Calibrating an Agent-Based Model: The case of the Vienna Biotech Innovation System

Manuela Korber (Vortragende:r)

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

This paper aims at calibrating an agent-based model of the Vienna biotech system, created to analyze the dynamic effects of public RTI funding (Research, Technology and Innovation) on its innovative performance. The model comprises heterogeneous agents representing universities, companies and research organizations that are linked through various forms of R&D (Research and Development) collaboration. The agents have different knowledge endowments which are the basis for knowledge creation in the system. In the biotech innovation system, knowledge exchange occurs among the agents and with extra-regional sources, and is triggered by direct, indirect and institutional government funds. The innovation output is measured in terms of patents and publications at the agent-level, while agents also contribute to the number of high-tech jobs in the region, a system-level performance indicator. The model is intended as a tool for policy makers to elaborate different public RTI funding mixes and allows testing concrete funding alternatives. The fine-grained empirical calibration is intended to improve the credibility of the model in this application context. Thus, this model expands existing agent-based models of innovation in the biotech sector that focus primarily on qualitative aspects of agent behaviour.
OriginalspracheEnglisch
Titelhttp://www.dime-eu.org/emaee-2011
PublikationsstatusVeröffentlicht - 2011
VeranstaltungEMAEE - 7th European Meeting on Applied Evolutionary Economics "Evolutionary Perspectives on Technical Change and Industrial Dynamics" -
Dauer: 14 Feb. 201116 Feb. 2011

Konferenz

KonferenzEMAEE - 7th European Meeting on Applied Evolutionary Economics "Evolutionary Perspectives on Technical Change and Industrial Dynamics"
Zeitraum14/02/1116/02/11

Research Field

  • Ehemaliges Research Field - Innovation Systems and Policy

Schlagwörter

  • Agent-based modelling
  • sectoral innovation systems
  • empirical calibration
  • empirical validation
  • complexity
  • biotechnology

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