Exploring big data for understanding consumer food habits and health
Bringing together science, industry and technology, RICHFIELDS will utilise previously underexploited 鈥渂ig data鈥 to assess the potential to link and share information generated by us daily (e.g. apps, sensors), as well as by business (e.g. retail and manufactures) and research (e.g. medical, sales, surveillance data).
Aalto University is represented in the RICHFIELDS project by the Department of Communications of Networks (COMNET). Specifically, Aalto will be focusing on a Case Study based on a platform for collection of information (including food intake, physical activity, sleep etc.) and presenting feedback for healthy lifestyle choices.
鈥淩ICHFIELDS will assess what facilities, resources and services can support research, to learn more about what consumers choose to eat and how and why we make those choices,鈥 said Karin Zimmermann, coordinator of RICHFIELDS at LEI Wageningen UR.
Ultimately, this will support future strategies to improve public health. Stressing the need for world-class research infrastructures, EU Horizon 2020 provided financial support in 2015 for RICHFIELDS.
New ICT technologies bring opportunities for researchers to monitor behaviours, collect information around food choice, and provide personalised feedback. Increasingly, we use mobile apps and tech-wear, recording real-time data about health and behaviour. We might also obtain access to other valuable data, such as health and medical information. Every day, consumers and businesses generate 鈥渂ig data鈥 - large volumes of information, that offer detailed descriptions of behaviours, including time and place (e.g. using GPS). If these data-rich sources could be linked and analysed, they have the potential to contribute greatly towards answering key questions to respond to societal challenges regarding food and health (e.g., obesity, cardiovascular disease, and also sustainability). RICHFIELDS will explore the integration of information (data) on food purchase (e.g. in store), preparation (e.g. in the kitchen) and consumption (e.g. in the dining room).
鈥淢aking the healthy choice the easy choice鈥 requires knowledge about lifestyle choices. This knowledge comes from analysing different types of information on dietary choices such as what food and drinks are we buying, preparing and eating? Where? Why? How? With whom? In what social and physical context? Previous research concluded that these data are fragmented and key information is lacking. Existing datasets are not sufficient to understand our behaviours and help; companies develop products for personal nutrition or for governments to determine the success and failure of public health policies.
RICHFIELDS will identify best practice for extracting business food purchasing and procurement data from new and existing technologies. Furthermore, it will examine the feasibility of linking existing and new research infrastructures, laboratories and facilities, which could enrich the platform. In light of these findings, the project will design the technical requirements to collect, compare and share information about our food behaviour.
鈥淩ICHFIELDS invites stakeholders to discuss issues of data ownership, privacy, intellectual property rights, ethics, and governance structure, and establish rules for the consumer data platform,鈥 said Zimmermann.
The RICHFIELDS project started 1 October 2015, and is funded for three years. The project is coordinated by LEI Wageningen UR. Sixteen project partners from twelve countries, bring together competences including nutrition, sociology, information management, ICT, business, consumer science, and food processing. This project has received funding from the European Union鈥檚 Horizon 2020 research and innovation programme.
For more information, please visit:
Contact:
Doctoral Researcher Edward Mutafungwa
Aalto University
tel. 050 4355 673
edward.mutafungwa@aalto.fi
richfields@WUR.nl
Coordinator:
Karin Zimmermann, BSc, RM
LEI Wageningen UR
karin.zimmermann@wur.nl
Read more news

Aalto computer scientists in STOC 2025
Two papers from Aalto Department of Computer Science were accepted to the Symposium on Theory of Computing (STOC).
New Academy Research Fellows and Academy Projects
A total of 44 Aalto researchers received Academy Research Fellowship and Academy Project funding from the Research Council of Finland 鈥 congratulations to all!
Aalto University's Wood Studio's future visions of Finland's most valuable wood are presented at the Finnish Forest Museum Lusto
Curly birch 鈥 the tree pressed by the devil 鈥 exhibition will be on display in Lusto until March 15, 2026.