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Cited by 120

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Use‐inspired science: making science usable by and useful to decision makers

Wall, Tamara U, McNie, Elizabeth, Garfin, Gregg M·2017·Frontiers in Ecology and the Environment
DOI 10.1002/fee.1735
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Abstract

A growing body of research in translational science provides a foundation for translational ecologists to consider the practices that show the most promise, as well as the potential pitfalls of those practices. These research approaches (eg user‐inspired climate science) require deliberate engagement with end users, and an understanding of the social and cultural contexts in which a research project functions. We examine the climate science translation literature (looking at how research can inform decision making) to identify key issues related to how the social sciences have helped guide researchers engaged in user‐inspired research. We focus on understanding the more intangible inputs to research projects, including the social and cultural contexts; stakeholder engagement; the role of social capital; and evaluating the outputs, outcomes, and impacts of translational science projects and initiatives. Research on return‐on‐investment metrics for translational science is increasingly pointing to the conclusion that intentional, structured processes, such as those found in translational sciences, boost the likelihood of science being successfully incorporated into environmental decision making and policy.

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Research works printed but not linked: 6

  1. 10.5465/amr.2002.5922314 · DOI · Paper page
  2. National Research Council, 1999, Our common journey: a transition towards sustainability
  3. National Research Council, 2005, Thinking strategically: the appropriate use of metrics for the climate change science program
  4. Taylor‐Powell E, 2008, Developing a logic model: teaching and training guide, Benefits, 3, 22
  5. Wall TU, 2015, Planning in the Great Basin region: considering climate change impacts and management strategies for the future
  6. Williams BK, 2009, Adaptive management: the US Department of the Interior technical guide. Adaptive Management Working Group

Cited by

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Metadata

Authors
Wall, T. U., McNie, E., & Garfin, G. M.
Affiliations
  • Division of Atmospheric Sciences Desert Research Institute Reno NV
  • Western Water Assessment Cooperative Institute for Research in Environmental Sciences University of Colorado at Boulder Boulder CO
  • School of Natural Resources and the Environment University of Arizona Tucson AZ
Venue
Frontiers in Ecology and the Environment
Publisher
Wiley
Published
2017-12
Volume
15
Issue
10
Pages
551-559
ISSN
  • 1540-9295
  • 1540-9309
DOI
10.1002/fee.1735
Cited by
120
References
33
Language
en
Licence
Funders
  • U.S. Geological Survey
  • University of Arizona
  • Desert Research Institute (NA11OAR4310150)
  • National Oceanic and Atmospheric Administration (NA07OAR4310382, NA12OAR4310124)

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