Making Public Safety Data Accessible in the Westside Atlanta Data Dashboard
Katie O'Connell (Georgia Institute of Technology), Yeji Lee (Georgia, Institute of Technology), Firaz Peer (Georgia Institute of Technology), Shawn, M. Staudaher (University of Wyoming), Alex Godwin (Georgia Institute of, Technology)

TL;DR
This paper presents a human-centered, interactive data dashboard designed to improve accessibility and analysis of public safety data for Atlanta's Westside community, addressing local needs and promoting community-driven insights.
Contribution
It introduces a community-focused, interactive visualization tool tailored to local public safety data, emphasizing user needs and spatial analysis capabilities.
Findings
Development of an accessible mapping and visualization tool
Integration of overlays for spatial correlation of data
Finalization of a user-centered public safety dashboard
Abstract
Individual neighborhoods within large cities can benefit from independent analysis of public data in the context of ongoing efforts to improve the community. Yet existing tools for public data analysis and visualization are often mismatched to community needs, for reasons including geographic granularity that does not correspond to community boundaries, siloed data sets, inaccurate assumptions about data literacy, and limited user input in design and implementation phases. In Atlanta this need is being addressed through a Data Dashboard developed under the auspices of the Westside Communities Alliance (WCA), a partnership between Georgia Tech and community stakeholders. In this paper we present an interactive analytic and visualization tool for public safety data within the WCA Data Dashboard. We describe a human-centered approach to understand the needs of users and to build accessible…
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Taxonomy
TopicsGeographic Information Systems Studies · Data Visualization and Analytics · Human Mobility and Location-Based Analysis
