Food is central to our lives, and our lives are becoming increasingly digitized. The amount of data about our food preferences, food preparation and food consumption is growing rapidly. Examples include online recipes, databases of chemical compounds in foods, and restaurant reviews, among many others. How is food consumption changing in the 21st century? How can the new abundance of data help us to study the way we eat food? And how does the availability of this data shape our culinary habits and preferences?
Computational Gastronomy - Food in the Age of Data is a Royal Society International Scientific Seminar that aims to bring together leading researchers and practitioners from the fields of food science, computer science, neuroscience, sociology, and gastronomy to discuss these questions and exchange ideas. Recent research in this field has already shown how crowdsourcing, data mining, large-scale data analysis, machine learning, and network analysis can give us new insights into food choice, suggest novel ingredient combinations, and identify cultural, anthropological, psychological, nutritional and chemical factors that determine which foods we enjoy and why.
We will start around 9am on Monday the 29th and finish around 5-6pm on Tuesday the 30th. You can download the detailed program here: programme.pdf
Two nights - the night before (28th) and the next night (29th) are paid for everyone. The night of the second day of the meeting (the 30th) can also be booked free of charge by those travelling from outside the UK. Please let us know if you would like to take advantage of this option.
The closest airports are Luton, Birmingham, Heathrow, and Stansted. More travel information can be found here.
As we have a grant to pay for attendees' travel expenses, it would be very helpful if all attendees could notify us of your travel plans and actual (or estimated) costs as long as possible before the workshop to help us plan effectively. This also allows us to coordinate transfers from airports for people who are arriving at the same airports around the same time.