Progetto di ricerca

CIMPLEX - Bringing CItizens, Models and Data together in Participatory, Interactive SociaL EXploratories (ISTI) (DIT.AD004.014)

Area tematica

Ingegneria, ICT e tecnologie per l'energia e i trasporti

Area progettuale

Dati, Contenuti e Media (DIT.AD004)

Struttura responsabile del progetto di ricerca

Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo" (ISTI)

Altre strutture che collaborano al progetto di ricerca

Responsabile di progetto

SALVATORE RINZIVILLO
Telefono: +39 050 621 3073
E-mail: salvatore.rinzivillo@isti.cnr.it

Abstract

CIMPLEX project will develop large scale, data-driven computational models with a high level of realism, coupled with participatory data-collection schemes and Big Data analysis methods. CIMPLEX will interconnect contagion progression (e.g. epidemics) with social adaptation, the economic impact and other systemic aspects that will finally allow a complete analysis of the systemic risk inherent to epidemics and social contagion processes in general. The consortium envisions models making predictions, which drive policy aimed at changing behavior and the situation in the real world. Data collection and analysis feeds detected deviations (between the real and the predicted effect) back into the models which readjust and make improved predictions driving new policies etc.

Obiettivi

CIMPLEX will interconnect contagion progression (e.g. epidemics) with social adaptation, the economic impact and other systemic aspects that will finally allow a complete analysis of the systemic risk inherent to epidemics and social contagion processes in general. The consortium envisions models making predictions, which drive policy aimed at changing behavior and the situation in the real world. Data collection and analysis feeds detected deviations (between the real and the predicted effect) back into the models which readjust and make improved predictions driving new policies etc.

Data inizio attività

01/01/2015

Parole chiave

Complex Systems, diffusion process, network science

Ultimo aggiornamento: 14/10/2024