Editors’ Summary: This paper, focusing on the Round Table meetings in Poland during the late 1980s, meetings that hoped to address political challenges in Communist Poland. Using network analysis, the authors present the considerations behind creating network data visualizations. The metadata that the authors consider, such as affiliations, personal biography, and others, are especially helpful […]
Editors’ Summary: This discussion paper provides multiple perspectives on data curation. It considers not just the work done in academia but also in community organizations, such as Cultural Heritage Institutions. The paper also provides data management recommendations and future questions. Specifically, the authors emphasize the importance of strong and consistent dataset documentation. This paper will […]
Editors’ Summary: In “Conversations about conversational code,” Mark C. Marino and colleagues revisit Joseph Weizenbaum’s ELIZA through the recovered original source code, showing how close, collaborative code reading can reshape software history. Based on four years of interdisciplinary work, the article uncovers discrepancies between Weizenbaum’s published accounts and the actual MAD-SLIP implementation, including undocumented features, […]
Editors’ Summary: This post shares the launch of the Source Library project earlier this month. Source Library, founded by Derek Lomas, digitizes Renaissance-era books originally written in Latin or other languages, translates them using AI translation tools, and presents them for free on their website. This project combines OCR and machine translation to increase accessibility […]
Editors’ Summary: In this post, Ben Williamson examines the growing quality control and methodological rigor crisis within the field of Artificial Intelligence in Education (AIED) research. By highlighting the recent retraction of a high-profile paper on ChatGPT and analyzing two new critical literature reviews, Williamson demonstrates how the pressure to quickly produce statistical evidence has […]
Editors’ Summary: In this post, Alex Reid critiques the reliance on instructional design and “design thinking” to counter the frictionless nature of AI in higher education. Challenging the popular notion of “engineering friction” into curriculum, he argues that reducing learning to predictable outcomes merely creates automated “work” that AI easily replicates. Reid contends that AI […]
Editors’ Summary: In this paper, River Rain and Houda Lamqaddam consider how recommender systems can be reframed as speculative tools for humanistic inquiry rather than commercial personalization. By demonstrating how a fine-tuned computer vision pipeline maps visual similarities across 2,341 animated films, they highlight how algorithmic proximity can trace artistic influence and macro-level aesthetic shifts. […]
Editors’ Summary: This article shares a mathematics professor’s experience in teaching students how to read graphs. The article discusses important topics like motivated skepticism that, although this article applies them to students’ interpretation of graphs and graph literacy, are applicable to digital literacy, too. The author presents a pedagogical question regarding how, despite us knowing […]
Editors’ Summary: This roundtable, hosted by Open Knowledge Foundation in collaboration with the Association for the Advancement of Social Sciences in Guatemala, fills a key gap in digital archives by focusing on how archives and museums in the Global South or regions experiencing political or social instability can effectively engage with digital or AI tools […]
Editors’ Summary: This post considers the historical background behind the difficulty of rendering Arabic typography online. The author uses an example of a project where the Arabic prose was rendered with a ragged left edge, even though the team explicitly specified justified text. This issue had nothing to do with the specific stylesheet of the […]
