Lessons learned replicating the analysis of outputs from a social simulation of biodiversity incentivisation

Gary Polhill, Lorenzo Milazzo, Terry Dawson, Alessandro Gimona, Dawn Parker

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    This chapter reports on an exercise in replicating the analysis of outputs from 20,000 runs of a social simulation of biodiversity incentivisation (FEARLUS-SPOMM) as part of the MIRACLE project. Typically, replication refers to reconstructing the model used to generate the output from the description thereof, but for larger-scale studies, the output analysis itself may be difficult to replicate even when given the original output files. Tools for analysing simulation output data do not facilitate keeping records of what can be a lengthy and complicated process. We provide an outline design for a tool to address this issue, and make some recommendations based on the experience with this exercise.

    Original languageEnglish
    Title of host publicationAdvances in Social Simulation 2015
    PublisherSpringer Verlag
    Pages355-365
    Number of pages11
    Volume528
    ISBN (Print)9783319472522
    DOIs
    Publication statusPublished - Mar 2017

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume528
    ISSN (Print)21945357

    Keywords

    • Analysis
    • Metadata
    • Social simulation outputs

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