All Posts
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Resource: AI Afterlives Workbook
The Responsible AI Afterlives Workbook is a practical resource supporting cultural organisations considering the use of AI to ‘revive’ collections and engage visitors. It was produced in consultation with cultural professionals, and is informed by a deep understanding of heritage work and responsibilities. This resource is designed for: See full post.
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Job Announcement: Call for Digital Humanities Research Scientist (M/F/D) – Max Planck Research Group “Machine Visual Culture: Artificial Intelligence and the History of Seeing”
The Bibliotheca Hertziana – Max Planck Institute for Art History in Rome (Italy) invites applications for a Digital Humanities Research Scientist within the Max Planck Research Group “Machine Visual Culture: Artificial Intelligence and the History of Seeing,” led by Dr Leonardo Impett. The Machine Visual Culture research group investigates the reciprocal relationship between artificial intelligence…
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Editors’ Choice: Encountering Collapse
This is part 1 of a 5-part series on the politics of preservation and power. In our field, what is often right in front of us is infrastructure. We treat it as stable, neutral, and purely technical. We act as if the servers, standards, and software we rely on are objective tools. But if you’ve…
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Report: Advancing Research Through DataCite’s Global Access Fund: African Population and Health Research Center
The African Population and Health Research Center (APHRC) is a leading Pan African research-to-policy institution dedicated to generating evidence, strengthening research capacity, and informing policy action across Africa. Headquartered in Nairobi, Kenya, with a West Africa Regional Office in Dakar, Senegal, APHRC is African-based and African-led, committed to nurturing strong research leadership and promoting evidence-informed…
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Editors’ Choice: Can automation help make the humanities more human?
I have believed since 2022, and still believe, that generative AI models have considerable potential as tools for augmenting traditional humanistic research. Two use cases that deserve special attention: 1) classifying, sorting, and otherwise extracting metadata from large corpora of public domain historical sources (one example, appropriate to the season: you can provide an LLM…
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Editors’ Choice: From Metrics to Mood: The Emotional Story in a HYROX Race
In the world of sports performance, data is everywhere. Watches track heart rates, apps monitor recovery, and race platforms log every split and second. But when all that data is condensed into a single visual, a story emerges: the numbers stop being neutral—they speak with raw emotion. The aim was to analyse my HYROX performance,…
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Resource: Refactoring the IIIF Artificial Intelligence Community
This talk is a call to participate in the newly reformed IIIF AI community group. The International Image Interoperability Framework Consortium (IIIF-C) formed an AI/ML Community Group in 2023. The utility of IIIF in these contexts is clear, but the best practices in this domain are less so, and awareness of the full extent of…
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DHNow Newsletter, December 10, 2025
This issue was curated by Colleen Nugent McLean, DHNow Project Manager, and Lívia Clarete, DHNow Guest Editor. This week, our first two Editors’ Choice selections are concerned with text analysis. The first Editors’ Choice is an article that considers the emotional impact of design choices on data visualizations. The author creates a visualization of the…
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DHNow Newsletter, December 3, 2025
This issue was curated by Colleen Nugent McLean, DHNow Project Manager, and Abirlal Mukherjee, DHNow Guest Editor. This week, our first two Editors’ Choice selections are concerned with text analysis. The first Editors’ Choice is an article that discusses how large language models have improved handwritten character recognition. Handwritten text has long been the biggest…
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CFP: DH2026 “Engagement”
The Alliance of Digital Humanities Organizations (ADHO) invites submissions for its annual conference, DH2026, to be held in Daejeon, South Korea, from July 27 to 31, 2026. Our theme, “Engagement,” highlights our commitment to fostering meaningful connections—both among diverse communities and between humans and emerging technologies. It emphasizes vibrancy in community interactions and critical reflection…
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Resource: Absolute Units of Letterpress: Plus Rad Measurement Facts | Zine Bakery
A 20-page standard-size, full-color zine co-created by Amanda Wyatt Visconti and Shane Lin. “Absolute Unit”: An entity exceedingly pleasing to the eye & soul by virtue of unusual-for-its-kind square or stocky dimensions. Absolute Units are exemplars of: stability! solidity! abundance! confidence! A model for insisting we deserve at-homeness in our world. A righteous & unbothered…
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Job Announcement: Online Resources Librarian at Drexel University
Reporting to the Manager of Library Information and Technology Services, the Librarian manages the Acquisitions program which provides access to the Libraries’ owned and licensed resources. This program is responsible for the ordering and processing of electronic resources for the Drexel University Libraries, including some tools and services to manage them. The Librarian also oversees…
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Announcement: DH Benelux 2026
We’re pleased to announce that the 13th edition of the DH Benelux Conference will take place in Maastricht at Maastricht University. The annual DH Benelux Conference serves as a platform for the community of interdisciplinary Digital Humanities researchers to meet, present and discuss their latest research findings and to demonstrate tools and projects. We’re excited…
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Editors’ Choice: Crowdsourcing Science Memory Before the Web: 1932, 1969, & Today
In April 1969, Physics Today published a photograph of the American Physical Society’s 1932 banquet at the Ambassador Hotel in Atlantic City. The striking group portrait, dense with faces, was paired with an open call to readers: How many diners can you name and locate? This was more than just a photo caption challenge. It…
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Editors’ Choice: Benchmarking Large Language Models for Handwritten Text Recognition
Traditional machine learning models for Handwritten Text Recognition (HTR) rely on supervised training, requiring extensive manual annotations, and often produce errors due to the separation between layout and text processing. In contrast, Multimodal Large Language Models (MLLMs) offer a general approach to recognizing diverse handwriting styles without the need for model-specific training. The study benchmarks…