Farm-to-fork transitions and their impact – big data approaches

The BIGFOOD project aims to apply data science methods and make them available for analysis and integration of food and nutrition data within and outside RIVM. How can data sources from different steps in the food chain be used by applying data science methods to gain more insight into the effects of strategies to achieve more sustainable food production and – consumption, like the protein transition? This project will examine the effects of the this transition and identifies and analysis promising interventions on domains of public health, food safety and the environment.