English 238 (F 2019) – Bibliography for “Data Science”

The Schedule page includes links to parts of the bibliography relevant to specific classes. You can also see items in the bibliography filtered by these topic tags: Archives | Corpora | Data | Data narrative | Data science | Data structure | Data visualization | Digital humanities | Distant reading | Humanities | Infrastructure | Interpretation & interpretability | Science
Barrowman, Nick. “Why Data Is Never Raw.” The New Atlantis 56, no. Summer/Fall 2018 (2018): 129–35. https://www.thenewatlantis.com/publications/why-data-is-never-raw. Cite
Bowker, Geoffrey C., and Susan Leigh Star. Sorting Things out: Classification and Its Consequences. First paperback edition. Inside Technology. Cambridge, Massachusetts London, England: The MIT Press, 2000. Cite
Chadarevian, Soraya de, and Theodore M. Porter. “Introduction: Scrutinizing the Data World.” Historical Studies in the Natural Sciences 48, no. 5 (2018): 549–56. https://doi.org/10.1525/hsns.2018.48.5.549. Cite
Drucker, Johanna. “Humanities Approaches to Graphical Display.” Digital Humanities Quarterly 005, no. 1 (2011). http://www.digitalhumanities.org/dhq/vol/5/1/000091/000091.html. Cite
Gitelman, Lisa, ed. “Raw Data” Is an Oxymoron. Infrastructures Series. Cambridge, Massachusetts ; London, England: The MIT Press, 2013. http://laca-main.s3.amazonaws.com/rawdata.pdf. Cite
Jones, Matthew L. “How We Became Instrumentalists (Again): Data Positivism since World War II.” Historical Studies in the Natural Sciences 48, no. 5 (2018): 673–84. https://doi.org/10.1525/hsns.2018.48.5.673. Cite
Liu, Alan. Local Transcendence: Essays on Postmodern Historicism and the Database. Chicago: University of Chicago Press, 2008. Cite
Rosenberg, Daniel. “Data before the Fact.” In “Raw Data” Is an Oxymoron, 14–40. Cambridge, MA: MIT Press, 2013. http://laca-main.s3.amazonaws.com/rawdata.pdf. Cite