5 min. read. Machine Learning techniques are proving to be a practical method to generate data. These techniques are being increasingly used by data generation and research teams,offering quicker and less expensive alternatives to traditional data collection and processing methods. They are also a great tool to complement official estimates for key socioeconomic indicators, … [Read more...] about Machine learning, a key tool to inform future policy in Haiti
Laura Giles Álvarez
Laura Giles Álvarez is the Country Economist at the Inter-American Development Bank (IDB) Country Office in Haiti. She previously worked as a country economist in the Barbados and The Bahamas country offices and as a young professional in the Social Protection and Health Division and the Economics Team at the Caribbean Country Department at IDB. Laura has a decade of experience working as an economist in Asia, Africa, Latin America and the Caribbean, focusing on public financial management and fiscal policy.