Have you been encoding your texts in TEI-XML and are ready to begin analyzing your data? Are you aware of all the different ways you can query your encoded data? Or maybe you’re aware of what kinds of...

We support the teaching, learning, and enjoyment of English at all levels of education, from early years to further and higher education and beyond.

The Digital Humanities Climate Coalition toolkit for Climate Justice in humanities research.

I write this piece as someone with expertise in applicable DH subareas—research programming, digital scholarly design, and the ethical review of digital tools and interfaces—but not as someone with particular experience related to ML, LLMs, or other “AI” knowledges. A field of new and rapidly evolving tools means true expertise in the capabilities and design of AI is rare; often we are either talking about secondhand experiences of these tools (e.g. “Microsoft Co-Pilot let me xyz”) or about AI as a shorthand for desired computing capabilities, unfounded on familiarity with current research papers or understanding of codebases. (A values-neutral claim: science fiction authors without technical skillsets have helped us imagine, and later create.)