Internet access is critical for education. Having it means access to information and all the opportunities that information brings – from exposure to new ways of learning to engaging with the world beyond one’s own community.
Thanks to a challenge run by Omdena, we now have a model that can identify schools in Sudan from satellite imagery with 95% accuracy.
Mapping schools in Sudan using artificial intelligence Read More »
To accelerate our school mapping efforts, we collaborated with Mapbox to create a crowdsourced application to identify schools using satellite imagery.
Giga and Mapbox come together to map schools across the globe Read More »
Development Seed and UNICEF use AI to identify unmapped schools across Asia, Africa, and South America, building on our success mapping 23,100 unmapped schools in 8 countries.
Scaling AI to map every school on the planet Read More »
Training a machine learning model to identify schools from satellite imagery of developing countries is a difficult task. UNICEF and Tryolabs partnered to understand how UNICEF’s Machine Learning model was actually performing by employing explainable artificial intelligence (XAI) methods.
Using AI to connect every school to the internet Read More »
SIMET data is shared with Giga, which aims to map and increase the number of connected schools around the world.
The project aims to support the universalization of high-speed Internet access and encourage the pedagogical use of digital technologies in basic education policy.
Connected Education Internet Measurement System Read More »
Three-year initiative to identify connectivity gaps in 35 countries is a critical first step in connecting every school to the internet
Ericsson and UNICEF launch global partnership to map school internet connectivity Read More »