TerraNova: A Foundation Model for the Anthropocene

Modeling Earth and human society together is hard because physical data is continuous and border-agnostic, while societal data is reported by country --- a geometric mismatch existing models handle poorly. TerraNova solves this with dedicated encoders for location, country, time, and task, fusing them via cross-modal transformers and a hypernetwork-generated decoder that outputs uncertainty-aware predictions. It matches specialized geospatial models while adding time, ocean, and uncertainty coverage, and can adapt to new variables quickly on ordinary hardware. Applications include climate modeling, economic forecasting, and policy analysis that require reasoning jointly across physical and administrative data. Authors: Carlos Rodriguez-Pardo, Massimo Tavoni Paper: https://arxiv.org/abs/2607.29527v1