What Data Do and Do Not Represent: Visualizing the Archive of Slavery
Authors
Shiyao Li, Margy Adams, Tanvi Sharma, Jay Varner, Lauren Klein
Presentation
- Session
- Applications, Domain Science & Data Representation
- Time
- Thursday, Nov 12, 08:48 – 09:00 (US/Eastern) · session 08:00 – 09:30
- Location
- Hall Essex center
Abstract
This article presents a design report on a humanistically informed data visualization of a dataset related to the trans-Atlantic slave trade. The visualization employs a quantitative dataset of slaving voyages that took place between 1565 and 1858 and uses historical scholarship and humanistic theory in order to call attention to the people behind the data, as well as to what the data do not or cannot represent. In this article, we summarize the intersecting histories of slavery and data and then outline the theories that inform our design: of the archive of slavery, of the dangers of restaging historical violence, and of visibility, opacity, representation, and resistance. We then describe our design approach and discuss the visualization’s ability to honor the lives of the enslaved by calling attention to their acts of resistance, both recorded and unrecorded.