Crossing Boundaries in a Collaborative Modeling Workspace

There is substantial literature on the importance of bridging across disciplinary and science-management boundaries. One of the ways commonly suggested to cross boundaries is for participants from both sides of the boundary to jointly produce information (i.e., knowledge co-production). But simply p...

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Bibliographic Details
Published in:Society & natural resources 2017-09, Vol.30 (9), p.1158-1167
Main Authors: Morisette, Jeffrey T., Cravens, Amanda E., Miller, Brian W., Talbert, Marian, Talbert, Colin, Jarnevich, Catherine, Fink, Michelle, Decker, Karin, Odell, Eric A.
Format: Article
Language:English
Subjects:
Boundaries
Boundary object
boundary organization
Case studies
Climate change
climate science centers
co-production
Cognition
Cognitive ability
Collaboration
Geological surveys
Knowledge management
Modelling
participatory modeling
Polls & surveys
Production
Projections
Scientists
Social processes
Visualization
Wildlife
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Summary:There is substantial literature on the importance of bridging across disciplinary and science-management boundaries. One of the ways commonly suggested to cross boundaries is for participants from both sides of the boundary to jointly produce information (i.e., knowledge co-production). But simply providing tools or bringing people together in the same room is not sufficient. Here we present a case study documenting the mechanisms by which managers and scientists collaborated to incorporate climate change projections into Colorado's State Wildlife Action Plan. A critical component of the project was the use of a collaborative modeling and visualization workspace: the U.S. Geological Survey's Resource for Advanced Modeling (RAM). Using video analysis and pre/post surveys from this case study, we examine how the RAM facilitated cognitive and social processes that co-produced a more salient and credible end product. This case provides practical suggestions to scientists and practitioners who want to implement actionable science.
ISSN:0894-1920
1521-0723
DOI:10.1080/08941920.2017.1290178