An ensemble of hyperparameter-searched neural surrogates is reported to improve forward prediction, autoregressive rollout, and adjoint sensitivity estimates for ocean model parameterizations, while providing epistemic uncertainty on values and derivatives.
Designing Doable and Locally-adapted Action Cards for an Interactive Tabletop Game To Support Bottom-Up Flood Resilience
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abstract
Serious games can support communities in becoming more flood resilient. However, the process of identifying and integrating locally relevant and doable actions into gameplay is complex and underresearched. We approached the challenge by collaborating with a community-led education center and applying an iterative and participatory design process of identifying and defining actions that may increase local applicability and relevance. The process comprised a field observation, two expert focus groups (n=4), and an online survey (n=13). Our findings identified 27 actions related to increasing or maintaining individuals' and communities' flood resilience, which we turned into 20 playing cards. These action cards are a part of a larger interactive tabletop game, which we are currently developing. Our work discusses the potential of card games to educate non-experts to increase flood resilience, and contributes to our process of identifying local needs and conditions, and turning them into engaging game artifacts for bottom-up empowerment.
fields
physics.ao-ph 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
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Ensembles of Neural Surrogates for Parametric Sensitivity in Ocean Modeling
An ensemble of hyperparameter-searched neural surrogates is reported to improve forward prediction, autoregressive rollout, and adjoint sensitivity estimates for ocean model parameterizations, while providing epistemic uncertainty on values and derivatives.