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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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Published in: | Society & natural resources 2017-09, Vol.30 (9), p.1158-1167 |
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container_title | Society & natural resources |
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creator | Morisette, Jeffrey T. Cravens, Amanda E. Miller, Brian W. Talbert, Marian Talbert, Colin Jarnevich, Catherine Fink, Michelle Decker, Karin Odell, Eric A. |
description | 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. |
doi_str_mv | 10.1080/08941920.2017.1290178 |
format | article |
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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.</description><subject>Boundaries</subject><subject>Boundary object</subject><subject>boundary organization</subject><subject>Case studies</subject><subject>Climate change</subject><subject>climate science centers</subject><subject>co-production</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Collaboration</subject><subject>Geological surveys</subject><subject>Knowledge management</subject><subject>Modelling</subject><subject>participatory modeling</subject><subject>Polls & surveys</subject><subject>Production</subject><subject>Projections</subject><subject>Scientists</subject><subject>Social processes</subject><subject>Visualization</subject><subject>Wildlife</subject><issn>0894-1920</issn><issn>1521-0723</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>8BJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNp9kMtOwzAQRS0EEqXwCUiRWKfM-NHYOyDiJRWxAbG0XNtBLmlc7BTUvydRYcvqbs7cmTmEnCPMECRcglQcFYUZBaxmSNUQ8oBMUFAsoaLskExGphyhY3KS8woAmOR0QlSdYs6hey9u4rZzJgWfi9AVpqhj25plTKYPX754is63I_YW00feGOtPyVFj2uzPfnNKXu9uX-qHcvF8_1hfL0rLmOzLBpVagnVCeO7RISAyO1fCWaikAGRgnOBNNZxdzTlyJZYDo7x33HsBlE3Jxb53k-Ln1uder-I2dcNKjYoxNZdCiYESe8qO_yTf6E0Ka5N2GkGPlvSfJT1a0r-Whrmr_VzompjW5jum1une7NqYmmQ6G7Jm_1f8AMuObDI</recordid><startdate>20170902</startdate><enddate>20170902</enddate><creator>Morisette, Jeffrey T.</creator><creator>Cravens, Amanda E.</creator><creator>Miller, Brian W.</creator><creator>Talbert, Marian</creator><creator>Talbert, Colin</creator><creator>Jarnevich, Catherine</creator><creator>Fink, Michelle</creator><creator>Decker, Karin</creator><creator>Odell, Eric A.</creator><general>Routledge</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TQ</scope><scope>7U4</scope><scope>8BJ</scope><scope>BHHNA</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>DWI</scope><scope>FQK</scope><scope>JBE</scope><scope>SOI</scope><scope>WZK</scope><orcidid>https://orcid.org/0000-0002-0271-7967</orcidid><orcidid>https://orcid.org/0000-0003-1716-1161</orcidid></search><sort><creationdate>20170902</creationdate><title>Crossing Boundaries in a Collaborative Modeling Workspace</title><author>Morisette, Jeffrey T. ; 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source | International Bibliography of the Social Sciences (IBSS); Taylor and Francis Science and Technology Collection; PAIS Index; Sociological Abstracts |
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 |
title | Crossing Boundaries in a Collaborative Modeling Workspace |
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