Richfields final conference will take place on 18 September 2018 at Square (Rue Mont des Arts, 1000 Brussels) at 9.30 and will open with a session chaired by Peter M. Abuja from the Medical University of Graz.
Registration is open. Reserve your seat and click here.
Speakers bios and Presentations (to be uploaded soon)
Objectives of this final event
- Obtain feedback from stakeholders on the outputs of RICHFIELDS
- Explore the scope for using consumer-, research- & business-generated data
- Consider how FNH-RI would function as a resource for future food, nutrition and health research in Europe
RICHFIELDS is a three-year EU funded project that started in October 2015 and aimed to design a consumer-data platform to collect and connect, compare and share information about our food behaviours, to revolutionise research on every-day choices made across Europe. RICHFIELDS seeks to determine what facilities, resources, and services can support research to learn more about what we choose to eat, and how and why we make those choices.
FNH-RI aims to develop a top-level e-research infrastructure that enables scientists to link and exploit public-, private- and citizen-generated research data. This will be achieved through a series of measuring including new and advanced tools for data generation, and harmonisation and/ or standardisation data, enabling improved sharing of data and supporting information. FNH-RI will provide scientific services that enable users – including policy-makers, government, NGOs, food industries large and small (SMEs), farmers and consumers – to make informed decisions and choices, supporting health and a more sustainable society.
Designing a world-class infrastructure to facilitate research and making “healthy choices the easy choices” requires knowledge about our dietary habits. This knowledge comes from analysing different types of information such as what food and beverages we are buying, preparing and eating, where we eat them and with whom. Every day, consumers and businesses generate big data – large volumes of information that offer detailed descriptions of our behaviours, including time and place. If these data-rich sources could be linked and analysed, they have the potential to contribute greatly to understanding societal challenges around food and health (e.g., obesity, cardiovascular disease, sustainability).