Forecasting future health risks is no longer guesswork. TULIP fuses hydrodynamic particle tracking, climate projections, machine-learning risk maps and socio-economic data into a single modelling suite. Every water sample, lab culture and household survey flows into that digital twin, refining it week by week.
With a few clicks, policymakers can ask “What happens to antibiotic-resistant bacteria if summer heatwaves lengthen by two weeks?” or “How much plastic and AMR do we remove if we add reed-bed wetlands to three tributaries?” The model returns clear, cost-benefit curves that weigh public-health gains, carbon footprints and budget limits side-by-side.
Because the platform is open-source and co-developed with agencies in Italy and the Philippines, regional planners can adapt it to new catchments, new policies and even new pathogens. Evidence-based decisions cease to be a luxury; they become the default.