This open-source tool developed in collaboration with the IDB applies machine learning to review the quality of data used to determine eligibility for social programs in Colombia and the Dominican Republic. One of the keys to implementing or evaluating a social program is having good data. And, in this sense, well-designed information systems for social programs are key to … [Read more...] about Meet the Atypical Data Classifier, a system to review data quality for social programs
Luis Tejerina is a Lead Specialist in the IDB’s Social Protection and Health Division, where he works on projects on conditional cash transfers and more efficient and effective use of technology. He has a Master’s in Economics from the University of Maryland.