Scaling science
Date
2017
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Publisher
Stanford University
Abstract
The 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.
Description
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Journal Article (peer-reviewed)
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Keywords
SCIENCE, INNOVATION, SOCIAL PROGRESS, GLOBAL SOUTH, PUBLIC GOOD, SCALING UP, THEORY OF CHANGE, IMPACT ASSESSMENT, PROGRAMME PLANNING, INNOVATION SYSTEMS, EBOLA OUTBREAK
Citation
Gargani, J., & McLean, R. (2017). Scaling science. Stanford Social Innovation Review, 15(4), 34-39.