Targeting Development Aid with Machine Learning and Mobile Phone Data
Author:
Affiliation:
1. UC Berkeley
2. World Bank
Funder
DARPA and NIWC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3378393.3402274
Reference12 articles.
1. G. Bedoya A. Coville J. Haushofer M. Isaqzadeh and J. Shapiro. 2019. No household left behind: Afghanistan Targeting the Ultra Poor impact evaluation. World Bank Policy Research Working Paper 8877 (2019). G. Bedoya A. Coville J. Haushofer M. Isaqzadeh and J. Shapiro. 2019. No household left behind: Afghanistan Targeting the Ultra Poor impact evaluation. World Bank Policy Research Working Paper 8877 (2019).
2. Fighting poverty with data
3. Predicting poverty and wealth from mobile phone metadata
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