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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Even better, if we can explore variations of different models in real time in a workshop setting, the shared understanding that develops among participants is likely to lead to better products, and higher investment in using those products to inform decisions [195,196].”
From Circuitscape in julia: empowering dynamic approaches to connectivity assessment (2021) · cites this paper as [195]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Social Capital: Prospects for a New Concept
Adler, P. S., & Kwon, S.-W. (2002) · The Academy of Management Review · doi:10.2307/4134367 · Cited by 9,665
Knowledge systems for sustainable development
Cash, D. W., Clark, W. C., Alcock, F., Dickson, N. M., Eckley, N., Guston, D. H., Jäger, J., & Mitchell, R. B. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1231332100 · Cited by 3,660
The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer
Levin, D. Z., & Cross, R. (2004) · Management Science · doi:10.1287/mnsc.1030.0136 · Cited by 2,734
Boundary Organizations in Environmental Policy and Science: An Introduction
Guston, D. H. (2001) · Science Technology & Human Values · doi:10.1177/016224390102600401 · Cited by 1,544
Scenario Planning: a Tool for Conservation in an Uncertain World
Peterson, G., Cumming, G. S., & Carpenter, S. R. (2003) · Conservation Biology · doi:10.1046/j.1523-1739.2003.01491.x · Cited by 1,449
Entering the Century of the Environment: A New Social Contract for Science
Lubchenco, J. (1998) · Science · doi:10.1126/science.279.5350.491 · Cited by 1,315
How science makes environmental controversies worse
Sarewitz, D. (2004) · Environmental Science & Policy · doi:10.1016/j.envsci.2004.06.001 · Cited by 1,194
Narrowing the climate information usability gap
Lemos, M. C., Kirchhoff, C. J., & Ramprasad, V. (2012) · Nature Climate Change · doi:10.1038/nclimate1614 · Cited by 1,041
McNie, E. (2006) · Environmental Science & Policy · doi:10.1016/j.envsci.2006.10.004 · Cited by 913
Self-citationThe co-production of science and policy in integrated climate assessments
Lemos, M. C., & Morehouse, B. J. (2005) · Global Environmental Change · doi:10.1016/j.gloenvcha.2004.09.004 · Cited by 905
Research works printed but not linked: 6
- 10.5465/amr.2002.5922314 · DOI · Paper page
- National Research Council, 1999, Our common journey: a transition towards sustainability
- National Research Council, 2005, Thinking strategically: the appropriate use of metrics for the climate change science program
- Taylor‐Powell E, 2008, Developing a logic model: teaching and training guide, Benefits, 3, 22
- Wall TU, 2015, Planning in the Great Basin region: considering climate change impacts and management strategies for the future
- Williams BK, 2009, Adaptive management: the US Department of the Interior technical guide. Adaptive Management Working Group
Cited by
Foundations of translational ecology
Enquist, C. A., Jackson, S. T., Garfin, G. M., Davis, F. W., Gerber, L. R., Littell, J. A., Tank, J. L., Terando, A. J., Wall, T. U., Halpern, B., et al. (2017) · Frontiers in Ecology and the Environment · doi:10.1002/fee.1733 · Cited by 273
Self-citationCircuitscape in julia: empowering dynamic approaches to connectivity assessment
Hall, K. R., Anantharaman, R., Landau, V. A., Clark, M., Dickson, B. G., Jones, A., Platt, J., Edelman, A., & Shah, V. B. (2021) · Land · doi:10.3390/land10030301 · Cited by 115
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
- 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)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Use‐inspired science: making science usable by and useful to decision makers. https://app.cochat.ai/papers/10.1002/fee.1735
- The paper
- Wall, T. U., McNie, E., & Garfin, G. M. (2017). Use‐inspired science: making science usable by and useful to decision makers. Frontiers in Ecology and the Environment. https://doi.org/10.1002/fee.1735
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
