Predicting poverty and wealth from mobile phone metadata.
about
Mapping poverty using mobile phone and satellite dataThe promises of big data and small data for travel behavior (aka human mobility) analysis.ECONOMICS. Fighting poverty with data.Digital footprints: facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologiesBeyond prediction: Using big data for policy problems.To use or not to use? Compulsive behavior and its role in smartphone addictionMobile Phones and Mental Well-Being: Initial Evidence Suggesting the Importance of Staying Connected to Family in Rural, Remote Communities in UgandaLarge-scale physical activity data reveal worldwide activity inequality.Socioeconomic correlations and stratification in social-communication networks.The long-run poverty and gender impacts of mobile money.Institutional Context of Family Eldercare in Mexico and the United States.Material wealth in 3D: Mapping multiple paths to prosperity in low- and middle- income countriesCombining disparate data sources for improved poverty prediction and mapping.Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.Localised estimates and spatial mapping of poverty incidence in the state of Bihar in India-An application of small area estimation techniques.Speculative futures: Cities, data, and governance beyond smart urbanismSequences of purchases in credit card data reveal lifestyles in urban populationsRecovering Individual’s Commute Routes Based on Mobile Phone Data
P2860
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P2860
Predicting poverty and wealth from mobile phone metadata.
description
2015 nî lūn-bûn
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2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
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2015年论文
@zh
2015年论文
@zh-cn
name
Predicting poverty and wealth from mobile phone metadata.
@en
type
label
Predicting poverty and wealth from mobile phone metadata.
@en
prefLabel
Predicting poverty and wealth from mobile phone metadata.
@en
P2093
P2860
P356
P1433
P1476
Predicting poverty and wealth from mobile phone metadata.
@en
P2093
Gabriel Cadamuro
Joshua Blumenstock
P2860
P304
P356
10.1126/SCIENCE.AAC4420
P407
P577
2015-11-01T00:00:00Z