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Data-in-Place: Thinking through the Relations Between Data and Community

Published: 18 April 2015 Publication History

Abstract

We present findings from a year-long engagement with a street and its community. The work explores how the production and use of data is bound up with place, both in terms of physical and social geography. We detail three strands of the project. First, we consider how residents have sought to curate existing data about the street in the form of an archive with physical and digital components. Second, we report endeavours to capture data about the street's environment, especially of vehicle traffic. Third, we draw on the possibilities afforded by technologies for polling opinion. We reflect on how these engagements have: materialised distinctive relations between the community and their data; surfaced flows and contours of data, and spatial, temporal and social boundaries; and enacted a multiplicity of 'small worlds'. We consider how such a conceptualisation of data-in-place is relevant to the design of technology.

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    cover image ACM Conferences
    CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
    April 2015
    4290 pages
    ISBN:9781450331456
    DOI:10.1145/2702123
    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: 18 April 2015

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    Author Tags

    1. community
    2. data
    3. data-in-place
    4. digital civics
    5. place

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    April 18 - 23, 2015
    Seoul, Republic of Korea

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    CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
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