William Song, Aadithya Srinivasan (School: Bergen County Academies, Wardlaw + Hartridge School)
Climate change poses significant and evolving threats to human health, necessitating the development of effective, evidence-based policies to mitigate these risks. Achieving this goal requires a seamless transfer of knowledge from scientific research to policy-making. The complexity and interdisciplinary nature of climate and health sciences, along with the sheer volume of ongoing research, present challenges in staying abreast of new findings and integrating this knowledge into policy effectively. In response, we propose the creation of multiple specialized language models, each tailored to specific domains of climate and health information. These models aim to facilitate various tasks, such as identifying connections between climate and health concepts, verifying facts, extracting relationships, assessing health impacts for policy formulation, and more. This initiative represents a pioneering approach in developing domain-specific language models for these critical areas. Upon completion, we will make these models, along with accompanying resources and code, accessible to the research community.