PASSAROLA

Statistical and dynamical analysis of collective behaviour in a three-dimensional motion: Empirical studies and modelling

 Coordinatore CONSIGLIO NAZIONALE DELLE RICERCHE 

 Organization address address: Piazzale Aldo Moro 7
city: ROMA
postcode: 185

contact info
Titolo: Ms.
Nome: Paola
Cognome: Angelici
Email: send email
Telefono: +39 - 06 4991 3720
Fax: +39 - 06 4454816

 Nazionalità Coordinatore Italy [IT]
 Totale costo 166˙239 €
 EC contributo 166˙239 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2009-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-11-01   -   2012-10-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    CONSIGLIO NAZIONALE DELLE RICERCHE

 Organization address address: Piazzale Aldo Moro 7
city: ROMA
postcode: 185

contact info
Titolo: Ms.
Nome: Paola
Cognome: Angelici
Email: send email
Telefono: +39 - 06 4991 3720
Fax: +39 - 06 4454816

IT (ROMA) coordinator 166˙239.40

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

collective    birds    insects    data    living    statistical    swarms    flocks   

 Obiettivo del progetto (Objective)

'Collective behaviour is ubiquitous in living systems such as flocks of birds, swarms of insects or schools of fishes. It occurs for several reasons which go from predator protection to mating. To better understand those living systems it is therefore important to understand how collective behaviour emerges and its features. For large flocks of birds and swarms of insects little work has been made from the perspective of empirical and statistical analysis towards modelling of different types. This proposal aims to make a comprehensive data acquisition of three-dimensional data of position and trajectories of elements in groups of flying animals for posterior statistical, dynamical and non-linear analysis characterisation and consequent modelling. It corresponds to the first broad approach to collective phenomena starting from measuring real features in order to reproduce them. After this study it will be possible to understand to fundamental principles of aggregation of birds and some species of insects and to appraise whether those mechanisms are common in flocking and swarming. To that, a interdisciplinary approach involving the fields of Biology (Animal Behaviour),'

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