The evolving digital ecosystem presents new ethical challenges for researchers in the (digital) humanities and social sciences. This workshop addresses those challenges by highlighting the critical importance of understanding best ethical practices. The results of this workshop will be developed into a white paper for wider discussion and dissemination.

When Worlds Collide: A Literary Linked Open Data Model Critiqueathon offers a unique opportunity for computational literary scholars to engage in a rigorous and imaginative examination of their modeling practices. By fostering critique, empathy, and collaboration, this workshop will contribute to the advancement of ontologies for Literary Studies.

In this workshop, we will provide a framework for conceptualizing how contemporary synthetic image generators work, from theoretical and technological perspectives. We will demystify the image generation process and equip participants to use these tools in their own work and explain what is happening “under the hood” in plain language.

The DiScEPT platform offers an innovative solution for creating digital scholarly editions with aligned translations. By integrating open-source, modular tools, it facilitates the alignment of multilingual texts, supporting comparative studies and in-depth analysis of translation processes. Adhering to FAIR principles and leveraging advanced NLP technologies for automatic text alignment.

This study presents the first systematic approach to automated interlinear translation of Ancient Greek texts using neural models. Using the New Testament as a case study, we demonstrate how machine learning can assist in creating morphologically-aware translations, achieving strong results across English and Polish target languages.

An algorithmic edition transforms digital scholarly editing by emphasizing machine-readability and computational analysis. Utilizing ATAG and ENC, it enables precise, dynamic access to text segments, annotations, and metadata. This structured, networked approach supports interdisciplinary collaboration, advancing digital humanities by integrating texts, data, and technology into comprehensive systems for scholarly exploration.

Perante os desafios digitais que o Museu Nacional Resistência e Liberdade enfrenta no seu webiste, este estudo em curso apresenta uma intervenção das Humanidades Digitais que visa a melhoria da comunicação e acessibilidade dos conteúdos ligados ao memorial de antigos presos políticos e das suas fugas prisionais.

The results of a series of interviews with 24 critical cataloguing practitioners working in museums or with museum data are analysed using the concepts of radical empathy and an ethics of care in order to elicit requirements for a computational approach to addressing problematic terminology in museum catalogue data.

This paper reports on an ongoing study of collectors’ bias in the representation of Jewish related-content in an online digital collection. In doing so, we expand upon recent work on the museum’s collection history through collection data analysis. We look at what such data tell us about representations of minorities.

Our project sets to use 3D as a tool for visualizing and reactivating ephemeral architecture of eighteenth-century opera in Portugal documented by old master drawings in a new production which will combine an exhibition with opera performance and new digital media and animation.

GLAMs face challenges in reaching diverse audiences, despite their cultural importance. This study explores the use of citizen science in archive digitisation, focusing on why it's chosen, participant demographics, and opportunities for more inclusive project design, to ensure broader public engagement and representation in cultural heritage.

This paper presents a computational toolkit for disseminating historical stereographs in virtual reality (VR). Combining automatic restoration, augmentation, and visualization, the toolkit addresses systemic barriers to large-scale dissemination. It enables immersive engagement with digitized cultural heritage, bridging historical stereoscopy and contemporary VR to revolutionize access to 19th-century immersive media.

This paper explores how digital games and playfulness foster visitor engagement in museums, drawing insights from five digital interactive exhibits and visitor experiences across different cultural backgrounds, presenting the first conceptual framework of playfulness in museums.

This paper will look into the British Library’s commitment to embedding environmentally sustainable digital humanities practices and technology choices, highlighting staff-led initiatives, a Climate Change Strategy, and collaborations like with the Digital Humanities Climate Coalition. Future plans involve a 2025 training programme and a sustainability guide.

Como is an open-source platform designed to engage users through Games with a Purpose (GWAPs) -interactive, problem-solving quizzes with an additional purpose. With its modular system, Como lowers barriers to entry for both creators and participants, encouraging involvement in data collection and validation, with a special focus on mobile apps.

The following proposal describes a collaborative project involving researchers at Durham University, and professionals at the Bowes Museum, Barnard Castle, County Durham, UK, during which we used fixed and mobile eye tracking to understand how visitors view art. The results will inform a rehang of the museum's art.

This project aims to preserve Ukraine's cultural heritage through photogrammetry and 3D modeling, documenting and reconstructing damaged UNESCO-protected sites. The first step focuses on Odessa, with advanced digital tools integrating archival data to support accurate restoration, safeguard cultural identity, and contribute to post-war recovery and legacy preservation.

This study uses pose detection algorithms to analyze gendered representations in Renaissance art (1450–1600), focusing on leg spread, head tilt, and pose dynamism. Results reveal minimal gender differences in activity levels, challenging assumptions of the active/passive dichotomy. The findings underscore the potential of computer vision in re-evaluating art historical theories.

This paper presents empirical demonstrations of register effects for political discourse, literary analyses, L2 pedagogy, gender studies, and legal interpretation and aims to foster a discussion around how linguistic research on register contributes to interdisciplinary endeavors in digital humanities. Case studies use authentic language data and quantitative corpus linguistic methods.

This paper uses literary references on the quiz show Jeopardy! as a proxy to measure literary canonicity in the United States over the preceding forty years.

Seeking boundary objects within a feminist literary historical dataset, we created a context diversity measure that reflect the situatedness of the data and dampens the effects of canonization in a network graph of relationships among ~1500 women authors, outperforming other measures of significance in graphs when it comes to identifying less canonical figures.

This research examines a critical gap in current digital text infrastructure for individuals with print disabilities: the systematic inaccessibility of specialized Unicode-encoded characters essential for academic discourse. Our investigation showcases the development and implementation of Niv Louie, an innovative software solution designed to facilitate access to previously inaccessible digital content.

The presentation introduces a Writing Assistant System designed to simplify and enhance the creation of easy and plain language texts in Italian. Addressing communication barriers in public administration and supporting inclusivity, WAS provides real-time feedback and educational tools, combining AI-driven suggestions with human oversight to improve accessibility and writing skills.

This presentation examines critical digital literacy as a multifaceted competency. Drawing on a Master’s-level course where students create 3D scholarly editions of toys within an authentic learning environment, we demonstrate how they develop skills, including critical and creative making and collaborative problem-solving –transcending discipline-specific knowledge to prepare for the digital and creative economy.

This study explores how the American magazine The Delineator reflects the evolving representation of the 'New Woman' from 1894 to 1914 through its visual content. By employing artificial intelligence techniques, particularly CLIP, the research shifts focus from text to visual analysis, revealing insights into societal perceptions of femininity.

This paper demonstrates how ChatGPT simplifies SKOS thesauri creation from hand-drawn sketches or digital drafts, improving efficiency over traditional editors. Testing with DH and fictional taxonomies reveals high accuracy but minor errors. While less suited for large thesauri, this method promotes FAIR data practices and facilitates SKOS thesauri development.

This paper introduces an interdisciplinary pilot project centered on the automatic transcription of Catalan manuscripts from the Late Middle Ages, focusing on notarial documentation. We describe the creation of a new dataset for our initial experiments. The resulting datasets, models, and code will be made publicly available.

We describe advances and results in developing four accurate Handwritten Text Recognition models for the automatic transcription of Itálica cursiva, Procesal simple, Redonda, and Procesal encadenada calligraphies, the most prevalent in 16^th-17^th-century Spanish American historical documents.

This study explores the use of large language models (LLMs) for correcting OCR errors in 19th-century French texts. Despite its advanced capabilities, fine-tuned models faced challenges with generalization, increasing error rates. The findings highlight limitations of LLMs in character-level OCR corrections and point to future research directions.

We present an Open Information Extraction pipeline to identify and address knowledge gaps in Wikidata for underrepresented writers, using the Leksikon Fun Der Nayer Yidisher Literatur as a case study. Our approach benchmarks representation, assesses property alignment, and introduces resources to enhance digital humanities research on marginalized literatures.

This study presents a reproducible framework for publishing and reusing bibliographic metadata from GLAM, focusing on the European Literary Bibliography. It emphasizes Linked Open Data transformation, metadata enrichment, and computational reuse via Jupyter Notebooks. Key contributions include a framework, DH research scenarios, and tools enabling scholarly exploration of bibliographic collections.

Semantic modeling can play an important role in enhancing accessibility to the immaterial culture related to artifacts. To this end, we examine whether the domain standards CIDOC-CRM and LRMoo can express the interactions of an artwork with the contexts it traverses through a case study of XVII Century integrative restoration.

This study introduces a domain-specific ontology and digital archive for classical vocal music ephemera in South Korea. Addressing data fragmentation and inconsistent formats, it integrates Linked Open Data principles and visualization tools to ensure accessibility, cultural preservation, and analytical exploration across a decade of performance ephemera.

This paper presents a project undertaking the digitisation, enrichment, modeling and publication of modern and historical wine labels from the German Mosel region as witnesses of local cultural history using manual annotations and multimodal Large Language Models for enrichment and Linked Open Data for data modeling.

This paper shows the necessity and motivation behind historicizing the power/knowledge embedded in LOD vocabulary systems. By utilizing CRMaaa, this paper presents a lightweight data model as a “quick fix” to augment existing vocabulary systems. This paper uses a particular case from a 19th c. painted panorama in Switzerland.

Sustaining open source software can be challenging. We discuss collaboration on the Universal Viewer (UV), software designed to display cultural heritage collections. We highlight methods including innovative, inclusive and multi-institution sprints. We showcase UV’s evolution, including accessibility and user experience enhancements, future plans and ways for others to contribute.

This study explores the emergence of digital history in Kazakhstan, Kyrgyzstan, and Uzbekistan, highlighting innovative projects, thematic focuses, and methodological shifts. Integrating literature reviews, interviews, and community events, it reveals infrastructural challenges, underscores postcolonial dimensions, and suggests that diverse, region-specific approaches can enrich global digital humanities discourse in meaningful ways.

This paper uses Chinese word vectors to develop a conceptual history of humanism and related keywords in a post-1945 modernist literary journal from Malaysia, and contributes to scholarship on digital multilingual practices, by asking how to accurately represent semantic and syntactic information from languages of non-Latin script in geometric spaces.

Using a historically informed approach, this contribution proposes a way to reconstruct historical ship 3D models, starting from their 2D drawings. It offers a study of the way ships were drawn, and uses this to charactyerise them as a parametrised problem.

Since 2015, the International Image Interoperability Framework (IIIF) has implanted itself as a standard for the storage, sharing and manipulation of digital documents in the GLAM sector. In this panel, we shall hear from IIIF specialists and researchers from the DH community about how IIIF is used for research.

Social scientists increasingly use NLP for large-scale text analysis but face programming challenges. CodeFlow automates code generation and optimization via LLMs, translating research goals into functional code. It achieved 0.95 accuracy in sentiment analysis with a BERT-based classifier, allowing researchers to focus on questions while ensuring computational rigor.

Pandore is a user-friendly toolkit for humanities and social sciences, enabling data collection, preparation, analysis, and visualization without advanced coding skills. Recent updates include bug fixes, interface enhancements, integration of modular Python scripts, a connection to Gallica, and deployment on a GPU-equipped server.

This paper is a presentation of Flow Filter - a generalisable exploratory visualisation tool and query builder designed to aid serendipitous discovery of large data sets and aid hypothesis formation. It will present the concept and rationale and illustrate its use and effectiveness via three case studies of historical datasets.

Open Science requires the development of specific skills, that can be named as Open Science Literacy (OSL), already described in a previous research. This new study intends to identify a set of elements that could fit the presented OSL scheme and propose a Digital Humanities OSL chart of competencies.

This study evaluates Large Language Models (LLMs) for Named Entity Recognition (NER) on a poetic form i.e., Marisya in the right to left Urdu script. The scarcity of annotated Urdu datasets by creating a human-annotated corpus is addressed and the performance of LLMs against the human-annotated corpus is evaluated.

This panel examines the ethics and emergent challenges of what "open" now means in the current age of AI. The four papers each engage with this question from different though related perspectives: data sovreignty, project design and privacy, pedagogy, and artistic labor.

Este panel reúne proyectos que han construido infraestructura digital colaborativa y abierta para la preservación, análisis y acceso a la documentación en contextos de bajos recursos, incluyendo infraestructuras para digitalizar, sistematizar, interrelacionar, analizar documentación de archivo y desarrollar nuevas estrategias pedagógicas y de divulgación del conocimiento histórico.