Interpretable Poverty Mapping using Social Media Data, Satellite Images, and Geospatial Information
Published in NeurIPS 2020, Workshop on Machine Learning for the Developing World, 2020
We use open source data to predict poverty indices at a granular level across the Philippines and beat previous benchmarks on the task.