Using crowd-sourcing techniques, the system developed by TORCIA automatically analyses public information on social networks, such as Twitter and Facebook, and combines it with information from other sources such as sensors and monitors. The data is processed in real time to determine the consequences of an emergency and give indications, for example, on road conditions and public transport.

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The project is funded by:

Unione Europea
Governo italiano
 Ministero dell’Istruzione, dell’Università e della Ricerca
Regione Lombardia
Programma Operativo Competitività FESR

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