During this workshop, the team will introduce the MapReader software library and how it fits into a growing ecosystem of computer vision tools for humanities research with maps. Participants will explore MapReader's image classification and text spotting features using colab notebooks and reflect on working with maps as data.

The workshop will trigger the free design of citizen science workflows across digital and physical environments. An utopian design approach will allow exploring how better facilitating the framing of research questions in participatory citizen science projects, and how supporting new science communication and publication formats within the open science ecosystem.

Does manuscript encoding still have a place in Digital Humanities? Under what conditions? Panelists will reflect on over a decade of experiences with projects, tools, and theories, interrogating what encoding once offered, what it failed to deliver, and what lessons its rise and decline hold for the future of DH

This study examines the discourse on the Slovene language from the late 18th to early 20th centuries using the sPeriodika corpus. Findings indicate that this discourse facilitates linguistic planning and national identity formation, highlighting the significance of historical newspapers in understanding the interplay between language, culture, and identity.

We present a massive model for Western cursive hands. The model shows good performances used from scratch, and even excellent ones when being fine tuned. Entirely open, it is a flexible and efficient solution for projects with limited funding or strict security requirements.

This study demonstrates how Multiple Instance Learning enables both accurate and interpretable analysis of visual features in colonial Korean printshops. While achieving 92% accuracy, our model reveals that reliable identification depends on examining common rather than distinctive elements, making computational analysis meaningful for humanities research.

This paper reports on a project in which a multidisciplinary team, the Lelepa community, and Vanuatu cultural heritage staff digitised Fels Cave, a UNESCO World Heritage site on the island of Lelepa in Vanuatu. The site, with engraved and painted rock art walls, is of considerable cultural and spiritual significance.

The current submission describes the latest developments within the project Cultural HeritAge and Multilingual Understanding through lexiCal Archives (CHAMUÇA). The latter initiative seeks to create a (linked data) knowledge graph that analyses the impact of Portuguese on the vocabulary of numerous Asian languages.

The steep barriers that Digital Humanists face when assembling datasets are made insurmountable by perceived copyright restrictions. This paper will introduce the Data Speculations project, which combines a speculative approach with fair use interpretation to imagine cultural heritage workers and researchers stewarding - rather than licensing - corpora of copyrighted cultural data.

Un proyecto de ontología de los festivales de cine autóctono de Abya Yala basado en catálogos de los festivales. Dado un corpus inicial de catálogos se construye una taxonomía/tesauro de los términos (conceptos) fundamentales y posteriormente una ontología formal que describe el dominio de conocimiento estableciendo relaciones entre los conceptos.

Mobile Subjects: Contrapuntal Modernisms investigates postwar movement of artists through the colonial hubs of London and Paris, seen as intersections of transnational flow. It rewrites art historical narratives emphasizing mobile identities and interconnections. The database and interactive visualizations highlight interconnectedness and emphasize, rather than erasing, the situatedness of the data.

This paper presents GRACEFUL17's scalable digital strategy for analyzing early modern church administration data. Combining AI, knowledge graphs, and visualization tools, it efficiently processes vast serial sources from the Vatican Archive, enabling exploration and fostering insights into ecclesiastical, administrative, and social history within an open, collaborative framework.

Este experimento propone capacitar estudiantes en edición digital de música y codificación musical, vincularlos con prácticas musicológicas digitales actuales, y fomentar la inclusión de músicas populares en la enseñanza a través de actividades prácticas, modernizando programas académicos y alinear formación con demandas contemporáneas.

For many years, digital humanities scholars have taken on academic leadership roles. Now that “digital transformation” is a preoccupation for higher education institutions, how can digital humanities scholars support their universities so that emerging technologies enhance the individual and collective campus experience, and expand access to university learning?

This project seeks to develop an inexpensive AI model customized to access XML information from the TEI Guidelines and related tutorials for learning XML stack processing. We seek the optimize the assistant as a guide for decision-making required in humanities text encoding and processing.

Markup languages and XSLT are important in DH coursework and projects as a counter to passive acceptance of AI-enhanced writing systems. This paper investigates how student designers and developers gain authority over technological infrastructure in learning to develop and re-mediate their own markup systems.

Our project introduces a BERT-based machine learning model of generic mixture for classifying individual passages from nineteenth-century Gothic novels by their relationship to other, non-Gothic, contemporaneous genres. Our method offers not only important insights into individual novels, but also a new way to track generic transformation over time.

This paper uses plagiarism detection software and social network analysis methodologies to compare nineteenth-century American and Hebrew journalistic networks. Results reveal stark differences in frequency, context, and style of textual reuse. The differences reflect distinct cultural roles of the media in shaping public knowledge and identity.

Este trabalho traz uma reflexão crítica, embasada em um estudo de caso, sobre a tendência dos métodos computacionais de análise textual priorizarem o que estatisticamente se repete, dificultando o acesso do analista do discurso a certas nuances. Argumento pelo uso de métodos mistos para acessar o 'não-dito' pelos jornais.

This presentation introduces a scaffolded pedagogical guide to teach the practice of discovering, understanding, and evaluating DH tools and techniques that align with research objectives. It is founded on critical digital literacy skills for search processes and the context in which researchers develop new information.

This study examines ethical challenges in open science within Digital Humanities, focusing on balancing transparency, privacy, and compliance with data protection laws. By analyzing two COVID-19-related projects in Brazil and Portugal, it highlights informed consent practices, proposing adaptive governance models and strategies to harmonize openness with individual rights.

This paper presents a case study of web scraping for interdisciplinary research, highlighting both the practical implementation of these methods and strategies for overcoming similar challenges. We position web scraping as a crucial tool for ensuring data is accessible, not as a commodity, but in line with FAIR principles.

Some big emerging questions are about humans conversing ever more with AIs. For instance, how will we be affected? Yet, despite the volume of human/AI conversations, few public archives exist to preserve them. My paper introduces Preserving AI Voices, a public digital humanities project that creates such an archive.

Kalpana explores the transformative role of digital technologies in reimagining museum spaces, focusing on immersive storytelling and experimental museology. Highlighting Global South perspectives, the project integrates AI-generated visuals and multimedia narratives to address inclusivity, accessibility, and decolonial aesthetics, offering innovative frameworks for cultural preservation and engagement in the digital age.

Accessibility and inclusivity are central to two University of Cologne projects compared here. Virtual Campus employs VR and AR for accessible campus navigation and cultural heritage engagement. ARTEST advances DH education and collaboration internationally. Both local and global initiatives for accessible, inclusive education are needed and benefit from mutual exchange.

This paper develops a critical ontological framework to map 19th-20th century performance histories in Asia's archipelagic regions. Introducing Archipelagic Performance Histories Ontology (APHon), the domain ontology captures fluid geo-social relations and touring practices, challenging nation-centric narratives through a structured yet flexible framework that represents complex cultural and historical data.

We investigated the use of virtual technologies to digitise and enhance cultural heritage (CH), aligning with Open Science and FAIR principles. Through case studies in museums, we developed reproducible workflows, 3D models, and tools fostering accessibility, inclusivity, and sustainability of CH. Applications include interdisciplinary research, educational innovation, and CH preservation.

Our submission reviews 20 digital interfaces for CH data from 2015 to 2024. It finds 6 common objectives stated by the authors of the reviewed use cases but highlights that not all stated objectives are equally well evaluated.

This short presentation examines the overlaps between technical and professional communication (TPC) and digital humanities (DH) by using TPC content analysis methods to examine the interfaces of 100 DH project websites. It describes common DH web design features and offers insight regarding the development of accessible and sustainable DH projects.

The CLARIAH-EUS-gArA project aims to enhance DH research by developing a trustworthy conversational assistant for Basque news using RAG and Latxa, a Basque LLM. It integrates AI and LT to address misinformation, verification, and reliability, thereby providing accurate, up-to-date responses in Basque to aid researchers in fact-checking and accessing sources.

This study evaluates Graph RAG’s applicability to the humanities, focusing on Caesar’s Gallic Wars, volume 1. A knowledge graph was constructed using LLMs, enabling the retrieval of semantically structured data. The results highlight the potential of enhanced knowledge graphs for broader applications, emphasizing evaluation methods and expert-driven graph development.

Non-coding tools have expanded accessibility in digital humanities, empowering researchers without programming skills to perform data-driven analyses. However, there are currently few tools to assist non-coders with converting and cleaning data. This paper presents a Shiny application for data preprocessing positing that similar small-scale solutions could help bridge this gap.

We analyse collaboration networks in Mexican theatre productions from 1900 to 1989. Our results suggest that the periods with more stable funding tended to have more closely knit communities, and institutional eras are dominated by more stratified and distinct communities.

This study investigates regional variations in Japanese children’s songs (warabe uta) by classifying melodies into "word-based" and "melodic" types using machine learning and GIS tools. Results reveal distinctive regional and demographic trends, with Kyoto’s melodies more "melodic" and urban areas favoring "word-based" styles, highlighting sociocultural and environmental influences.

This study explores the collective memory and national identity of the Visegrad Group (Czech Republic, Hungary, Poland, Slovakia) using innovative methodologies such as digital humanities, network modeling, and audio spectral analysis. Combining historiographical analysis with emotional and spectral analyses, it reveals intergenerational and sociocultural dynamics shaping memory and identity.

This short presentation focuses on a reproducible Information Retrieval Q&A pipeline tailored for historiographical corpora, specifically the theses abstracts of our university (3,000+ texts in French). It addresses retrieval challenges by integrating vector-based indexing, semantic search, and LLMs, offering structured, contextualized responses to enhance research and exploration in large corpora.

This study introduces SentiAnno, a sentiment-annotated, topic-specific corpus of Austrian historical newspapers (1700–1938). Focusing on the topics of migration and minorities, SentiAnno enables fine-tuning of LLMs for sentiment analysis and topic classification. Annotation processes, tools, and inter-annotator agreement are described, with the final corpus to be published on Zenodo, supporting FAIR principles.

FLAME, using Leave-N-Out grams, detects formulaic language in medieval charters despite variations in wording and structure. It overcomes limitations of traditional n-gram and skip-gram approaches by flexibly capturing long-range dependencies and identifying functional equivalence across diverse expressions. FLAME facilitates analysis of formulaic language evolution, revealing flexible patterns in legal language.

We use BERTopic to analyse themes in the bilingual speeches of the Carniolan Provincial Assembly. We examine common topics discussed in the sessions and how they change over time to gain insight into the key societal issues at the regional level in the Austro-Hungarian Empire at the turn of the 19th century.

This presentation explores the paradox of increased access to digital tools for documentation and archiving. While access empowers community-driven efforts, it also exacerbates challenges such as market saturation, unpaid labor, institutional dependency, misinformation, and external manipulation. Case studies from Brazil and Iran reveal how accessibility can undermine autonomy and accuracy.

This paper explores a crisis in global AI Art culture, which tends to be appropriated by corporate entities that do not respect the principles of FAIR and CARE. What this means is that AI, despite its technological potential, more likely exacerbates inequality and discrimination in collectives like indigenous cultural expressions.

The Journal of Open Humanities Data supports FAIR data sharing and reuse through peer-reviewed articles. In 2024, a special collection of papers titled Amplifying GLAM Collections: Scalable and Inclusive Data Practices was created to increase representation of cultural heritage datasets and practices. This paper will describe the results and implications.

Many African policies position both digital /AI technologies and cultural industries as engines of sustainable development, but use of AI can also undermine artist livelihoods. The paper will consider how African policy frameworks could support communities in managing, protecting and promoting their digital cultural information in the age of AI.

Cette étude présente la création d’un corpus de romans du 19ᵉ siècle annotés en entités nommées dans leur intégralité, et l’élaboration d’un modèle de reconnaissance d’entités nommées adapté à de tels longs textes littéraires, et disponible librement en ligne. Nous évaluons ses performances, démontrant sa précision et sa robustesse.

This paper investigates the problem of synonymy in the langugage, namely is a classifier based only on word embeddingsl able to correctly classify synonyms according to their origin.

Although the language used for this analysis is Modern Hindi—significantly underrepresented in contemporary language research—the methodology presented is language-agnostic.