One of the greatest challenges in understanding AMR is translating complex, cross-sector data into actionable risk assessments that can inform timely decisions.

We asked AMR experts and EDAR8 Scientific Committee Members to weigh in on the issue.

Different disciplines define risk differently. Harmonising these perspectives is key to identifying major AMR drivers and turning surveillance data into actionable insights.

Professor David Graham, Research Professor, Durham University UK and EDAR8 Scientific Program Committee member

Recent advances are helping bridge this gap. By integrating environmental surveillance with clinical, agricultural, and socio-economic data, and applying machine learning, process-based models, and advanced bioinformatics, researchers are moving toward predictive frameworks that support early-warning systems and evidence-based interventions.

Success depends on collaboration. Environmental scientists, clinicians, veterinarians, data scientists, and policy makers must work together to ensure that research outputs are decision relevant. Partnerships with utilities and local authorities are essential to translate data into real-world risk management.

The growing willingness of researchers, practitioners, and decision-makers to collaborate across sectors makes it possible to move from monitoring AMR to anticipating risks and informing timely and evidenced-based action.

Dr Jose L. Balcazar, Senior Researcher, Catalan Institute for Water Research, Spain and EDAR8 Scientific Program Committee member

Join us at EDAR8

Join us at EDAR8 to explore how One Health approaches, advanced modelling, and cross-sector collaboration can transform AMR surveillance into actionable solutions.