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Study Centre for Food Chain Modelling and Artificial Intelligence

The "Supply Chain Modelling and Artificial Intelligence" (4SZ WKM-KI) Study Centre has been established to support the development of innovative IT solutions and model-based forecasting tools at the BfR.

It continues the BfR's work on supply chain modelling (including the work of the Junior Research Group on Supply Chain Models) and the establishment of harmonised exchange formats for risk assessment models within the RAKIP Initiative (Risk Assessment Knowledge Integration Platform). The aim is to develop solutions that the entire BfR can use.

Tasks, projects and goals

The Study Centre's work notably focuses on the utilisation of methods from the field of artificial intelligence (AI) for assessment work at the BfR. The Study Centre is significantly involved in the work of the KIDA (Artificial Intelligence and Data Accelerator) project funded by the Federal Ministry of Food, Agriculture and Consumer Protection (BMEL) and is developing solutions as part of this for the efficient provision of research data and models in machine-readable and interoperable formats.

Study Centre staff members are also involved in and coordinate several national and international research projects.

The work carried out at the Study Centre is divided into the following sub-areas:

• Coordination of BfR participation and implementation of project tasks within the KIDA project
• Management and expansion of the international RAKIP Initiative to develop resources that allow efficient exchange of assessment models in the One Health context. Part of this initiative is the further development of the Food Safety Knowledge Exchange (FSXK) Format
• Continuation of activities in the field of supply chain modelling, including leadership of an internal BfR working group on the topic. This focus also includes the constant continuation of software development projects such as PMM-Lab, FoodProcess-Lab, FSK-Lab
• BfR-wide support for users of the data analysis platform KNIME and administration of the BfR KNIME server instances. This includes the continuous further development of web services such as RAKIP-Web Model Repository, Flow of Goods Info, openFSMR, One Health Glossary.
• Participation in and application for third-party funded projects such as FoodDecide, EJP MATRIX, EJP COVRIN, Future Lab 2030, MicRisk 2030

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