Ifpri Podcast

Food Security Portal Virtual Seminar Using Big Data and Machine Learning to Predict Poverty and Malnutrition for Targeting, Mapping, Monitoring, and Early Warning July 28, 2021, 08:00 am EDT Increasingly plentiful data and powerful predictive algorithms have heightened the promise of data science for humanitarian and development programming. As agencies increasingly embrace and invest in machine learning methods for poverty and malnutrition targeting, mapping, monitoring, and early warning, it is essential to recognize that different objectives require distinct data and methods. In this webinar, we highlight the differences between poverty and malnutrition targeting and mapping, the differences between structural and stochastic deprivation, and the modeling and data challenges of early warning systems development based on machine learning methods. We also present two studies that apply machine learning methods to predict poverty and malnutrition. This webinar is the second of a two-part webinar to present