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Sustainability Optimization for Secure Food Systems

Project description

Accessible solution for a global food challenge

Amid the ongoing environmental crisis, our food system faces unprecedented challenges, demanding increased productivity, inclusivity, sustainability and resilience. Despite various efforts, no initiative has successfully captured the global intricacies of the food system or effectively communicated with the diverse stakeholders. With this in mind, the EU-funded SOSFood project will leverage data exploitation and AI technologies to revolutionise decision-making across the food chain. Unlike previous initiatives, SOSFood adopts a multi-factorial, multi-actor and multi-scale strategy, ensuring a holistic perspective. The project’s outcomes include a consolidated food data space focused on sustainability and health, along with tailored decision-making tools for both industries and consumers.

Objective

In the current environmental emergency, the food system has to become more productive, inclusive, sustainable, and resilient. SOSFood will therefore use data-exploitation and AI-based technologies to provide a holistic and comprehensive image of the EU food system and develop tailored predictive tools to support well-informed decisions of all stakeholders of the food chain, with a multi-factorial, multi-actor and multi-scale approach, thanks to its multidisciplinary consortium of experts, from private and public sectors, academia research and food system representative (consumers, producers and industries). Although several initiatives have been taken in the same line, none has fully succeeded at considering the global picture of the system or delivering a reliable and accessible message to the target audience. Hence, SOSFood will result in a consolidated food data space focused on sustainability and health and decision-making tools adapted to each level of the chain (a predictive dashboard displaying data and predictions for industries, and a mobile app for consumers comprising an eco-healthy fingerprint visualization plot, a greening indicator of industries, reformulated European recipes promoting healthy, local and seasonal ingredients and general recommendations), following these steps: (1) creating a multi-actor network gathering social, political, legal, economic, technological, food, health, environmental and climatic data, promoting transparency and data-sharing, (2) mapping the food system scenario with a multidimensional strategy, exploiting the interoperability of data with advanced impact analysis and innovative AI-technologies, (3) co-designing solutions i.e. decision-making tools fitting the context and priorities of each user, validated through field case studies to ensure viability and representativeness.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL6-2023-GOVERNANCE-01

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Coordinator

UNIVERSIDAD DE VIGO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 460 500,00
Address
LG CAMPUS LAGOAS MARCOSENDE
36310 Vigo Pontevedra
Spain

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Region
Noroeste Galicia Pontevedra
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 460 500,00

Participants (16)

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