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Organisation
Network models, governance, and R&D collaboration networks
01.09.2006 - 30.11.2009
Forschungsförderungsprojekt
The objective of NEMO is to investigate the interplay between political governance, structure and function of politically induced R&D collaboration networks, in particular the networks that have emerged in the European Framework Programmes. The ultimate goal is to identify ways to create and to appraise desirable ('optimal') network structures for typical functions of such R&D collaboration networks (e.g. knowledge creation, transfer and (distribution). This will aid policymakers at all political levels in improving the effectiveness and efficiency of network-based policy instruments at promoting the knowledge economy in Europe. Assembling leading researchers from mathematics, physics, economics and sociology in a single project, we will explore modelling strategies to create new theoretical frameworks, building blocks and classes of models. To this end, solid mathematical foundations will be provided for the class of models developed in this project. Theoretical results will be validated via two comprehensive empirical data sets and networks generated by multi-agent simulation. The empirical analyses will yield detailed knowledge on the structural properties of the R&D collaboration networks that have emerged in the EU Framework Programmes. Desirable network structures will be identified and new quantitative methods for evaluating the governance of network based instruments will be developed.
Personen
Projektleiter_in
Michael Drmota
(E104)
Projektmitarbeiter_innen
Matthias Dehmer
(E104)
Bernhard Gittenberger
(E104)
Reinhard Kutzelnigg
(E104)
Alois Panholzer
(E104)
Institut
E104 - Institute of Discrete Mathematics and Geometry
Grant funds
European Commission (EU)
6.FP: CITIZENS - Citizens and governance in a knowledge-based society
6.Rahmenprogramm für Forschung
European Commission - Framework Programme
European Commission
Call identifier FP6-2004-NEST-C1
Application number 288875
Forschungsschwerpunkte
Mathematical and Algorithmic Foundations: 100%
Schlagwörter
Deutsch
Englisch
Netzwerk
Network
Graphentheorie
graph theory
Externe Partner_innen
Seibersdorf Labor GmbH
University of Surrey
Univesität Maastricht
Universität Bielefeld
Universität Augsburg
Universidade da Madeira
Universität Luxemburg
Univesität Hamburg
Publikationen
Publikationsliste