Source: Heteropian studies, 2017...airtime credit purchases) from Orange in Côte d’Ivoire,...
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Linnet Taylor TILT, Tilburg University Netherlands 5.3.2019
Transcript of Source: Heteropian studies, 2017...airtime credit purchases) from Orange in Côte d’Ivoire,...
Linnet TaylorTILT, Tilburg University
Netherlands5.3.2019
Source: Heteropian studies, 2017
Olivier Charles 2009
Flowminder 2010
United Nations (2014)
Volume vs. quality: 165 acknowledgement slips (by 2014) with photos of non-humans
Data volume = power
Using mobile network data (specifically the communication patterns as well as the history of airtime credit purchases) from Orange in Côte d’Ivoire, researchers estimated the relative income of individuals, and the diversity and inequality of income. They then collectively used these measures to understand socio-economic segregation at a fine-grained level for Côte d’Ivoire. The above figure shows the poor areas (in blue) in relation to the areas of high economic activity (yellow to red areas).
(Gutierrez et al. 2013)
Orange Telecom D4D challenge, 2012
my data
Data about people like
me
Data about me
Provided:NamePolitical party membershipMobile #
Collected:Phone metadataGPS location historySatellite data
Inferred:Consumer preferencesPolitical affiliationRisk quotient
Harvard Humanitarian Initiative 2015
Sincerelyemilyanne.com
FIPPs
Data Justice
Human Rights
Research Ethics
Data Protection
Privacy
Articulated needs
Nondiscrimination
Engagement with
technologyVisibility
DATA JUSTICE
Seeking common principles
