51 citations · 82 across the 3 of their papers we have counts for
4 papers
Predicting Economic Development using Geolocated Wikipedia Articles
Evan Sheehan, Chenlin Meng, Matthew Tan +5
Progress on the UN Sustainable Development Goals (SDGs) is hampered by a persistent lack of data regarding key social, environmental, and economic indicators, particularly in devel…
Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery
Wenjie Hu, Jay Harshadbhai Patel, Zoe-Alanah Robert +6
Millions of people worldwide are absent from their country's census. Accurate, current, and granular population metrics are critical to improving government allocation of resources…
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans
Huaiyang Zhong, Xiaocheng Li, David Lobell +2
Eradicating hunger and malnutrition is a key development goal of the 21st century. We address the problem of optimally identifying seed varieties to reliably increase crop yield wi…
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning
Anthony Perez, Christopher Yeh, George Azzari +3
Obtaining detailed and reliable data about local economic livelihoods in developing countries is expensive, and data are consequently scarce. Previous work has shown that it is pos…