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EYE

Financiado

Cerrado

Economy bY spacE

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 spa... ver más

30/06/2025

ALMA

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

ALMA SISTEMI SRL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 12 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-03-29

MSCA-RISE-2020: Research and Innovation Staff Excha... Objective:The RISE scheme promotes international and cross-sector collaboration through exchanging r...

I+D

Cerrada hace 4 años

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

12 Participantes

ALMA

289.80K€ | Lider

QUANTUM INNOVATION IKE

64.40K€ | Participante

SciCo Cyprus

138.00K€ | Participante

GEOMATICS (CYPRUS) LTD

55.20K€ | Participante

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Duración del proyecto: 51 meses Fecha Inicio: 2021-03-29
Fecha Fin: 2025-06-30

Líder del proyecto

ALMA SISTEMI SRL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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