“I really hope that different groups of researchers in different places can use what we’ve done to build similar models, and, in the end, we can compare and combine model predictions, giving us, for example, a Regina model, a Toronto model, a New York model,” says Ng. “By working together, we may be able to create a more robust waste generation model that allows us to better predict our solid waste generation.” The research involves mapping the number of active COVID-19 cases in Regina during specific time periods and comparing it to the amount of waste generated at those times. Ng will then be able build scenarios predicting trash totals based on the potential spread of the virus. The model will also help with waste management planning for other catastrophic events down the road.