In Yemen, the OOI is piloting AI-based anomaly detection for UNICEF’s cash transfer program. The project hopes to build on existing anomaly detection algorithms and move beyond detecting “predictable anomalies” with the use of AI. The goal is to help find suspicious transactions and avoid the loss of much-needed funds, tackling fraud in a cash transfer program that has already reached 1.4 million beneficiaries and impacted 9 million people, almost a third of the country’s population.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThis project set out to provide accurate and granular estimates of air quality for Lao PDR through the installation of 154 air quality sensors in schools across the country and the development of a machine learning model to infer air quality from geospatial and weather data. This modeling work builds upon and extends air quality modeling work previously done with partner Thinking Machines in Thailand.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThis project aims to explore the potential of generative AI to create interactive digital textbooks for a wide audience of learners (with an initial focus on Latin America and Eastern and Southern Africa, where ADTs are already in use), and to generate evidence on the use of AI for inclusive education. Generative AI can significantly reduce the cost of production of accessible digital formats.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThis initiative explores the use of household survey data, enhanced and expanded through artificial intelligence and other data technologies, combined with high-resolution population estimates, and leveraged in geospatial assets, to complement administrative data in providing evidence to find and serve unreached children (zero-dose or under-immunized) with immunization and other child rights, starting with birth registration.
Activity Type AI Tools/SolutionsResearch/Reports/Assessments