Prof Ganesh Bagler

Abstract: Food and cooking form the core of our cultural identity other than being the basis of nutrition and health. The increasing availability of culinary data and the advent of computational methods for their scrutiny are dramatically changing the artistic outlook toward gastronomy. The application of data-driven strategies for investigating gastronomic data has created an all-new paradigm for data-driven investigations of food and cooking. Computational Gastronomy asks questions of culinary origin to seek answers via a structured compilation of culinary data and their analysis. Making food computable will enable data-driven innovations and transform the global food landscape for better public health, nutrition, and a sustainable future.