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Direct linkRodriguez-Segura, Daniel; Kim, Brian Heseung – Grantee Submission, 2021
With recent advances in high-resolution satellite imagery and machine vision algorithms, fine-grain geospatial data on population are now widely available: kilometer-by-kilometer, worldwide. In this paper, we showcase how researchers and policymakers in developing countries can leverage these novel data to precisely identify "education…
Descriptors: Barriers, Academic Achievement, School Location, Proximity
