Event description
Computational gastronomy is an emerging interdisciplinary field that uses data-driven methods and computational tools to study food and culinary practices. It aims to uncover patterns and connections within recipes, ingredients, and culinary traditions, integrating concepts from food science, cultural studies, and data analysis.
Advances in computational technologies have made it possible to apply numerical, simulation-based, and algorithmic approaches to analyze complex culinary datasets. These tools enable the exploration of patterns in recipe construction, structures in ingredient selection and compatibility, and aromatic associations, leading to new insights into the processes underlying gastronomic creativity.
This presentation explores the fundamental principles, tools, fields of study, findings, and future research potential of computational gastronomy.