2026: Precision Nutrition Under Climate Change: An AI-Driven Framework for Household Vulnerability and Climate Resilience (U. Kentucky)
Through this collaboration between Cornell Atkinson and the Cornell Joan Klein Jacobs Center for Precision Nutrition and Health, researchers will develop an AI-driven precision nutrition framework to understand how climate shocks disrupt food security and health at the household level. By integrating longitudinal data from the Panel Study of Income Dynamics Child Development Supplement with linked family socioeconomic, cultural, activity, health, and rare genetic information, the study captures intergenerational and heterogeneous vulnerability. These data are combined with NOAA climate disaster exposure and analyzed using causal machine learning to estimate differential impacts across households. Counterfactual simulations of climate risks and policy responses will inform targeted, climate-resilient nutrition policies and strengthen future external funding applications.
Cornell: Harry M. Kaiser (Dyson School)
U. Kentucky: Yuqing Zheng (Agricultural Economics)