FoodDataQuest publication: New Study Method for Understanding Consumer Behaviour Through Shared Purchase Data 

FoodDataQuest partner Tampere University, as part of UC4, has published a new study in Springer Nature titled “Uncovering food purchase behaviors and their shifts using Hidden Markov Modeling.”  The study introduces a novel method for nutrition research by using Hidden Markov Models (HMMs) to analyze large, longitudinal food purchase datasets and track changes in food purchase behaviour over time, while also providing a practical methodological toolkit for […]

Sharing data, shaping diets: FoodDataQuest at EuroSense 2026 

The project partner, Machiel Reinders (Wageningen University & Research), presented FoodDataQuest results at EuroSense 2026 in Oslo on 10 September 2026. The talk titled “Sharing Data, Shaping Diets: Consumers’ Willingness to Share Data for Personalised Food Recommendations” is based on work with Liam Dwyer, Houkje Adema and Jos van den Puttelaar.  Consumer data can help companies and governments develop food messages that […]

FoodDataQuest Launches New Podcast Series with First Episode on Data Sharing in Food Systems 

Data has the potential to improve decision-making, support innovation, and drive more sustainable food systems. Yet sharing data across organisations, sectors, and communities remains a complex challenge. Questions around trust, governance, privacy, interoperability, and ownership continue to limit the full value that data can offer.  To explore these challenges and identify practical solutions, FoodDataQuest has launched a new podcast series. The first […]

Data sharing, governance and AI: FoodDataQuest at the TITAN x Data4Food2030 Conference 

FoodDataQuest took part in the TITAN x Data4Food2030 Conference, held on 17–18 June 2026 in Brussels, Belgium. The event focused on how digital innovation and data can support more sustainable, transparent, and resilient food systems, with sessions covering topics ranging from food safety and traceability to data governance and artificial intelligence.  Throughout the conference, FoodDataQuest partners shared results […]

FoodDataQuest Featured in New Food Magazine’s Global Supply Chains Report 

FoodDataQuest was recently featured in the latest report from New Food Magazine, Global Food Supply Chains in 2026: Building Resilience Under Pressure. The report explores the key challenges and opportunities shaping the future of global food supply chains, including resilience, sustainability, digitalisation, and food security in an increasingly complex global environment.  As part of the publication, partners from Wageningen University […]

Design of FoodDataQuest Reference Architecture and Data Model 

Partners from Netcompany-Intrasoft published the project’s Deliverable 2.2 (D2.2), which outlines the design of the Reference Architecture and Data Model for FoodDataQuest (FDQ), defining the technical foundation for secure, trustworthy, and interoperable private data sharing across the agri-food value chain. As a central output of Work Package 2 (WP2), it builds on the FDQ Framework from D2.1 and incorporates insights from WP1 on current data practices […]

Design of FoodDataQuest Reference Architecture and Data Model 

Partners from Netcompany-Intrasoft published the project’s Deliverable 2.2 (D2.2), which outlines the design of the Reference Architecture and Data Model for FoodDataQuest (FDQ), defining the technical foundation for secure, trustworthy, and interoperable private data sharing across the agri-food value chain. As a central output of Work Package 2 (WP2), it builds on the FDQ Framework from D2.1 and incorporates insights from WP1 on current data practices […]

Data and AI in the Agrifood Sector: Challenges, Future Perspectives and Use Case Applications

On 3 October 2025, FoodDataQuest will host a stakeholder event-open to both in-person and online participants-focused on the role of data and Artificial Intelligence (AI) in transforming the agrifood sector. With supply chain productivity, labor shortages, and climate change high on the EU agenda, data sharing, digitalisation, and AI integration have become key priorities. Yet, […]

Data and AI in the Agrifood Sector: Challenges, Future Perspectives and Use Case Applications

On 3 October 2025, FoodDataQuest will host a stakeholder event-open to both in-person and online participants-focused on the role of data and Artificial Intelligence (AI) in transforming the agrifood sector. With supply chain productivity, labor shortages, and climate change high on the EU agenda, data sharing, digitalisation, and AI integration have become key priorities. Yet, […]

Understanding challenges and opportunities for private data sharing 

As part of Work Package 1 (WP1), FoodDataQuest, explores the private data sharing ecosystem to accelerate the transition towards sustainable food systems. Within the project, gain creators refer to services and products that help overcome challenges in private data sharing. Another key element is the identification of opportunities, which involves examining novel set of data from outside the […]