PDViz: a Visual Analytics Approach for State Policy Data
April 08, 2023 Β· Declared Dead Β· π Computer graphics forum (Print)
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Authors
Dongyun Han, Abdullah-Al-Raihan Nayeem, Jason Windett, Isaac Cho
arXiv ID
2304.04090
Category
cs.HC: Human-Computer Interaction
Citations
4
Venue
Computer graphics forum (Print)
Last Checked
4 months ago
Abstract
Sub-national governments across the United States implement a variety of policies to address large societal problems and needs. Many policies are picked up or adopted in other states. This process is called policy diffusion and allows researchers to analyze and compare social, political, and contextual characteristics that lead to adopting certain policies, as well as the efficacy of these policies once adopted. In this paper, we introduce PDViz, a visual analytics approach for social scientists to dynamically analyze the policy diffusion history and underlying patterns. It is designed for analyzing and answering a list of research questions and tasks posed by social scientists in prior work. To evaluate our system, we present two usage scenarios and conduct interviews with domain experts in political science. The interviews highlight that PDViz provides the result of policy diffusion patterns that align with their domain knowledge as well as the potential to be a learning tool for students and researchers to understand the concept of policy diffusion.
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