CFP: 2016 Workshop on Visualization for the Digital Humanities

Sunday, October 23, 2016 - 12:00am

We invite contributions for the 2016 Workshop on Visualization for the Digital Humanities.

This will be a one day workshop taking place as part of IEEE VIS 2016 in Baltimore, MD.

The purpose of this workshop is to propose new research directions in visualization for the digital humanities, to familiarize the visualization research community with the problems faced by digital humanities researchers, and to foster future collaboration between visualization and digital humanities research.

Despite the growing popularity of digital methods for research in the humanities, digital humanists are underserved by academics in visualization, and under-represented in visualization conferences. This is due to a number of factors:

The differences in rhetorics of proof and discovery (and so differences in data culture and use) in the humanities as opposed to other, typically scientific or analytic fields where visualization research is commonly focused.
The difficulty of performing task analysis and evaluation for many humanities questions, that may have no ground truth.

In text visualization specifically, the difference between the needs of digital humanists (who perform close readings and critical engagements with texts) as opposed to more standard text visualization scenarios (e.g. text analytics on datasets for intelligence or social media analysis).

Addressing these difficulties requires exposure of these data issues, interdisciplinary collaboration, and steering of future research directions.


This workshop is seeking work from scholars in both visualization and the humanities who use visualization as part of the process of analyzing and interrogating human culture. Submissions will present original research ideas or results as they relate to visualization for the digital humanities. Each submission should clearly state its specific contribution to this growing field of research.

Submissions will take the form of short (2-4 page) papers, falling into one of three submission types:

Extended Abstracts: These submissions are meant to highlight emerging visualization research in the digital humanities. The intention of these shorter submissions is to provide a platform for feedback for work that is still in progress, rather than present completed projects.

Short Papers: These submissions are meant to summarize more mature work in visualization for the digital humanities, including case studies, system descriptions, and empirical results. Of special consideration are works that highlight the difficulties (and propose solutions) of designing visualizations for the digital humanities. Applied work from the digital humanities that is highly visual in nature would also be considered for acceptance.

Position Papers: These submissions are meant to present viewpoints and opinions on the interplay between visualization and the digital humanities. These positions should be informed by deep involvement and experience in one (or ideally, both) fields. Position papers should be thought-provoking but also well-supported.

Authors of accepted short and position papers will be invited for a 9-minute research presentation (including 2 minutes for audience questions). Additionally, they will participate in a moderated panel discussion. Authors of accepted extended abstracts will give 5 minute “fast-forward” presentations.

Submissions should be in two-column IEEE TVCG format.

Latex and Word templates available at:

Submissions will be optionally double blind. Authors wishing to submit their work double-blind should remove author information from the cover page of their submitted document, and take care to avoid identifying information in the submission itself (e.g., references to “our” work).

Submissions should be submitted via by 5 PM PST, 30 July 2016. Submissions should be in pdf format, and the submission email should clearly indicate the paper type: extended abstract, short paper, or position paper. Submissions should not exceed four pages.


The focus of this workshop is on applied visualization in the digital humanities, as well as highlighting domains in the digital humanities with unmet visualization challenges. These applications and domains include, but are not limited to:

  • Literature
  • Philology and Linguistics
  • Art and Art Criticism
  • Political Science
  • Performance (Music, Dance, Film, and Theatre)
  • Cultural and Historical Studies

We are especially interested in a number of open questions in this space, including:

  • The impact of visual analytics systems on research in the digital humanities:
    • How can interactive visualizations support new questions, and new scales of research, in the DH community?
    • How can we encourage DH scholars to seek out visualizations, or collaboration with visualization researchers?
  • Characteristics of visualization for the digital humanities:
    • How does visualization with a DH focus differ from general research in the visualization community? How do their user groups differ?
    • How can we remove obstacles for humanities scholars wanting to use visual analytics approaches for their research?
  • How digital humanities research questions and tasks can push the frontier of visualization research:
    • What challenges are there for developing systems with novelty in both visualization and DH communities?
    • How do we evaluate visualizations where we lack ground truth data?


30 July, 2016: Submission Deadline

12 August, 2016: Notification Deadline

26 August, 2016: Camera Ready Submission Deadline

23-28 October, 2016: IEEE VIS Conference


Christopher Collins, University of Ontario Institute of Technology
Michael Correll, University of Washington
Mennatallah El-Assady, University of Konstanz
Stefan Jänicke, University of Leipzig
Daniel Keim, University of Konstanz
David Wrisley, New York University Abu Dhabi / American University of Beirut

Program Committee

Markus John, University of Stuttgart
Steffen Koch, University of Stuttgart
Shejuti Silvia, University of Oklahoma
Eric Alexander, University of Wisconsin-Madison


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