UNIVERSITY OF WASHINGTON
Personalized Risk-AdaptIve Surveillance (PRAISE) - Implications of Algorithmic Bias
Personalized Risk-AdaptIve Surveillance (PRAISE) - Implications of Algorithmic Bias is a funding opportunity from UNIVERSITY OF WASHINGTON, up to 423669, closing August 31, 2026.
Aug 31, 2026
(31d left)Overview
ABSTRACT Algorithmic bias is an emerging and highly relevant topic in health policy that draws attention to the idea that seemingly well-performing predictive algorithms built using biased data can propagate systemic biases and disparities existing in clinical practice. Our primary goal in the parent grant was to…