TOPDRIM
Topology driven methods for complex systems
| Coordinatore | UNIVERSITA DEGLI STUDI DI CAMERINO
Organization address
address: -Via del Bastione 1 contact info |
| Nazionalità Coordinatore | Italy [IT] |
| Totale costo | 2˙460˙694 € |
| EC contributo | 1˙920˙000 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2011-8 |
| Funding Scheme | CP |
| Anno di inizio | 2012 |
| Periodo (anno-mese-giorno) | 2012-10-01 - 2015-09-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
UNIVERSITA DEGLI STUDI DI CAMERINO
Organization address
address: -Via del Bastione 1 contact info |
IT (#NOME?) | coordinator | 0.00 |
| 2 |
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
Organization address
address: Rue Michel -Ange 3 contact info |
FR (PARIS) | participant | 0.00 |
| 3 |
FONDAZIONE ISTITUTO PER L'INTERSCAMBIO SCIENTIFICO (I.S.I.)
Organization address
address: VIA ALASSIO 11/C contact info |
IT (TORINO) | participant | 0.00 |
| 4 |
SYDDANSK UNIVERSITET
Organization address
address: CAMPUSVEJ 55 contact info |
DK (ODENSE M) | participant | 0.00 |
| 5 |
THE OPEN UNIVERSITY
Organization address
address: WALTON HALL contact info |
UK (MILTON KEYNES) | participant | 0.00 |
| 6 |
UNIVERSITE D'AIX MARSEILLE
Organization address
address: Boulevard Charles Livon 58 contact info |
FR (Marseille) | participant | 0.00 |
| 7 |
UNIVERSITEIT VAN AMSTERDAM
Organization address
address: SPUI 21 contact info |
NL (AMSTERDAM) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
Many complex systems are characterized by multi-level properties that make the study of their dynamics and of their emerging phenomena a daunting task. The huge amount of data available in modern sciences can be expected to support great progress in these studies, even though the nature of the data varies. Given that, it is crucial to extract as much as possible features from data, including qualitative (topological) ones. The goal of this project is to provide methods driven by the topology of data for describing the dynamics of multi-level complex systems. To this end the project will develop new mathematical and computational formalisms accounting for topological effects. To pursue these objectives the project brings together scientists from many diverse fields including as topology and geometry, statistical physics and information theory, computer science and biology. The proposed methods, obtained through concerted efforts, will cover different aspects of the science of complexity ranging from foundations, to simulations through modelling and analysis, and are expected to constitute the building blocks for a new generalized theory of complexity.