Coordinatore | UNIWERSYTET MARII CURIE-SKLODOWSKIEJ
Organization address
address: PL. MARII CURIE-SKLODOWSKIEJ 5 contact info |
Nazionalità Coordinatore | Poland [PL] |
Totale costo | 366˙900 € |
EC contributo | 366˙900 € |
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-2013-IRSES |
Funding Scheme | MC-IRSES |
Anno di inizio | 2014 |
Periodo (anno-mese-giorno) | 2014-01-01 - 2017-12-31 |
# | ||||
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1 |
UNIWERSYTET MARII CURIE-SKLODOWSKIEJ
Organization address
address: PL. MARII CURIE-SKLODOWSKIEJ 5 contact info |
PL (LUBLIN) | coordinator | 118˙500.00 |
2 |
UNIVERSITAET BIELEFELD
Organization address
address: UNIVERSITAETSSTRASSE 25 contact info |
DE (BIELEFELD) | participant | 85˙100.00 |
3 |
UNIVERSITETET I BERGEN
Organization address
address: Museplassen 1 contact info |
NO (BERGEN) | participant | 68˙300.00 |
4 |
ORT BRAUDE COLLEGE
Organization address
address: Snunit street 51 contact info |
IL (KARMIEL) | participant | 51˙300.00 |
5 |
HELSINGIN YLIOPISTO
Organization address
address: YLIOPISTONKATU 4 contact info |
FI (HELSINGIN YLIOPISTO) | participant | 43˙700.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'The aim of the project is to make a major step-change in developing novel effective tools for studying complex systems based on stochastic geometry and stochastic evolution methods, on appropriate methods of analysis and combinatorics, as well as on numerical methods and computer simulations. The network we are going to create will unite efforts of leading specialists in this area towards scientific excellence, will establish new and strengthen existing long-term collaboration links between them, and will train a new generation of young researchers in this multidisciplinary area.
The proposed research is assumed to employ existing and to elaborate new models of real-world object, and hence to have direct applications. The systems we are going to study consist of large number of interacting entities and may evolve in continuous space and time. Both their structure and evolution are of our interest. Such systems appear in broadly understood statistical physics, including its industrial applications, in spatial ecology, evolutionary and population biology, epidemiology, etc. In view of this, along with mathematicians the network includes physicists and biologists working with the corresponding experimental data and experienced in modeling real world objects of the mentioned areas. In this direction, we plan to study structure and properties of complex networks, such as polymers, irregular and random graphs, random fields on graphs, and their applications in the mentioned areas. The microscopic evolution of complex systems of this type will be studied in Markovian and time-delayed frameworks. Their meso- and macroscopic dynamics will be deduced from the microscopic theory by various types of scaling procedures. Along with systems of interacting entities we will study objects which can be characterized as evolving complex shapes, where methods of stochastic geometry ought to be especially effective. Such models have various applications, e.g., in neurogeometry and visua'