Analyzing Policy Diffusion Across States
A tool for studying how policies spread in the U.S.
― 6 min read
Table of Contents
PDViz is a tool designed to help people understand how policies spread across different states in the United States. When one state adopts a new policy, others may follow suit. This phenomenon is known as policy diffusion. Policymakers and researchers want to study these patterns to see why some states adopt certain policies and how effective those policies are once they are in place.
What is PDViz?
PDViz is an interactive platform that presents policy data through visual tools. It has three main views: Policy Diffusion Analysis, Geographic View, and Policy Adoption View. The interface allows users to analyze the flow of policies dynamically. Users can select different options from drop-down menus to explore various aspects of the data related to policy diffusion.
The Importance of Policy Diffusion
In the United States, different state governments implement various policies to tackle issues such as welfare, education, and safety. Many of these policies are replicated in other states. Researchers study these trends to identify the reasons behind adoptions and the effectiveness of these policies once they are implemented.
Understanding policy diffusion can help in the comparison of social, political, and contextual factors that lead to the adoption of certain policies. It allows researchers and policymakers to see patterns and influences across different regions.
How PDViz Works
PDViz provides a way to answer specific research questions that political scientists have raised in the past. Researchers used two main datasets: the State Policy Innovation and Diffusion Database (SPID) and the Correlates of State Policy Project (CSPP). These databases contain extensive information collected from various sources, including academic research and government reports.
PDViz presents data in a way that helps users see different features and trends. For example, users can analyze how policies spread over time and how they differ based on geography or specific topics.
Research Questions
The tool supports several key tasks that researchers are interested in:
Summarizing Policy Adoption: Users can track how policies were adopted over time and identify which states lead in policy diffusion.
Exploring Geo-Spatial and Temporal Context: Users can see how policies spread across different regions and how their impact changes over time.
Comparing Policy Diffusion by Topic: Users can investigate which states are leaders or laggards in various policy areas.
Analyzing Social and Political Factors: This allows users to assess how social issues, like demographics and crime rates, impact policy adoption.
PDViz aims to provide insights about these aspects, while many other tools focus only on certain parts of the analysis.
The Data Behind PDViz
PDViz uses data from two significant databases. SPID has the main information about policy diffusion, while CSPP includes various social and political factors. The combination of these datasets enables a comprehensive view of how policies are adopted across states.
The policy diffusion data consists of records that describe which policies are spreading from one state to another. This data covers a wide range of policies from 1691 to 2017 and includes several categories, such as health, education, and civil rights.
Understanding Policy Adoption
To understand how policies are adopted, PDViz utilizes various measures. One method is called Network Centrality, which helps identify the influence of different states in the policy diffusion network. States with high centrality may have a significant impact on the spread of policies, either by leading the way or being influenced by others.
Another measure is called Static State Innovativeness, which indicates how willing a state is to adopt policies quickly. A state that tends to adopt policies earlier than others is seen as more innovative.
User-Friendly Design
The PDViz interface is designed to be intuitive and easy to use. Users can select different analysis methods and measurements using drop-down menus. The default settings allow users to explore data from 1950 to 2017 to see how legislative activity increased after World War II.
The interface includes color coding to represent various relationships between states and their policy diffusion patterns. The use of different colors helps users quickly identify how policies flow between states.
Different Views in PDViz
Policy Diffusion Analysis View
This view allows users to explore patterns in policy diffusion. It consists of two main charts: the policy diffusion chart and the policy matrix chart. The policy diffusion chart shows how different states are connected when adopting policies. The policy matrix chart displays an overview of new policy creations and existing policies adopted by each state.
Map View
The map view presents geographic information related to policy diffusion. It uses choropleth maps to show how policies spread over different regions. Users can see the connections between states visually, helping to understand the geographical context of policy adoption.
Policy Adoption View
The policy adoption view allows users to analyze the number of policies adopted over time. It has tabs for different views, including By Year, By State, By Topic, and By Context. These tabs show bar charts that represent policy creation and adoption trends, allowing users to compare data across different dimensions.
Real-World Applications
Understanding Policy Roles
Users like policy analysts can ask questions such as what roles different states play in policy diffusion. PDViz allows them to assess how states influence each other in adopting new policies. By switching between various measurements, users can quickly identify which states are leading or lagging in policy adoption.
Analyzing Specific Issues
For instance, a journalist investigating policies related to minority hate crimes can utilize PDViz to find out when specific states adopted certain policies. By searching for keywords, they can track the adoption history and see which states acted first.
Feedback from Experts
To evaluate PDViz, experts in political science provided feedback on its usability and effectiveness. They found that the tool aligns well with their knowledge and aids in understanding policy diffusion patterns. Experts appreciated the multiple views offered by PDViz, and most rated the tool as easy to use.
The experts suggested various improvements, such as better illustration of diffusion networks and allowing users to upload their data. They also expressed interest in the tool's potential as an educational resource.
Limitations and Future Work
While PDViz has great potential, there are limitations. The data it uses mainly covers American policy, so there may be opportunities to expand its scope to include other countries. This would allow users to compare policy diffusion patterns globally.
Another area for improvement is comparing policy patterns over time. Users may find it valuable to see how diffusion patterns evolve, which the current version does not fully support.
Conclusion
PDViz is a powerful tool for understanding how policies spread across states in the United States. By allowing users to visualize data related to policy adoption, it helps policymakers, researchers, and the general public gain insight into how and why states adopt certain policies. The feedback from experts confirms its usefulness, and future enhancements can make it an even more valuable resource for analyzing policy diffusion.
Title: PDViz: a Visual Analytics Approach for State Policy Data
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.
Authors: Dongyun Han, Abdullah-Al-Raihan Nayeem, Jason Windett, Isaac Cho
Last Update: 2023-04-12 00:00:00
Language: English
Source URL: https://arxiv.org/abs/2304.04090
Source PDF: https://arxiv.org/pdf/2304.04090
Licence: https://creativecommons.org/licenses/by-nc-sa/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to arxiv for use of its open access interoperability.
Reference Links
- https://orcid.org/
- https://www.acm.org/publications/computing-classification-system/1998
- https://www.acm.org/publications/class-2012
- https://dl.acm.org/ccs.cfm
- https://vizus.cs.usu.edu/app/pdviz
- https://www.youtube.com/watch?v=jTpOVK1cSAU
- https://vizus.cs.usu.edu/downloads/pdviz/expert
- https://vizus.cs.usu.edu/downloads/pdviz/PDViz
- https://www.youtube.com/watch?v=Ezi