In this VCO, members from Summer School's Team 3 will share how they used DeepEarth  as a geospatial AI model for fire ecology simulation. They explored datasets, engineered training pipelines, and performed machine learning experiments, with the goal of generating a rich table of ablation tests to inform the predictive utility of each data source studied. Join us to learn how they worked with the DeepEarth fire ecology simulator, in order to support future application by firewise landscape design and management professionals.