Call for Papers: Special Issue on Critical Data Visualization
• 大类 : 计算机科学 - 4区
• 小类 : 计算机：软件工程 - 4区
Critical data visualization generally refers to the practice of examining and representing data with an awareness of the cultural, social, and ethical implications. These methods support consideration of the power structures embedded into visualization designs, inspection of the politics latent to research methods, and reflection on visualization content and context more broadly. Coming to prominence in information visualization from Dörk et al. (2013), the term critical visualization originally described principles for authoring visualizations that expose embedded values and support empowerment for readers. This field has since grown to encompass a range of topics—for instance, integrating considerations of how data and graphical practices might embrace feminist methods. Works in this area strive to challenge existing visualization dogmas and identify overlooked assumptions as a way to push conventional visualization practice toward more inclusive and reflective practices.
Despite growing usage, however, there is a lack of a shared definition of what ‘criticality’ refers to for visualization and how those ideas can be applied in a rigorous and useful manner. While this plural understanding of criticality has afforded a vast array of creative applications, it has precluded critical methods and goals from being broadly understood or adopted. Through this special issue, we aim to both complicate and coalesce the visualization research community’s understanding and definition of critical visualizations, as well as the challenges associated with it. For instance, answering questions like: How to design ‘critical’ visualizations? What are the goals of critical visualization? Or even, what is critical visualization? To address these concerns we invite essays, explorations, and empirical work on topics including:
- Examinations of how critical theory intersects with data visualization (theoretical or empirical)
- Critical methods that have led to new visualization methods, theories, or designs
- • Investigations of the relationship between criticality and feminism in visualization
- • Reflections on the ethical implications of visualization research
- Challenges to appropriateness of critical theory for visualization research
- • Case studies of critical methods applied to visualization (for example, speculative design/auto-ethnography/diffraction)
- New means of critically evaluating visualizations
- Grand challenges for critical visualization.