This article introduces the Humanizing Deportation digital storytelling project, with a focus on a component that involves undergraduate students directly in producing audiovisual testimonial narratives of vulnerable migrants. (feel free to edit)

In their introduction to the second DHQ special issue on Critical Code Studies, Jeremy Douglass and Mark C. Marino survey recent developments in the field and argue that generative AI makes critical code reading more urgent, not less.

The study presents promising outcomes with proper preprocessing, model selection, and parameterisation. Our findings encourage further exploration and refinement of the methodology employed.

The study presents promising outcomes with proper preprocessing, model selection, and parameterisation. Our findings encourage further exploration and refinement of the methodology employed.

Learn about Booksnake, a new app for bringing digitized cultural heritage materials into physical space via augmented reality, creating a novel spatial interface for embodied research with digitized materials.

In Can Open-Source Fix Predictive Policing? Ciston, Mann, Marino, and Douglass perform a critical code studies reading of CivicScape predictive policing software, detailing the racialized codes of civic control under the cloak of inaccessible AI machinations.

An introduction to the field of Critical Code Studies and summary of author contributions.

Our work draws attention to the means by which ordinary users might interact with, and even direct, the behavior of deep learning systems, and by extension works toward demystifying some of the auratic mystery of AI.

This article provides a critical narrative of our research in applying, developing and refining tools for the analysis of pitch and timing patterns in recorded performances of literary texts.