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This multi-disciplinary case study details how a public web applicationcombines information and game design to visualize effects of user-definedpolicies intended to reduce plastic waste. Contextualizing this open sourcesoftware within a broader lineage of digital media research, this userexperience exploration outlines potential directions for facilitatingconversation between artificial intelligence, scientists, and decision makersduring an iterative policy building process. Furthermore, this systemdissection reveals how this interactive science effort considers thepracticalities of a treaty's shifting priorities and proposals in its designs.Specifically, this historically situated investigation of the tool's approachhighlights options for centering human decision making where artificialintelligence helps reason about interventions but does not prescribe them.Finally, analysis summarizes this application's specific game design-inspiredmechanics and their efforts to: enable users' agency to explore solutionpossibilities freely, invite deep engagement with scientific findings, andsimultaneously serve multiple audiences with divergent objectives andexpertise.

Combining Game Design and Data Visualization to Inform Plastics Policy:  Fostering Collaboration between Science, Decision-Makers, and Artificial  Intelligence