Starting with the hypothesis that data-driven innovation is the key to achieving digital “smart” food safety, researchers will interview food industry leaders about the benefits of sharing food safety data. Can these food companies be incentivized to participate in a data collection program? After creating buy-in with these businesses, the researchers will develop a dataset framework of large, curated data sets. Using the collected data, the team will develop food systems digital twins, focusing on pathogen transmission to assess food safety and a produce spoilage model incorporating metagenomics data. They aim to integrate these models into a single retail food safety and spoilage model that is expandable to other commodities to allow dynamic risk assessment.