment poses significant challenges to democratic citizenship through e.g. the spread of disinformation, rise of hate speech, and lack of cross-cutting information. Methodological challenges, including proprietary data, limited external validity of experiments, and the inability to use societies as experimental playgrounds,...
Climate change (CC) poses numerous risks to society. Amongst these, recent work has quantified the impacts that adverse climate conditions can exert on economic growth and inflation by applying empirical models (EMs) to historical data. Evaluation of the extent to which historical and future CC is changing such impacts is crucial for translating these empirical insights into...
To meet global EU objectives related to aeronautical industry competitiveness and climate-neutrality, highly advanced designtechnologies are needed to allow fast and reliable evaluations of innovative configurations. ROSAS aims at exploiting Artificial Intelligence (AI)/Machine Learning (ML), coupled with recent advances in Computational Fluid Dynamics (CFD) technology and...
Measurements and modelling for advancing knowledge of urban NMVOC concentrations in air and associated emission sources in Berlin and Barcelona
Artificial Intelligence Emulating Atmospheric Chemistry
Stroke, a major cause of global death and long-term disability, arises from a combination of factors including cardiovascular conditions such as atrial fibrillation (AF), modifiable lifestyle factors like diet and physical activity, and a spectrum of genetic and molecular determinants. Within the AI-SPRINT EU project, we have created a technology designed for continuous...