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Reporting guidelines for simulation-based research in social sciences

Author(s)
Rahmandad, Hazhir; Sterman, John
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Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/
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Abstract
Reproducibility of research is critical for the healthy growth and accumulation of reliable knowledge, and simulation-based research is no exception. However, studies show many simulation-based studies in the social sciences are not reproducible. Better standards for documenting simulation models and reporting results are needed to enhance the reproducibility of simulation-based research in the social sciences. We provide an initial set of Reporting Guidelines for Simulation-based Research (RGSR) in the social sciences, with a focus on common scenarios in system dynamics research. We discuss these guidelines separately for reporting models, reporting simulation experiments, and reporting optimization results. The guidelines are further divided into minimum and preferred requirements, distinguishing between factors that are indispensable for reproduction of research and those that enhance transparency. We also provide a few guidelines for improved visualization of research to reduce the costs of reproduction. Suggestions for enhancing the adoption of these guidelines are discussed at the end.
Date issued
2012-10
URI
http://hdl.handle.net/1721.1/76300
Department
Sloan School of Management
Journal
System Dynamics Review
Publisher
Wiley-Blackwell Pubishers
Citation
Rahmandad, Hazhir, and John D. Sterman. “Reporting Guidelines for Simulation-based Research in Social Sciences.” System Dynamics Review 28.4 (2012): 396–411. Web.
Version: Author's final manuscript
ISSN
0883-7066
1099-1727

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