A session organised by the ESSA Special Interest Group (SIG) “Policy Modelling“
Since its prototype in 2001, the agent-based SKIN model (short for Simulating Knowledge Dynamics in Innovation Networks) has been developed to become a platform with many modules and applications, and has been adopted in a number of science and technology policy modelling studies. Some applications are presented on the model’s webpage (http://cress.soc.surrey.ac.uk/SKIN/home) and in the recent textbooks on the model from 2014 and 2016.
SKIN agents represent knowledge-intensive organisations such as universities, research centres, small and medium enterprises, large multinational corporations etc. and exhibit the empirically observed behaviour and interaction of such actors in research and innovation systems. Agents are located in changing and complex social environments where their research and innovation performance under certain policies can be observed and evaluated. Usually, a SKIN application has agents interacting on the knowledge level and the social level and both levels are interconnected. SKIN is all about knowledge and networks.
This session invites papers presenting SKIN-based models, or models inspired by SKIN – be it positively or negatively. The session will provide specific opportunities for early career researchers who have already started on a simulation project in the area of simulating knowledge dynamics and who want to discuss their work.