Dr. Mayzonee V. Ligaray delivered a keynote presentation titled "Engaging Communities in AI-based Sustainable Water Resources Management" at the AI for Science Conference 2026 in Seoul, South Korea, held from 27 September to 1 October. Her presentation highlighted the laboratory’s work under the AI-SWaMP.
AI-SWaMP leverages the statistical learning capabilities of artificial intelligence (AI), particularly machine learning or deep learning to identify patterns, relationships, and complex dynamics in Philippine watersheds for water resources management. Unlike large language models, which rely on resource-intensive data centers, AI-SWaMP uses local computers, workstations, or existing computing resources.
Additionally, this initiative will benefit data scarce communities who are experiencing water quality degradation by creating a system that addresses current data gaps in our monitoring systems. This not only helps us better understand watershed processes but also supports the government in making timely and contextualized decision making catered to specific water bodies.
More than technology, AI-SWaMP emphasizes that AI readiness begins with data, and data collection depends on collaboration and community participation. This is what has been fostered by the project with our collaborators. By working with local stakeholders, the project highlights the importance of shared responsibility and community empowerment in protecting our water resources.
Above all, it is our firm conviction that the adoption of the latest technologies must be for the benefit of our communities.