Dear Colleagues,
Don't forget to register for our upcoming webinar on July 28 on Using Big Data and Machine Learning to Predict Poverty and Malnutrition for Targeting, Mapping, Monitoring, and Early Warning. In this webinar, co-organized by Cornell University, 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.
When: July 28, 2021, 8:00-9:30 AM EDT
Where: Register here
Presenters:
Linden McBride, Research Economist, Center for Economic Studies, U.S. Census Bureau, USA
Yanyan Liu, Senior Research Fellow, Markets, Trade and Institutions Division, IFPRI, USA
Chris Browne, PhD Candidate, Center for Applied Mathematics, Cornell University, USA
Medha Bulumulla, Research Assistant, Cornell University, USA
Moderator:
Christopher B. Barrett, SB&JG Ashley Professor, Cornell University, USA
Discussant:
Rob Vos, Director of Markets, Trade and Institutions Division, IFPRI, USA
We also encourage you to share this webinar link with any interested colleagues. Please register for the webinar, which will be held on July 28, 2021 at 8:00 AM EDT. We look forward to your participation.
Best,
The Food Security Portal Team
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