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This review summarizes aspects of the 2017 Canadian Nutrition Society symposium, "Modelling diets for quality and cost: examples from Inuit and First Nations in Canada". Indigenous peoples in Canada experience a high prevalence of nutritionrelated chronic disease because of the poor quality and high cost of their food supply. Since European colonization, they have transitioned from a diet of minimally processed traditional foods (game, fish, and plants) procured using pursuits such as hunting, fishing, gathering, and horticulture to a diet comprised mostly of processed market foods. This nutrition transition is the result of factors such as colonial policies and practices; climate change; environmental degradation; contaminants in traditional foods; and limited availability of, or access to, economical and healthful market foods. Presenters Malek Batal and Laurie Chan characterized the contemporary diets of First Nations and Inuit populations and demonstrated novel methods for modelling more optimal diets using 2 datasets: the First Nations Food, Nutrition, and Environment Study and the Inuit Health Survey. It was demonstrated how the NOVA classification characterized the portion of the diet consisting of processed foods. Dietary components were then manipulated to reduce ultra-processed food and drink intake to increase the Healthy Eating Index score. Linear programming was explained as a way to mathematically design theoretical diets that aim to optimize food cost, nutrition quality, and contaminant level of traditional foods. While diet-modelling methodologies have limitations, they provide a basis for engaging Indigenous peoples and governments to develop nutrition goals and policies anchored in contemporary food realities.