SKIN - Simulating Knowledge Dynamics in Innovation Networks
SKIN is an agent-based model to simulate the behaviour of innovation networks in complex social systems
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.