Poster Open Access
Data visualization is frequently used in Digital Humanities for exploration, analysis, making an argument, or grappling with large-scale data. Increasing access to off-the-shelf data visualization tools is beneficial to the field, but it can lead to homogenized visualizations.
Data physicalization has potential to defamiliarize and refresh the insight that data visualizations initially brought to DH. Proliferation in 3D modeling software and relatively affordable 3D printing technology makes iterative, computer-generated data physicalization more feasible. Working in three dimensions gives additional affordances: parallel data series can be seen next to each other, rather than color-coded, overlapped, or staggered; and physical objects can be viewed from multiple angles, allowing for changing perspective.
This project explores new ways of engaging with a dataset and the arguments and narratives behind it, in order to challenge the dominant paradigms of conventional screen-based data visualization. The project currently comprises: