Evaluation of Climate Adaptation Interventions Using Observational Data
Evaluation of Climate Adaptation Interventions Using Observational Data supports research teams studying how interventions reduce climate impacts, building evidence on what works in adaptation.
Funder: Stanford University
Due Dates: Rolling (Proposals) | August 25, 2025 (Review start)
Funding Amounts: Request funding based on project needs; funding limits are not announced
Summary: Supports quantitative, observational studies evaluating interventions that reduce the societal impacts of a warming climate.
Key Information: The submitting PI must be Stanford Academic Council or University Medical Line faculty.
Description
Stanford University supports studies that rapidly build evidence on “what works” in climate adaptation. The program seeks quantitative evaluations of how much an intervention moderates a climate impact. Interventions are defined broadly: individual air-filter use during wildfire smoke, community heat alerts, and policies such as Medicaid expansion that could reduce temperature-related mortality all fit the scope.
The emphasis is on observational data and credible causal identification, often through quasi-experiments arising from how interventions were implemented. The program seeks actions individuals, communities, or policymakers could take but most are not already taking, potentially because of constraints or market frictions. Null findings on commonly enacted interventions are valued alongside positive findings on novel approaches. Proposals able to estimate implementation costs receive extra weight, although cost data are not required.
