English 238 (F 2019) – Bibliography

Cumulative Bibliography for English 238 (F 2019) — The Humanities & Data Science

The following is a cumulative bibliography of readings and other materials assigned in the course. (This bibliography is part of a group library kept in Zotero and automatically pulled into the WordPress site for the course using the Zotpress plugin.)

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
Alvarez-Melis, David, and Tommi Jaakkola. “Towards Robust Interpretability with Self-Explaining Neural Networks.” In Advances in Neural Information Processing Systems 31, edited by S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett, 7775–84. Curran Associates, Inc., 2018. http://papers.nips.cc/paper/8003-towards-robust-interpretability-with-self-explaining-neural-networks.pdf. Cite
Bailey, Jefferson. “Disrespect Des Fonds: Rethinking Arrangement and Description in Born-Digital Archives.” Archive Journal, 2013. https://web.archive.org/web/20170919162159/http://www.archivejournal.net/essays/disrespect-des-fonds-rethinking-arrangement-and-description-in-born-digital-archives/. Cite
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
Bartram, Lyn, Jeremy Boy, Paolo Ciuccarelli, Steven Drucker, Yuri Engelhardt, Ulrike Koeppen, Moritz Stefaner, Barbara Tversky, and Jo Wood. “NAPA Cards: Narrative Patterns for Data Stories,” 2016. http://napa-cards.net/. Cite
Battle-Baptiste, Whitney, and Britt Rusert, eds. W.E.B Du Bois’s Data Portraits: Visualizing Black America--The Color Line at the Turn of the Twentieth Century. First edition. [Amherst, Mass.] : Hudson, NY: The W.E.B. Du Bois Center At the University of Massachusetts Amherst ; Princeton Architectural Press, 2018. Cite
Blanchette, Jean-François. “Computing As If Infrastructure Mattered.” Commun. ACM 55, no. 10 (2012): 32–34. https://doi.org/10.1145/2347736.2347748. Cite
Blei, David M. “Probabilistic Topic Models.” Commun. ACM 55, no. 4 (2012): 77–84. https://doi.org/10.1145/2133806.2133826. Cite
Bod, Rens. A New History of the Humanities: The Search for Principles and Patterns from Antiquity to the Present. Oxford: Oxford University Press, 2013. Cite
Bode, Katherine. “The Equivalence of ‘Close’ and ‘Distant’ Reading; or, Toward a New Object for Data-Rich Literary History.” Modern Language Quarterly 78, no. 1 (2017): 77–106. https://doi.org/10.1215/00267929-3699787. Cite
DataJournalism.com. “Data Journalism Handbook 1,” 2012. https://datajournalism.com/read/handbook/one. 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
British Library. “Living with Machines.” The British Library. Accessed August 10, 2019. https://www.bl.uk/press-releases/2018/december/living-with-machines. Cite
Carnegie Mellon University. “Data Science Overview - Graduate Education - Carnegie Mellon University,” 2016. http://www.cmu.edu/graduate/data-science/index.html. Cite
Codd, E. F. “A Relational Model of Data for Large Shared Data Banks.” Commun. ACM 13, no. 6 (1970): 377–87. https://doi.org/10.1145/362384.362685. Cite
Davies, Mark. “Corpus.Byu.Edu (BYU Corpus Linguistics Corpora).” Accessed August 10, 2019. https://corpus.byu.edu/overview.asp. 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
Digital Public Library of America. “Home Page - Digital Public Library of America.” Digital Public Library of America, n. d. https://dp.la/. Cite
Donoho, David. “50 Years of Data Science.” Journal of Computational and Graphical Statistics 26, no. 4 (2017): 745–66. https://doi.org/10.1080/10618600.2017.1384734. 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
Drucker, Johanna. Graphesis: Visual Forms of Knowledge Production. MetaLABprojects. Cambridge, Massachusetts: Harvard University Press, 2014. Cite
European Journalism Centre. “Data Stories.” In Data Journalism Handbook 1, Web version. European Journalism Centre / DataJournalism.com, 2012. https://datajournalism.com/read/handbook/one/understanding-data/data-stories. Cite
Europeana Collections. “Home Page - Europeana Collections.” Europeana Collections, n. d. https://www.europeana.eu/portal/?locale=en. Cite
Few, Stephen. “Eenie, Meenie, Minie, Moe: Selecting the Right Graph for Your Message.” Perceptual Edge (blog), 2004. http://www.perceptualedge.com/articles/ie/the_right_graph.pdf. Cite
Few, Stephen. “Visual Pattern Recognition: Meaningful Patterns in Quantitative Business Information.” Perceptual Edge (blog), 2006. http://www.perceptualedge.com/articles/Whitepapers/Visual_Pattern_Rec.pdf. Cite
Garigo, David, and Yolanda Gil. DAta NArratives (DANA), 2017. https://doi.org/10.5281/zenodo.232075. Cite
Gil, Yolanda, and Daniel Garijo. “Towards Automating Data Narratives.” In Proceedings of the 22Nd International Conference on Intelligent User Interfaces, 565–76. IUI ’17. New York, NY, USA: ACM, 2017. https://doi.org/10.1145/3025171.3025193. 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
Guldi, Jo. “Critical Search: A Procedure for Guided Reading in Large-Scale Textual Corpora.” Journal of Cultural Analytics, 2018. https://doi.org/10.22148/16.030. Cite
Hallinen, Judith. “STEM: Education Curriculum.” In Encyclopedia Britannica. Encyclopedia Britannica, Inc., 2019. https://www.britannica.com/topic/STEM-education. Cite
HathiTrust. “HathiTrust Digital Library,” n. d. https://www.hathitrust.org/. Cite
HathiTrust. “HathiTrust Research Center,” n. d. https://www.hathitrust.org/htrc. Cite
Hind, Michael, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilović, Karthikeyan Natesan Ramamurthy, and Kush R. Varshney. “TED: Teaching AI to Explain Its Decisions.” ArXiv:1811.04896 [Cs], 2018. http://arxiv.org/abs/1811.04896. Cite
IBM Research. “AI Explainability 360 - Resources,” 2019. http://aix360.mybluemix.net/resources. Cite
Jevbratt, Lisa. 1:1 (2). 2001. Internet and Web. 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
Jones, Matthew L. “Querying the Archive: Data Mining from Apriori to PageRank.” In Science in the Archives: Pasts, Presents, Futures, 311–28. Chicago: University of Chicago Press, 2017. http://www.columbia.edu/~mj340/jones_2017_querying.pdf. Cite
Joseph, Sister Miriam. “What Are The Liberal Arts?” In The Trivium: The Liberal Arts of Logic, Grammar, and Rhetoric, 3–11. Philadelphia: Paul Dry, 2002. https://www.memoriapress.com/articles/what-are-the-liberal-arts/. Cite
Kang, Martha. “Exploring the 7 Different Types of Data Stories.” MediaShift, 2015. http://mediashift.org/2015/06/exploring-the-7-different-types-of-data-stories/. Cite
Keyes, Os. “Counting the Countless: Why Data Science Is a Profound Threat for Queer People.” Real Life, 2019. https://reallifemag.com/counting-the-countless/. Cite
Kräutli, Florian. “Visualising Cultural Data: Exploring Digital Collections Through Timeline Visualisations.” Thesis, Royal College of Art, 2016. http://researchonline.rca.ac.uk/1774/. Cite
Legrady, George. Pockets Full of Memories II. 2003. Computer and software installation. https://www.mat.ucsb.edu/g.legrady/glWeb/Projects/pfom2/pfom2.html. Cite
Legrady, George. Making Visible the Invisible. 2005. Computer and software installation. https://www.mat.ucsb.edu/g.legrady/glWeb/Projects/spl/spl.html. Cite
Liu, Alan. Local Transcendence: Essays on Postmodern Historicism and the Database. Chicago: University of Chicago Press, 2008. Cite
Liu, Yin. “Ways of Reading, Models for Text, and the Usefulness of Dead People.” Scholarly and Research Communication 5, no. 2 (2014). https://doi.org/10.22230/src.2014v5n2a148. Cite
Liu, Alan. “N + 1: A Plea for Cross-Domain Data in the Digital Humanities.” In Debates in the Digital Humanities, 2016:559–68. Minneapolis: University of Minnesota Press, 2016. https://dhdebates.gc.cuny.edu/read/untitled/section/d7f3fec8-4b39-4269-91c5-536a9bf25355#ch50. Cite
Liu, Alan. “The Meaning of the Digital Humanities.” PMLA 128, no. 2 (2013): 409–23. http://www.jstor.org/stable/23489068. Cite
Liu, Alan. Friending the Past: The Sense of History in the Digital Age. Chicago ; London: The University of Chicago Press, 2018. Cite
Lupi, Giorgia, and Stefanie Posavec. Dear Data. First edition. New York: Princeton Architectural Press, 2016. Cite
Lupi, Giorgia, and Stefanie Posavec. “Dear Data (Web Site for Project).” Dear Data, n. d. http://www.dear-data.com/all. Cite