Practice Abstract - Research and innovation

HOLiFOOD Lunch Webinar 3 – “Emerging risk identification”

In general we could preventive risk mitigation and protect the public health through a comprehensive early warning system.

A system design approach that combines artificial intelligence, machine learning, and expert knowledge to detect upcoming food safety hazards.

To tell you more about this, the 2 EU-funded initiatives (HOLiFOODproject and FoodSafeR) hosted a lunch webinar on "System Design for Identification of Emerging Food Safety Risks"

The webinar covered 4 topics on “System design for identification of emerging food safety risks”:

  • Topic 1: FoodSafeR identification and characterization of drivers of change for emerging risks
  • Topic 2: AI-driven prediction of emerging food safety risks: a holistic approach
  • Topic 3: Emerging food risk detection through AI-enhanced weak signal mining
  • Topic 4: Text mining models for emerging risk identification


Main findings:

  1. A privacy-preserving AI method that allows multiple stakeholders to train models on decentralized data enables cross-border collaboration in food safety without compromising proprietary or sensitive data.
  2. A modular online platform for food safety professionals to collaborate, share knowledge, and monitor trends. It empowers researchers and policymakers with a real-time pulse on emerging risks and best practices.
  3. Automated global food safety monitoring using web scraping, multilingual processing, and dashboarding offers a scalable, real-time source of structured data across languages and regions.

Watch the webinar to learn more: https://holifoodproject.eu/lunch-webinar-on-emerging-risk-identificatio…;

Source Project
Future-Proofing Food: Transforming Risk Analysis for a better and more adaptive food system
Ongoing | 2022-2026
Main funding source
Horizon Europe (EU Research and Innovation Programme)
Geographical location
Netherlands, Italy, Hungary, Greece, Austria, France, Ireland, Denmark, Germany, Belgium, Austria, United Kingdom
Project details