Description

Recently, there has been an increased interest in using behavioral experiments to study hypotheses on the governance of social-ecological systems. A diversity of software tools are used to implement such experiments. We evaluated various publicly available platforms that could be

Recently, there has been an increased interest in using behavioral experiments to study hypotheses on the governance of social-ecological systems. A diversity of software tools are used to implement such experiments. We evaluated various publicly available platforms that could be used in research and education on the governance of social-ecological systems. The aims of the various platforms are distinct, and this is noticeable in the differences in their user-friendliness and their adaptability to novel research questions. The more easily accessible platforms are useful for prototyping experiments and for educational purposes to illustrate theoretical concepts. To advance novel research aims, more elaborate programming experience is required to either implement an experiment from scratch or adjust existing experimental software. There is no ideal platform best suited for all possible use cases, but we have provided a menu of options and their associated trade-offs.

Reuse Permissions
  • Downloads
    PDF (2.3 MB)

    Details

    Title
    • Experimental Platforms for Behavioral Experiments on Social-Ecological Systems
    Date Created
    2013-11-30
    Resource Type
  • Text
  • Collections this item is in
    Identifier
    • Digital object identifier: 10.5751/ES-06895-190420
    • Identifier Type
      International standard serial number
      Identifier Value
      1708-3087

    Citation and reuse

    Cite this item

    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    Janssen, M. A., A. Lee, and T. M. Waring. 2014. Experimental platforms for behavioral experiments on social-ecological systems. Ecology and Society 19(4): 20. http://dx.doi.org/10.5751/ES-06895-190420

    Machine-readable links