Category Research project
  • Mikrobiologie

A novel path for microbial risk assessment towards sustainable food systems: employing AI-based risk management concepts from Stochastic Finance

Project status
In Progress
Project start
Aug 2022
Project end
Jan 2027
Acronym
MicRisk2030
Department
Informationstechnik

Description and Objective

The project objective is to leverage AI-assisted dynamic risk management concepts from Stochastic Finance to initiate disruptive transformation of the currently used classical (and often static) microbial risk analysis framework to meet the challenges of future food systems as part of a circular economy. Using the B. cereus group as a model, the project will develop dynamic data-driven risk assessment and management concepts and an overarching risk analysis scheme enabling food business operators, policy makers and risk managers to jointly promote the SDGs by minimizing food waste while protecting human health, biodiversity, and ecosystems. To achieve this overarching goal, the project defines the following subgoals: 1. Transferring risk management concepts from Stochastic Finance to the microbial risk analysis context and harnessing existing data, models and concepts for microbial risk assessment and management 2. Generating new data on B. cereus group hazard characterization and hazard exposureExposureTo glossary that can feed into AIbased risk assessment and management concepts 3. Development of AI-assisted risk assessment and management concepts by building upon established tools from game theory and decision making and implementation in a food production facility 4. Proposing an overarching microbial risk assessment and management scheme for multi-criteria decision support that integrates the novel AI-assisted concepts in a modular design 5. Engaging stakeholders and assuring sustainable effects of the project by involvement of a sounding board of stakeholders, establishment of an interoperable database, and creation of training materials
Type of project

Third-party funded project

BFR research focus

Expositionsabschätzung und Bewertung biologischer Risiken / Gesundheit von Mensch, Tier und Umwelt (One Health) / Forschung zur Sicherheit nationaler und internationaler Warenketten / Harmonisierung und Standardisierung von Expositionsschätzungen

Organisational units and partners

Lead specialist group: Warenkettenmodellierungen und Künstliche Intelligenz (1IZ)
Contact persons: Matthias Filter
External partner: Department für Mathematik, Institut für Mikrobiologie, Institut für Lebensmittelsicherheit und -hygiene, Institut für Mikrobiologie, Department für Pathobiologie

Funding body and grant number

Schweizer National Fonds (SNF)
CRSII5_209253/1

Our newsletters

The BfRshort forGerman Federal Institute for Risk Assessment offers you various newsletters in German and English.

Subscribe