Data Integration for Diet Sustainability Analyses

Diet sustainability analyses are stronger when they incorporate multiple food systems domains, disciplines, scales, and time/space dimensions into a common modeling framework. Few do this well: there large gaps in data many regions, accessing private some public can be difficult, analytical challenges, such as creating linkages across datasets using complex methods. This article summarizes key sources domains of system (nutrition, economic, environment) describes methods tools for integrating them analytic Our focus is the United States because number publicly available highly disaggregated datasets. Thematically, we on that exist between environmental economic to nutrition, which used estimate cost agricultural resource use waste, interrelationships healthy eating climate impacts, diets optimized cost, others. The limitations these approaches described next. By enhancing integration fields, researchers better equipped promote policy sustainable diets.