Project description
Solutions to promote healthy and sustainable food practices
Healthy and sustainable food is often linked to cooking at home, yet not everyone finds this option appealing. In this context, the EU-funded DietWise project will streamline existing tools and applications to develop solutions that encourage healthy and sustainable food practices. Its goal is to make home cooking and dining more attractive and accessible to all. By employing innovative strategies and promoting market self-regulation, the project seeks to reduce nutritional confusion and harmonise healthier eating habits with cultural and commercial practices. Through citizen science-based approaches, DietWise will empower individuals to take an active role in their food choices. The project will collect valuable insights and empirical evidence using big data analysis, surveys and qualitative research.
Objective
The DietWise advances the state-of-the-art by proposing systemic changes, a focus on inclusion, and open social innovations with the aim of developing solutions that streamline existing tools and applications to foster healthy and sustainable food provision and to make cooking, eating, and treating of food at home the most attractive choice for all stakeholders. Using disruptive new approaches and voluntary market self-regulation, our activities will help to dampen nutritional noise gradually and organically merge cultural and commercial practices with a healthier and sustainable food consumption pattern. Next, we will empower citizens with novel, citizen science-based solutions that will shift the role citizens play – away from passive actors influenced by the food environment to citizens as active participants influencing their decisions and helping to create better digital food environments. The project will generate multiple novel insights to empower citizens to make healthy and sustainable choices and original empirical evidence through 'big data' analysis, large-scale surveys, qualitative research, and micro-level experiments. From a methodological point of view, we will harness novel state of the art methods, such as using artificial intelligence (AI) algorithms with deep learning techniques to analyze big online data. Finally, we will integrate scientific and empirical findings into social innovations powered by AI and develop user-oriented tools to support citizens. As a result, our methodological and empirical advancements will provide a deeper understanding of how various external system-level environmental factors shape attitudes and beliefs towards healthy and sustainable food provision and cooking, how to motivate consumers to follow nutrition guidelines, how to include the ones who are in greatest need, and how to help citizens shape digital food environments.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Keywords
Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
3000 Leuven
Belgium