Regional EMIS data collection and deep learning indicator estimation in active collaboration with government and civil society partners in the Philippines, Cambodia, and Nigeria — extending school-level data coverage to contexts where existing systems fall short.
Partner Regions
Each regional program involves direct collaboration with national and sub-national education partners on data collection, validation, and capacity building.
School-level EMIS data from the Department of Education's BEIS system, with a focus on equity, WASH, and learning outcomes in Mindanao and the Bangsamoro region.
Sub-national EMIS data collection with a focus on school infrastructure, teacher deployment, and enrollment across rural and peri-urban areas.
State-level school census data focusing on out-of-school children, gender parity, and resource gaps — complementing national EMIS which has significant coverage limitations.
Project Structure
Direct partnership with national and sub-national education ministries and civil society organizations to collect, validate, and geocode school-level administrative census data beyond what is publicly available — filling gaps in the OEDC dataset and enabling longitudinal analysis.
Deep learning models trained on GEDEx partner data to estimate missing EMIS indicators — enrollment, resources, outcomes — in data-sparse schools and regions. Models use satellite imagery, spatial context, and auxiliary signals to generalize beyond the training regions.
Funding