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Co-producing software for complex environmental data visualization

Environmental scientists, land managers, and policy actors are increasingly presented with high-stakes high-uncertainty problems stemming from human-ecosystem interactions. 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. Preliminary findings suggest that this software co-production process could help build legitimacy for the information it produces, with potential implications for generating actionable science for policy and governance.