Gargani, JohnMcLean, Robert2017-10-302017-10-302017Gargani, J., & McLean, R. (2017). Scaling science. Stanford Social Innovation Review, 15(4), 34-39.1542-7099http://hdl.handle.net/10625/56727The 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.application/pdfenSCIENCEINNOVATIONSOCIAL PROGRESSGLOBAL SOUTHPUBLIC GOODSCALING UPTHEORY OF CHANGEIMPACT ASSESSMENTPROGRAMME PLANNINGINNOVATION SYSTEMSEBOLA OUTBREAKJournal Article (peer-reviewed)