Topic: Flood resilience clear · back to the knowledge map
Most practices in: Bangladesh (1) · Fiji (1) · Iraq (1)
Since 2020, Google Research's machine-learning flood model — which forecasts river levels even in ungauged basins — has combined with Bangladesh Water …
Tuvalu's US$36m GCF-funded coastal defence programme embedded a formal Gender Action Plan, targeting a 50-50 gender split among 100+ project jobs, training …
Since 1941, Dutch regional water boards have run a nationwide muskrat/coypu control programme to stop dike-burrowing damage; in 2025 they trapped 84,438 …
Mozambique's INGD and INAM are piloting machine-learning forecasts atop a multi-hazard early-warning system that helped cut Cyclone Freddy's 2023 death toll to …
Nigeria's Hydrological Services Agency says it deployed deep-learning models trained on 200+ years of flood data for its 2026 Annual Flood Outlook, …
UNCDF and AI firm Tractable piloted a Fiji tool letting residents photograph cyclone/flood damage for AI-verified insurance claims, aiming to cut settlement …
Iraq's Prime Ministerial AI Advisor announced a small-scale AI trial at the Kufa and Al-Abbasiya water regulators near Najaf to monitor water …
Open full copilot Grounded in cited practices — always check the sources.
