Lunch webinar on emerging risk identification

October 21st, 2024 | Online event n°3 by HOLiFOOD & FoodSafeR

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!