The below schedule is tentative and evolving. Reading option lists will be culled by the instructor and the session’s student leader down to a cap of about 120 pages of reading due for Wednesday sessions, and a cap of about 50 pages for Friday sessions. Readings may be added that are not already in the list of reading options. Course topics may change with a few week’s notice, and the reading list will be finalized at least a week in advance.

[note: some of the DH Debates and other citation links point to the wrong place. Will fix soon.]

1/15 - 0. Introduction

Class Activities

  • Introduce the course.
  • Explain the syllabus.
  • Brainstorm additional topics.
  • Introduce classmates.

1/17 - 1. Course Planning

Class Activities

  • Introduce each other.
  • Course planning.
  • Class student leader assignments.
  • Learn how to blog.
  • Set up Zotero.

1/22 - 2. Conducting a Deep Dive

Session Leader: Sabrina

Leader Notes

  • In “Data Biographies: Getting to Know Your Data,” Heather Krause states that the most important part of getting to know your data is finding out the why (i.e. why was it collected?) Do you agree? Is the why more important than the where, who, or how? Is any one of these more important than another?
  • Is knowing how things work a necessary part of using them?
    • Knowing how a clock works vs. being able to tell time

Assignments

  1. Krause, H. (2017, March 27). Data Biographies: Getting to Know Your Data. Global Investigative Journalism Network. https://gijn.org/2017/03/27/data-biographies-getting-to-know-your-data/
  2. Thwaites, T. (2011). The Toaster Project: Or a Heroic Attempt to Build a Simple Electric Appliance from Scratch. Princeton Architectural Press.
  3. Weingart, S. B. (2019, February 22). The Route of a Text Message, a Love Story. Vice. https://www.vice.com/en_us/article/kzdn8n/the-route-of-a-text-message-a-love-story
  4. Send your Zotero username, and download / setup Zotero.

Class Activities

Reading Options

1/24 - 3. Google Books and Culturomics

Session Leader: Gayathri

Leader Notes

  • Culturomics is a way to analyze writing to find patterns in that shed light on human behavior and culture trends.
  • We can see how this can shed light on the evolution of grammar, adoption of technology, pursuits of technology, etc…
  • Sharp declines in author’s names of words can mean there was censorship
  • Limitations of google books: (1) contains only 5-6% of all books published, (2) OCR errors
  • ngrams looked at: coffee, tea smelly Indian, smart Indians, smart Whites, entitled Whites burned, burnt cocaine, LSD, heroin, marijuana, meth, opium country, family, God

Assignments

  1. Come into class with some fun or interesting Ngram searches completed.
  2. Michel, J.-B., Shen, Y. K., Aiden, A. P., Veres, A., Gray, M. K., The Google Books Team, Pickett, J. P., Hoiberg, D., Clancy, D., Norvig, P., Orwant, J., Pinker, S., Nowak, M. A., & Aiden, E. L. (2011). Quantitative Analysis of Culture Using Millions of Digitized Books. Science, 331(6014), 176–182. https://doi.org/10.1126/science.1199644
  3. Zimmer, B. (2012, October 18). Bigger, Better Google Ngrams: Brace Yourself for the Power of Grammar. The Atlantic. https://www.theatlantic.com/technology/archive/2012/10/bigger-better-google-ngrams-brace-yourself-for-the-power-of-grammar/263487/
  4. Bohannon, J. (2011). Google Books, Wikipedia, and the Future of Culturomics. Science, 331(6014), 135. https://doi.org/10.1126/science.331.6014.135
  5. The Google Ngram Viewer Team. (2013). Google Ngram Viewer. Google Books. https://books.google.com/ngrams/info
  6. Wikipedia Editors. (2020). Google Books. In Wikipedia. https://en.wikipedia.org/w/index.php?title=Google_Books&oldid=934521616

Class Activities

Reading Options

1/29 - 4. United States Is/Are and American History

Session Leader: India

Leader Notes

Assignments

  1. Find contexts for Is/Are in https://books.google.com/ngrams/graph?content=%28%28The+United+States+is+%2B+The+United+States+has%29%2F%28The+United+States%29%29%2C%28%28The+United+States+are+%2B+The+United+States+have%29%2F%28The+United+States%29%29&year_start=1800&year_end=2008&corpus=15&smoothing=3&share=&direct_url=t1%3B%2C%28%28The%20United%20States%20is%20%2B%20The%20United%20States%20has%29%20/%20%28The%20United%20States%29%29%3B%2Cc0%3B.t1%3B%2C%28%28The%20United%20States%20are%20%2B%20The%20United%20States%20have%29%20/%20%28The%20United%20States%29%29%3B%2Cc0. Each person, bring five examples from before the intersection point (around 1888) and fiv examples from after, understanding them in context and prepared to discuss them.
  2. Santin, B., Murphy, D., & Wilkens, M. (2016). Is or Are: The “United States” in Nineteenth-Century Print Culture. American Quarterly, 68(1), 101–124. https://doi.org/10.1353/aq.2016.0011
  3. Silber, N. (2016). Reunion and Reconciliation, Reviewed and Reconsidered. Journal of American History, 103(1), 59–83. https://doi.org/10.1093/jahist/jaw008

Class Activities

Reading Options

1/31 - 5. History of Book Scanning & Google Books

Session Leader: Jaclyn

Leader Notes

-How much was reputation a factor in the inception and process of the UM-Google Cooperative Agreement?

  • How did “librarian culture” (collectivist, rooted in tradition, egalitarianism,) impact this project, and how to what extent do you think this impacts the broader scope of digitization projects? What might be a reason some librarians are so open to the idea of digitization, while others are not? -From the article, https://bits.blogs.nytimes.com/2008/10/13/an-elephant-backs-up-googles-library/. Do you agree with the commenters about the potential outcomes of this project? 12 years later, has this affected library culture now? -It digitization a tool for librarians, or is going to make librarians obsolete? -(Million Books Project) Journalist Kevin Kelly notes, “The desire of all creators is for their works to find their way into all minds.”He believes there is a moral imperative to scan, and notes that Amazon is busily scanning the four million books in its inventory.” To what extent do you agree or disagree with Kelly?

Assignments

  1. Centivany, A. (2017). The Dark History of HathiTrust. Proceedings of the 50th Hawaii International Conference on System Sciences, 1–10. https://ir.lib.uwo.ca/fimspub/120/
  2. University of Michigan and Google, Inc. (2005). UM-Google Cooperative Agreement. https://www.lib.umich.edu/files/services/mdp/um-google-cooperative-agreement.pdf
  3. Clair, G. S. (2008). The Million Book Project in Relation to Google. Journal of Library Administration, 47(1–2), 151–163. https://doi.org/10.1080/01930820802111041
  4. Gavin, M. (2017). How To Think About EEBO. Textual Cultures, 11(1–2), 70–105. https://doi.org/10.14434/textual.v11i1-2.23570
  5. Click around HathiTrust. HathiTrust Team. (2020). HathiTrust Digital Library. HathiTrust Digital Library. https://www.hathitrust.org/
  6. Click around EEBO-TCP.
  7. Click around EEBO Ngrams Browser.

Class Activities

  • Seminar

Reading Options

2/5 - 6. Ngram Interfaces and their Affordances

Session Leader: Shambhavi

Leader Notes

  • Design Article Questions to Consider:
    • What technologies or designs have you interacted with that have high functionality, but low design aesthetic?
    • What technologies or designs have you interacted with that have high design aesthetic, but low functionality?
    • How can we tie the econological approach to digital humanities? (specifically in corpus engine search design)
    • In relationship to types of affordances, how are objects designed for active exploration, and how are those types of designs better or worse? In other words, how much responsibility can we put on the user to pay attention to certain details in order to operate an object, and how much responsibility is placed on the designer?
    • When designing, are there situations where you can give too much information? How does the user react in these situations and what type of affordances do they typically interact with that stimulate an overwhelming sensation?
  • State of the Union Article Questions to Consider:
    • What are the design/user-interface implications of setting up an interactive chart like so? What works and what doesn’t, and more importantly, what type of story is being shared and what information is being ignored/omitted?
    • What was the most interesting term and trend that you observed? What surprised you or didn’t surprise you?
    • When looking at words such as “war”, “her”, and “currency” what does the trend say about language changing over time?
    • What words do you think should have been included into this study?
    • Take a look at a similar map that is an interactive design to compare : [https://www.theatlantic.com/politics/archive/2015/01/mapping-the-state-of-the-union/384576/] (https://www.theatlantic.com/politics/archive/2015/01/mapping-the-state-of-the-union/384576/)

-Interactive databases (Peachnote/HathiTrust/Gendered Language/BYU corpora) Questions to Consider:

  • What was the purpose of each database?
  • What was an interesting example/comparision you found? or What were some common trends that you observed?
  • Where there any design interface issues/difficulties? or Where there any technology issues/difficulties?

Assignments

  1. Gaver, W. W. (1991). Technology affordances. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems Reaching through Technology - CHI ’91, 79–84. https://doi.org/10.1145/108844.108856
  2. Fraas, M., & Schmidt, B. M. (2015, January 18). The Language of the State of the Union. The Atlantic. https://www.theatlantic.com/politics/archive/2015/01/the-language-of-the-state-of-the-union/384575/
  3. Click around Peachnote. (2018). Peachnote Music Search. Peachnote. http://www.peachnote.com
  4. Click around Schmidt, B. M. (2020a). bookworm: HathiTrust. HathiTrust Digital Library. https://bookworm.htrc.illinois.edu/develop/. Compare against Google Books Ngrams.
  5. Click around Schmidt, B. M. (2015, February). Gendered Language in Teaching Evaluations. Gender and Teaching Reviews. http://benschmidt.org/profGender/
  6. Click around Davies, M. (2020). BYU corpora. Corpus.Byu.Edu. https://corpus.byu.edu/overview.asp

Class Activities

  • Spend 20 minutes coming up with interesting things to say with Voyant, in groups
  • Seminar

Reading Options

2/7 - 7. Digital Labor

Session Leader: Chloe

Leader Notes

  • Digitizing Labor in the Google Books Project (Andrea Zeffiro)
    • Thesis: Digital infrastructure and its failure to work, including glitches in its functioning, may prompt reflections about its material origins. “When assembled together, the audiovisual traces, glimmers, residues and specks of the ScanOps produce an archive that is, in effect, a counter-archive to the Google Book Project” (134).
    • Objective: Unpack the “unintended but valuable consequence of digitizing millions of texts [because this] is the digitization of the process of labor itself” (137).
    • The audiences is “scholars on all levels” with the hope that they will “reflect on who and what contributes to the material sustenance of our research practices and processes of knowledge production” (148).
  • Producing “one vast index”: Google Book Search as an algorithmic system (Melissa K Chalmers and Paul N Edwards)
    • Thesis: “Here we take a new tack, arguing that Google’s approach to digitization was shaped by a confluence of technical and cultural factors that must be understood together” (2).
    • “Algorithmic digitization” is proposed in order to describe Google’s commitment to scale, standardization processes, and automation, which beyond scaling up Google’s algorithmic digitization effort, in fact has the effect of “reimagining” the intended outcomes of their project as well as “contributing important implications for mediating digital access to print books” (2).
    • Objective: Examine the ways that labor, partnerships, goals, and algorithms contribute to seeing books as data and objects for searching and discovery rather than simply reading. “This project seeks to join an existing critique oriented toward material culture and labor process with an emerging critique of algorithmic culture. ‘Algorithmic digitization’ thus serves us as a sensitizing concept emphasizing relationships between inputs, materials, labor, processes, outputs, use, and users. We use it here to consider opportunities and limitations in Google’s approach to providing universal access to information” (13).
    • The audience is a wide variety of scholars and readers, especially those in information science and studies.
  • Questions:
  • Before learning about Google’s secret book scanning process, did you have a preconceived idea of how the scanning process worked? Did it involve machines or human labor?
  • Google imagines information from books as necessarily searchable and discoverable rather than readable. What might this orientation towards digitized books mean for a searcher or researcher?
  • What do we think the stakes are for the “lost” information through Google’s digitization process (such as the physical size, weight, color, texture, or structure of a book?)
  • What about information “gained” such as Google’s logo as an embedded trace, or perhaps other material traces such as fingers digitized over the text?
  • For people interested in history, anthropology, literary studies, cultural studies, or other fields, why might visiting physical archives with analog books be important even though the textual information may be digitized and accessible online?

Assignments

  1. Chalmers, M. K., & Edwards, P. N. (2017). Producing “one vast index”: Google Book Search as an algorithmic system. Big Data & Society, 4(2), 2053951717716950. https://doi.org/10.1177/2053951717716950
  2. Wilson, A. N. (2012). ScanOps. http://www.andrewnormanwilson.com/ScanOps.html
  3. Wilson, K. (2018). The Art of Google Books. https://theartofgooglebooks.tumblr.com/?og=1
  4. Zeffiro, A. (2019). Digitizing Labor in the Google Books Project. In S. Ross & A. Pilsch, Humans at Work in the Digital Age: Forms of Digital Textual Labor. Routledge. https://doi.org/10.4324/9780429244599
  5. Goldsmith, K. (2013, December 4). The Artful Accidents of Google Books. https://www.newyorker.com/books/page-turner/the-artful-accidents-of-google-books

Class Activities

  • Seminar

Reading Options

2/12 - 8. Politics, Laws, and Pirates

Session Leader: Shambhavi

Leader Notes

Assignments

  1. The Authors Guild v. Hathitrust, No. 156 (United States District Court Southern District of New York October 10, 2012). https://cases.justia.com/federal/district-courts/new-york/nysdce/1:2011cv06351/384619/156/0.pdf
  2. Balázs, B. (2011). Coda: A Short History of Book Piracy. In Joe Karaganis, Media Piracy in Emerging Economies. Lulu.com.
  3. Jockers, M., Sag, M., & Schultz, J. (2012). Brief of Digital Humanities and Law Scholars as Amici Curiae in Authors Guild v. Google (SSRN Scholarly Paper ID 2102542). Social Science Research Network. https://papers.ssrn.com/abstract=2102542
  4. Rosenberg, S. (2017, April 11). How Google Book Search Got Lost. Wired. https://www.wired.com/2017/04/how-google-book-search-got-lost/
  5. Cox, K. (2015, January 8). Authors Guild v. HathiTrust Litigation Ends in Victory for Fair Use. Association of Research Libraries Policy Notes. https://www.arl.org/news/authors-guild-v-hathitrust-litigation-ends-in-victory-for-fair-use/
  6. Summary: Authors Guild v. Google Inc., No. 13-4829–cv (Second Circuit October 16, 2015). https://www.copyright.gov/fair-use/summaries/authorsguild-google-2dcir2015.pdf
  7. Gallé, M., & Tealdi, M. (2015). Reconstructing Textual Documents from N-grams. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 329–338. https://doi.org/10.1145/2783258.2783361 Don’t need to read this one deeply. Just get the gist of it.
  8. Click around Elbakyan, A. (2020). Sci-Hub: Removing barriers in the way of science. Sci-Hub. https://sci-hub.tw/
  9. Click around Library Genesis Team. (2020). Library Genesis. Library Genesis. https://libgen.is/

Class Activities

  • Seminar

Reading Options

2/14 - 9. Technologies of Book Scanning

Session Leader: India

Leader Notes

Assignments

  1. Conway, P. (2013). Preserving Imperfection: Assessing the Incidence of Digital Imaging Error in HathiTrust. Preservation, Digital Technology & Culture, 42(1), 17–30. https://doi.org/10.1515/pdtc-2013-0003
  2. Langley, A., & Bloomberg, D. S. (2007). Google Books: Making the public domain universally accessible. (Document Recognition and Retrieval XIV, *6500, 65000H. https://doi.org/10.1117/12.710609
  3. Le Bourgeois, F., Trinh, E., Allier, B., Eglin, V., & Emptoz, H. (2004). Document images analysis solutions for digital libraries. First International Workshop on Document Image Analysis for Libraries, 2004. 2–24. https://doi.org/10.1109/DIAL.2004.1263233. You need not read this in detail; just understand the gist of each section.
  4. Lefevere, F.-M., & Saric, M. (2008). De-warping of scanned images (United States Patent No. US7463772B1). https://patents.google.com/patent/US7463772B1/en
  5. Smith, D. A., & Cordell, R. (2018). Report: A Research Agenda for Historical and Multilingual Optical Character Recognition – Historical and Multilingual OCR. Northeastern University. https://ocr.northeastern.edu/report/. Only read the summary, pages 5-8.
  6. Tanner, S., Muñoz, T., & Ros, P. H. (2009). Measuring Mass Text Digitization Quality and Usefulness: Lessons Learned from Assessing the OCR Accuracy of the British Library’s 19th Century Online Newspaper Archive. D-Lib Magazine, 15(7/8). https://doi.org/10.1045/july2009-munoz
  7. Vincent, L. (2007). Google Book Search: Document Understanding on a Massive Scale. Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), 2, 819–823. https://doi.org/10.1109/ICDAR.2007.4377029

Class Activities

  • Possible field trip to scanning facility
  • Seminar

Reading Options

2/19 - 10. Critiques of Google Books and Ngrams

Session Leader: Gayathri

Leader Notes

Assignments

  1. James, R., & Weiss, A. (2012). An Assessment of Google Books’ Metadata. Journal of Library Metadata, 12(1), 15–22. https://doi.org/10.1080/19386389.2012.652566
  2. Koplenig, A. (2017). The impact of lacking metadata for the measurement of cultural and linguistic change using the Google Ngram data sets—Reconstructing the composition of the German corpus in times of WWII. Digital Scholarship in the Humanities, 32(1), 169–188. https://doi.org/10.1093/llc/fqv037
  3. Pechenick, E. A., Danforth, C. M., & Dodds, P. S. (2015). Characterizing the Google Books Corpus: Strong Limits to Inferences of Socio-Cultural and Linguistic Evolution. PLOS ONE, 10(10), e0137041. https://doi.org/10.1371/journal.pone.0137041
  4. Pettit, M. (2016). Historical time in the age of big data: Cultural psychology, historical change, and the Google Books Ngram Viewer. History of Psychology, 19(2), 141–153. https://doi.org/10.1037/hop0000023

Class Activities

  • Seminar

Reading Options

2/21 - 11. Project Proposals and Presentations

Assignments

  1. Finish individual project proposals.

Class Activities

  • Present projects.

2/26 - 12. How Computers and Text Work

Session Leader: ??

Leader Notes

Assignments

  1. No readings for today, congratulations!

Class Activities

  • Project choice made
  • Seminar

Reading Options

2/28 - 13. History of Computing & Human Information Technology

Session Leader: Sabrina

Leader Notes

  • Pre-discussion question: does anyone know where the term “computer” came from?
    • The term “computer” originally referred to a person, usually a woman, who would enter data, complete calculations, etc. Thruoughout history, women have been behind major achievements and advancements in many fields.
    • Women were believed to be more careful than men and employers could pay women less (especially women of color)
    • https://twitter.com/yungaccident/status/1232147792942043136
  • A Queer History of Computing
    • “In his biography of Alan Turing, Andrew Hodges writes of the love letter generator, that ‘[t]hose doing real men’s jobs on the computer, concerned with optics or aerodynamics, thought [it] silly, but […] it greatly amused Alan and Christopher.’”
      • Implies that Alan and Cristopher weren’t doing “real men’s jobs on the computer”
      • Is the love letter generator considered to be a bigger feat in art or (computer) science?
  • When Computers Were Women
    • Was anything in this reading surprising?
    • This was a particularly satisfying read for me because I know that women have been erased in achievements such as these but I didn’t have specific detailed examples
  • Female Punch Card Operatives
    • “poetical science” - when a straight man makes it it’s science, but if a woman/homosexual makes it then it’s art
    • Busa chose women, specifically women who were unfamiliar with Latin, because he believed that they would be more careful than men (especially men familiar with Latin)
    • Do the opportunities/success this project brought for these women make up for the fact that they recieved no credit?
      • The women recieved training and job experience; “industries wanted to hire them before they had finished the program.” … “they secured excellent jobs once they had completed the course, and often before.”
      • Were you surprised to learn that companies were not just willing, but eager to hire women?

Assignments

  1. Bush, V. (1945, July). As We May Think. The Atlantic Monthly, 176(1), 101–108.
  2. Gaboury, J. (2013, April 9). A Queer History of Computing: Part Three. Rhizome. http://rhizome.org/editorial/2013/apr/09/queer-history-computing-part-three/
  3. Light, J. S. (1999). When Computers Were Women. Technology and Culture, 40(3), 455–483.
  4. Terras, M., & Nyhan, J. (2016). Father Busa’s Female Punch Card Operatives. In Debates in the Digital Humanities 2016. University Of Minnesota Press.https://dhdebates.gc.cuny.edu/read/untitled/section/1e57217b-f262-4f25-806b-4fcf1548beb5

Class Activities

  • Seminar

Reading Options

3/4 - 14. Project Planning

Class Activities

  • Plan Final Project

3/6 - 15. No Class (Mini Finals)

3/11 - 16. No Class (Spring Break)

3/13 - 17. No Class (Spring Break)

3/18 - 18. Penumbra

Session Leader: Sabrina

Leader Notes

Assignments

  1. Sloan, R. (2016). Mr. Penumbra’s 24-hour bookstore. Farrar, Straus and Giroux.

Class Activities

  • Seminar

3/20 - 19. Document-Term Matrices and Vector Space

Session Leader: Gayathri

Leader Notes

Assignments

  1. Garcia, E. (2016). The Classic TF-IDF Vector Space Model. miislita.com.
  2. Gavin, M., Jennings, C., Kersey, L., & Pasanek, B. M. (2019). Spaces of Meaning: Conceptual History, Vector Semantics, and Close Reading. In Debates in the Digital Humanities 2019. University Of Minnesota Press.https://dhdebates.gc.cuny.edu/read/untitled-f2acf72c-a469-49d8-be35-67f9ac1e3a60/section/4ce82b33-120f-423f-ba4c-40620913b305.
  3. Jurafsky, D., & Martin, J. H. (2019). Vector Semantics and Embeddings. In Speech and Language Processing (3rd ed.). https://web.stanford.edu/~jurafsky/slp3/. up through section 6.6
  4. Underwood, T. (2015, June 4). Seven ways humanists are using computers to understand text. The Stone and the Shell. https://tedunderwood.com/2015/06/04/seven-ways-humanists-are-using-computers-to-understand-text/
  5. Wikipedia Editors. (2018). Document-term matrix. In Wikipedia. https://en.wikipedia.org/w/index.php?title=Document-term_matrix&oldid=841158065

Class Activities

  • Seminar

Reading Options

  • Turney, P. D., & Pantel, P. (2010). From Frequency to Meaning: Vector Space Models of Semantics. Journal of Artificial Intelligence Research, 37, 141–188. https://doi.org/10.1613/jair.2934

3/25 - 20. Ngrams as Analysis

Session Leader: Gayathri

Leader Notes

Assignments

  1. Bentley, R. A., Acerbi, A., Ormerod, P., & Lampos, V. (2014). Books Average Previous Decade of Economic Misery. PLoS ONE, 9(1), e83147. https://doi.org/10.1371/journal.pone.0083147
  2. Guldi, J. (2012). The History of Walking and the Digital Turn: Stride and Lounge in London, 1808–1851. The Journal of Modern History, 84(1), 116–144. https://doi.org/10.1086/663350
  3. Kumar, N., & Sahu, M. (2011). The Evolution of Marketing History: A Peek Through Google Ngram Viewer. Asian Journal of Management Research, 1(2), 415–426.
  4. Rosenberg, D. (2013). Data Before the Fact. In “Raw Data” Is an Oxymoron. MITP. https://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6462156
  5. Twenge, J. M., Campbell, W. K., & Gentile, B. (2012a). Male and Female Pronoun Use in U.S. Books Reflects Women’s Status, 1900–2008. Sex Roles, 1–6. https://doi.org/10.1007/s11199-012-0194-7

Class Activities

  • Seminar

Reading Options

3/27 - 21. Cultural Analytics

Session Leader: Chloe

Leader Notes

Assignments

Class Activities

  • Seminar

Reading Options

4/1 - 22. Experimental Design

Session Leader: Shamhbavi

Leader Notes

Assignments

  1. Andersen, J. W. (1989). Unobtrusive measures. In P. Emmert & L. L. Barker (Eds.), Measurement of communication behavior (pp. 249–266). Longman. up through page 9, the first chapter.
  2. Jick, T. D. (1979). Mixing Qualitative and Quantitative Methods: Triangulation in Action. Administrative Science Quarterly, 24(4), 602–611. https://doi.org/10.2307/2392366
  3. Lincoln, M. D. (2015, March 21). Confabulation in the humanities. Matthew Lincoln, PhD. https://matthewlincoln.net/2015/03/21/confabulation-in-the-humanities.html
  4. Mullen, L. (2018, January 10). Isn’t it obvious? Lincoln Mullen. https://lincolnmullen.com/blog/isnt-it-obvious/
  5. Schmidt, B. M. (2016). Do Digital Humanists Need to Understand Algorithms? In Debates in the Digital Humanities 2016. University Of Minnesota Press.https://dhdebates.gc.cuny.edu/read/untitled/section/557c453b-4abb-48ce-8c38-a77e24d3f0bd#ch48

Class Activities

  • Seminar

Reading Options

4/3 - 23. Experimental Methods in Cultural Analytics

Session Leader: India

Leader Notes

Assignments

  1. Heuser, R., & Le-Khac, L. (2012). A Quantitative Literary History of 2,958 Nineteenth-Century British Novels: The Semantic Cohort Method (No. 4; Stanford Literary Lab Pamphlets). Stanford. https://litlab.stanford.edu/LiteraryLabPamphlet4.pdf
  2. Underwood, T., Bamman, D., & Lee, S. (2018). The Transformation of Gender in English-Language Fiction. Cultural Analytics. https://hcommons.org/deposits/item/hc:18127/

Class Activities

  • Seminar

Reading Options

4/8 - 24. TEI / Encoding Digital Editions

Session Leader: Jaclyn

Leader Notes

Assignments

  1. Bishara, H. (2019, November 26). Official 3D Scans of Nefertiti Bust Are Released After Three-Year Battle. Hyperallergic. https://hyperallergic.com/530400/official-3d-scans-of-nefertiti-bust-are-released-after-three-year-battle/
  2. Conway, P. (2015). Digital transformations and the archival nature of surrogates. Archival Science, 15(1), 51–69. https://doi.org/10.1007/s10502-014-9219-z
  3. Nelles, J. & Al-Badri, N. (2015, October). Nefertiti Hack. http://nefertitihack.alloversky.com/
  4. Region of Peel Archives. (2017, May 31). Why don’t archivists digitize everything? Archives @ PAMA. https://peelarchivesblog.com/2017/05/31/why-dont-archivists-digitize-everything/
  5. Voon, C. (2016, February 19). Artists Covertly Scan Bust of Nefertiti and Release the Data for Free Online. Hyperallergic. https://hyperallergic.com/274635/artists-covertly-scan-bust-of-nefertiti-and-release-the-data-for-free-online/
  6. Weingart, S. B. (2015, November 1). Ghosts in the Machine. The Scottbot Irregular. http://scottbot.net/ghosts-in-the-machine/
  7. Weisberger, M., & 2019. (2019, November 25). Long-Hidden 3D Scan of Ancient Egyptian Nefertiti Bust Finally Revealed. Livescience.Com. https://www.livescience.com/nefertiti-bust-3d-scan-revealed.html

Class Activities

  • Seminar

Reading Options

4/10 - 25. Genealogies of Distant Reading

Session Leader: Chloe

Leader Notes

Assignments

Class Activities

  • Seminar

Reading Options

4/15 - 26. Digital Source Criticism

Session Leader: Jaclyn

Leader Notes

Assignments

Class Activities

  • Seminar

Reading Options

4/17 - 27. No Class (Carnival)

4/22 - 28. Critique of Cultural Analytics

Session Leader: Shambhavi

Leader Notes

Assignments

  1. Da, N. Z. (2019). The Computational Case against Computational Literary Studies. Critical Inquiry, 45(3), 601–639. https://doi.org/10.1086/702594

Class Activities

  • Seminar

Reading Options

4/24 - 29. Limits of Numbers

Session Leader: Sabrina

Leader Notes

Assignments

Class Activities

  • Seminar

Reading Options

4/29 - 30. Data Visualization

Session Leader: Jaclyn

Leader Notes

Assignments

Class Activities

  • Seminar

Reading Options

5/1 - 31. Final Project Presentations

Assignments

  1. Finish project.

Class Activities

  • Present projects