PDViz: A Visual Analytics Approach for State Policy Data

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dc.contributor.authorHan, Dongyunen_US
dc.contributor.authorNayeem, Abdullah‐Al‐Raihanen_US
dc.contributor.authorWindett, Jasonen_US
dc.contributor.authorCho, Isaacen_US
dc.contributor.editorHauser, Helwig and Alliez, Pierreen_US
dc.date.accessioned2023-03-22T15:07:15Z
dc.date.available2023-03-22T15:07:15Z
dc.date.issued2023
dc.description.abstractSub‐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 analyse and compare the 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 that allows social scientists to dynamically analyse the policy diffusion history and underlying patterns. It is designed for analysing 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 to understand the concept of policy diffusion.en_US
dc.description.number1
dc.description.sectionheadersMajor Revision from EuroVis Symposium
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14732
dc.identifier.issn1467-8659
dc.identifier.pages305-318
dc.identifier.urihttps://doi.org/10.1111/cgf.14732
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14732
dc.publisherEurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd.en_US
dc.rightsCC BY-NC Attribution-NonCommercial 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectinformation systems applications
dc.subjectsocial science
dc.subjectvisual analytics
dc.titlePDViz: A Visual Analytics Approach for State Policy Dataen_US
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