Blog Index
The journal that this archive was targeting has been deleted. Please update your configuration.
Navigation

Writings > Topics & Theoretical Themes > Visualization

Below are my publications organized by topics and themes. If you'd like to see a list of writings please click here. 


Recent Publications:

Ribes D, Hoffman A, Slota S, Bowker GC (2019 - Online First) The Logic of Domains. Social Studies of Science (SSS). 

Ribes D (2018 - Online First) STS, Meet Data Science, Once Again. Science, Technology and Human Values (ST&HV).

Ribes D. 2019. How I Learned What a Domain Was. In Proceedings of the ACM on Human-Computer Interaction, Vol. 3, No. CSCW, Article 38, November 2019. ACM, New York, NY, USA. 12 pages. 

Inman S, and Ribes D (2019) "Beautiful Seams": Strategic Revelations and Concealments. Proceedings of CHI 2019. 

Vertesi J and Ribes D (eds. 2019) digitalSTS: A Field Guide for Science & Technology Studies. NJ: Princeton University Press. 

 

Click on a link for a PDF of the article or the journal web-page. Updated August 2016.

Search references for entries containing:

 

Ribes, D. (2014). Redistributing representational work: Tracing a material multidisciplinary link. In A. Carusi, A. S. Hoel, T. Webmoor & S. Woolgar (Eds.), Visualization in the Age of Computerization. London: Routledge.

We primarily understand multidisciplinary links to be human relationships across various domains of expertise. This human focus directs our attention at questions of communication, shared language, or diverging viewpoints. However, multidisciplinarity does not occur as solely a human-to-human link; rather, in the face of large datasets, scientists have come to rely on visualization software to automate the production of tractable representations. As such, this chapter follows the productive work of one computer scientist as she built visualization tools for the sciences and medicine using techniques from experimental psychology. While her methods and findings were documented in scholarly publications, her research outcomes independently informed the production of future visualization tools. Consequently, these technologies became incorporated into a process of scientific knowledge production in another field — directly sustaining a multidisciplinary relationship through technology itself, rather than relying exclusively on human-to-human collaborations.