Big Data for Sustainable Foods, Nutrition, and Health
The development of sustainable dietary guidelines requires input from multiple sectors as well as some complex modeling. The four domains of food sustainability can be broadly defined in terms of nutrition and health, economics, culture and society, and the environment. Their dynamic interactions at the regional and global scale can be complicated by the nutrition transition, agro-industrial practices, and by climate change. On one hand, existing diets are said to drive climate change; on the other, global warming can shape what our diets will be in year 2050. Big data inputs for analytics need to be context specific: the future of public health lies in precise geo-localization of dietary and health data at fine resolution. Among methods, metrics and models to be discussed will be recent advances in nutrient profiling of foods, affordability indices and geographic distributions of diets and obesity rates in the US and elsewhere. Big data analytics are needed to identify foods and cultural food patterns that nutrient rich, affordable, culturally acceptable and with low impact on the environment.
Adam Drewnowski, PhD
Professor of Epidemiology
Director, Center for Public Health Nutrition
University of Washington, Seattle