Interim and final reports detailing stakeholders' requirements, impact assessment & data sources

The identified drivers, indicators, user expectations & requirements established in WP5 will be implement in the AI based models and tools for ERI prediction and ERI monitoring (data driven (task 1.2) and text based (task 1.3)). Data sources and websites of relevant indicators needed for the AI models will be identified and assessed for quality. Four co-creation events (LL as developed in WP4) to test and optimise the models and approaches will be held at M12, M24, M34, M44 under guidance of WP4 (UNEW). Existing ERI systems in food safety and their limitations (e.g. input from WP5.4) and environmental ERI systems as developed in the European partnership “PARC” will be taken into account. AGROKNOW’s methodology for translating an ERI mitigation question into specs for an AI model will be used in this task (the “Food Safety Intelligence Equation”). (M14)