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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