Monthly Archives: July 2022

ML and a looming replicability crisis

Elizabeth Gibney’s Nature article, Could machine learning fuel a reproducibility crisis in science?, is an intriguing exploration about reproducibility in disciplines that use Machine Learning with a particular focus on computational reproducibility. The challenges of training data from the same period or even including data in both training and evaluation data, or data leakage, are […]

Who keeps minimal computing running?

Digital Humanities Quarterly has a special issue on Minimal Computing. Roopika Risam and Alex Gil;s introduction neatly frames the challenges that the subject raises but Quinn Dombrowski’s article, Minimizing Computing Maximizes Labor, excavates what it really means to develop with minimal computing. It is an issue that I have been thinking about recently after various […]

Critical Design and Digital Humanities

Peter Forberg’s paper, Critical Design as Theory, Experiment, and Data: A Sociologically-Informed Approach to Visualizing Networks of Loss, on Digital Humanities Quarterly is an intriguing read that I will come back to in the near future as I do some reading catch up. It develops David Berry and Anders Fagerjord’s call for a Critical Digital […]

Ethics and Experimental Humanities

Just catching up with some reading as a bit of a break from other things and saw this article on Ethical Issues and Experimental Humanities on the Talking Humanities blog. Linking to it as a post it for later but it links to a few things that I have been thinking about.