The neglected heart of science policy: reconciling supply of and demand for science

By D. Sarewitz, Roger A. Pielke Sr.. 2007

630 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e5c83948017d6510d12c4620504d75551afeb359

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In Economics and Econometrics

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Citations in the corpus

Science, Policy, and Species at Risk in Canada (2010, background): “However, it is necessary to understand and delineate the essential role of science in the policymaking realm to foster a constructive dialogue between competing interests and agendas (Sarewitz and Pielke 2007) and to form effective environmental policy (Martín-López et al. 2009).”
Reconciling the supply of scientific information with user demands: an analysis of the problem and review of the literature (2007, background): “By concentrating efforts on increasing the supply of scientific information, scientists may not be producing information considered relevant and useful by decision makers, and may simply be producing too much of the wrong kind of information.”
Realising the full potential of citizen science monitoring programs (2013, background): “…59 60 61 62 63 64 65 14 resources and time yet achieve very little, resulting in inadequate datasets that fail to inform decisions (McNie 430 2007; Sarewitz and Pielkejr 2007), and might be used for the wrong purposes if they create the illusion that 431 sufficient monitoring has been carried out…”
Creating usable science: Opportunities and constraints for climate knowledge use and their implications for science policy (2011, background): “We further suggest usability is most effectively pursued through deliberate science policy design and implementation, or ‘‘reconciling supply and demand,’’ as needs for information are often not well met through the independent production of scientific knowledge alone (Sarewitz and Pielke, 2007).”
Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management (2008, background): “…policy serve different purposes (Lee, 1993), scientists and decision makers typically maintain different values, interests, concerns, and perspectives and, more importantly, tend to lack a mutual understanding of each other's knowledge systems (Jacobs, 2002; McNie, 2007; Sarewitz and Pielke, 2007).”