research-article

Participatory data collection and management in low-resource contexts: a field trial with urban refugees

Authors:

Carleen MaitlandAuthors Info & Claims

ICTD '19: Proceedings of the Tenth International Conference on Information and Communication Technologies and Development

Article No.: 18, Pages 1 - 12

https://doi.org/10.1145/3287098.3287104

Published: 04 January 2019 Publication History

Abstract

As access to and control of data becomes increasingly democratized, understanding the potential and constraints for low resource contexts has important implications for system design as well as practice. Our research pushes the bounds of current system deployment by proposing and testing an ICT-based participatory data management system to transform participants from data providers to data consumers. This tool begins with participatory design, which engages participants in deciding which types of data to collect. Then, it involves training them in data collection, analysis and management. This enables participants to gain basic data science skills to make informed decisions. Our study uses mixed methods to explore the feasibility and effects of this system with urban refugees living in Rwanda. The quantitative results indicate refugees' perceived effectiveness in using the system to build communities is directly influenced by system usability assessments, which in turn are influenced by education levels but not ICT self-efficacy. Qualitative results highlight the community-based interactions experienced by all participants and highlight important differences in pursuing projects with urban versus camp-based refugees.

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Cited By

Meiser MZinnikus I(2024)A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and OpportunitiesEnergies10.3390/en1709199217:9(1992)Online publication date: 23-Apr-2024
https://doi.org/10.3390/en17091992
Maitland CMartin JBravo MBertram A(2022)A Qualitative Difference: Integrating Qualitative Data into Humanitarian Response OperationsProceedings of the 2022 International Conference on Information and Communication Technologies and Development10.1145/3572334.3572398(1-18)Online publication date: 27-Jun-2022
https://dl.acm.org/doi/10.1145/3572334.3572398
Maitland CWong-Villacres MPereira RBahamóndez EPeres LBaguma R(2022)Digital Platform Use for Refugee Crisis ResponseProceedings of the 2022 International Conference on Information and Communication Technologies and Development10.1145/3572334.3572376(1-5)Online publication date: 27-Jun-2022
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Index Terms

Participatory data collection and management in low-resource contexts: a field trial with urban refugees
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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cover image ACM Other conferences

ICTD '19: Proceedings of the Tenth International Conference on Information and Communication Technologies and Development

January 2019

422 pages

ISBN:9781450361224

DOI:10.1145/3287098

Conference Chairs:
Rajesh Chandwani
IIM Ahmedabad, India
,
Pushpendra Singh
IIIT Delhi, India
,
Program Chairs:
Neha Kumar
Georgia Institute of Technology, USA
,
Rajesh Veeraraghavan
Georgetown University, USA

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 04 January 2019

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ICTD '19

ICTD '19: Tenth International Conference on Information and Communication Technologies and Development

January 4 - 7, 2019

Ahmedabad, India

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Cited By

Meiser MZinnikus I(2024)A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and OpportunitiesEnergies10.3390/en1709199217:9(1992)Online publication date: 23-Apr-2024
https://doi.org/10.3390/en17091992
Maitland CMartin JBravo MBertram A(2022)A Qualitative Difference: Integrating Qualitative Data into Humanitarian Response OperationsProceedings of the 2022 International Conference on Information and Communication Technologies and Development10.1145/3572334.3572398(1-18)Online publication date: 27-Jun-2022
https://dl.acm.org/doi/10.1145/3572334.3572398
Maitland CWong-Villacres MPereira RBahamóndez EPeres LBaguma R(2022)Digital Platform Use for Refugee Crisis ResponseProceedings of the 2022 International Conference on Information and Communication Technologies and Development10.1145/3572334.3572376(1-5)Online publication date: 27-Jun-2022
https://dl.acm.org/doi/10.1145/3572334.3572376
Tadic BRohde MRandall DWulf V(2022)Design Evolution of a Tool for Privacy and Security Protection for Activists Online: CyberactivistInternational Journal of Human–Computer Interaction10.1080/10447318.2022.204189439:1(249-271)Online publication date: 17-Apr-2022
https://doi.org/10.1080/10447318.2022.2041894
Fisher K(2022)People First, Data Second: A Humanitarian Research Framework for Fieldwork with Refugees by War ZonesComputer Supported Cooperative Work10.1007/s10606-022-09425-831:2(237-297)Online publication date: 1-Jun-2022
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Wallace SPapoutsaki ATan NGuo HHuang J(2021)Case Studies on the Motivation and Performance of Contributors Who Verify and Maintain In-Flux Tabular DatasetsProceedings of the ACM on Human-Computer Interaction10.1145/34795925:CSCW2(1-25)Online publication date: 18-Oct-2021
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