Abstract
This paper presents an approach for designing and building a computational laboratory for research and innovation policy simulation, centred around the SKIN model. The aim of the paper is to bring together empirical and computational research for policy use. The SKIN model will be embedded in a workflow and an interfacing infrastructure that supports rich user interaction with the lab’s simulation database.
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Notes
- 1.
During the course of the INFSO-SKIN study where we worked with a large database, which was pre-structured into six Calls of FP7, the study team (Nigel Gilbert, Andreas Pyka, Michel Schilperoord, Petra Ahrweiler) started to develop a “multi-calibration/validation” strategy, where the model was supposed to match the network configuration at the end of each Call and start again with the network configuration of the next. This not only gave six points for assessing the calibration/validation performance instead of the usual one, but also provided an opportunity for model learning and fine-tuning. This strategy can be always used when empirical databases are divided into sections containing enough information about time and interim states. The idea could not be followed up systematically at that time, but seems worthwhile to pursue in future work.
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Acknowledgment
We gratefully acknowledge the financial support from the Irish Government’s Programme for Research in Third Level Institutions (PRTLI 5) project grant entitled ‘Innovation Policy Simulation for the Smart Economy (IPSE)’.
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Schilperoord, M., Ahrweiler, P. (2014). Towards a Prototype Policy Laboratory for Simulating Innovation Networks. In: Gilbert, N., Ahrweiler, P., Pyka, A. (eds) Simulating Knowledge Dynamics in Innovation Networks. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43508-3_8
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