The NEMO partners were

  • Austrian Institute of Technology GmbH, Foresight & Policy Development Department (AIT-FPD);
  • Vienna University of Technology, Institute of Discrete Mathematics and Geometry (TU Wien);
  • Universidade da Madeira, Centro de Ciências Matemáticas – CCM (UMa);
  • University of Bielefeld, Department of Physics/Research Center BiBoS (UniBi);
  • Maastricht University, UNU-MERIT (MERIT);
  • Université du Luxembourg, Faculty of Law, Economics and Finance (UniLu);
  • University of Bremen, Economics Department (UniHB);
  • University College, Dublin, UCD Innovation Research Unit (IRU); and
  • University of Surrey, Centre for Research on Social Simulation (UniS)

NEMO took a new, multidisciplinary approach to analysing the structure and function of R&D collaboration networks. Appraising desirable network structures for knowledge creation and transfer, as well as investigating the political governance of these networks, enables more effective networks in future research programmes – vital for creating the backbone of the European Research Area and for improving the performance of EU science and industry.


Analysis in NEMO rested on two main pillars: empirical research and modelling. A key asset of the project were large-scale empirical datasets of R&D collaboration in the Framework Programmes constructed from the sysres EUPRO database, in which global and local structural properties of static and dynamic (sub-) networks were identified. How the structure and performance of R&D collaboration networks dynamically interact was investigated using different modelling techniques – generalised epidemic models, multi-agent models of network dynamics, and complex random graph models – whereby a precise mathematical foundation of the key model classes was developed.

An empirically-informed agent-based model was developed, which simulates the policy-driven evolution of European R&D collaborative networks as they have emerged from the governance rules of the EU Framework Programmes 1-7.

The NEMO agent-based model called “Simulating Knowledge Dynamics in EU-funded Innovation Networks” (SKEIN) builds on the SKIN model implementing research organisations as agents who follow rule-sets stemming from the Commission's Framework Programmes.

Work on the agent-based NEMO model based on SKIN can be broken down into the following steps:

  • input for the adaptations from SKIN to SKEIN
  • a study on knowledge dynamics in R&D project networks
  • finding and implementing the rule-sets for the NEMO agent-based model
  • a qualitative text database on EU governance rules of FP 1-7 (EURuleD Archive),
  • an interview study with EU policymakers on formal and informal rules of the FPs,
  • an in-depth empirical case study on consortium formation in EU projects,
  • a computational user interface between EURuleD Archive and SKEIN,
  • an agent-based control model based on SKIN concerning university-industry collaboration networks (Ahrweiler, P., A. Pyka and N. Gilbert (forthcoming)),
  • the agent-based NEMO model SKEIN (Scholz, R., T. Nokkala, P. Ahrweiler, A. Pyka and N. Gilbert (2010)

For further information on the NEMO project please see