What if you could predict a food safety crisis before it happens?
You could apply preventive risk mitigation and better protect public health through a comprehensive early warning system.
A system design approach combines artificial intelligence, machine learning, and expert knowledge to detect upcoming food safety hazards.
As a result, the EU-funded projects FoodSafeR and HOLiFOOD are focusing on the early detection of new food safety issues.
MEETING AIMS:
The 2 EU-funded initiatives (HOLiFOODproject and FoodSafeR) hosted a lunch webinar on emerging risk identification.
A session where innovation meets food safety.
This webinar features leading experts around 4 topics:
1️⃣ FoodSafeR: identification and characterization of drivers of change for emerging risks (Nina Hommels – Wageningen University & Research)
2️⃣ AI-Driven Prediction of Emerging Food Safety Risks: A Holistic Approach (Wenjuan Mu – Wageningen University & Research)
3️⃣ Emerging Food Risk Detection Through AI-Enhanced Weak Signal Mining (Axel Menning – Bundesinstitut für Risikobewertung)
4️⃣ Text mining models for emerging risk identification (Zsuzsa Farkas – University of Veterinary Medicine Budapest)
KEY-NOTE PRESENTATIONS BY RENOWNED EXPERTS:
Find down below the presentations, enjoy!