DHNow

Author: Max Planck Institute for Art History

Job Announcements, News

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 […]

Announcements, News

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 […]

News, Resources

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 […]

Announcements, News

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 […]

CFPs & Conferences, News

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 […]

News, Resources

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 […]

Job Announcements, News

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 […]

Announcements, News

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 […]

Editors' Choice

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 […]