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dc.contributor.authorde Castro, Leo
dc.contributor.authorLo, Andrew W
dc.contributor.authorReynolds, Taylor W
dc.contributor.authorSusan, Fransisca
dc.contributor.authorVaikuntanathan, Vinod
dc.contributor.authorWeitzner, Daniel J
dc.contributor.authorZhang, Nicolas
dc.date.accessioned2021-11-10T21:00:37Z
dc.date.available2021-10-27T20:22:39Z
dc.date.available2021-11-10T21:00:37Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/135255.2
dc.language.isoen
dc.publisherMIT Press - Journalsen_US
dc.relation.isversionof10.1162/99608F92.B4BB506Aen_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceHarvard Data Science Reviewen_US
dc.titleSCRAM: A Platform for Securely Measuring Cyber Risken_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentSloan School of Management. Laboratory for Financial Engineeringen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Centeren_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.relation.journalHarvard Data Science Reviewen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-03-19T13:48:45Z
dspace.orderedauthorsCastro, LD; Lo, AW; Reynolds, T; Susan, F; Vaikuntanathan, V; Weitzner, DJ; Zhang, Nen_US
dspace.date.submission2021-03-19T13:48:46Z
mit.licensePUBLISHER_CC
mit.metadata.statusPublication Information Neededen_US


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