Scaling science

dc.contributor.authorGargani, John
dc.contributor.authorMcLean, Robert
dc.date.accessioned2017-10-30T12:47:49Z
dc.date.available2017-10-30T12:47:49Z
dc.date.issued2017
dc.description.abstractThe traditional approach to delivering interventions at scale starts with the assumptions of reliable solutions in favorable contexts. In the case of the Ebola outbreak in 2014, these assumptions were useless. Like the Ebola crisis, many of the most pressing problems are ones that have been unsolvable perhaps for decades. This paper focuses on the mechanisms of scaling up which take into account issues of uncertainty. As an alternative to industrial scaling, a more comprehensive approach focuses on the additional objective of the public good. Scaling science is built on these four guiding principles: moral justification, inclusive coordination, optimal scale, and dynamic evaluation.en
dc.format.mimetypeapplication/pdf
dc.identifier.citationGargani, J., & McLean, R. (2017). Scaling science. Stanford Social Innovation Review, 15(4), 34-39.en
dc.identifier.issn1542-7099
dc.identifier.urihttp://hdl.handle.net/10625/56727
dc.language.isoen
dc.publisherStanford Universityen
dc.relation.journalStanford Social Innovation Review
dc.subjectSCIENCEen
dc.subjectINNOVATIONen
dc.subjectSOCIAL PROGRESSen
dc.subjectGLOBAL SOUTHen
dc.subjectPUBLIC GOODen
dc.subjectSCALING UPen
dc.subjectTHEORY OF CHANGEen
dc.subjectIMPACT ASSESSMENTen
dc.subjectPROGRAMME PLANNINGen
dc.subjectINNOVATION SYSTEMSen
dc.subjectEBOLA OUTBREAKen
dc.titleScaling scienceen
dc.typeJournal Article (peer-reviewed)en
idrc.copyright.holderLeland Stanford Jr. University
idrc.copyright.oareleasedocrecordsserverdocnumberIC11-383107257-190
idrc.dspace.accessOpen Accessen
idrc.recordsserver.bcsnumberIC06-142367426-309
idrc.rims.adhocgroupIDRC SUPPORTEDen

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