Designing a solution to enable agency-academic scientific collaboration for disasters

ABSTRACT. As large-scale environmental disasters become increasingly frequent and more severe globally, people and organizations that prepare for and respond to these crises need efficient and effective ways to integrate sound science into their decision making. Experience has shown that integrating...

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Bibliographische Detailangaben
Veröffentlicht in:Ecology and Society. - Resilience Alliance Inc.. - 22(2017), 2
1. Verfasser: Mease, Lindley A. (VerfasserIn)
Weitere Verfasser: Gibbs-Plessl, Theodora, Erickson, Ashley L., Ludwig, Kristin A., Reddy, Christopher M., Lubchenco, Jane
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2017
Zugriff auf das übergeordnete Werk:Ecology and Society
Schlagworte:Deepwater Horizon disaster response human-centered design scientific collaboration systems analysis Arts Health sciences Applied sciences Political science Behavioral sciences mehr... Biological sciences Economics
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520 |a ABSTRACT. As large-scale environmental disasters become increasingly frequent and more severe globally, people and organizations that prepare for and respond to these crises need efficient and effective ways to integrate sound science into their decision making. Experience has shown that integrating nongovernmental scientific expertise into disaster decision making can improve the quality of the response, and is most effective if the integration occurs before, during, and after a crisis, not just during a crisis. However, collaboration between academic, government, and industry scientists, decision makers, and responders is frequently difficult because of cultural differences, misaligned incentives, time pressures, and legal constraints. Our study addressed this challenge by using the Deep Change Method, a design methodology developed by Stanford ChangeLabs, which combines human-centered design, systems analysis, and behavioral psychology. We investigated underlying needs and motivations of government agency staff and academic scientists, mapped the root causes underlying the relationship failures between these two communities based on their experiences, and identified leverage points for shifting deeply rooted perceptions that impede collaboration. We found that building trust and creating mutual value between multiple stakeholders before crises occur is likely to increase the effectiveness of problem solving. We propose a solution, the Science Action Network, which is designed to address barriers to scientific collaboration by providing new mechanisms to build and improve trust and communication between government administrators and scientists, industry representatives, and academic scientists. The Science Action Network has the potential to ensure cross-disaster preparedness and science-based decision making through novel partnerships and scientific coordination. 
540 |a Copyright © 2017 by the author(s) 
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650 4 |a disaster response 
650 4 |a human-centered design 
650 4 |a scientific collaboration 
650 4 |a systems analysis 
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650 4 |a Health sciences  |x Health and wellness  |x Public health  |x Disasters  |x Environmental disasters  |x Oil spills 
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650 4 |a Applied sciences  |x Electronics  |x Radio equipment  |x Transponders 
650 4 |a Political science  |x Politics  |x National politics  |x Government crises 
650 4 |a Applied sciences  |x Engineering  |x Systems engineering  |x Systems development  |x Systems approach 
650 4 |a Behavioral sciences  |x Anthropology  |x Ethnology  |x Ethnography 
650 4 |a Arts  |x Applied arts  |x Design  |x Design engineering  |x Participatory design 
650 4 |a Biological sciences  |x Ecology  |x Human ecology 
650 4 |a Economics  |x Economic disciplines  |x Financial economics  |x Finance  |x Funding  |x Synthesis 
655 4 |a research-article 
700 1 |a Gibbs-Plessl, Theodora  |e verfasserin  |4 aut 
700 1 |a Erickson, Ashley L.  |e verfasserin  |4 aut 
700 1 |a Ludwig, Kristin A.  |e verfasserin  |4 aut 
700 1 |a Reddy, Christopher M.  |e verfasserin  |4 aut 
700 1 |a Lubchenco, Jane  |e verfasserin  |4 aut 
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773 1 8 |g volume:22  |g year:2017  |g number:2 
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