Editors’ Summary: This article argues that bespoke code used in digital humanities research should be treated as a core part of scholarly output rather than treated as invisible technical labor. It introduces defactoring, a method of close reading and restructuring, to reveal a project’s underlying computational narrative. The authors demonstrate this approach by unpacking the […]
Editor’s Summary: This post responds to another viral essay “Academics Need to Wake Up on AI” that argued that academia is in denial about how good Claude Code is at producing the 6,000–8,000 word journal article. The author argues that the peer-reviewed journal article as the primary unit of academic production is likely dead, and […]
Editors’ Summary: In this post, the author shows how the rise of AI has made the critical thinking component of using code in DH even more essential. He details his initial explorations using Claude Code to build DH web apps for use in the classroom. This post argues that the old tools of Digital Humanities […]
Editor’s Summary: This article considers the bold claim that politicians from different parties really “all sound the same”. It trains an AI model on 20+ years of Finnish parliamentary speeches and compares its guesses about affiliation with that of 438 human readers. It turns out that the system is ‘better’ at telling parties apart. Humans […]
Editors’ Summary: This post shares some practical ways college instructors can design courses so students are not completely dependent on AI. It highlights grading systems that reward process over product, moving from writing to problem solving to finally reaching a solution. It empowers the students into realising the value of thinking for themselves instead of […]
Editor’s Summary: Modern sciences in the United States has been a predominately white-dominated workplace. This project at the American Institute of Physics collects oral history interviews from Black and African American physicists. This project addresses the lack of narratives in the history of science, especially physics, from minority communities. The need to record the perspectives […]
Editors’ Summary: This post questions the perceived hierarchy of disciplines in the university, and argues that the rise of generative AI challenges this hierarchy. He points to how computer science was considered the most lucrative major in the twenty-first century until the automation of coding made possible by AI. He uses the case study of […]
Editors’ Summary: In this post, the author argues that integrity in design is the most important aspect of data visualization. She uses the San Domenico Altarpiece as a metaphor for data visualization by calling attention to all the information that can be found by seeing the back of the painting. In the case of the […]
Editor’s Summary: The question of scale is something that has been troubling many humanities disciplines even before the popularization of computational technologies. In the field of DH, we often perceive that there is an additional layer of abstraction between the researcher and subject because of the digital “screen” and scale of analysis that our technological […]
Editors’ Summary: This series of articles comparing the user experience in DuckDuckGo and Google goes beyond a purely UX analysis. Seeing how these two search engines play in an academic or teacher’s work, we get to see how certain search engines, like Google, are more than just “search engines.” As mentioned, Google also controls our […]
