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dc.contributor.authorOwen, Gigi
dc.contributor.authorFerguson, Daniel B.
dc.contributor.authorMcMahan, Ben
dc.date.accessioned2020-02-05T18:05:16Z
dc.date.available2020-02-05T18:05:16Z
dc.date.issued2019-06-04
dc.identifier.citationOwen, G., Ferguson, D.B. & McMahan, B. Contextualizing climate science: applying social learning systems theory to knowledge production, climate services, and use-inspired research. Climatic Change 157, 151–170 (2019). https://doi.org/10.1007/s10584-019-02466-xen_US
dc.identifier.issn0165-0009
dc.identifier.doi10.1007/s10584-019-02466-x
dc.identifier.urihttp://hdl.handle.net/10150/636950
dc.description.abstractScientists need to acknowledge the inherent social contexts that drive the scientific process if they want their research to improve complex societal problems such as vulnerability to climate change. Social interactions and relationships are essential elements for conducting use-inspired research, creating usable knowledge, and providing climate services. The Climate Assessment for the Southwest (CLIMAS) program was founded on theories of use-inspired research and co-producing knowledge with non-academic partners. A recent program evaluation illuminated gaps in these underlying program models and led to the inclusion of social learning systems theory and communities of practice. Using grounded examples, we demonstrate the CLIMAS program's ongoing role in fostering, maintaining, and expanding a climate resilience social learning system in the U.S. Southwest. Broader implications from the evaluation focus on the importance of establishing and maintaining relationships, increasing institutional and individual flexibility in response to change, and improving the practice of transdisciplinarity. These findings inform new program evaluation metrics and data collection techniques. This paper contributes to current theory and practice of use-inspired science and climate services by identifying and demonstrating how social interactions inform climate knowledge production. The reconceptualization of the CLIMAS program as part of a growing regional social learning system serves as an example for similar types of programs. We encourage climate services and use-inspired research programs to explore applications of this framework to their own operations.en_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.rightsCopyright © Springer Nature B.V. 2019.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectSocial learning systemsen_US
dc.subjectCommunities of practiceen_US
dc.subjectClimate servicesen_US
dc.subjectUse-inspired researchen_US
dc.subjectEvaluationen_US
dc.titleContextualizing climate science: applying social learning systems theory to knowledge production, climate services, and use-inspired researchen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Inst Environm, Climate Assessment Southwesten_US
dc.identifier.journalCLIMATIC CHANGEen_US
dc.description.note12 month embargo; published online: 4 June 2019en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.identifier.pii2466
dc.source.journaltitleClimatic Change
dc.source.volume157
dc.source.issue1
dc.source.beginpage151
dc.source.endpage170


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