Evaluation of Climate Adaptation Interventions Using Observational Data
Stanford University funds research that uses observational data to rigorously assess the effectiveness of specific climate adaptation interventions in reducing societal impacts of climate change.
Funder: Stanford University
Due Dates: Rolling (review begins August 25, 2025)
Funding Amounts: No set limit; budgets based on project needs; indirect costs not allowed.
Summary: Supports research evaluating the effectiveness of climate adaptation interventions using observational data to reduce societal impacts of climate change.
Key Information: Proposals must have a Stanford PI; external collaborators allowed via subawards.
Description
This funding opportunity from Stanford University seeks to rapidly expand the evidence base on the effectiveness of climate adaptation interventions. The program invites research proposals that use observational data to quantitatively assess how specific interventions—ranging from individual actions (like air filter use during wildfire events) to policy-level changes (such as heat alerts or healthcare expansions)—reduce the negative societal impacts of a warming climate. Emphasis is placed on studies that credibly isolate causal impacts, and proposals that can estimate the implementation costs of interventions are given extra weight. The program leverages Stanford's climate data pipelines and access to outcome datasets to facilitate ambitious, cost-effective, and rapid research.
