Parameterizing the dynamics of slums

Amy Wesolowski, Nathan Eagle

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

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
Pages103-108
Number of pages6
VolumeSS-10-01
StatePublished - Oct 21 2010
Externally publishedYes
Event2010 AAAI Spring Symposium - Stanford, CA, United States
Duration: Mar 22 2010Mar 24 2010

Other

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

Fingerprint

Mobile phones
Economics

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Wesolowski, A., & Eagle, N. (2010). Parameterizing the dynamics of slums. In Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report (Vol. SS-10-01, pp. 103-108)

Parameterizing the dynamics of slums. / Wesolowski, Amy; Eagle, Nathan.

Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report. Vol. SS-10-01 2010. p. 103-108.

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

Wesolowski, A & Eagle, N 2010, Parameterizing the dynamics of slums. in Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report. vol. SS-10-01, pp. 103-108, 2010 AAAI Spring Symposium, Stanford, CA, United States, 3/22/10.
Wesolowski A, Eagle N. Parameterizing the dynamics of slums. In Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report. Vol. SS-10-01. 2010. p. 103-108
Wesolowski, Amy ; Eagle, Nathan. / Parameterizing the dynamics of slums. Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report. Vol. SS-10-01 2010. pp. 103-108
@inproceedings{7ac923395ce24f9ca234e47d76164754,
title = "Parameterizing the dynamics of slums",
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.",
author = "Amy Wesolowski and Nathan Eagle",
year = "2010",
month = "10",
day = "21",
language = "English (US)",
isbn = "9781577354550",
volume = "SS-10-01",
pages = "103--108",
booktitle = "Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report",

}

TY - GEN

T1 - Parameterizing the dynamics of slums

AU - Wesolowski, Amy

AU - Eagle, Nathan

PY - 2010/10/21

Y1 - 2010/10/21

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77957970126&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77957970126&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:77957970126

SN - 9781577354550

VL - SS-10-01

SP - 103

EP - 108

BT - Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report

ER -