In this workshop, we aim to focus primarily on methodologies for big data management and analysis for food and nutrition data. BFNDMA 2020 will consider original and unpublished research articles that propose bold steps towards addressing the challenges of data management and analysis for food and nutrition data and exploring the relation between food systems and the human health and environment.
Call For Paper
TOPICS OF INTEREST RELATED TO FOOD AND NUTRITION
Information retrieval, information extraction, natural language processing techniques and artificial intelligence for food and nutrition science;
Ontologies, vocabularies and ontology design patterns, with a focus on describing the modelling process;
Crowdsourcing task designs that have been used and can be (re)used for building resources such as gold standards;
Data mining and knowledge discovery
Analytics, including social media, text, or structured datasets;
Recommendation of food, menu, or food- and nutrition-related habits;
Policy analysis and recommendations relevant to citizens and governments;
Wearable devices, quantified-self data for food, nutrition, and health.