News, Resources

Resource: A dh tutorial web app

A worsening problem I am having is an overall decline in basic digital literacy in my students. Since many of my classes turn on interrogating humanities materials with digital tools, or interrogating the digital from a humanities perspective (ie, DH!) this means I am spending ever more frustrating amounts of time just trying to get […]

News, Resources

Resource: DIY Web Archiving

A 23-page standard-size, full-color zine co-created by Quinn Dombrowski, Tessa Walsh, Anna Kijas, Ilya Kreymer, and Amanda Wyatt Visconti. DIY Web Archiving shows you why everyone should participate in preserving the things on the web they care about, and how anyone can do so (no special expertise required!). Based on the 11/25/2024 virtual workshop co-sponsored […]

CFPs & Conferences, News

CFP: Digital Pedagogy Institute

The Call for Proposals for the 2026 Digital Pedagogy Institute (DPI) is now open. At this year’s DPI, our goal is to continue to create a virtual space that allows participants to explore diverse approaches to digital pedagogy from a variety of perspectives, including those of undergraduate/graduate students, faculty, librarians, educational developers, and technologists.  CFP […]

Announcements, News

Event Announcement: An Introduction to the Digital Humanities Climate Coalition Toolkit

On March 18 at 1:00 PM EDT, eLabs will host a webinar that invites researchers to explore questions around the environmental impact of digital humanities work. The session draws on the approaches and resources developed by the Digital Humanities Climate Coalition (DHCC), a collaborative and cross-institutional initiative focused on understanding and minimizing the environmental impact […]

Editors' Choice

Editors’ Choice: Defactoring Pace of Change

Editors’ Summary: This article argues that bespoke code used in digital humanities research should be treated as a core part of scholarly output rather than treated as invisible technical labor. It introduces defactoring, a method of close reading and restructuring, to reveal a project’s underlying computational narrative. The authors demonstrate this approach by unpacking the […]

Editors' Choice

Editors’ Choice: Can AI Replace Social Science Researchers?

Editor’s Summary: This post responds to another viral essay “Academics Need to Wake Up on AI” that argued that academia is in denial about how good Claude Code is at producing the 6,000–8,000 word journal article. The author argues that the peer-reviewed journal article as the primary unit of academic production is likely dead, and […]

Announcements, News

Call for DHNow Guest Editors!

Interested in being part of the editorial process for DHNow? We are pleased to announce our call for guest editors! This role is critical to helping DHNow reflect community interests,ideas, and opportunities. Our new Guest Editor program gives volunteers more agency in the publication process, directly selecting an Editors’ Choice post each week. They sign […]

News, Reports

Report: The Journal of Asian Studies and AI

It is difficult to exaggerate the impact of AI on academia in general and on scholarly publishing in particular. Tools such as ChatGPT and Claude have made it possible for anyone to turn free-floating information into what looks like knowledge using a combination of real and artificial intelligence. There are many open questions and knotty […]

Editors' Choice

Editors’ Choice: No More Tools

Editors’ Summary: In this post, the author shows how the rise of AI has made the critical thinking component of using code in DH even more essential. He details his initial explorations using Claude Code to build DH web apps for use in the classroom. This post argues that the old tools of Digital Humanities […]

Editors' Choice

Editors’ Choice: Do all politicians sound the same? Comparing model explanations to human responses

Editor’s Summary: This article considers the bold claim that politicians from different parties really “all sound the same”. It trains an AI model on 20+ years of Finnish parliamentary speeches and compares its guesses about affiliation with that of 438 human readers. It turns out that the system is ‘better’ at telling parties apart. Humans […]