Towards a tighter coupling of visualization and public policy making
Tobias Ruppert, Jürgen Bernard, Hendrik Lücke‐Tieke, Jörn Kohlhammer
Abstract
Tobias Ruppert, Jürgen Bernard, Hendrik Lücke‐Tieke, Jörn Kohlhammer
Abstract
The purpose of this ongoing work is to motivate public policy making as an application area for information visualization and visual analytics. Through our expertise gathered in several policy making-related projects, we identified parallels between the benefits of visualization and the needs of evidence-based public policy making. In the following, we will share our previous work consisting of the conceptual introduction of information visualization and visual analytics into the application field of public policy making. Moreover, we will show two real-world cases applying this concept. Finally, we will share identified challenges to be addressed by the information visualization and visual analytics domains in the future.
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The purpose of this ongoing work is to motivate public policy making as an application area for information visualization and visual analytics. Through our expertise gathered in several policy making-related projects, we identified parallels between the benefits of visualization and the needs of evidence-based public policy making. In the following, we will share our previous work consisting of the conceptual introduction of information visualization and visual analytics into the application field of public policy making. Moreover, we will show two real-world cases applying this concept. Finally, we will share identified challenges to be addressed by the information visualization and visual analytics domains in the future.
Key concepts: Visualization, Visual analytics, Parallels, Information visualization, Computer science, Data science, Data visualization, Analytics