Applications and Implications of Big Data for Demo-Economic Analysis:The Case of Call-Detail Records

This dissertation analyzes and discusses various applications and implications of BigData for demo-economic analysis, focusing on the analysis of cell-phone data collected by telecommunication operators for billing purposes, commonly referred to as call-detail records, or CDRs, which include the time and duration of calls, the location of the emitter and receiver, etc. This is done by placing the resulting opportunities and challenges within the broader context of the ‘Data Revolution.

Topics

AI and Statistics for the SDGs

Author(s)

Author(s): 
Emmanuel Letouzé

Partner Organization(s)

Data-Pop Alliance

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