From farm to fork
ORION staff | October 9, 2015It’s morning. Farmers across Ontario are waking up to tend to their animals. You might be sitting down to a plate of scrambled eggs—maybe even a few strips of bacon. We take it for granted that this food will be safe to eat. But we rarely think about why. That, in part, is thanks to people like University of Guelph systems design engineer Deborah Stacey. Relying on a high-performance computing network, her research helps inform the regulatory structures that ensure our food is free of contamination and that the animals it comes from are healthy. It is, in part, due to her work that we now have modelling programs such as NAADSM, the North American Animal Disease Spread Model. This is the software governments and industry rely on to plan for and prevent epidemics. “NAADSM allows you to put in various scenarios for various animal diseases to see how they would spread,” says Stacey. “My interest is in looking at the network connections within that: contact, moving animals from one herd to another, and licking or touching other animals. I’m interested in how these contact networks differ across industries, which could suggest a different path of disease spread.” This research is then used by organizations such as the Guelph-based Poultry Industry Council to help determine which transportation and feed networks most effectively limit or eliminate things like avian diseases—in other words, how to ensure your scrambled eggs are safe. Stacey’s work produces a staggering amount of data, and it requires a lot of statistical analysis. It’s done through the Shared Hierarchical Academic Research Computing Network, or SHARCNET, a consortium of Ontario universities, colleges and research centres using a shared system of distributed high-performance computing, linked together through the ORION network. “Studying these networks made me more aware of how we develop and distribute the food we eat,” Stacey says. “It was surprising to find out how critical these farming systems are, and that they can be understood using mathematical models. These human systems that we’ve evolved are incredibly complex, and it was enlightening to see how much we need to study this—our food safety and security depend on understanding these systems.” A version of this story was originally published by ORION. It has been edited for clarity, accuracy and brevity, and is republished here with permission.