Modeling 150 million geolocated credit card transactions to identify a novel multibillion-dollar economic impact of air pollution
R package that automates policy analysis and identifies policy misalignment with neural embeddings
Identifies regions underserving target demographics with road network analysis
Neural networks, clustering, SVM, GBM, and ridge regression to predict energy generation.
Computer vision and natural language processing to identify demographic differences in topic engagement
An open data web portal that monitors inclusivity and equity at a neighborhood scale in 30 global cities