IWMI previews AI water modelling tool at UN General Assembly
The International Water Management Institute presented a preview of MaiWater AI during a UN General Assembly consultation hosted by the UAE mission. The initiative combines an AI-enhanced hydrological model, a decision-support dashboard, and a digital twin to help governments use fragmented water data for faster shared decisions in transboundary basins. A pilot in the Limpopo River Basin reportedly reduced model calibration time from months to hours, with a full launch planned for the 2026 UN Water Conference.
At the 81st UN General Assembly, IWMI presented MaiWater AI during a consultation arranged by the UAE’s UN mission. The package links a hydrological model enhanced by AI, a dashboard for decisions, and a digital twin. It sits under the CGIAR AI Hub and is delivered via the CGIAR Digital Transformation Accelerator, with backing from the UAE Presidential Court’s International Affairs Office.
The Limpopo pilot involved IWMI, American University of Sharjah, ai71, and LIMCOM. The basin covers Botswana, Mozambique, South Africa, and Zimbabwe. Organizers said calibration dropped from months to hours. More than 40 participants from government, finance, academia, and technology gave feedback. A launch is planned for December 2026 at the UN Water Conference, with possible expansion to Asian basins and ADB cooperation.
If such tools work as intended, water managers, farmers, hydropower operators, and border communities in shared basins could gain quicker, more consistent evidence for drought, flood, and allocation choices. Governments and regional bodies may find it easier to coordinate when data is harmonized, though benefits depend on capacity, funding, and trust. The Limpopo pilot may offer a test case for other regions, but wider social gains would likely hinge on fair access and sustained maintenance.