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A Best Practices Case Study for Scientific Collaboration between Researchers and Managers
Author(s) -
Newcomb Tammy J.,
Simonin Paul W.,
Martinez Felix A.,
Chadderton W. Lindsay,
Bossenbroek Jon M.,
Cudmore Becky,
Hoff Michael H.,
Keller Reuben P.,
Ridenhour Berkley D.,
Rothlisberger John D.,
Rutherford Edward S.,
Van Egeren Scott,
Lodge David M.
Publication year - 2021
Publication title -
fisheries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.725
H-Index - 79
eISSN - 1548-8446
pISSN - 0363-2415
DOI - 10.1002/fsh.10536
Subject(s) - bridging (networking) , business , best practice , public relations , process (computing) , variety (cybernetics) , government (linguistics) , knowledge management , agency (philosophy) , project team , process management , environmental resource management , political science , computer science , sociology , computer network , social science , linguistics , philosophy , environmental science , artificial intelligence , law , operating system
Effective engagement among scientists, government agency staff, and policymakers is necessary for solving fisheries challenges, but remains challenging for a variety of reasons. We present seven practices learned from a collaborative project focused on invasive species in the Great Lakes region (USA‐CAN). These practices were based on a researcher–manager model composed of a research team, a management advisory board, and a bridging organization. We suggest this type of system functions well when (1) the management advisory board is provided compelling rationale for engagement; (2) the process uses key individuals as communicators; (3) the research team thoughtfully selects organizations and individuals involved; (4) the funding entity provides logistical support and allows for (5) a flexible structure that prioritizes management needs; (6) a bridging organization sustains communication between in‐person meetings; and (7) the project team determines and enacts a project endpoint. We predict these approaches apply equally effectively to other challenges at the research–management–policy interface, including reductions of water pollution, transitions to renewable energy, increasing food security, and addressing climate change.