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In the process of developing a smart city framework, sensor data are crucial to enable cities and communities to make informed decisions on future plans. Involving community-based organizations and residents is an integral component of this process to ensure equity and accessibility of data. This study aims to develop a sociotechnical network to (1) identify vulnerability zones; (2) measure data on flooding, air, and water quality; and (3) inform community members and decision-makers through a data dashboard. A small coastal town in the Texas Coastal Bend region is utilized as a case study. Methodologically, this study utilizes participatory action research to frame a mixed-methods approach toward developing a data dashboard. This research project is a practical guide for engaged scholars in the social sciences, engineering, and urban design fields. The outcomes include recommendations for the engaged community and provide a data-dashboard targeting academic and non-academic audiences, residents, and decision-makers.
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The Opportunity Cost: Using a Narrative Approach to Reframe Pro-equity Urban Informatics
This paper is an exploration of storytelling in an urban data dashboard. We follow two frameworks to describe the narrative elements (characters, spatial dimension, sequentiality & temporality, and tellability) of the dashboard. This narrative analysis allows us to characterize the narrative work that urban dashboards do, enabling the interpretation that produces meaning from data. By describing how an urban data dashboard tells stories, we aim to start a line of inquiry into how a narrative approach to analyses of data visualizations can support agonistic data practices.
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- Award ID(s):
- 1901367
- PAR ID:
- 10526532
- Publisher / Repository:
- ACM
- Date Published:
- ISBN:
- 9798400701290
- Page Range / eLocation ID:
- 91 to 95
- Format(s):
- Medium: X
- Location:
- Minneapolis MN USA
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3584931.3607005
