The increasing ability to capture data at the level of individual agricultural fields, individual culinary recipes, and individual food waste digesters is allowing analytics-based optimization within the distinct industries responsible for producing, transporting, trading, storing, processing, packaging, wholesaling, retailing, consuming, and disposing of food.  Yet addressing the pressing national/global challenges in food security due to climate change, as well as public health challenges such as obesity and malnutrition, requires optimization across the food pipeline.  This workshop is concerned with understanding the relationship between data and food writ large, with a particular focus on questions of interoperable data ontologies, privacy, and analytic insights.

This workshop is made possible through the support of the NSF Midwest Big Data Hub and the Computing Community Consortium (CCC).