Contexte
WiseFood aims at developing smart digital applications that will empower citizens to make healthier and more sustainable food choices.
It leverages state-of-the-art Artificial Intelligence (AI) techniques and tools, combining the factual knowledge representation capacity of Knowledge Graphs with the natural language understanding, generation, and reasoning abilities of Large Language Models. These allow the consortium to build novel tools that democratize access to reliable food-related information and go beyond the current levels of personalization and contextualization offered by existing food recommenders. The developed applications are user-friendly and integrate seamlessly into daily life, not requiring specialized IT skills or devices.
The outcomes of WiseFood will enhance the overall food ecosystem, by promoting healthier dietary habits, reducing the ecological footprint of food consumption, and fostering a culture of well-informed and eco-conscious citizens.
Objectives
Our goal is to bridge the divide between knowledge, intention, and action with end-to-end intelligent solutions. A human-in-the-loop approach with food domain experts, including nutritionists, is applied to ensure alignment with national policies and guidelines. Living Labs implementing a multi-actor approach are foreseen to co-create the envisioned solutions. These take place in three different countries, Ireland, Hungary, and Slovenia, with the latter being an already established and operational short food supply chain Living Lab.
The outcomes of WiseFood will enhance the overall food ecosystem, by promoting healthier dietary habits, reducing the ecological footprint of food consumption, and fostering a culture of well-informed and eco-conscious citizens.
Activities
In short, the WiseFood activities span a broad range of activities. As previously explained, WiseFood aims at developing smart digital applications that will empower citizens to make healthier and more sustainable food choices by democratizing access to reliable information and providing recommendations that are highly personalized, explainable, actionable, and aligned with national dietary advice. Thus, WiseFood applies a human-in-the-loop approach in developing the three applications (FoodScholar, RecipeWrangler and FoodChat) and the WiseFood platform, leveraging state of the art Artificial Intelligence (AI) techniques and tools, and implementing a multi-actor approach to co-create the envisioned solutions - via Living Lab activities in three countries.
Moreover, WiseFood engages in knowledge exchange and wide dissemination, while expanding its network of collaborators and audiences.
Project details
- Main funding source
- Horizon Europe (EU Research and Innovation Programme)
- Type of Horizon project
- Multi-actor project
- Project acronym
- WiseFood
- CORDIS Fact sheet
- Project contribution to CAP specific objectives
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- SO3. Farmer position in value chains
- SO4. Agriculture and climate mitigation
- SO9. Health, Food & Antimicrobial Resistance
- SO10. Driving simplification
- Environmental care
- Protecting food and health quality
- Fostering knowledge and innovation
- Project contribution to EU Strategies
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- Achieving climate neutrality
- Fostering organic farming and/or organic aquaculture, with the aim of increased uptake
- Reducing nutrient losses and the use of fertilisers, while maintaining soil fertility
- Improving management of natural resources used by agriculture, such as water, soil and air
EUR 284 872 869.00
Total budget
Total contributions including EU funding.
EUR 284 872 869.00
EU contribution
Any type of EU funding.
Ressources
Liens
3 Practice Abstracts
Contacts
Project email
Project coordinator
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Athena Research Center
Project coordinator