(Q40268498)

19 September 2017

title

Predicting poverty and wealth from mobile phone metadata (English)

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19 September 2017

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Joshua Blumenstock

1

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19 September 2017

Gabriel Cadamuro

series ordinal

2

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19 September 2017

Robert On

series ordinal

3

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19 September 2017

language of work or name

English

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publication date

1 November 2015

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19 September 2017

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19 September 2017

volume

350

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19 September 2017

issue

6264

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19 September 2017

page(s)

1073-1076

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Computational social science

19 September 2017

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1 reference

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21 January 2018

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Identity and privacy. Unique in the shopping mall: on the reidentifiability of credit card metadata

21 January 2018

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Finite Automata and Their Decision Problems

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MEASURING ECONOMIC GROWTH FROM OUTER SPACE.

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Using luminosity data as a proxy for economic statistics

21 January 2018

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Targeting the Poor: Evidence from a Field Experiment in Indonesia

21 January 2018

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Collective response of human populations to large-scale emergencies

21 January 2018

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Big data. The parable of Google Flu: traps in big data analysis

21 January 2018

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First-Light Imagery from Suomi NPP VIIRS

21 January 2018

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Uncovering individual and collective human dynamics from mobile phone records

21 January 2018

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Inferring patterns of internal migration from mobile phone call records: evidence from Rwanda

21 January 2018

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21 January 2018

Identifiers

DOI

10.1126/SCIENCE.AAC4420

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19 September 2017

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