Mission
To harness data-driven intelligence and system-level modeling that advances human-centered, AI-driven decision support for sustainable water and environmental governance across local, national, and transboundary scales.
Vision
Smart Geo-AI envisions a future where artificial intelligence empowers sustainable water governance, co-developing intelligent systems that support resilient environments, equitable policy frameworks, and adaptive water management under climate stress.
Impact
The lab contributes to shaping data-informed environmental governance aligned with the United Nations Sustainable Development Goals (SDGs):
- SDG 2 – Zero Hunger
- SDG 6 – Clean Water and Sanitation
- SDG 11 – Sustainable Cities and Communities
- SDG 12 – Responsible Consumption and Production
- SDG 13 – Climate Action
- SDG 15 – Life on Land
Members of the Smart Geo-AI team have been featured among Stanford University's World's Top 2% Scientists (2020–2025) and have contributed to leading journals including Water Research, Journal of Hydrology, and Ecological Informatics.
Values
Bridging computational innovation with social and institutional realities, the lab designs inclusive, evidence-based technologies that connect science, policy, and practice for equitable water and environmental decision-making.