Ofir Reich

#18 - Ofir Reich on using data science to end poverty & the spurious action-inaction distinction

Ofir Reich, Keiran Harris, Rob Wiblin

The Center for Effective Global Action at UC Berkeley advances global poverty alleviation through three core initiatives: fostering academic networks, enforcing research transparency to combat the reproducibility crisis, and directing funding for over 70 academics to study poverty. Recent data science projects led by Ophir Reich apply machine learning to detect tax evasion in India, optimize agricultural yields via mobile platforms in Ethiopia and India, and evaluate mobile salary payments for Afghan teachers. These efforts rely on rigorous randomized controlled trials and open data practices, while the organization advises aspiring practitioners to prioritize high-impact roles in established institutions to build the necessary technical capital for long-term effectiveness.