research-article

Hacking with NPOs: Collaborative Analytics and Broker Roles in Civic Data Hackathons

Authors:

Dakuo WangAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 1, Issue CSCW

Article No.: 53, Pages 1 - 16

https://doi.org/10.1145/3134688

Published: 06 December 2017 Publication History

Abstract

Recently Nonprofit organizations (NPOs) are adopting more and more data-driven approaches to their work, yet NPOs often lack appropriate tools and expertise in such data related works. To compensate, many NPOs are using a new form of collaboration, civic data hackathons, to leverage on external volunteers' data expertise. In this paper, we sought to understand how civic data hackathons could generate impactful data analytics for NPOs' data-driven work, and how to support collaborative data analytics during hackathons. We collected various types of data (observations, surveys, and interviews) from two civic data hackathons with 9 NPOs and over 300 data volunteers in a Midwestern city in the U.S. Our results describe the collaboration activities and the types of actionable collaborative analytics outputs generated from these activities. We also identify a unique social group (i.e., client teams), who help with preparing and coordinating the event, perform brokering activities to support the collaborative analytics through the civic data hackathons. This broker role is vital for the success of the collaboration between domain experts and data experts. Our findings contribute to the CSCW research on the collaborative work of interdisciplinary hackathons, and to a broader understanding of civic data collaborations.

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Cited By

Zilberstein S(2024)Ethical Dilemmas and Collaborative Resolutions in Machine Learning Research for Health CareSocius: Sociological Research for a Dynamic World10.1177/2378023124125967110Online publication date: 20-Jun-2024
https://doi.org/10.1177/23780231241259671
Lin HKarusala NOkolo CD'Ignazio CGajos K(2024)"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good PartnershipsProceedings of the ACM on Human-Computer Interaction10.1145/36870098:CSCW2(1-28)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687009
Yang TMiceli M(2024)"Guilds" as Worker Empowerment and Control in a Chinese Data Work PlatformProceedings of the ACM on Human-Computer Interaction10.1145/36869048:CSCW2(1-27)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686904
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Index Terms

Hacking with NPOs: Collaborative Analytics and Broker Roles in Civic Data Hackathons
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 1, Issue CSCW

November 2017

2095 pages

EISSN:2573-0142

DOI:10.1145/3171581

Editors:
Clifford Lampe
University of Michigan
,
Jeff Nichols
Google
,
Karrie Karahalios
University of Illinois Urbana-Champaign
,
Geraldine Fitzpatrick
Vienna University of Technology
,
Uichin Lee
KAIST
,
Andres Monroy-Hernandez
Snap Inc.
,
Wolfgang Stuerzlinger
Simon Fraser University

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Copyright © 2017 ACM.

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Association for Computing Machinery

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Publication History

Published: 06 December 2017

Published in PACMHCI Volume 1, Issue CSCW

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Cited By

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https://doi.org/10.1177/23780231241259671
Lin HKarusala NOkolo CD'Ignazio CGajos K(2024)"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good PartnershipsProceedings of the ACM on Human-Computer Interaction10.1145/36870098:CSCW2(1-28)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687009
Yang TMiceli M(2024)"Guilds" as Worker Empowerment and Control in a Chinese Data Work PlatformProceedings of the ACM on Human-Computer Interaction10.1145/36869048:CSCW2(1-27)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686904
Shankar SGarcia RHellerstein JParameswaran A(2024)"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine LearningProceedings of the ACM on Human-Computer Interaction10.1145/36536978:CSCW1(1-34)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3653697
Tan MLee HWang DSubramonyam H(2024)Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in EducationProceedings of the ACM on Human-Computer Interaction10.1145/36373588:CSCW1(1-32)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637358
Pedersen ABossen C(2024)Data Work Between the Local and the Global: An Ethnography of a Healthcare Business Intelligence UnitProceedings of the ACM on Human-Computer Interaction10.1145/36373178:CSCW1(1-28)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637317
Li HWang YQu H(2024)Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI CollaborationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642726(1-19)Online publication date: 11-May-2024
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Taylor AHuang YHao JLin XChen XWang WLi C(2024)Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW)10.1109/ICDEW61823.2024.00040(267-277)Online publication date: 13-May-2024
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Clemens-Sewall MRafkin ECervantes C(2024)Domain Knowledge Elicitation for Data Curation to Promote Trustworthiness in Artificial Intelligence2024 International Conference on Assured Autonomy (ICAA)10.1109/ICAA64256.2024.00013(21-30)Online publication date: 10-Oct-2024
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Perin MMelo Lde Souza Cde Almeida AFilho F(2024)Developing and Validating a Scale for Motivation in participating in Time-Bounded Collaborative EventsInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103223(103223)Online publication date: Jan-2024
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