This thesis investigates how the semantic content of urban climate policy can be computationally coupled with high-resolution geospatial data to anticipate the climate consequences those policies set in motion. The work is situated in the metropolitan area of Barcelona, and the central proposition is that policy text far from being inert prescriptive language is itself an actionable dataset, provided we have a model capable of reading it.
Contextualized in the metropolitan area of Barcelona, explores extreme climate conditions in dense urban environments and reading through policies and planning proposals. Specifically, the aim is to map how the city responds to these climate policies.
