Can AI help build climate resilience in the Caribbean? Let’s look at housing. Capture housing data with AI and Earth Observation for disaster risk reduction and recovery. Leveraging AI and Earth Observation for a Resilient Caribbean Learn about how we harness AI and Earth observation (EO) to rapidly generate baseline geospatial data for resilient infrastructure efforts. Mapping Informal Migrant Settlements in Colombia Rapid detection of informal migrant settlements in Colombia using ML and time-series satellite images for efficient humanitarian response. Can ML improve humanitarian aid to Venezuelan refugees? Conducting field surveys along the Colombia-Venezuela border in the context of the Venezuelan mass migration crisis. Interpretable Poverty Mapping Rapid, cost-effective, and interpretable poverty mapping in the Philippines using machine learning and publicly available geospatial data. Mapping Digital Poverty in the Philippines Mapping the digital divide and the disparities of wealth and digital infrastructure in the Philippines. Zeroing in on the Philippines’ most vulnerable communities Mapping vulnerable communities using deep learning, satellite images, and nighttime lights. Leveraging GeoAI to Support Major Telcos in Southeast Asia Using AI to measure socioeconomic well-being across the Philippines to assist in high-CAPEX decision making. Bridging the Gap - How GeoAI enables better decision-making Delve into some of the fundamental concepts for Geospatial AI applications.
