William Masters is the former chair of the Friedman School’s Department of Food and Nutrition Policy and current professor in the Friedman School with a secondary appointment in the Department of Economics at Tufts University. As Principal Investigator for the Food Prices for Nutrition and the founding Director of the IMMANA (Innovative Metrics and Methods for Agriculture and Nutrition Actions) Fellowships program, he explores the development of food choice, production, and agriculture. In a recent podcast, he discusses misconceptions about expensive healthy eating habits and delves into how food can be made more affordable for all. All photo credits: Kelvin Ma
Investigating Nutrition and Healthy Eating with Dr. William Masters
Course
NUTR 390: Introduction to AI-Based Applications for Nutrition and Health Research (AIRNH) offers an overview of AI-based applications beneficial for health and nutrition research. It emphasizes the use of knowledge graphs, conceptual maps, and causal diagrams to enhance understanding and practical skills. The course also focuses on ethical considerations in using AI-powered tools, addressing the impacts of structural missingness on algorithmic bias, and exploring data representation and model transparency within the context of nutrition science and policy.