{"id":1284,"date":"2018-03-25T15:45:37","date_gmt":"2018-03-25T15:45:37","guid":{"rendered":"http:\/\/mitmgmtfaculty.mit.edu\/jsterman\/?page_id=1284"},"modified":"2018-04-05T13:29:09","modified_gmt":"2018-04-05T13:29:09","slug":"reportingguidelines","status":"publish","type":"page","link":"https:\/\/mitmgmtfaculty.mit.edu\/jsterman\/reportingguidelines\/","title":{"rendered":""},"content":{"rendered":"

Reporting Guidelines for Simulation-based Research in Social Sciences<\/h2>
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Rahmandad, H. and John Sterman (2012). Reporting Guidelines for Simulation-based Research in Social Sciences. System Dynamics Review.\u00a0\u00a0<\/p>\n

DOI:\u00a0http:\/\/dx.doi.org\/10.1002\/sdr.1481<\/p>\n

Abstract<\/strong> <\/p>\n

Reproducibility of research is critical for the healthy growth and accumulation of reliable knowledge, and simulation-based research is no exception.\u00a0 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 standards are discussed at the end.<\/p>\n