Improving official statistics in emerging markets using machine learning and mobile phone data

Improving official statistics in emerging markets using machine learning and mobile phone data

Abstract Mobile phones are one of the fastest growing technologies in the developing world with global penetration rates reaching 90%. Mobile phone data, also called CDR, are generated everytime phones are used and recorded by carriers at scale. CDR have generated groundbreaking insights in public h...

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Bibliographic Details
Main Authors: Eaman Jahani, Pål Sundsøy, Johannes Bjelland, Linus Bengtsson, Alex ‘Sandy’ Pentland, Yves-Alexandre de Montjoye
Format: Article
Language:English
Published: SpringerOpen 2017-05-01
Series:EPJ Data Science
Subjects:
mobile phone metadata
machine learning
data-driven development
vulnerable populations
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-017-0099-3

Internet

http://link.springer.com/article/10.1140/epjds/s13688-017-0099-3

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