This $684,290 Project Grant award from the National Institute of Child Health and Human Development (NICHD) under the Child Health and Human Development Extramural Research program (CFDA 93.865) will support a research project at Weill Medical College of Cornell University. The project aims to leverage longitudinal electronic health records and social determinants of health data to develop machine learning models for predicting the risk of severe maternal morbidity, a serious and growing public health issue. Key objectives include characterizing the study cohort, ascertaining community- and individual-level social determinants of health, and assessing the fairness and clinical interpretability of the predictive models. The project has a performance period from March 2025 to February 2030 and will collaborate with the NICHD U54 Center to provide actionable recommendations for implementing the risk models in clinical decision support tools.