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Civic Data Literacies for Bottom-up Data Innovation

Published: 03 June 2019 Publication History

Abstract

This workshop is concerned with the potentials and barriers of data in facilitating bottom-up innovation. We focus on two specific communities that could benefit from utilizing data, but may struggle currently. Firstly, civil society participating in grassroots actions, who use public data for innovation and to strengthen their advocacy. Secondly, organisations - especially SME's - who want to make use of data, especially large complex data sets, to design data-driven services.

References

[1]
Mara Balestrini, Yvonne Rogers, Carolyn Hassan, Javi Creus, Martha King, and Paul Marshall. 2017. A city in common: a framework to orchestrate large-scale citizen engagement around urban issues. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2282--2294.
[2]
Anna De Liddo and Simon Buckingham Shum. 2013. The Evidence Hub: harnessing the collective intelligence of communities to build evidence-based knowledge. (2013).
[3]
Kees Dorst. 2011. The core of 'design thinking' and its application. Design studies 32, 6 (2011), 521--532.
[4]
Marijn Janssen, Yannis Charalabidis, and Anneke Zuiderwijk. 2012. Benefits, adoption barriers and myths of open data and open government. Information systems management 29, 4 (2012), 258--268.
[5]
Ian G Johnson, Aare Puussaar, Jennifer Manuel, and Peter Wright. 2018. Neighbourhood Data: Exploring the Role of Open Data in Locally Devolved Policymaking Processes. Proceedings of the ACM on Human-Computer Interaction 2, CSCW (2018), 83.

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    Published In

    cover image ACM Other conferences
    C&T '19: Proceedings of the 9th International Conference on Communities & Technologies - Transforming Communities
    June 2019
    375 pages
    ISBN:9781450371629
    DOI:10.1145/3328320
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    In-Cooperation

    • OCG: Oesterreichische Computer Gesellschaft
    • TU Wien: TU Wien
    • EUSSET: European Society for Socially Embedded Technologies

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 June 2019

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    Author Tags

    1. civic action
    2. data literacy
    3. innovation

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    • Extended-abstract
    • Research
    • Refereed limited

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    C&T 2019

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    C&T '19 Paper Acceptance Rate 29 of 59 submissions, 49%;
    Overall Acceptance Rate 80 of 183 submissions, 44%

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