Visualization for the Digital Humanities
We are pleased to announce a call for papers for the 4th Workshop on Visualization for the Digital Humanities, “VIS4DH.” The call is open to all fields of the humanities/social sciences and all branches of visualization. We are particularly interested in papers that bring different disciplines together. The workshop is intended to put different ways of seeing, knowing, articulating, and transforming arguments into dialogue in order to foster and to intensify collaborations between humanities and visualization researchers.
Building Trust: Process & Interpretation
In this year’s workshop, we will explore questions of how to build trust when working at the intersection of visualization and humanities-related fields. There are many ways in which trust plays an important role in these collaborations, including questions around general methodologies, approaches to research questions, data collection, extraction and transformation, visual encodings, as well as interpretation and deriving knowledge. The role of visualization in communication has made it key in collaborations spanning many fields related to the humanities, including the arts, history, social sciences, linguistics, literary studies and beyond. The target of this workshop is to explore ways in which trust can be built, strengthened, and maintained when communicating and transferring methodologies, designing tools and encodings, collecting and curating data, and deriving knowledge.
Some guiding questions for the 2019 workshop:
- How can we deal with different kinds of uncertainty (in data, methodology, research questions, visual encodings, and interpretation)?
- How can one make trustworthy visualizations for humanistic research?
- What does trust mean for different communities and sub-communities?
- How can trust be established in transdisciplinary projects?
- How much does trust rely on full understanding of methods, encodings, and other context, especially when collaborating across disciplines?
- What do humanities researchers need to see and know to be able to trust visualization, as a tool and process?