The focus will be on innovative techniques and digital solutions to integrate data and knowledge about hazards, exposure and technologies for improved risk assessment along feed and food chains.

- Guest Perspective

- Setting the scene

- Traceability systems and commodity chain information

- Early warning, predictive models and prevention strategies

- Software solutions supporting outbreak investigations and risk assessments

- Interactive session (workshop, poster, software fair)

- Innovative analytical approaches

- Data and knowledge integration
- Integrated food and feed systems

Abstracts DOI: 10.17590/20240618-104950-0

Presentations from 27.05.2024

Laurent Guillier, Anses, France
From data to decision: Leveraging WGS as a tool for precision risk assessment along the food production chain up to consumption

Sylvain Charlebois, Dalhousie University, Canada
History of traceability and global regulatory systems

Petter Olsen, Nofima, Norway
Should traceability systems in the food industry be based on blockchain technology?

Tim Bartram, GS1, Germany
GS1 based standards and data ecosystems

Hanno Friedrich, Kühne Logistics University, Germany
Using logistics data for food safety and food security analysis

Presentations from 28.05.2024

Britta Müller, Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit, Germany
ISAR – Assessing the impact of the Ukraine war on the agri-food chain

Maria Eleni Dimitrakopoulou, Agroknow, Greece
Enhancing public health: Harnessing the power of AI in ensuring food safety

Austyn Baumeister, Public Health Agency of Canada
Over twenty years of international foodborne outbreak data: How PAIFOD continues to support activities prevent foodborne illness in Canada

Vincent Baeten, Walloon Agricultural Research Center, Belgium
Spectroscopic analysis for feed quality and safety control at site and in lab

Eric Jamin, Eurofins Analytics, France
Routine detection and interpretation of anomalies using multivariate and non-targeted methods

Chiara Dall’Asta, University of Parma, Italy
Innovations in the detection of unknown contaminants by non-targeted MS

Presentations from 29.05.2024

Ákos Jóźwiak, Digital Food Institute, Hungary
Prerequisites for data analysis and AI

Matthias Filter, BfR, Germany
The Risk Assessment Knowledge Integration Platform (RAKIP) Initiative and it’s solutions

Tome Eftimov, Jozef Stefan Institute, Slovenia
Towards AI-driven food science and society: Opportunities and challenges

Venue
German Federal Institute for Risk Assessment (BfR)
lecture theater
Diedersdorfer Weg 1
12277 Berlin

Directions
https://www.bfr-akademie.de/english/locations/marienfelde.html
Destination stop (www.bahn.com/en, www.bvg.de/en):
“Nahmitzer Damm/Marienfelder Allee (Berlin)”