Artificial intelligence (AI)

IWMI is at the forefront of applying artificial intelligence (AI) to transform how water is understood, managed and governed. By improving the availability and accessibility of water data and strengthening institutional capacity, IWMI uses AI to make water management more efficient and inclusive. These technologies can identify patterns invisible to the human eye, forecast future conditions and adapt dynamically to changing realities, providing decision-makers with powerful insights to guide sustainable resource use. 

AI also helps translate complex data into meaningful information that anyone can understand. From skilled researchers to local water managers, users can interact with AI tools in their own language to visualize data, generate analyses and quickly develop responses to emerging water challenges. This not only saves time but also democratizes access to knowledge, allowing people at every level to act swiftly and confidently toward sustainable water futures. 

Contacts

Mariangel Garcia Andarcia

Mariangel Garcia Andarcia

Research Group Leader – Water Futures Data and Analytics
Ian Overton

Ian Overton

Acting Director – Water Data Science / Country Manager – Sri Lanka

Projects on this topic

Latest news on this topic

Science helps make humanitarian efforts in Sudan more targeted and sustainable

In Sudan, IWMI and partners are bringing science, data and tools to humanitarian settings so that local actors can manage emergencies and lay the foundation for resilient water, food and …

Researchers at Cairo Water Week urge stakeholders to link nature, data and people for a water-secure MENA

At the annual event in Egypt, IWMI and partners explored how to turn climate research into real-world water resilience across the Middle East and North Africa …

Recycling every drop

IWMI’s Javier Mateo-Sagasta discusses the social perceptions, economic constraints and policy challenges that hinder water reuse in the MENA region …

Science, innovation and community action tackle flood risks in Ethiopia’s Somali Region

Digital twin technology and climate-smart planning are converting the fragile landscapes of Ethiopia’s Somali Region into models of flood resilience, thereby protecting lives and rebuilding hope …

Latest publications on this topic

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WaterCopilot: a water management AI virtual assistant for the Limpopo River Basin Digital Twin – technical guide

International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation | December 30th, 2024
Vickneswaran, Keerththanan; Retief, H.; Padilha, R.; Dickens, Chris; Silva, Paulo; Garcia Andarcia, Mariangel
Open Access
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WaterCopilot: a water management AI virtual assistant for the Limpopo River Basin Digital Twin – user guide V0 202410

International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation | December 30th, 2024
Vickneswaran, Keerththanan; Retief, H.; Padilha, R.; Dickens, Chris; Silva, Paulo; Ghosh, Surajit; Garcia Andarcia, Mariangel
Open Access
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Limpopo River Basin Digital Twin Open Data Cube Catalog

International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation | December 4th, 2024
Afham, Abdul; Silva, Paulo; Ghosh, Surajit; Kiala, Zolo; Retief, H.; Dickens, Chris; Garcia Andarcia, Mariangel
Open Access