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Structure and Evolution of Complex Systems with Applications in Physics and Life...

Structure and Evolution of Complex Systems with Applications in Physics and Life Sciences 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 combinato... ver más

31/12/2017

Uni-Lublin

351K€

Presupuesto del proyecto: 351K€

Líder del proyecto

UNIWERSYTET MARII CURIESKLODOWSKIEJ No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 6 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2017-12-31 No tenemos la información de la convocatoria

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6 Participantes

Uni-Lublin

0.00€ | Lider

HVL

N.D. | Participante

UNIBI

N.D. | Participante

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Líder del proyecto

UNIWERSYTET MARII CURIESKLODOWSKIEJ No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 351K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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

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