EFRA’s objectives are:
1 Solution development and testing, able to discover and distil meaningful and reliable food risk data from heterogeneous and dispersed data sources with minimal delay and appropriate format.
2 Designing of relevant human aspects and interactions with users to measure usefulness for human risk prevention actions in real-world scenarios and use-cases
3 Demonstrating how solutions enable the development of trustworthy, accurate, green and fair AI systems for food risk prevention
4 Groundbreaking advances in performance and usefulness of food risk data discovery, collection, mining, filtering, and processing
5 Integration of relevant technologies (such as big data, IoT, HPC, AI) to help achieve EFRA goals and foster links to respective communities of data innovators in the food supply chain
6 Positioning EFRA contributions into the overall ecosystem of public and private stakeholders that share data, technology and infrastructure to ensure the safety and quality of food in Europe
