One Day Symposium on Computational Gastronomy

One Day Symposium on Computational Gastronomy Season 3

Organizer: Prof. Ganesh Bagler, Center for Computational Biology @ IIIT-Delhi.

Online Registration

Date: 21st December 2019, Saturday
Time: 9:00 am – 6:00 pm
Venue: Research and Development Block, IIIT- Delhi

Cooking forms 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 is dramatically changing the artistic outlook towards gastronomy. Starting with a seemingly simple question, ‘Why do we eat what we eat?’ data-driven research conducted in our lab has led to interesting explorations of traditional recipes, their flavor composition, and health associations. Our investigations have revealed ‘culinary fingerprints’ of regional cuisines across the world, starting with the case study of Indian cuisine. Application of data-driven strategies for investigating the gastronomic data has opened up exciting avenues giving rise to an all-new field of ‘Computational Gastronomy’. This emerging interdisciplinary science asks questions of culinary origin to seek their answers via the compilation of culinary data and their analysis using methods of statistics, computer science, and artificial intelligence. Along with complementary experimental studies, these endeavors have the potential to transform the food landscape by effectively leveraging data-driven food innovations for better health and nutrition.

The 'Complex Systems Laboratory' at IIIT-Delhi (Dr. Ganesh Bagler)has been on the forefront of this emerging data science and has contributed to its foundation via pioneering integrative studies in food pairing, culinary fingerprints, flavor percepts and health impacts of food, other than creating data repositories of flavor molecules (FlavorDB), food-disease associations (DietRx, SpiceRx) and recipes from across the world regions (RecipeDB).

The 'Symposium on Computational Gastronomy' is aimed at providing an exposition to this emerging interdisciplinary science involving data collection and curation, data analytics, machine learning, natural language processing and pattern mining. 'Computational Gastronomy' has the potential to transform the landscape of food and can be effectively leveraged for better health and nutrition through an array of culinary applications (food design, food-beverage pairing, discovering unseen flavor combinations, novel recipe generation etc.), apart from providing valuable insights into the principles of culinary sciences. Such advances are expected to set new trends in various allied sectors including food, health, hospitality, and tourism.

#GastroSym2018

Who should attend: Chefs; Students and professionals from culinary domains; Researchers and other industry professionals interested in applications of computational gastronomy; Computer scientists and data science enthusiasts.


Registration fee: Participants are required to make an online payment of Rs. 1000 (Non – Refundable) for attending this symposium using the link

Registration fees include: Participation Certificate, Lunch; Tea/ Coffee break.

Note: Accommodation and Travel allowances are NOT covered in the registration fees.

Deadlines: Last date for online registration and fee payment is 22nd November 2019, Friday.

Contact: For any further queries please mail us at ccb@iiitd.ac.in


POINTER TO THE RESOURCES:

FOOD PAIRING RESEARCH: Spices form the basis of food pairing in the Indian cuisine | Food Pairing in Regional Cuisines of India | Data-driven investigations of culinary patterns in traditional recipes across the world (ICDE Paris; Best Paper Award)

FLAVOR DATABASE AND MOBILE APPLICATION: FlavorDB - The Universe of Flavor Molecules and a Food-Pairing Tool|Research Article in Nucleic Acids Research (2018) | FlavorDB Android App

FOOD AND HEALTH: DietRx Database: An integrative resource to explore food-disease associations | Broad-spectrum benevolence of culinary herbs and spices PLoS ONE (2018)

TASTE PREDICTION: BitterSweet Prediction Server | BitterSweet Prediction Machine Learning Models (Scientific Reports, 2019)

MODELS FOR CUISINE EVOLUTION: Culinary evolution models for Indian cuisines (Physica A, 2018) | Computational models for the evolution of world cuisines (ICDE, 2019)

MEDIA: MIT Technology Review highlights our research as an Emerging Technology | National Public Radio, USA | Covered in over 200+ Worldwide Media | Washington Post, The Hindu, Times of India, Rude Food by Vir Sanghvi

OUTREACH: Computational Gastronomy Symposium @ IIIT-Delhi Season 2 | TEDx Talk Video | TEDx Talk Blog | Symposium Report in Current Science | Talk at ICTS - Public Health Meeting | TALKMAP: A map of past and upcoming talks

OPEN Computational Gastronomy Course: Class-01/Class-02/Class03