DynaNets

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This is the home page for the DynaNets EU FP7 FET Open project, started June 1, 2009.

About DynaNets:

Recent advances in experimental techniques such as detectors, sensors, and scanners
have opened up new windows into physical and biological processes on many levels of
detail. The complete cascade from the individual components to the fully integrated
multi-science systems crosses many orders of magnitude in temporal and spatial
scales. The challenge is to study not only the fundamental processes on all these
separate scales, but also their mutual coupling through the scales in the overall
system, and the resulting emergent properties. These complex systems display endless
signatures of order, disorder, self-organization and self-annihilation.
Understanding, quantifying and handling this information complexity is one of the
biggest scientific challenges of our time. Amazingly nature seems to be able to
process information on many spatial scales simultaneously. DynaNets will study and
develop a new paradigm of computing through Dynamically Changing Complex Networks
reproducing the way nature processes information. It will develop theory and methods
of dynamical networks providing us with new insights into the underlying processes
of nature, economy, and society. As a pilot study we will investigate the dynamics
of the HIV and influenza epidemics from the molecule all the way up to the
population.

levels

 

DynaNets will study and develop a new paradigm of computing through Dynamically
Changing Complex Networks, reproducing the way nature processes information.

Objective O1: Achieving control by developing a theory of spreading in networks,
e.g. of infections and the transmission of drug resistance

Objective O2: Understanding real-world dynamically changing networks,
for example contact networks such as in HIV

Objective O3: Valorisation of theory in multiple application domains such as ecology and evolution

 

 

Highlights

This article is 'Highly accessed'  (total accesses to this article since publication: 1197) relative to age  in  BioMed Central:
Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam
Shan Mei, Rick Quax, David VAN de Vijver, Yifan Zhu and P.m.a. Sloot BMC Infectious Diseases, 11:118   (11 May 2011)

As of August 27, the most downloaded/accessed paper in BMC Systems Biology is: D. van Dijk et al.: Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks, BMC Systems Biology, vol. 4, nr 1 pp. 96+17. 2010.

This paper received the ICCS best paper award 2010:
N. Zarrabi et al.: Modeling HIV-1 intracellular replication,
Procedia Computer Science vol. 1, nr 1 pp. 555-564. Elsevier B.V., Amsterdam, May 2010.

Contact

Project Coordinator:
Prof. Dr P.M.A. Sloot
p.m.a.sloot@uva.nl

Project Management:
Dr. Isabelle Wartelle
i.d.s.wartelle@uva.nl

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real
Real networks are dynamic
 
EU
EU Grant Agreement Number: 233847
 

BONUS Grant Number: OMFB-00237/2010

 
FP7
FET Open
FET Open