Transparency in Computational Science Stodden Victoria C. author Columbia University. Statistics Columbia University. Statistics originator text Presentations 2012 The central motivation for the scientific method is to root out error: Computational science as practiced today does not generate reliable knowledge. This presentation looks at four possible solutions to the issues of transparency in computational science. Presented at the Biostatistics Seminar, University of Wisconsin-Madison, Nov 16, 2012. Technical Communication Computer Science </titleInfo> </relatedItem> <relatedItem> <location> <url/> </location> </relatedItem> <identifier type="hdl">http://hdl.handle.net/10022/AC:P:15360</identifier> <language> <languageTerm type="text">English</languageTerm> </language> <location> <physicalLocation authority="marcorg">NNC</physicalLocation> </location> <recordInfo> <recordContentSource authority="marcorg">NNC</recordContentSource> <recordCreationDate encoding="w3cdtf">2012-11-27 14:16:44 -0500</recordCreationDate> <recordChangeDate encoding="w3cdtf">2012-11-27 14:48:55 -0500</recordChangeDate> <recordIdentifier>9363</recordIdentifier> <languageOfCataloging> <languageTerm authority="iso639-2b">eng</languageTerm> </languageOfCataloging> </recordInfo> </mods>