Projet EYE (Horizon 2020, appel à projets 2020)
Action : Staff Exchanges
Panel : Economic Sciences
Statut du projet : SIGNED

Space technology connected with Artificial Intelligence and machine learning techniques is one of the most rapidly developing field of science and also play a key role to control disaster by space like Covid-19 outbreak. While space technologies have been successfully applied to a small number of macroeconomy and heath care related matters over the last decade, there is neither a significant utilization of space elements nor a systematic analysis of needs for space assets in this sector yet. There are a significant number of indirect parameters observable from space that can be correlated to the impact on the economy of natural, health (including epidemic) and man-made disasters. Classical environment parameters (geographical, climatological and hydrogeological) and man induced impact on the environment (pollution, heat) can be combined with economic parameters of human activities impacted by the epidemic including transportation, industry, and commerce. Specific human activities can be directly correlated with the progression of the diseases i.e. increase of heat delivered by crematorium in the affected areas as well as in the dwelling areas due to lock-down restrictions. All these “observed parameters” need to be correlated to macro parameters related to the progress of the epidemic and its impact of the of the infection to the economy at different scales. At medium- and long-term time scale, this methodology enables the near real-time monitoring of macroeconomic parameters during the recovery phase following the end of the emergency outbreak. The project EYE intends to propose a prototype service based on Copernicus data, automatic image processing supported by artificial intelligence integrated with modelling and statistic and geospatial data into an IT platform able to provide econometric and epidemiologic nowcasting and forecasting data.

Mots clés : covid 19, macroeconomic indicators, remote sensing, image processing, artificial intelligence

Participants :
- University of Rome Tor Vergata (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 27600.0 €
- Quantum innovation ike (Grèce) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 64400.0 €
- University of Thessaly (Grèce) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 115000.0 €
- Wroclaw University of Environmental and Life Sciences (Pologne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 105800.0 €
- Creotech instruments spolka akcyjna (Pologne) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 0.0 €
- University of Sassari (Italie) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 82800.0 €
- Alma sistemi srl (Italie) — Coordinator, beneficiary, Organismes privés (hors enseignement), subvention : 289800.0 €
- Universidad Complutense de Madrid (Espagne) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 73600.0 €
- Cyprus space exploration organisation (cseo) (Chypre) — Partner, beneficiary, Recherche, subvention : 138000.0 €
- Geomatics (cyprus) limited (Chypre) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 55200.0 €
- Geosystems hellas it kai efarmogesgeopliroforiakon systimaton anonimietaireia (Grèce) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 101200.0 €
- Space systems solutions (s3)ltd (Chypre) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 184000.0 €