Project 3

Project objectives

• Map and evaluate current approaches for integrating genomic data into risk assessment frameworks across Europe.
• Define harmonised standards and FAIR requirements for genomic data and metadata used in risk assessment.
• Develop protocols for integrating genomic and epidemiological data, including phylodynamic approaches.
• Design and validate AI/ML-supported models for source attribution, transmission analysis, and outcome prediction.
• Develop interoperable open-source tools compatible with existing European genomic surveillance infrastructures.
• Adapt existing risk assessment methodologies and guidelines to incorporate genomic evidence.
• Validate methods and tools through case studies on priority animal health, foodborne and zoonotic pathogens.
• Assess the added value of genomic-informed risk assessment in terms of timeliness, accuracy, and utility for decision-making.
• Strengthen collaboration among European risk assessors, epidemiologists, bioinformaticians, and public health stakeholders.
• Support capacity building through training, dissemination activities, and stakeholder engagement.

Outcomes and impacts

Outcomes

• Harmonised recommendations for genomic data and metadata use in risk assessment.
• Review of current practices, platforms, and methodological gaps across Europe.
• Protocols for integrating genomic and epidemiological information into risk assessment workflows.
• AI/ML-based models and analytical approaches for source attribution, phylodynamics, and outcome prediction.
• Open-source tools and software integrated with existing European surveillance infrastructures.
• Case-study evidence supporting the practical use of genomic-informed risk assessment.
• Training materials and strengthened stakeholder networks.

Impacts

• Improved preparedness and response to animal and zoonotic disease threats.
• More timely, accurate, and evidence-based risk assessments.
• Enhanced One Health collaboration and data interoperability across Europe.
• Increased use of genomic surveillance data in policy and decision-making.
• Sustainable capacity building and broader adoption of genomic-informed risk assessment approaches by EU authorities and stakeholders.