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dc.contributor.authorNestler, Scott
dc.date.accessioned2016-02-12T19:09:57Z
dc.date.available2016-02-12T19:09:57Z
dc.date.issued2011-10
dc.identifier.citationOR/MS Today, October 2011, pp.22-28en_US
dc.identifier.urihttp://hdl.handle.net/10945/47788
dc.description.abstractBuried in the middle of physician-author Michael Crichton's quote about the place (or lack thereof) of consensus in science, is an alliteration - reproducible results - that he claims (and I suspect most would agree) is relevant to science [1]. The traditional meaning of reproducible results addresses the verification of a scientific experiment by other researchers using an independent experiment. However, computational science poses new challenges to the scientific tradition [2]. Science often proceeds by iterative refinements where the works themselves (Le., the explicit computations) are seldom published, and it is difficult for others to refine or improve them [3]. As expressed by the Yale law School Roundtable on Data and Code Sharing, "Generating verifiable knowledge has long been scientific discovery's central goal, yet today it's impossible to verify most of the computational results that scientists present at conferences and in papers."en_US
dc.format.extent6 p.en_US
dc.publisherOperations Research Society of Americaen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleReproducible (operations) researchen_US
dc.typeArticleen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)en_US
dc.contributor.departmentOperations Researchen_US


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