Predicting poverty and wealth from mobile phone metadata

Domaine:

socioeconomic

Type de record:

paper

Créateur:

JosGabRob

Éditeur:

Ame

Hôte:

Predicting unmeasurable wealth In developing countries, collecting data on basic economic quantities, such as wealth and income, is costly, time-consuming, and unreliable. Taking advantage of the ubiquity of mobile phones in Rwanda, Blumenstock et al. mapped mobile phone metadata inputs to individual phone subscriber wealth. They applied the model to predict wealth throughout Rwanda and show that the predictions matched well with those from detailed boots-on-the-ground surveys of the population. Science , this issue p. 1073

Predicting Well-Being with Mobile Phone Data: Evidence from Four Countries

We provide systematic evidence on the potential for estimating household well-being from mobile phon

Predicting Tuberculosis from Real-World Cough Audio Recordings and Metadata

Tuberculosis (TB) is an infectious disease caused by the bacterium Mycobacterium tuberculosis and pr

Urban Mobility Flows from Mobile Phone Data

International audience Understanding human movements is critical for different scient

Why Do Mobile Phone Users in African Countries Switch Off and on Their Data? Evidence From Mobile Phone Users in Nigeria

Impacts of Mobile Phone Use on Poverty Reduction for Non-Commercial Farmers in Rural North Ghana

This paper presents findings from an investigation of the poverty-reduction impacts of mobile phone

Inferring Unusual Crowd Events From Mobile Phone Call Detail Records

The pervasiveness and availability of mobile phone data offer the opportunity of discovering usable