Introducing DH Workflows

Seminar and Workshop Framing

How can and should we work digitally as humanists? How can new technologies transform or interfere with how we work? What are the longer histories of computing in the humanities and how much do we need to understand “computers” in DH?

Contextual Materials

• Antonijevic, Smiljana, and Ellysa Stern Cahoy. “Researcher as Bricoleur: Contextualizing Humanists’ Digital Workflows.” Digital Humanities Quarterly 012, no. 3 (November 19, 2018). https://www.digitalhumanities.org/dhq/vol/12/3/000399/000399.html
• Section 2 Libraries and Database Milligan, Ian. The Transformation of Historical Research in the Digital Age. Elements in Historical Theory and Practice, August 2022. https://doi.org/10.1017/9781009026055.
• Given, Lisa M., and Rebekah Willson. “Information Technology and the Humanities Scholar: Documenting Digital Research Practices.” Journal of the Association for Information Science and Technology 69, no. 6 (2018): 807–19. https://doi.org/10.1002/asi.24008.

If you are struggling to get through the readings, you may select one of either the “Research as Bricoleur” or “Information Technology and the Humanities Scholar” (along with Milligan chapter) to focus your reading. Remember reading in graduate school is not about memorizing facts but synthesizing and making connections

Applied Materials

• Schaul, Kevin, Szu Yu Chen, and Nitasha Tiku. “Inside the Secret List of Websites That Make AI like ChatGPT Sound Smart.” Washington Post, April 19, 2023. http://archive.today/2023.07.21-025819/https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/ or https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/
• Chiang, Ted. “ChatGPT Is a Blurry JPEG of the Web.” The New Yorker, February 9, 2023. http://archive.today/2023.02.11-180845/https://www.newyorker.com/tech/annals-of-technology/chatgpt-is-a-blurry-jpeg-of-the-web or https://www.newyorker.com/tech/annals-of-technology/chatgpt-is-a-blurry-jpeg-of-the-web

Curated Additional Materials (optional but recommended if familiar with assigned materials)

• Anand, Yuvanesh, Zach Nussbaum, Brandon Duderstadt, Benjamin Schmidt, and Andriy Mulyar. “GPT4All: Training an Assistant-Style Chatbot with Large Scale Data Distillation from GPT-3.5-Turbo,” 2023.
• Lund, Brady D., and Ting Wang. “Chatting about ChatGPT: How May AI and GPT Impact Academia and Libraries?” Library Hi Tech News 40, no. 3 (January 1, 2023): 26–29. https://doi.org/10.1108/LHTN-01-2023-0009
• Ford, Paul. “What Is Code? If You Don’t Know, You Need to Read This.” Bloomberg.Com, June 11, 2015. http://www.bloomberg.com/graphics/2015-paul-ford-what-is-code/.
• MLA guidance on citing generative AI https://style.mla.org/citing-generative-ai/

Prior to Class

• Sign up for a GitHub account
• Complete the AI & Command Line Assignment