Hosted by BUSPH-HSPH CAFE Research Coordinating Center
This interdisciplinary seminar from CAFE’s Data Management team will unpack how scientists turn air-quality data into health policy by focusing on the exposure–response curve (ERC), which links pollution levels to health outcomes. Drawing on recent work, the session will show how different modeling choices, from standard regression to causal inference, can lead to different conclusions about what pollution levels are deemed “safe.” The seminar will emphasize an intuitive approach to understanding how statistical methods address bias and uncertainty when using environmental data to inform smarter, evidence-based policy.