Environmental scientists, land managers, and policy actors are increasingly presented with high-stakes high-uncertainty problems stemming from human-ecosystem interactions. These interactions exacerbate already challenging issues associated with environmental policy and natural resource management. To address these problems, scientists and managers frequently use models that produce enormous geospatial and temporal datasets that are constantly modified. To help make sense of this complex and changing data, we are immersed in a co-production effort where software engineers and environmental scientists collaborate on the development of visualization software. We report on this on-going research, and find that visualization is critical not only for communicating science, but integral to many aspects of the science production pipeline and evolving data science field. We also find evidence among our collaborators that this software co-production process helps build legitimacy for the information it produces, with potential implications for generating actionable science for policy and governance. 
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                            Organisational influence on the co-production of fire science: overcoming challenges and realising opportunities
                        
                    
    
            Addressing the challenges of wildland fire requires that fire science be relevant to management and integrated into management decisions. Co-production is often touted as a process that can increase the utility of science for management, by involving scientists and managers in knowledge creation and problem solving. Despite the documented benefits of co-production, these efforts face a number of institutional barriers. Further research is needed on how to institutionalise support and incentivise co-production. To better understand how research organisations enable and constrain co-production, this study examined seven co-produced wildland fire projects associated with the US Department of Agriculture Forest Service Rocky Mountain Research Station (RMRS), through in-depth interviews with scientists, managers and community members. Results provide insights into how organisational structures and cultures influence the co-production of fire science. Research organisations like RMRS may be able to institutionalise co-production by adjusting the way they incentivise and evaluate researchers, increasing investment in science delivery and scientific personnel overall, and supplying long-term funding to support time-intensive collaborations. These sorts of structural changes could help transform the culture of fire science so that co-production is valued alongside more conventional scientific activities and products. 
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                            - Award ID(s):
- 1633831
- PAR ID:
- 10390687
- Date Published:
- Journal Name:
- International Journal of Wildland Fire
- Volume:
- 31
- Issue:
- 4
- ISSN:
- 1049-8001
- Page Range / eLocation ID:
- 435 to 448
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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