More than a year after the start of the coronavirus pandemic forever changed our way of life and further strained our food system, we face greater challenges as a result of new vulnerabilities that have arisen.

Opportunities exist for the use of data science in preventing and mitigating foodborne disease outbreaks, often using publicly accessible data. This article examines machine learning/data science approaches, including whole-genome sequencing, to enhance food safety.