Environment
We study how tools from algorithmic decision, machine learning, and causal inference can help us measure and identify the effects of environmental degradation and propose new pathways to more sustainable societal development. We will discuss how market design can be helpful when thinking about carbon bonds or biodiversity conservation, as well as how we can use a combination of ML and causal inference to identify adaptation policies to a changing environment.