  This multi-disciplinary case study details how a public web application
combines information and game design to visualize effects of user-defined
policies intended to reduce plastic waste. Contextualizing this open source
software within a broader lineage of digital media research, this user
experience exploration outlines potential directions for facilitating
conversation between artificial intelligence, scientists, and decision makers
during an iterative policy building process. Furthermore, this system
dissection reveals how this interactive science effort considers the
practicalities of a treaty's shifting priorities and proposals in its designs.
Specifically, this historically situated investigation of the tool's approach
highlights options for centering human decision making where artificial
intelligence helps reason about interventions but does not prescribe them.
Finally, analysis summarizes this application's specific game design-inspired
mechanics and their efforts to: enable users' agency to explore solution
possibilities freely, invite deep engagement with scientific findings, and
simultaneously serve multiple audiences with divergent objectives and
expertise.
