GIS-RS is a powerful tool for data collection, management and analysis. For example, researchers in academia are using RS data in GIS platforms to predict the risk of microbial contamination in production environments. Similarly, government agencies use GIS to improve food traceability and investigate outbreaks. However, these applications do not fully utilize the data management, and analysis capabilities of GIS-RS, especially when compared to other scientific fields. For example, precision agriculture uses GIS to maximize crop yields while minimizing capital inputs. However, the same data that is being generated for these analyses could also be used to develop targeted, adaptive pre-harvest risk management plans. GIS-RS also has tremendous potential to model and predict the effects of climate change on food safety. The use of GIS-RS will require a shift toward interdisciplinary collaborations between academia, government and industry, and will require the standardized collection and sharing of data. Food safety specialists from all three facets of food safety, therefore, need to have an understanding of GIS-RS. This symposium will work to bridge the gap between GIS-RS practitioners and food safety specialists, while exploring current and potential applications of GIS-RS to food safety.