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Event Series Event Series: Special Seminar Series

Targeting humanitarian aid with machine learning and digital data | Emily Aiken

February 15 @ 12:30 pm - 2:00 pm

Abstract: The majority of humanitarian aid and social protection programs globally are targeted, providing assistance to individuals or communities identified to be poorest or most in need. In low- and middle-income countries, the targeting of aid programs is often limited by low-quality, out-of-date, or missing data on poverty and vulnerability. Novel “big” digital data sources, such as those captured by satellites, mobile phones, and financial services providers — when combined with advances in machine learning — can improve the accuracy of aid program targeting. In this talk, I will cover empirical results on the accuracy of these new data-driven and algorithmic approaches to aid allocation, and will discuss emergent implications for fairness, privacy, transparency, and community dynamics.

Details

Date:
February 15
Time:
12:30 pm - 2:00 pm
Series:
Event Category:

Organizer

HDSI General

Other

Format
Hybrid
Speaker
Emily Aiken
Event Recording Link
https://ucsd.zoom.us/j/99788551702