Address
Heidelberg University
Im Neuenheimer Feld 205, 4/325
69120 Heidelberg
Germany
Contact
Uliana Kachnova
uliana.kachnova@uni-heidelberg.de
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.
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.