SKIN - Simulating Knowledge Dynamics in Innovation Networks

SKIN is an agent-based model to simulate the behaviour of innovation networks in complex social systems.

Simulating Knowledge Dynamics in Innovation Networks: 2nd workshop

31st May - 1st June, 2012

University of Koblenz-Landau, Koblenz, Germany

The presentations from this workshop are now available here

(you must register and login before you can access them)

Learning about innovation processes and networks

Using conceptual models based on robust empirical studies, SKIN is the ideal platform for learning about different processes for creating, transferring and distributing knowledge, collaborating for innovation, models of innovation networks and governance of these processes, collaborations and networks. Read more...

Applying ABM to real-world policy contexts

Developed in European studies with case studies in different technological and institutional contexts, SKIN is one of the leading platforms for applying agent-based modelling (ABM) to innovation networks found in a variety of different, real world contexts.

Combining innovation research methods

Add SKIN to the innovation policy-making toolbox. The mix of traditional analytical methods and the powerful SKIN approach, combining robust empirical studies, computational network analysis and ABM, allows for cross-fertilization between disciplines.

Testing innovation policies in advance

Test policy to have the best chance of achieving the desired effect. SKIN allows policy- and decision-makers to test their ideas and initiatives in advance. They can identify possible scenarios changing the structure of innovation networks and examine the unexpected effects.