Redistrict online: Supporting public school rezoning deliberations through visualization of complex data and multidisciplinary constraints

Sistrunk, Andreea, Self, Nathan, Biswas, Subhodip, Luther, Kurt, Verdezoto, Nervo Xavier ORCID: https://orcid.org/0000-0001-5006-4262 and Ramakrishnam, Naren 2024. Redistrict online: Supporting public school rezoning deliberations through visualization of complex data and multidisciplinary constraints. Proceedings of the ACM on Human-Computer Interaction 8 , 116. 10.1145/3637393

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Abstract

Public deliberations are often a staple ingredient in community decision-making. However, traditional, timeconstrained, in-person debates can become highly polarized, eroding trust in authorities, and leaving the community divided. This is the case in redistricting deliberations for public school zoning. Seeking for alternative ways of support, we evaluated the potential introduction of an online platform that combines multiple streams of data, visualises school attendance boundaries, and enables the manipulation of representations of land parcels. To capture multiple stakeholders’ values about the potential to enhance public engagement in school rezoning decision-making through an online platform, we conducted interviews with 12 participants with previous experiences in traditional, in-person deliberations. Insights from the interviews highlight the several roles an online platform could take, especially as it provides alternative means of participation (online, synchronous, and asynchronous). Additionally, we discuss the potential for technology to increase the visibility and participation of multiple community actors in public deliberations and present implications for design of future tools to support public decision-making.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Association for Computing Machinery (ACM)
ISSN:	2573-0142
Date of First Compliant Deposit:	25 January 2024
Date of Acceptance:	9 November 2023
Last Modified:	13 Jun 2024 14:08
URI:	https://orca.cardiff.ac.uk/id/eprint/165829

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