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.

Das Panel diskutiert Ansätze zur Gestaltung diskriminierungssensibler Metadaten und analysiert drei Fallstudien aus GLAM- und Universitätskontexten. Im Fokus stehen ethische Herausforderungen, FAIR/CARE-Prinzipien und praktische Lösungen aus dem Handbuch zur Erstellung diskriminierungsfreier Metadaten für historische Quellen und Forschungsdaten (Mähr/Schnegg 2024). Ziel ist die Förderung transparenter, inklusiver Datenpraktiken über den gesamten Forschungsdatenlebenszyklus hinweg.

This paper introduces a digital database and GIS mapping project that uses ArcGIS to map and compile data from treasure-hunting excavations that occurred across the early modern Hispanic world.The project will be hosted publicly, allowing users to gain a better sense of premodern disturbances of the archaeological record.

This paper presents an interactive visualization platform and ETL pipeline for mapping institutional networks in digital cultural heritage. By analyzing data from multiple sources, including funding patterns and research outputs, the system enables humanities scholars to examine institutional power dynamics and supports evidence-based decision making for cultural heritage initiatives.

In this paper we present findings from a new crowdsourced resource - Speak for Yersel - which sets out to map dialect use in Scots throughout Scotland. How successful is crowdsourcing in revealing Scots in all its complex dialect guises?

Maps have their own visual grammar that combines graphical and textual elements in a unique form of meaning-making that is both multimodal and geospatial. We introduce a multimodal approach that allows us for the first time to approach text on maps as research data in its own right.

Novel openings’ similarities and differences raise literary-historical questions. With our contribution, we aim to advance that research by means of digital text annotation and spatiality analysis of the openings of a selection of 19th and 20th century novels in German and Spanish.

The idea of using the number of Wikipedia sitelinks as part of the “Metrics of World Literature” as “a simple measure of canonicity”, has been gaining traction. We aim to adapt the idea that multiple language versions can serve as a marker of canonicity to a specific canon project.

This contribution introduces a numerical canonisation score to measure and compare the canonicity of texts in English and German literary corpora. By generating doc2vec embeddings and calculating text similarities, it examines the influence of canonised works on subsequent literary production.

Presentation of a generic structure for book list data (transcriptions and book identification data) based on IFLA's FRBR standard to enhance interoperability and reuse of book list data among book historians for better analyses. We will discuss the structure and its use in two case studies.

This project builds a dataset that will serve as the basis for a supervised text classification model. We wiill present dataset characteristics, early text classification results, and the software tool that was used for the annotation of the pages.

Esta pesquisa investiga as métricas disponibilizadas por Repositórios Institucionais (RIs) brasileiros, destacando os desafios relacionados à padronização, acessibilidade e transparência desses indicadores. Com base em uma análise abrangente, o estudo discute o papel estratégico das métricas para avaliar a visibilidade e o consumo da produção científica.

OntoExhibit extends CIDOC-CRM by incorporating semantic-discursive dimensions into a queryable knowledge graph. The methodology integrates data from exhibition catalogs and art reviews using natural language processing and RDF mapping. This framework facilitates advanced SPARQL-based analyses, enabling a holistic view of exhibitions by bridging institutional and external narratives within cultural ecosystems.

In digital humanities, openness has become a default, bringing with it both possibilities for empowerment through knowledge distribution and challenges of replicating power imbalances and social oppression and repression. Two case studies demonstrate how critical refusal and slow scholarship, alongside indigenous data sovereignty, offer a shift in open approaches.

This study explores healthcare and migration challenges faced by South Indian trans women, highlighting limited central scheme access and inadequate state transportation support. It proposes the need for policy promotion, awareness, and inclusive mobility initiatives and a Google Maps platform to improve healthcare access and foster a supportive community.

This panel will explore a series of global studies and landmark guidelines for evaluation in DH in order to examine questions around evaluation aims, design, intended audience, thematic coverage, professional scope, actual impact and future projection based on multilingualism and geoculturally inclusive values at their core.

The GOLEM ontology for narrative and fiction establishes a framework defining the interrelationships among key narratological elements, such as characters, social relationships, and events. In alignment with Linked Open Data principles, the GOLEM ontology is developed as an extension of CIDOC-CRM and LRMoo, while aligning with the foundational ontology DOLCE-Lite-Plus.

This research models and constructs a knowledge graph for the Koji-Ruien, a Meiji-era encyclopedia, focusing on its cited waka collections.
By structuring relationships between topics, citations, and references, the graph enables interconnections with historical sources, addressing challenges in citation detail availability for Waka and other referenced materials.

The Provenance Interface addresses the complexities of provenance research, providing a robust, FAIR-aligned platform for tracing cultural objects' histories. Developed for the OFP Project, it integrates advanced tools, standardization, and secure collaboration to streamline workflows, enhance data quality, and support the ethical identification and restitution of looted art and artifacts.

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.

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 study applies stylometry to investigate possible changes in word usage in an author after surviving an episode of severe aphasia. Changes may have been observed in indefinite pronoun use.

Non-professional communities are vital partners in cultural heritage research. ATRIUM collaborates with diverse groups, from metal detectorists to deaf citizens, to improve accessibility and co-develop research. This presentation will explore our collaborative methodologies and the ongoing work on participatory research and its impact.

“Grounding Exercises” transforms online accounts of depersonalization and derealization (DPDR) into visceral, multi-sensory data visceralizations. Using text analysis, the project explores body-focused metaphors and symptoms shared on the subreddit r/dpdr, advocating for greater awareness of this under-researched disorder. These data-driven representations foster empathy, bridging gaps between sufferers, clinicians, and the broader public.

This project performs text analysis of news media and social media postings discussing autistic-created media as well as the broader conversation about autism to understand the impact of authentic autistic representation in mainstream media on the broader culture's attitudes toward autism and autistic people.

This research is grounded in recent scholarship on the geospatial analysis of the US Federal Census data from 1880, 1910, and 1920. Drawing on interdisciplinary approaches from the social sciences and humanities, the talk explores residential networks and domestic-social habitus— the unique characteristics of communities navigating profound social transformations.

Our project combines AI with citizen science to examine whether Japanese early-modern print (ukiyo-e) illustrators created landscape prints from direct observation or secondary sources. Using fine-tuned vision language models, GIS mapping, and crowdsourced spatial analysis, we authenticate artistic observation practices using historical and contemporary geographical data.

This project uses NER and digital mapping to preserve and explore the cultural heritage of the Baltic Germans. By analyzing the historical newspaper "Baltische Briefe" and visualizing historical locations, it provides an interactive platform to uncover geographical patterns and cultural narratives, demonstrating the potential of digital humanities for cultural preservation.

This paper explores the use of digital mapping to represent Colombian diasporas in New York and London, addressing the stigmatizing impact of hegemonic portrayals linked to the drug trade. By layering these narratives with counter-discourses, the project promotes a more nuanced, community-driven approach to history-making and knowledge democratization.

This paper examines Soviet nuclear testing in Central Asia using geo-technologies to map and analyze test sites' environmental and social impacts. By integrating GIS, archival records, and survivor testimonies, the study uncovers Soviet environmental colonialism, highlighting its lasting ecological and cultural consequences. It demonstrates geo-technologies’ role in historical and ecological justice.

This paper presents AI Emily, a pilot parallel corpus of 40 original and 360 AI-generated poems by, and in the style of, Emily Dickinson. This richly annotated dataset will provide an historical record of the developing poetic capabilities of generative AI models, with potential for use in cognitive neuroscience experiments.

This study leverages speech recognition technology to measure words per second (WPS) in theater productions, enabling the detection of rhythmic transformations and mutations during the creative process while addressing the challenges posed by stylized theatrical diction.

This paper seeks to explore Indian Digital Environmental Humanities (IDEH) by applying an ecophenomenological approach and survey analysis of viewers/players’ experience of two open-access Indian electronic literary works: Priti Pandurangan’s Meghadutam and Shanmugapriya’s Lost Water! Remainscape?

We argue that sonic technologies in museums dismantle colonial ‘empires of sight’ and increase the accessibility of cultural heritage through other senses. Through ethnographic field work examining current uses of sound and artistic experiments with AI sound generation, we connect histories of sonic innovation/intervention in museums to technofutures of AI.

The paper analyzes issues linked to AI-generated historical content, using Italian Fascism as a case study. It highlights risks such as incorrect data or biased interpretations of complex history, potentially distorting public memory and historical narratives in the AI era. ChatGPT exemplifies these challenges in generating reliable historical insights.

This paper analyses how 20th-century Latin American women writers engaged with European archaeological heritage in their travel narratives, exploring emotional resonances and perspectives of otherness. Employing Digital Humanities tools such as XML-TEI, GIS, CIDOC-CRM, and sentiment analysis, it examines their perspectives, linking them to historical memory and political discourses in

The contribution focuses on the digital scholarly edition of a 17th-century Chinese-Spanish dictionary, the "Bocabulario de lengua sangleya por las letraz de el A.B.C." The manuscript offers valuable insights into the Southern Min language, also known as Hokkien, as spoken by Chinese immigrants in early Manila.

In Qing Dynasty (1644-1911) vernacular fiction, embedded poems serve as a powerful narrative device. Some scholars described these poems as “parasitic," while others argue that they serve purposes far beyond mere embellishment. Our work uses cutting-edge computational methods to investigate the variety of narrative functions of embedded poems.

This study analyzes 767 maps extracted from three Victorian British periodicals (1842-1890) using multimodal AI techniques. By clustering visually similar maps and extracting toponyms, our distant viewing of this corpus examines how news maps and imperial cartography intersected to shape public imagination of the British Empire through illustrated periodicals.

Un modelo de datos que formaliza un dominio de conocimiento en el campo de los estudios histórico-culturales bolivianos: un corpus de literatura de viajeros en el Chaco boliviano. Este corpus se presta a un análisis “lectura distante” porque involucra entidades muy variadas en cuanto al tipo y la distribución geográfica.

The traditional guru-shishya (teacher-student) model of Carnatic music education presents challenges of access, personalization, and real-time feedback in contemporary contexts. Drawing from primary research, technological insights, user experience design and existing pedagogical practices, this study identifies opportunities for an AI companion to augment the human element in Carnatic music education.

This paper explores generative AI audio tools using a concept that I call computational audible infrastructures to explore their role in infrasomatisation. I focus on the code aspects to consider their role in affecting cultural tradition to draw on Benjamin and the removal of human context.

La presente propuesta tiene como propósito mostrar los primeros resultados del proyecto MUSred, cuyo diseño y desarrollo se basan en la complementariedad entre metodologías y herramientas propias de las humanidades digitales y de la musicología.

This study explores the use of facial expression recognition to detect and retrieve personalized music preferences for individuals with dementia. By analyzing emotional and physical responses, the research aims to create a user-friendly app that enhances emotional well-being and memory recall, offering a non-invasive, culturally sensitive solution for dementia care.

This paper advocates for new systems of cataloguing that make archival research for sound studies more feasible. Drawing on the J. Fred and Leslie MacDonald Collection at the Library of Congress, USA, I show how new metadata and tagging conventions can make sonic research in AV collections more feasible.

This paper explores techniques for automatic speaker attribution in literary novels using fine-tuned and prompted large language models.

A presente comunicação pretende promover uma reflexão deontológica sobre a integração de ferramentas de IA generativa no restauro digital de fotografias históricas. Através do debate teórico e exemplos práticos, são levantadas importantes questões que concernem a salvaguarda da autenticidade histórica, sendo necessária uma contribuição da humanística digital na sua aplicação.

Playwrights of the Spanish Baroque period (1600-1700) subverted classical theater conventions, creating new norms for the contemporary audience. In this paper we examine one new norm, the character archetype, 'gracioso' a humorous servant character. We investigate three aspects of the characterization of the gracioso using natural language processing tools.

“North York Recipes for Healing” (2023) is an open-access digital archive of oral histories, presented through ArcGIS Story map. The project documented the experience of the East Asian communities in Toronto, Canada during the COVID-19 pandemic, and encouraged the community to heal together through sharing culinary knowledge and stories.

The German Democratic Republic saw specific developments of pratices of dance during the division of Germany. Our contribution presents a pilot project to catalogue and preserve the cultural heritage of dance in the GDR through digital methods and engagement with contemporary witnesses.

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.

Only a few surveys analyse information visualisation practices in the Digital Humanities, limiting their results to specific sub-fields and narrow scopes. This work addresses these gaps by exploring the interplay between visualisation techniques, narrative structures, interactive approaches, and solutions to humanities visualisation problems across 186 web-based Digital Humanities projects.

More than Muses is a multilingual website where collaborators, especially students, curate texts by Iberian women, annotate secondary sources about these women, and compose original, rigorously-sourced biographies of them. This ongoing project has become an integral part of our teaching and mentoring efforts.

BibliText vise à pérenniser les données textuelles patristiques et bibliques en développant des outils adaptés pour l'édition et la consultation de corpus. Grâce à des chaînes de traitement TEI et une plateforme basée sur DTS, il garantit un accès durable et interopérable, en équilibrant rigueur scientifique et évolutivité technologique.

Il progetto Magic dell’Università degli studi di Napoli “Federico II” si sta occupando della digitalizzazione della collezione libraria di Francesco e Luigi Torraca, donata all’Accademia pontaniana di Napoli. L’analisi degli incunaboli e delle cinquecentine ha condotto anche ad uno studio statistico, il cui risultato ha evidenziato aspetti peculiari e significativi.

This paper demonstrates the ongoing effort of integrating metadata into the NFDI4Culture-KG, exemplified by the Gregorovius edition using an ETL pipeline, thereby addressing the challenge that the diversity and heterogeneity of cultural heritage data often provide barriers for querying and integration. NFDI4Culture is a consortium within the German NFDI.

An experimental work focusing on the creation of a pedagogical open source LLM to act as a tutor for teaching/learning digital methods to humanists. The paper presents the corpus, the methodology and reports on the first results.

Le programme « Lignes de Vie » incarne une recherche participative innovante, mêlant éthique et numérique. Basé sur une web-application, il explore les trajectoires des personnes exposées à des psychotraumatismes. Nous présenterons les modalités transversales de sa conception ainsi que les défis éthiques liés à la recherche en ligne.

A investigação apresenta o estudo prospectivo para a evolução do MVIM para obter o alinhamento com padrões nacionais e internacionais. A estratégia metodológica combina o uso de revisão bibliográfica com o estudo de caso sobre um recorte do acervo para avaliação do uso de metadados e delimitação de funcionalidades.

The Literary Artificial Intelligence (IAL) project investigates the possibility of formalising the definition of literary concepts using algorithmic principles. We focus on the concept of the variation inside the Greek Anthology. This paper summarises our methodology and preliminary results, and lays the groundwork for the next steps in the project.

Optical character recognition (OCR) has facilitated digitisation of historical materials, including literary texts, newspapers, and records. However, errors in digital archives limit their utility. This paper presents a post-OCR error correction method using a fine-tuned large language model to correct errors in nineteenth-century English-language newspapers, significantly improving upon existing methods.

We discuss the current status of developing a routine digital scholarship support program at the Library of Congress. Program areas and methods for computational access are reviewed, as well as opportunities for DH researchers to more deeply engage with the library.

This study uses inductive and deductive methods to analyze spatial representations in archival and narrative theory. This study develops a research framework for digital archival spatial narratives centered around the "story—discourse" space, with digital archives as the subject and digital media as the tool.

We utilize a database of archives pertaining to official investigations into secret religious sects, compiled and digitized by our team. This research facilitated by the “Optical Character Recognition and Proofreading Platforms” and “Digital Analysis System for Humanities”, two platforms developed by our team at the Academia Sinica.

We study the geospatial distribution and humanistic context of historical vernacular houses in Eastern Taiwan. We are using a data repository to disseminate the datasets collected for our research. For the current investigation, we will further develop a Data Management Plan with the goal of practicing the FAIR Data Principles.

O projeto Enacin, do Ibict, visa aprimorar a literacia midiático-informacional de jovens em Brasília por meio de um laboratório social, que nasce da cooperação com a Burburinho Cultural, através do Criar Jogos. O foco é o desenvolvimento da integridade da informação através de um curso de criação de jogos digitais.

Promptotyping introduces a methodology combining structured requirements engineering (PRISM framework) with Large Language Models for rapid development of research interfaces. By positioning LLMs as technical advisors, researchers can focus on data exploration while complex implementation decisions are automated, enabling near-instantaneous creation of custom research interfaces.

The Endangered Languages Archive is a digital archive, which holds audio-visual collections in more than 600 languages. This paper explores ELAR’s approach to make collections more accessible through the creation of regional portals. The process requires highly efficient tools and workflows for data curation, quality control, translation and data management.

Building upon the limitations of traditional spatial analysis, the project HiSMaComp aims to develop an ontology-based approach for recording and comparing the topography and morphology of historical urban spaces. By integrating GIS with semantic web technologies, the project allows for deeper, multidimensional, and standardised comparative analyses.

In this poster, we show how Le Pressoir addresses the challenge of a multimodal editorial chain. This will be achieved by exploring the functionalities of Le Pressoir and presenting proofs of concept involving works that have already been produced or are in the process of being designed.

This presentation reports on the development of a TEI viewer dedicated to a language area in which the TEI Guidelines were not widely. The viewer is intended to motivate people who are not good at programming to take up TEI encoding and has predictably been able to do so.

King's Digital Lab underwent a large-scale infrastructure modernisation, migrating 85 digital humanities projects spanning three decades. This included migrating from private infrastructure to central hosting, implementing a static-first approach for sustainability, and developing a decision framework for preservation strategies. The project demonstrates how technical modernisation serves long-term research accessibility goals.

This poster introduces the project Digital Documerica, a digital public project offering a search and discovery interface, interactive visualizations, and additional media resources to broaden the reach and access of a collection of nearly 16,000 documentary environmental photographs from the 1970s taken by the United States Environmental Protection Agency.

The poster presents the open TextGrid Repository for TEI documents with its basic features and some new developments. In particular, we describe the new and more user-friendly import workflow, which has already been used to publish new corpora, and invite other projects to join us.

IMeTo (Impact Measurement Tool), developed by IBL PAN within the GRAPHIA project, evaluates the societal and economic impact of research in the humanities and social sciences. Using AI/ML models, it automates impact assessment by classifying and generating descriptions. Designed for SSH institutions, IMeTo supports data-driven insights and promotes community engagement.

The poster aims to present the results of IBL PAN's work within the SoFAIR project. It highlights efforts to preserve research software in the digital humanities through the creation of annotated datasets, the refinement of machine learning tools, and case studies evaluating digital transformation and integration with the EOSC.

As an initiative aimed at collaborative publication and mangement of museum data, museum-digtial provides multilingual publication platforms on which museums from Europe and beyond publish their data together as well as a norm data repository, among others. This poster focuses on collaboration in and APIs of museum-digital's services.

Linked Pasts Japan (LPJ) promotes Linked Open Data (LOD) in the humanities by fostering collaboration among researchers and practitioners actively working in Japan. Building on global initiatives like Pelagios Network and Linked Pasts Symposium, LPJ connects projects, buidling a interdisciplinary community, and eventually enhances Japan’s international presence.

This poster presents 3D Stories, an open-source digital platform developed through collaboration between the Centre for Contemporary and Digital History (C²DH) at the University of Luxembourg and the Urban Complexity Lab (UCLAB) at Potsdam University of Applied Sciences where historians, researchers, and the public can explore cultural heritage objects.

The HERMES Data Competence Centre develops bespoke training formats for researchers in the humanities and cultural studies, addressing the growing demand for digital data literacy. The Data Carpentries and BYODL formats bridge gaps in digital skills, promote interdisciplinary collaboration, and support Open Science by fostering transparency, inclusivity, and equitable access.

Este póster presenta un espacio virtual del Grupo de Investigación de Escritos de Mujeres de la UNAM, que rescata y publica escritos de mujeres para comprender sus experiencias. A través de bases de datos, archivos y exhibiciones, busca difundir sus voces y ofrecer una crítica a las narrativas históricas dominantes.

Stemmatology is the reconstruction of text transmission based on surviving manuscripts. StemmaWeb is a web enabled suite of tools that aids in variant analysis and stemmatological computation. StemmaWeb 2.0, in active development, will launch in 2025. Our poster will detail new features and various academic projects utilizing StemmaWeb.

This study adopts a structured approach to develop a corpus of ‘Shōmono’ materials, consisting of oral commentaries on Chinese texts in Late Middle Japanese. Our research aims to create a pilot corpus of annotated texts and establish a framework for representing the relationship between Chinese texts and their Japanese annotations.

This poster contribution investigates the impact of review copies on German online book reviews from the social cataloging site LovelyBooks. The phenomenon "influence" is analysed across five dimensions, such as review positivity or complexity. To measure the dimensions, methodologies from the field of Natural Language Processing are applied.

In this poster, we present Arvest, a free and open source web app for the analysis of multimodal digital heritage entirely based on the IIIF standard. The tool's main features allow for media hosting, creation of multimodal projects, various types of annotation (including video), and an open RESTful API.

This poster expands our work on stage direction classification in French via fine-tuning pre-trained language models and prompting large language models (LLM), testing new models, hyperparameters and prompts. A new qualitative analysis of LLM results showed limits in our reference annotations, and how LLMs can help identify them.

Tohoku University in Japan is digitizing the Derge Edition of the Tibetan Buddhist Canon, developing two databases for metadata, portrait images, and captions. Using its publicly accessible digital archive and the IIIF framework, this project enhances global accessibility, advancing Buddhist studies through innovative digital archiving.

This poster introduces the CoMEMM framework, developed in the ERC-funded PRIMA project, for systematic codicological descriptions of Early Modern manuscripts. Integrating stratigraphic principles and computational analysis, it captures material and structural features, enabling cross-collection analysis, production pattern identification, and data interoperability. CoMEMM advances digital codicology and manuscript studies through extensibility and interdisciplinary applications.

This study examines the overlap between populist and extremist narratives in parliaments by analyzing "common sense" and considering factors like party orientation, government-opposition roles, gender, and spatio-temporal information. To this end, we use corpus linguistic methods and topic modeling on ParlaMint-en 4.1, a corpus of speeches from 29 European parliaments.

Presenting a novel digital public history approach, this project leverages RAG and map visualizations linked to a graph database to provide immersive access to Cold War-era Berlin transport data. Users interact via natural language queries, enhancing engagement, accessibility, and fostering citizen science contributions.

This project uses qualitative interviews with American middle-school students to explore how they make sense of word clouds from both data literacy and ELA perspectives. The interview asked them to read a word cloud, read the poem used to generate that word cloud, and then compare the two textual representations.

The evolution of classical Japanese poetry, waka, was investigated to elucidate the evolutionary dynamics of culture. Whether anthologies could be interpolated and extrapolated, whether the real time series were distinguishable from the time-reversed and shuffled ones, and whether the Matthew effect existed were examined.

I aim to introduce my project on creating a dataset for analyzing the historical evolution of character shapes in the Japanese writing system. I also invite scholars to discuss how the dataset design can enhance studies on character shape evolution in general, and, more specifically, for the Japanese writing system.

DHTech is a community for people doing technical work in DH. In 2020, DHTech ran a survey to better understand who is developing code in DH. To understand how the environment for research software engineering practitioners in DH has changed, we are now repeating the 2020 survey.

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.

Discovering audiovisual collections is often achieved through contextual metadata. On this panel, project partners describe using AVAnnotate, open-source software that leverages IIIF and GitHub in a minimal computing workflow that produces standards-based, user-generated, online projects that provide sustainable and much-needed commentary and context around under-used and culturally sensitive AV collections.

This panel will explore how the construction of datasets about named enslaved individuals and the publication of those datasets online has allowed historians to reach new audiences and to draw new conclusions about both the collective and individual agency of enslaved people.

This study investigates the use of computational audio analysis to examine ideological narratives in Nazi propaganda films. Employing a three-step pipeline—speaker diarization, audio transcription, psycholinguistic analysis—it reveals ideological patterns in characters. Despite current issues with speaker diarization, the methodology provides insights into character traits and propaganda narratives, suggesting scalable applications.

The Chromobase depicts how the new colouring materials and techniques invented in the 1850s brought about new ways of thinking about colour in literature, art, and the history of science and technology. We present a narrative-driven methodolody and a writing-publication web application which depicts this 19th century “Colour Revolution”.

The PREC.PT project examines the role of Theatre and Performance in democracy building during Portugal's ongoing Revolutionary Process (1974–75) through archival research and oral history. Leveraging multimodal digital oral history, the project's archive aims to integrate paralinguistic and text-based annotation and indexing to improve data analysis, access and user experience.

The paper is methodological reflection on co-occurrence networks in drama research. Comparing a manually encoded gold-standard corpus with more operationalized approaches, we highlights critical trade-offs between convenience and rigor. Ultimately, we aim to offer insights into improving network analysis for drama research and refining the balance between scalability and accuracy.

This submission deals with the digital edition of the theatre chronicles of Philip Gumpenhuber and the challenging modelling of historical performance data.

This study examines the impact of the Festival Off Avignon on Parisian theater programming, focusing on its 2013 edition. It calculates reprogramming rates for festival shows and employs text mining and topic modeling to identify which features, like genre and theme, appear most frequently in the reprogrammed shows.

Data discoverable on the Semantic Web allows for the exchange of structured information across projects.Through this exchange we can enhance own scholarship amongst researchers. Now, we need to consider how this exchange helps us to collaboratively shape the narratives that lie within that data.

The Socface project aims to process the complete French historical censuses (1836-1936) using integrated handwriting recognition models to manage millions of records. Challenges include scaling workflows, ensuring data quality and developing integrated models for different layouts. The entire database will be openly accessible to enable extensive social and historical research.

Enhancing text-to-image (T2I) models for historical event reconstruction involves refining prompts with retrieved context via GPT-4o. This study evaluates alignment using QG-VQA metrics and Likert-scale ratings with history students and MLLMs. Results show improved performance on DALL-E 3, FLUX.1, and SDXL, surpassing baseline models and human-generated prompts.

This paper explores the visual dimension of German children’s literature (1801–1914) using a scalable viewing approach. By combining deep learning models and exploratory tools, we analyze 230,000 illustrations to uncover patterns in reading, play, and teaching scenes. The method bridges close and distant viewing, enriching research on historical visual archives.

LLM personalization is becoming increasingly accessible, with little critical inquiry into the extent to which these models are actually capable of representing personal identity. We present two methods for training LLMs on a personal corpus using open-access tools and evaluate the usefulness of such processes for encountering narrative identity.

This paper outlines the use of locative literature (a location-responsive narrative accessed via mobile app) to digitally represent materials from the Stuart Hall Archive. Hall’s work on media serves as conceptual inspiration for both the narrative and interface design. It invites users to navigate the archive through sites of significance.

We analyze associations between fictional characters and emotions in a corpus of fanfiction about Greek myth, using vector space models. We examine the similarity in the VSM between six basic emotions -- sadness, joy, anger, fear, surprise and disgust -- and popular characters, and compare patterns across character-genders and fanfiction-genres.

The emergence of AI coding tools poses urgent questions about the future of Python education. What happens when "hacking" becomes easy? Does the streamlining of technical processes diminish the intellectual labor of coding? In this panel, four seasoned Python instructors consider the evolving role of Python—and programming broadly—in DH.

The presentation focuses on the questions of feasibility, access and inclusivity in DH education fostered through the use of Indian vernacular lanaguages for classroom instructions, translation and creation of academic resources. It uses case study analysis and survey methods as its methodology.

This paper will discuss findings from "Crowdsourced Data: Accuracy, Accessibility, Authority", a project investigating the successes and challenges that US-based LAM organizations experience when making crowdsourced transcription content accessible to blind and low vision users.

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.

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 paper discusses the workflow and results of the European Literary Bibliography (ELB) initiative. The ELB is an ongoing international project aimed at processing, integrating, enriching, presenting, and visualizing multilingual bibliographical datasets to enhance the understanding and exploration of the European literary landscape.

Showcasing scalable solutions for under-resourced disciplines and addressing questions of accessibility and sustainability, we present the first Old Norse HTR model with ground truths in Open Access. By fine-tuning CATMuS-medieval on sparse data, we achieved notable accuracy improvements, demonstrating that today only a few pages are indeed enough.

We will discuss the formation of a diverse group of partners who collaborated to streamline a distributed digitization and description workflow for medieval manuscripts across the midwestern United States, and how, through these collaborations, we have uncovered/recovered collections of distinction that are already impacting new and emerging scholarship.

Collective Biographies of Women, a feminist prosopography and study of short biographies, explores not only the results of stand-aside XML annotation of Biographical Elements and Structure Schema applied to ~400 chapters in 1270 books but also experiments with AI versions triangulated with available Wikidata, VIAF and other linked data.

Leveraging comprehensive bibliometric analysis of OpenAlex (2000-2024) and Korea Citation Index (2002-2024) datasets, this pioneering digital humanities study maps the intellectual history of modern Korean literary studies. Through computational methods, we reveal the dynamic interplay between Korean literature and global literary discourse, illuminating patterns of cultural exchange and scholarly evolution.

The European Commission's 2021 guidance urged accelerated digitisation of cultural heritage but noted a digital skills gap among professionals. This study examines the digital divide in cultural heritage institutions on small Mediterranean islands, proposing Open Educational Resources (OERs) to address professionals’ needs. Quantitative and qualitative analyses inform actionable, tailored solutions.

In 2022 FSU's Research Computing Center established the Interdisciplinary Data Humanities Initiative (IDHI) to foster and support the use of advanced digital tools in the humanites, social sciences, and the arts. Here we will describe our curricular efforts and workshops specificaly covering the use of high-performance computing in our classrooms.

This paper explores digital education for pupils in a humanities teaching-learning lab. The aims of this article are (a) to present initial results on the participation of pupils in Digital Humanities projects by university students and (b) to reflect digital tools in humanities education programmes for pupils.

This project, developed by the University of Foggia and Istituto Dante Alighieri, aimed to enhance students' digital and communication skills through podcast creation. The initiative combined technical workshops with creative writing, fostering critical thinking, teamwork, and civic awareness. Results showed significant improvement in media literacy and active citizenship skills.

This research presents an AI-supported scaffolded learning platform for teaching Python to Digital Humanities master's students at the University of Bologna. The system combines LLM-generated exercises and personalized feedback, addressing the unique challenges humanities students face in learning programming.

“Fires of Industry: Environmental Inequalities in Mid-Century America” is a digital humanities project developing, mapping, and visualizing a new dataset of environmentally burdensome sites in American cities circa 1950. Juxtaposing this data with racial demographics and income, it explores historical environmental disparities and their ongoing impact on health inequalities.

This paper describes a digital/AI literacy toolkit developed as part of a collaboration between researchers and mask artists, basket weavers, and musicians in Burkina Faso. The toolkit covers four main themes - Awareness, Promotion, Innovation and Protection - to address diverse aspects of community-led digital data governance for cultural heritage.

Drawing on case studies and participant testimonies, we demonstrate how CSUF DEFCon has fostered a new paradigm for digital scholarship that prioritizes cultural preservation, community engagement, and social justice. The paper outlines future directions for grassroots digital ethnic studies and for communities of practice that amplify diverse cultural perspectives.

This presentation tackles the difficulties and inequities that prevent digital humanities from intersecting with fields like postcolonial literature. It follows three different attempts to launch projects that perform text mining on postcolonial literature and the main obstacles encountered in the first stage of obtaining or constructing a viable corpus.

This study examines negativity in early colonial Nigerian newspapers through comparative analysis of lexicon-based methods and LLMs. Results show LLMs better align with human evaluation, revealing negativity primarily manifests as anger and disgust, consistently coexisting with high anticipation—suggesting a more nuanced emotional landscape than previously recognized in historical scholarship.

The MAVEN project is an open-access tool designed to locate classical allusions in Enlightenment literature. This paper reports on two early steps: the generation of a dataset of 18th century French sentence-pairs rated by semantic similarity, and the performance of a sentence-transformer model trained on this dataset.

The purpose of this contribution is to present ALMA - Wissensnetze in der Mittelalterlichen Romania (Universität des Saarlandes), a new inter-institutional project that makes use of the tools offered by textual philology, lexicology, lexicography, linguistics, history, digital humanities, the semantic web and ontology engineering.

This study details the digitization of Larramendi's Trilingual Dictionary (1745) and prose text from the same author using open-source tools and public collaborative platforms like Wikidata and Wikisource. It highlights workflows for lexicographic annotation, integration with LOD, and other applications in historical linguistics, outlining future prospects for a digital edition.

This paper uses computational methods to explore the patterns of how key terms are detached from scholar’s names even as those names can come to stand for those ideas in both formal citation and more general reference across a corpus of English-language literary studies journals and monographs.

This short paper presentation covers current work-in-progress for development of the first-ever CLI and API that leverages language models to assist in philological research tasks for pre-modern texts. Specifically, this presentation focuses on how this software makes language models more accessible to classics scholars for real-world research tasks.

This paper introduces a machine learning approach to reassemble fragmented oracle bones, which are important materials for understanding early Chinese history. Specifically, we propose a model based on the Diffusion Model, a generative deep learning framework that has demonstrated remarkable performance in computer vision tasks in recent years.

Research in mathematics, computational sciences, and archaeological theory has addressed the uncertainty in archaeological data and its links to annotator expertise/confidence. This study uses real data and three annotators with varying expertise to evaluate concordance metrics for fuzzy annotations, applying computational linguistics and vector distance methods within fuzzy data models.

The paper introduces RDFProxy, a Python library designed for building REST
APIs on top of Knowledge Graphs using Pydantic models.

RDFProxy is currently being developed at the Austrian Center for Digital Humanities and Cultural Heritage and will serve as the backend solution for the Releven project at University of Vienna.

This study examines the authorship of the Armenian geographical treatise Ashkharhatsuyts using stylometric methods. Results attribute the text to Anania Shirakatsi, aligning with prior hypotheses, while excluding Movses Khorenatsi. Uncertainty in early passages suggests potential compilations. Findings also question the authorship of Eghishe's Commentary on Genesis.

This paper addresses the lack of a coherent framework for understanding bias in digital humanities. Using colonial archives as case studies, it examines biases in archives, digitization, and AI. It proposes reframing bias as an analytical category and introduces a framework to dissect its interconnected dimensions.

The paper will present the first mounting of a new digital philological method tackling the issues of managing too many variant readings

The purpose of this paper is to examine the identity of the author of an anonymous Rabbinic commentary using a new methodology utilizing new digital tools to scan vast amounts of text and analyze citation networks and stylistic patterns which are not revealed through routine human analysis.

Our project a contextual embedding model to a corpus of eighteenth-century British text in order to study the evolution of language that prefigures the emergence of modern disciplinarity. Our presentation shows that modern disciplines evolved far earlier and in very different ways than traditionally accounted for in current scholarship.

This study utilizes distant viewing and generative machine learning to explore heraldic images from 1450–1700 and reveal patterns in their circulation and adaptation. It designs tools for heraldic identification and interpretation, integrating image classification and ontology-based explanations. Results inform future research and a Citizen Science initiative engaging broader communities.

I argue that natural science discourse served as political rhetoric in mass produced British periodicals from 1826 to 1848. Digital methods reveal the incorporation of natural science discourse into popular periodicals in a network of reprinting, while close reading shows how natural science texts were recontextualized to produce political meanings.

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.