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Modeling Scientists as Agents. How Scientists Cope with the Challenges of the New Public Management of Science

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Abstract

The paper at hand applies agent-based modeling and simulations (ABMS) as a tool to reconstruct and to analyze how the science system works. A Luhmannian systems perspective is combined with a model of decision making of individual actors. Additionally, changes in the socio-political context of science, such as the introduction of „new public management", are considered as factors affecting the functionality of the system as well as the decisions of individual scientists (e.g. where to publish their papers). Computer simulation helps to understand the complex interplay of developments at the macro (system) and the micro (actor) level.

Suggested Citation

  • Marc Mölders & Robin D. Fink & Johannes Weyer, 2011. "Modeling Scientists as Agents. How Scientists Cope with the Challenges of the New Public Management of Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-6.
    • Handle: RePEc:jas:jasssj:2011-58-1
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    1. Clemens Kroneberg & Meir Yaish & Volker Stocké, 2010. "Norms and Rationality in Electoral Participation and in the Rescue of Jews in WWII," Rationality and Society, , vol. 22(1), pages 3-36, February.
    2. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
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    Cited by:

    1. Xin Gu & Karen Blackmore, 2017. "Characterisation of academic journals in the digital age," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1333-1350, March.

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