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research article

Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism

Helm, Paula
•
de Gotzen, Amalia
•
Cernuzzi, Luca
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July 1, 2023
Big Data & Society

The extractive logic of Big Data-driven technology and knowledge production has raised serious concerns. While most criticism initially focused on the impacts on Western societies, attention is now increasingly turning to the consequences for communities in the Global South. To date, debates have focused on private-sector activities. In this article, we start from the conviction that publicly funded knowledge and technology production must also be scrutinized for their potential neocolonial entanglements. To this end, we analyze the dynamics of collaboration in an European Union-funded research project that collects data for developing a social platform focused on diversity. The project includes pilot sites in China, Denmark, the United Kingdom, India, Italy, Mexico, Mongolia, and Paraguay. We present the experience at four field sites and reflect on the project's initial conception, our collaboration, challenges, progress, and results. We then analyze the different experiences in comparison. We conclude that while we have succeeded in finding viable strategies to avoid contributing to the dynamics of unilateral data extraction as one side of the neocolonial circle, it has been infinitely more difficult to break through the much more subtle but no less powerful mechanisms of paternalism that we find to be prevalent in data-driven North-South relations. These mechanisms, however, can be identified as the other side of the neocolonial circle.

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Type
research article
DOI
10.1177/20539517231206802
Web of Science ID

WOS:001088158300001

Author(s)
Helm, Paula
de Gotzen, Amalia
Cernuzzi, Luca
Hume, Alethia
Diwakar, Shyam
Ruiz Correa, Salvador
Gatica-Perez, Daniel  
Date Issued

2023-07-01

Publisher

Sage Publications Inc

Published in
Big Data & Society
Volume

10

Issue

2

Article Number

20539517231206802

Subjects

Data Colonialism

•

Paternalism

•

Diversity

•

Big Data

•

European Union

•

Research Policy

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LIDIAP  
FunderGrant Number

This work was funded by the EU Horizon 2020 program for research and innovation under grant agreement no. 823783. We would also like to thank Aalborg University and the IDIAP Institute for additional financial support, and the members of the research collo

823783

EU

Aalborg University

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Available on Infoscience
February 16, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/203918
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