Editors' Choice

Editors’ Choice: Seeing Formalism or Formal Viewing: Computational Formalism for the Analysis of Visual Media Forms and Contexts

An ongoing debate is the epistemological stakes of computational methods in humanistic inquiry. What kind of evidence is a word embedding or face detection and what can it tell us? How do we account for nuances across cultural, temporal, and geographical frames when engaging in pattern recognition and identifying outliers? To what degree does the […]

Editors' Choice

Editors’ Choice: The Future of Storytelling in the Age of AI: Q&A with Nnedi Okorafor

Since fall 2024, the Center for Digital Humanities has led the “Humanities for AI” initiative through a series of events, projects, and conversations. We explore how humanistic values and approaches are crucial to developing, using, and interpreting the field of AI. As part of this effort, we publish a Q&A series with our guest speakers […]

Editors' Choice

Editors’ Choice: Breaking Down Data Silos: SPARQuLb, An RDF Ecosystem to Mutualize Humanities Research Projects Needs | Journal of Open Initiatives in Academic Libraries

For many humanities researchers, managing the structured data collected or produced as part of their research projects is a technical challenge. In the past, the services of external service providers have been heavily relied upon for this purpose, resulting not only in high costs but also in a large number of isolated data silos scattered […]

Editors' Choice

Editors’ Choice: Literary Forensics as Method: Chemical Analysis, Food Stains, and Readerly Encounters with Nineteenth-Century Cookbooks

Much of the study of cookbooks relies on guesswork and reading between the lines that are written down—the type of guesswork that requires cookbooks be read alongside other types of texts rather than standing on their own. This article presents a novel method for analyzing and reading food stains in historical manuscripts using infrared spectroscopy, […]

Editors' Choice

Editors’ Choice: Report on the Erasmus+ Blended Intensive Program (BIP) “Intensive ENCODE: Digital Competences in Ancient Writing Cultures”

Nowadays, Artificial Intelligence is revealing itself as an essential tool for many tasks pertaining to any kind of field. When it comes to historical studies, AI might be trained for the purpose of automatic recognition of texts. Pursuing such a goal, Isabelle Marthot-Santaniello applied Deep Learning-based methodologies to papyri. In the D-scribes project she worked […]