Parameterizing the dynamics of slums

Amy P. Wesolowski, Nathan Eagle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

Over one billion people live in the world's 200,000 slums and informal settlements. We used data generated from mobile phones to better understand one of the largest slums, Kibera located in Nairobi, Kenya. Using call logs from June 2008 - June 2009 and theories from human geography, economics, sociology, journalists, and anthropologists as a basis, we tested the validity of a few prominent theories. In particular, we focused our research on migration patterns out of Kibera, inferring places of work, and tribal affiliations.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report
PublisherAI Access Foundation
Pages103-108
Number of pages6
ISBN (Print)9781577354550
StatePublished - 2010
Externally publishedYes
Event2010 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 22 2010Mar 24 2010

Publication series

NameAAAI Spring Symposium - Technical Report
VolumeSS-10-01

Other

Other2010 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA
Period3/22/103/24/10

ASJC Scopus subject areas

  • Artificial Intelligence

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