Aim

• To showcase advances and innovations in risk analysis and modelling as suitable tools for using data and transforming it into meaningful information to assist decision-makers to manage the risk of FMD and similar TADs.

Main issues

• ​What innovative approaches and data-driven technologies can advance disease modelling, risk assessment and forecasting?
• How can risk information be shared in a timely, efficient, and effective manner?
• How to integrate different data sources into useful information to assist decision making processes to prevent and control FAST diseases?
• How can models be used to inform policy and decision makers for FAST disease prevention and control? What are the best practices for using modelling to inform policy and decision makers?
• What are the limitations and challenges of using data to model and assess risk? How can we overcome these challenges? How can we deal with uncertainty?
• How can we explain the outcomes of risk assessments and models to the general public if needed?
• How can risk analysis and model tools be made available to developing countries? How can we make research results understandable, useful, and available to veterinary services and other stakeholders that could benefit from them?