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.

This workshop is an introduction to using text mining tools such as I-Analyzer for qualitative research, on both a theoretical and practical level. Learn how to design effective lists of search terms, how to become aware of your context, and how to use datasets containing millions of documents!

This workshop promotes data literacy in humanities, highlighting data as resources based on human decision-making. 12 PhD students meet in a World Café to peer review their projects mutually, emphasizing research design and reproducibility. By changing perspectives in a role-play, participants will develop their skills in methodology and scientific communication.

This half-day hands-on tutorial introduces researchers with little or no familiarity with corpus linguistic tools – particularly noSketchEngine – to the upgraded version of the ParlaMint corpora enhanced with topic and sentiment coding under the Open Science ParlaCAP project, empowering research on individual national parliaments, transnational comparisons and cross-disciplinary collaboration.

This workshop will introduce several fundamental techniques for the computational analysis of early European printed books (15th-19th centuries). Techniques will include illustration detection; full-page segmentation; illustration matching and classification; OCR; and document understanding. Materials will include early printed editions of Dante; Spanish and Scottish chapbooks; and nineteenth-century books and periodicals.

This workshop, divided into two segments, will introduce people to Spyral Notebooks, a notebook programming extension to Voyant Tools. We will demonstrate how Spyral Notebooks let researchers and students annotate, modify, and save visualizations and analytical results from Voyant.

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.

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.

This workshop aims to foster an interdisciplinary community of practice and to develop common guidelines for the transcription and encoding of ancient Greek texts. It will adopt a participatory, use case-driven approach, focusing on addressing technical and methodological challenges.

This workshop explores AI-assisted workflows for facilitating knowledge discovery in historical research, focusing on transcription, data contextualization, and metadata augmentation. Tropy demo projects will serve as testbeds for applying HTR, OCR, and NLP techniques. The agenda includes discussions on AI’s opportunities, limitations, and ethical dilemmas.

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.

This half-day workshop introduces textual scholars and practitioners to the LEAF Commons of tools that are web-based and easy-to-use for text encoding, named entity recognition, web annotation, and publication without users having to learn complex coding languages. LEAF supports easy movement between these interoperable tools based on users’ needs.

This workshop introduces the GOLEM ontology and knowledge graph, designed for analyzing narratives and fictions. Interoperability and integration with existing standards have guided its development. Participants will learn how to apply narrative theory through this semantic model and how to query the graph to explore and analyze narrative data.

This workshop is for researchers and libraries, archives, and museums professionals who seek to increase access and discovery with audiovisual archives. This workshop introduces AVAnnotate (https://av-annotate.org/), an open source application and a workflow that helps increase discoverability by facilitating building digital exhibits and editions that include annotated audiovisual artifacts.

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.

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.

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.

The panel discussion addresses the need for a new data culture in history and beyond with the aims to understand the fundamental epistemological affordances of the post-digital moment; to develop the necessary quotidian practices and disciplinary protocols; and to negotiate new understandings of history as a discipline of societal relevance.

This short paper asks: what can be discovered about the poetess tradition of nineteenth-century Britain–a mode of writing initially lost to literary history and recovered by feminist literary scholars–when using topic modelling to conduct a distant reading of primary, critical, and bio-critical materials?

Picture book covers carry abundant visual information about the story. They also indicate gender information through titles and illustrations, which might further impact preschool children’s gender perception. This paper will investigate how ChatGPT infer gender on covers of 6,629 preschool children’s books from the 2012-2022 National Library of China catalogue.

This presentation will introduce the work conducted by “The Adaptive Text Encoding Initiative Network,” an interdisciplinary research group of PhD students, faculty, and DH librarians in Canada. We will report on our progress as a team and provide insights into our proposed antiracist, decolonial, and inclusive TEI guidelines.

This study examines gendered communication in German-speaking Twitch gaming chats using BERTopic and qualitative analysis. Male streamers’ chats focus on gaming, while female streamers evoke social and emotional messages. No evidence of objectification was found, highlighting shifts in behavior or effective moderation. Findings underscore gender’s role in shaping digital interactions.

This talk explores how documentation can serve as a powerful tool for positive change by making our research and datasets more transparent. Detailed documentation not only facilitates the effective and responsible reuse of datasets and algorithms but also promotes more inclusive scholarship and ethical research outcomes.

Esta apresentação se concentrará no trabalho realizado durante o projeto de colaboração Text+ "Pessoa Digital", discutindo a importância das mudanças implementadas para garantir a sustentabilidade e modernizar a infraestrutura digital da edição acadêmica digital “Fernando Pessoa. Projects and Publications” e como elas se encaixam na infraestrutura do consórcio Text+.

Se analiza a las Bibliotecas Públicas de Bogotá como plataformas de co-creación de narrativas digitales de historia pública entre 2018 y 2021. A través del análisis de Los bogotanos del Bogotazo y Marca de agua se destaca cómo la mediación digital desafía narrativas oficiales y democratiza el conocimiento histórico.

Este artigo apresenta uma revisão crítica da literatura dos princípios éticos no universo da Inteligência Artificial (IA), investigando a sua conexão com as Humanidades Digitais (HD). Tem como objetivo refletir sobre o campo epistémico e identificar os desafios, práticas e recomendações, através de uma abordagem qualitativa.

Small-to-medium galleries face significant challenges in preserving and sharing their contributions, relying on spreadsheets or paper records.This issue is exacerbated by proprietary data platforms, which reduce data sovereignty. This paper presents a low-tech solution developed to normalize, preserve, and share gallery data, emphasizing sustainability, inclusivity, and resistance to digital monopolies.

With the project ‘Collation of Multilingual Text’ (COMUTE), we tackle the problem of aligning multilingual versions of text that are not literal translations, but which have undergone a major revision process including extensive additions, deletions and rephrasings. Our approach based on a hierarchical alignment solves issues of current state-of-the-art methods.

Der Beitrag widmet sich der digitalen Modellierung von Dekanonisierungsprozessen serieller Frauenliteratur im 19. Jahrhundert und ihrer theoretischen Reflexion. Hierzu untersuchen wir Relationen zwischen Texten in Frauenzeitungen und historischen Kontexten. In multivariaten NLP-basierten Analysen werden Grade der vielfältigen Einflussfaktoren gemessen und Bedingungen der Evolution serieller Literatur in deutschsprachigen Frauenzeitschriften miteinander verglichen.

Glossaries appended to monographic treatments of historical mathematical Chinese texts are one of the most important references available for technical terms in that type of language. In this study, digital methods are used to explore such glossaries, with an focus on understanding what phenomena from the original texts are included.

I will discuss the challenges of handling living resources and relate them to already existing strategies and their vulnerabilities. I will present an approach for managing living resources by considering the responsibilities of different stakeholders – researchers, funding institutions and data centers/libraries – and argue for their orchestration.

We describes workflows, complexities and challenges in a digital pilot project on the Archive of German Speaking Jews in Israel, concentrating specifically on two complementing classification workflows: image classification of the digitized scans as a preliminary step for document analysis, and LLM assisted parsing and classification of folder level catalog entries.

In this long paper a visual interface, the "ReFa Reader", which combines narrations and the exploration of semantic graph structures is presented. After a brief introduction of the functionalities of the Reader, three workflows on how to reuse this Open Source Prototype by any project with semantic data are elaborated.

On a dataset containing correspondences from the literary period of Early Romanticism, this submission aims to uncover gaps and biases in the data, investigate their impact, and mitigate their effect. For this purpose, it develops a mixed methods-approach including the use of knowledge graphs, data visualisation, and historical network research.

The Linked Infrastructure for Networked Cultural Scholarship (LINCS) mobilizes Canadian scholarship through making, disseminating, and promoting the use of linked open data (LOD). This paper will reflect on the user-experience (UX) work done at LINCS, focussing on the roles of context and agency in supporting serendipity in a linked-data environment.

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 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.

The AIAI Data Collective applies Critical AI frameworks to latent questions of AI data storage. We are developing a digital tool that guides users through a decision-making process for ethical AI data management, resulting in recommended practices that address critical and ethical concerns such as labor, privacy, and bias.

This research proposal explores the intersection of Critical Digital Humanities and Generative AI, aiming to enhance critical thinking in education. Through a mixed-methods approach, it will develop practical guidelines for educators, addressing challenges such as bias and transparency while fostering thoughtful engagement with AI technologies.

This paper, though examining discourses on access to digital archives (particularly community digital archives) and discussion on building care in access from the Stories on Contested Histories International Programme 2024, argues that studying challenges of access to digital archives and collections can help in conceptualising frameworks for inclusive access.

The paper invokes three narratives of disruptive digital projects that make comics accessible through AltNarrative, a multilingual digital repository, or the inception of a lab to create a born-digital and an inclusive comic of the future. The issue of web or digital accessibility is evaluating with respect to WCAG2.2 compliance.

This paper presents a framework for integrating LLMs into critical research work flows, addressing legal, ethical, and methodological challenges. Drawing on projects analyzing historical newspapers and court records, it emphasizes aligning LLM use with established hermeneutical practices to navigate automation responsibly and set standards for DH research and beyond.

The project marks the second phase of digitizing Tolstoy’s legacy, expanding beyond the 90-volume collection. It focuses on seven sources, each reflecting the writer’s life and works, connected by common temporal points. We discuss the preparation, markup, and presentation of over 32,000 documents through an interactive interface.

The project Auden in Austria Digital explores novel methods of formalizing interpretation in scholarly digital editions by embedding RDFa within TEI/XML. By transforming editorial argumentation into machine-readable data, the project seeks to make interpretation, interpretational responsibility, and scholarly uncertainty accessible to computational processing.

This project reevaluates the historiographical practices of Dai Nihon Shiryo, focusing on the functional representation of Bouchū (marginal notes) and Warichū (interlinear annotations) using TEI. By addressing their embedded temporal semantics and editorial distinctions, this study uncovers implicit historical perspectives and contributes to advancing TEI applications in digital scholarly editing.

This paper presents the open-access semantic edition-archive of Cesare Pavese’s literary and documentary heritage, developed within the PAVES-e project. It employs the CHROMA model, incorporating XML-TEI encoding, ontology-driven semantic organization, and interactive visualization tools to facilitate enhanced accessibility and semantic and lexicographic analysis of Pavese’s works.

This paper focuses on the modeling of the digital critical edition of a collection of Aesopic fables entitled Isopet 1-Avionnet, dating from the late 13th and early 14th centuries. It will notably involve translating, into the XML/TEI encoding of this collection, the textual, rhetorical, narrative and intertextual structures of this text.

We present a method for inferring semantic social networks from textual data by analyzing terminological similarities using topic modeling. Applied to a corpus of 3,698 scientific articles in astrobiology, this approach identifies "hidden communities of interest" (HCoIs)—groups with shared semantic content—and enables diachronic analysis of community evolution.

This study employs Network Theory to investigates the similarities and differences in co-occurrences within Ancient Greek and Latin texts from pre-Christianity and during the early Christian period. The case study focusses on mentions surrounding mentions of Plato in these texts.

This paper examines debates on a German anti-hate speech law called Netzwerkdurchsetzungsgesetz (NetzDG) on Twitter/X. By applying network analysis, NLP methods, and close reading, it investigates content published by the most retweeted accounts mentioning the law, considering their potentially high influence in shaping the discussion on the platform.

This work discusses ongoing tests and development of an R Shiny Web Application to visualize a dataset of National Health Service, Centers for Disease Control and Prevention, and World Health Organization Tweets during 2020. Interactive visualizations display different text analytics using tidytext and quanteda.

Gephi Lite, a web based and lighter version of Gephi, aims at pursuing Gephi original ambition: democratizing network visualisation edition through visual means. In this paper we present what the web does to network visualisation edition while presenting Gephi Lite main features.

The presentation showcases first results of a project aimed at representing the editorial transformations of the Children's and Household Tales of the Grimm brothers and demonstrates the variety of changes on several selected fairy tales. It further proposes a first insight into a scalable framework to visualize the editorial changes.

In 2024 I coauthored a forthcoming book, The Routledge Guide to Digital Humanities and Canadian Literature. This book presented a number of insights and challegns relevant to anyone attempting to write about the history and practice digital huamnities for a non-specialist audience. In this paper I will present lessons learned.

This presentation employs computational stylistics to analyze Yi Sang and Yŏm Sang-sŏp's works from Korea's colonial period. Using a custom sensory classification model, it quantifies stylistic and aesthetic differences with a focus on the body, revealing broader affective politics through characters' physical and psychological responses, extending beyond conventional emotion analysis.

This paper examined the relationship between the social situation of war and war writings in the British Romantic period by reviewing the topic modeling results and examining the visualized changes in war topics in books published between 1740 and 1840.

Presentación de la etapa inicial del proyecto de investigación Trad-Divers, consistente en la construcción de un dataset, en acceso abierto, modelando datos de 8 programas de ayuda a la traducción editorial en Iberoamérica (2001-2022), con el objetivo de incidir en la discusión y diseño de este tipo de políticas culturales.

This research uses Omeka S to construct and analyze a parallel corpus of 19th-early 20th century Japanese and Ryukyuan Bible translations. Using TEI encoding, stylometric analysis, and LOD principles, it reveals translation networks and linguistic patterns among Protestant, Orthodox, Catholic, and regional language translations, preserving linguistic heritage through digital methods.

We proposes a new method for extracting text in speech bubbles, onomatopoeia, and annotations from manga by identifying differential regions in multiple language versions. A preliminary experiment demonstrates the effectiveness of our method, achieving high accuracy in extracting speech bubbles and other areas.

This project develops a context-sensitive parser for Syriac using an encoder-only transformer model within ETCBC’s Qoroyo platform, addressing Semitic text challenges. It benchmarks LLMs for ancient languages, aiming for high accuracy and a quantifiable morphological analysis evaluation like GLUE or BLEU.

The study aims to test whether the well known stylometric methods are able to distinguish machine and human literary translation. The analysed corpus consists of novels translated into English, French and Polish to test whether the inflectionality of language plays a role in the quality of translation.

Previous work showed major differences in social networks of main characters and their relations of translations of a narrative. Here, we investigate reasons why this is the case. Quality of named entity recognition has the largest impact, while differences in language preferences do not have a major impact.

This submission will focus on a recent locative narrative in the context of contemporary Greek literary production (2021-2022)- Ismini Gatos' america² -and will reveal that space, time and body, in physical or digital terms can recontextualize the relationship of any user with the local environment and also with themselves.

This study constructs a digital narrative model for Chinese historical classics, supporting nonlinear, interactive storytelling and deep knowledge exploration through multidimensional narrative pathways.

This study explores the role of intertextuality in manuscript transmission using a Yule process model, extending previous birth-death approaches. Analysis of three major sets of medieval texts suggests that including speciation events better represents the heavy-tailed distribution of surviving witnesses per text.

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.

Presents the pedagogical tool keylog.js, a minimal javascript-based tool that provides privacy-focused, client-side keylogging software served through a static website to address questions about the ethics, privacy, and accessibility of technologies and algorithms.

This contribution investigates the application of Handwritten Text Recognition (HTR) to the automated transcription of a multilingual historical manuscript.

This poster aims to present DoTS, a comprehensive and functional suite of tools for publishing corpora in compliance with the DTS specification, integrating backend, API responses, and frontend for the creation of adaptable websites.

This poster investigates how digital humanities (DH) scholars world-wide implement user experience (UX) practices in their projects. Through a survey, the authors will explore the integration of UX methodologies, identify barriers to adoption, and aim to promote more accessible, user-centered digital tools, ultimately broadening DH’s reach and engagement.

This research examines a corpus of contemporary migration novels to explore trauma. Using a mixed methodology, it investigates how these narratives depict human and non-human migrations, challenging anthropocentric environmental discourse while revealing the cultural imagination of climate change through recurring motifs, emotional arcs, and anticipatory memory.

The poster presents five strategies to produce more communal experiences in cultural-heritage software, exemplified using the Cultural Heritage Framework. The strategies are developed against the background of experts or 'rugged consumers' being the de-facto target audience of many editions, dictionaries, repositories and similar offerings.

We present Humanitext Antiqua, a system employing Retrieval-Augmented Generation (RAG) and advanced large language models (LLMs) to generate scholarly interpretations of classical texts. Using Plato’s Republic as a case study, the system integrates primary texts, commentaries, and secondary literature, addressing challenges in traditional referencing and text segmentation for enhanced academic research.

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.

This study proposes a comparison between three most popular chatbots: ChatGPT, Claude AI and Google Bard. Racial, ethnic and gender stereotypes were researched in the generated short stories. The stylo package for R and its function oppose() as well as the method of topic modelling were used in the study.

I have created a network that I have used to track influence, cashflow, and cruelty across 8 carceral institutions over approximately 50 years. In doing so, I can prove that there was an intricately weaved web of custodial cruelty among "fallen" girls and women in 19th Century Indiana.

Space, places, and spatial objects have been of interest for literary historical research for a long time. We take up this state of research by analyzing natural and artificial spaces, places, and spatial objects in nineteenth-century novels from Spain and Latin America.

This paper introduces a large-scale DH research project in Japan that the National Institute of Japanese Literature is undertaking over the next ten years. The aim of this project is to construct big data on Japanese pre-modern texts and to promote data-driven humanities.

This poster examines GitHub as a pedagogical platform in DH, analyzing its role in fostering coding literacy. By identifying pedagogical activities and practices, we explore how GitHub data can address gaps in training and inform the development of inclusive and effective programming pedagogies for the field.

The SSH Open Marketplace is a discovery portal which pools and contextualises resources for Social Sciences and Humanities research communities: tools, services, training materials, datasets, publications and workflows. This poster presents how this service can provide insights into the use of tools, methods and standards in the DH research communities.

The DALIA project aims to make open educational resources (OER) on data literacy accessible and interoperable. A knowledge graph is developed to link the materials, using the DALIA Interchange Format (DIF) to ensure transparency and interoperability. This poster focuses on picklists for DIF and invites feedback from the professional community.

This study analyzes OpenEdition’s server logs to uncover user navigation patterns across its platforms. Using methods like transition analysis, clustering, and topological modeling, it reveals platform fidelity, distinct user profiles, and shared interests. Future work aims to expand the scope with action-based analysis for deeper insights.

This poster presents the p2AFA corpus, a digital resource of Festival d’Avignon programs and playbills (1947–2024) for studying performing arts collaborations. Combining OCR, machine learning, and diplomatic transcription, it enables network visualization and historiographical analysis.

In this poster we will present the INTHEDATA project, in particular, the current state of knowledge and best practice in the area of cultural heritage and semantic knowledge model, the objectives of the project, its methodology by implementing the CIDOC-CRM standard and the first results.

We present our work on the development of machine learning classifiers trained to assess whether a given input image aligns with a specific beauty ideal. The work is part of our effort toward enabling large-scale computational research on beauty ideals, a subject that is both culturally significant and socially impactful.

This project aims to recover the cityscape of lost Muslim heritage in Belgrade by superimposing 200 destroyed mosques onto the modern cityscape at their original locations, using 3D-models in augmented reality, with textures based on the restored appearances of the mosques derived from old photographs, documents and sketches from travelogues.

This study aims to establish an effective information-provision method for humanities research, and as part of this effort, we developed an information retrieval system utilizing recently prominent technologies, LLM (Large Language Models) and RAG (Retrieval-Augmented Generation). This paper describes the developed system and its performance evaluation.

This poster highlights how Stadt.Geschichte.Basel created an Open Research Data Platform using CollectionBuilder. By applying minimal computing principles, the platform addresses challenges of accessibility, sustainability, and inclusivity in digital history. It provides adaptable, FAIR solutions that enhance interdisciplinary research, support marginalized perspectives, and foster long-term usability of historical data.

CLARIAH-ES is a Spanish national research infrastructure that strengthens research and facilitates innovative approaches within the digital humanities. By integrating language technologies, text analysis, cultural heritage, and multilingual resources, CLARIAH-ES offers a unique ecosystem for scholars interested in exploring the Spanish, Catalan, Galician, and Basque languages and cultures.

Google including Romani in their MT engine raises ethical concerns regarding linguistic preservation and cultural respect. Lack of transparency, poor translation quality, possible negative implications for language speakers are among the issues. It appears that the BigTech companies prioritize quality over quantity when it comes to support of lower-resource languages.

How can we sustainably build digital scholarship infrastructures that best serve their communities, encouraging co-ownership and input into their development? This poster examines the cooperative business model underpinning READ-COOP (https://readcoop.eu) and Transkribus (https://transkribus.org), an Automated Text Recognition platform, providing a blue-print for the establishment of responsible, democratic, cooperative digital infrastructures.

The ATRIUM project enhances access to digital research infrastructures in Arts, Humanities, and Social Sciences by improving services and creating a tailored curriculum for the research community. The poster showcases how, through a survey and workshops, ATRIUM integrates community feedback to bridge skills gaps and deliver impactful open training resources.

Scholarly Editing is an open-access, peer-reviewed journal that welcomes contributions that feature rare or marginal texts and small-scale editions for the discoverability of underrepresented stories and artifacts. This poster will introduce the journal’s purpose and present the journal’s strategies to ensure the longevity of its digital content.

O multilinguismo deveria afirmar-se nas Humanidades Digitais (HD). O objetivo deste trabalho é analisar se a produção científica em HD na Web of Science Core Collection o reflete. É um estudo bibliométrico com um corte transversal retrospetivo (2020-2024). Conclui-se que o inglês predomina, mas existe espaço para outros idiomas.

This project builds a web-based literary tour platform called ‘Memory of 518’, integrating literary works, factual records, and user-generated data related to the Gwangju May 18 Democratic Uprising. Using maps, 360-degree images, and user contributions, it documents and visualizes the fictional, historical, and everyday aspects of 518 Gwangju.

The proposed poster introduces a workflow for data extraction from historical maps into a structured format by manually digitising scanned maps with the OpenSource GIS software QGIS. We present our work in progress on a set of maps from our research in the UrbanMetaMapping project.

Digtal Humanities scholars need NLP tools to create new corpora of low-resourced languages, but such tools need to be trained on “non-existent” corpora creating a classic boot-strapping problem. We use the text from the Universal Declaration of Human Rights, along with a lexicon-based interative search strategy, to overcome this problem.

This study explores the visual representation of Africa in Chinese media (1950s-1980s), creating a digital archive and applying AI tools, including large language models and Contrastive Language-Image Pre-training (CLIP), for bidirectional text-image retrieval, offering fresh insights into Sino-African relations and cross-cultural visual studies.

NINDA (NINJAL Digital Archive) adapts Omeka S to manage linguistic resources, particularly for Japonic languages. It implements IIIF for multimedia content and OntoLex Lemon for lexical data structuring, supporting FAIR principles. The system handles annotated recordings, interlinear texts, and lexical databases, making linguistic resources more accessible to researchers and communities.

Textual scholarship aims to reconstruct and publish texts through critical apparatuses. The DSL-based Digital Scholarly Editions (DSE) method merges traditional editing with computational techniques, enhancing workflows and adhering to open science principles. The GreekSchools project exemplifies this approach, and the CoPhiEditor implements it as a software solution.

This poster will present a tool currently being developed for doing image vectorization of medieval script, called “Quil2Vec”. This tool to intended to expedite the production of image vectors as ground truth for multiple different text-based machine learning research applications.

The SCIROS project aims to enhance Open Science in the humanities and social sciences by tackling theoretical, practical, and infrastructural challenges with 6 international partners. By fostering interdisciplinary collaboration and sharing insights via the blog, the project supports the widespread adoption of OS practices.

This poster aims to present our ongoing work on developing the evaluation framework for open peer review assessment of non-traditional research outputs as a contribution toward maximising the quality and impact of Arts and Humanities research in Europe in the context of the Coalition for Advancing Research Assessment (CoARA).

After digital repatriation, cultural institutions often still remain digital replicas. This study compares metadata records of ancient Chinese paintings across various museums, revealing that interpretations in cross-cultural contexts are influenced by cultural backgrounds, and finally suggests improving original communities' control over digital replicas in legal, ethical, and technical aspects.

Die Sammlung und Bewahrung von marginalisierten Kulturgütern wie Privatbriefen unterliegen bisher keiner einheitlichen Archivierung und Standards. Das Dissertationsprojekt adressiert die Frage, wie die nachhaltige und dauerhafte Erschließung nach internationalen Standards im Spannungsfeld der FAIR-, CARE- und Open-Prinzipien gelingen und die maschinenlesbare und interoperable Digitalisierung des Kulturguts ermöglicht werden kann.

Our poster will present the partnership development grant “HumAInities: Exploring the Impact of AI on Humanities disciplines”, its goals and expected results. Our project seeks to understand the changes brought about by the impact of AI on the production and dissemination of knowledge within the humanities.

This study develops a Vedic Sanskrit OCR model to bridge the gap between text and image platforms.We fine-tunes TrOCR on Vedic, aligning images with texts using eScriptorium as a tool for creating groundtruth, suggesting a cyclic process to create text and image correspondences and to impove the performance of OCR.

This poster proposes a multimodal approach to historical research, utilizing HTR, NLP pipelines, and GIS in a user-friendly manner. By integrating advanced computational methods with traditional humanities research, we aim to create a model that can be replicated for other underrepresented regions and languages.

This poster explores the challenges and opportunities of digitizing late-antique literature, focusing on the Babylonian Talmud. By creating a comprehensive database of Talmudic stories, it aims to expand computational literary studies. The poster will discuss the methodological challenges involved in building this database, including text extraction, annotation, and modeling.

This study examines divergent language use in Russian state-controlled media and social media during the Russo-Ukrainian war using the WarMM-2022 corpus and Kullback-Leibler Divergence (KLD). KLD offers interpretability advantages over more opaque machine learning techniques allowing a deeper understanding of how propaganda techniques are linguistically construed and evolve over time.

A proposta visa desenvolver um modelo de gestão de acervos científicos alinhado com as diretrizes internacionais de Acesso Aberto (AA), especialmente considerando o Plano S e as transformações no sistema de comunicação científica.

This poster highlights three open source software packages I created in the programming language Rust. The packages include lemmatizing, readability, and stylometry algorithms, and were intentionally designed to create new resources to facilitate analysis of and engagement with multilingual and non-English languages in the Rust ecosystem.

Doing Literature is a web portal designed to collect and curate research contributions of the humanities in multimedia formats. It aims to develop an innovative framework that engages diverse audiences, thereby enhancing Digital Public Humanities and emphasising their collaborative character as well as their potential in knowledge creation.

This poster presents a user interface developed within the OntoVE project. The poster focuses on the search interface, built with the Sampo Model (Ikkala et al. 2022), and its search perspectives, which allow users to explore data through the faceted search paradigm (Tunkelang 2009).

This proposition showcases a Python library designed to interface with the text editor Obsidian to create a literary database of a corpus. We use Philip K. Dick's science-fiction as the exemplatory corpus, and showcase how classical Natural Language Processing can be used in computer-assisted literary hermeneutics.

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 panel of rhetoric, history, and Hispanic studies scholars aims to invigorate data advocacy research and education in the digital humanities by presenting and discussing the challenges and rewards of their work with three data-driven public humanities projects--a digital hate-tracking project, an online educational toolkit, and an online data repository.

This study utilizes phonotextual and cartographical perspectives to analyze Guangzhou Bamboo Branch Poetry, exploring emotional expressions and cultural landscapes. By examining textual features and Cantonese phonetics, we reveal the interplay of history, landscape, and local customs, highlighting the genre's significance in documenting urban life and cultural evolution.

This study explores scene change detection in 20th-century US-American romance fiction using manual annotations and automated methods. Manually annotated novels build the training data for fine-tuning an English BERT USE model, yielding promising preliminary results for automated text segmentation in computational literary studies.

This paper explores ways of representing the complex ways that landscapes can be described and how this changes over time drawing on the concepts of ‘picturesque’ and ‘wild’ in the English Lake District. It evaluates a range of approaches to landscape description and perceived nearness and how these changed over time.

Using Transformer-based models, this study contributes to an inclusive approach to understanding history, examining how males and females were depicted differently in medieval Chinese epitaph verses and which classical texts these verses resemble. The findings highlight a discourse shaped by patriarchal privileges, echoing the assertion that "the subaltern cannot speak."

This paper uses computational methods to analyse how Lady Augusta Gregory's translations of traditional Irish legends reimagined the original works for the purposes of aligning them with cultural nationalism and the Irish Literary Revivalist perspectives.

This paper examines references to Greco-Roman authors across disciplines in a corpus of 56,116 academic articles. Using digital methods, it identifies citation patterns, compares rankings with L’Année Philologique (bibliographic database of classical studies), and explores disciplinary differences.

Connecting Threads explores connections between South Indian weavers and Caribbean consumers by linking small and large textile collections and archives to enhance access to global fashion histories. Featuring a PostgreSQL database and interactive visualizations, the paper details its technical development, collaborative methodology, and impact on equity and accessibility in DH.

The paper presents a two-pronged approach for fostering access to and use of digital archival holdings. This approach combines public use of HTR technologies and public involvement in producing interpretative digital scholarship. The framework presented seeks to encourage civic engagement and dialogue around the holdings.

We introduce novel datasets and fine-tuned VLM and LLM models for OCR and word-sense disambiguation for Jawi (a writing system used historically for Malay). Our OCR system that outperforms previous solutions with a Character Error Rate (CER) of 8.66%, and a context-aware word sense disambiguation model that achieves 99.2% accuracy.

Most Nazi persecution memorials use physical maquettes for informing the historical site’s spatial organisation to visitors. In this paper we present the Future Memory Maquette Explorer from MEMORISE exhibition at Bergen-Belsen Memorial. It uses Augmented Reality technology to allow users to explore prisoner artworks, conveying the human dimension of history.

We aim to theorize the medieval manuscript page and its contents more holistically, using state of the art techniques to segment and describe the entire manuscript folio, for the purpose of creating richer training data for computer vision techniques, namely instance segmentation, and multimodal models for medieval-specific visual content.

Our project reimagines medieval sortes texts through virtual reality, combining textual scholarship with performative modeling. By situating these divinatory texts in immersive settings—monastic libraries, astrologers' laboratories, and taverns—we simulate their ritualistic and interactive nature. This approach bridges philology, media studies, and media archaeology, offering new insights into multimodal historical textuality.

Thanks to its microservices architecture, the eNDP application is designed as an access point to all the medieval resources available on Notre-Dame de Paris. We aim to present a method for valorizing and editorializing resources scattered across different research data repositories repositories, which takes advantage of their open APIs.

This paper reports on the outcomes of experimental work by the team involved with the Time Layered Cultural map (TLCMap) project funded by two Australian Research Council Linkage Infrastructure, Equipment and Facilities grants. It underlines the potential for digital mapping and digital humanities methodologies in historical and cultural heritage research.

The aim of the paper is to present the project “Ethnobotany of the Tambov region according to historical sources”. This is an ethnolinguistic and ethnobotanical study of the Tambov region traditional culture on the material of the lexical-semantic field “Plants”, with the use of the PhytoLex database.

This paper presents a framework for AI-driven heritage research at Silahtarağa Archive, a repository of historical documents and maps related to Istanbul's urban development. The authors outline their approach to digitization, data preparation, and AI methodology, enabling researchers to analyze and explore the evolution of Istanbul's urban landscape.

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.

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.

This contribution proposes a multifaceted evaluation framework for assessing the performance of Large Language Models (LLMs) in encoding historical letters according to the TEI Guidelines, using the Joseph von Hammer-Purgstall correspondence edition as a case study.

We investigate the extent to which LLMs are able to learn a redefinition of a concept from literary studies, focalization, and apply it adequately to text examples. It shows that, with one exception, there are no statistically significant differences between the LLM output for prompts with and without the redefinition.

Aiming to study cross-cultural narrative patterns, this research develops a computational framework for extracting character features from English and Chinese fanfiction. By evaluating traditional Bert-based models and LLMs on tasks including character recognition, coreference resolution, dialogue and trait extraction, it provides insights into NLP tools' performance in characterization analysis.

We developed a system to automatically assign word sense tags to all content words in a substantial historical Japanese corpus, comprising over 20 million words. Our approach leverages a system based on Bidirectional Encoder Representations from Transformers (BERT), achieving an accuracy of 88.57%.

In this work, we propose a framework for extracting, annotating, attributing and visualizing dialogue characters in classic Chinese novels. We leverage interactive workflows to incorporate expert’s knowledge in the dialogue character extraction and attribution process.

This paper focuses on improving art-historical image search engines by combining Vision-language Models (VLMs) with knowledge graphs. The approach intends to enhance the interpretability and accuracy of search results by using triplets extracted from domain-specific knowledge with generative models. Providing this information to the user thus also increases the transparency of AI methods.

Cette communication présente une interface de recherche pour étudier la réception de l'art public au Québec avec les données générées par les utilisateur·rice·s de l'application MONA. L’outil développé optimise l'exploration et l’analyse des expériences artistiques recueillies pour contribuer de nouvelles perspectives sur l'interaction citoyenne avec l'art public.

In this study, we leverage two open datasets, respectively representing a dictionary of art symbols and scholars’ interpretations of ca. 400 artworks, to analyse how symbols and meanings vary in the art history hermeneutic discourse. Results show that the majority of scholar’s interpretations that could be aligned use conventional symbolism.

Our contribution examines methods for capturing spatial information from historical thematic maps depicting level of destruction during the second world war, focusing on the German city of Nuremberg (Nürnberg). We demonstrate three ways of capturing information from historical thematic maps, ranging from manual to semi-automated methods.

Using freely available data, this presentation tries to characterise the romance genre in the first half of the 20^th century and to map the part women screenwriters played in its evolution.

This study analyzed reception of ecological discourse in 20^th century US novel through computational criticism. We discovered a lexical family resemblance defined as “Pan-ecologicalness”, and implemented ecological discourse as a held-out example of genre changes throughout 20^th century.

This study presents an approach focused on natural habitats, plants and animals in German-language literature. To find out more about the aesthetic design, representation and distribution of ‘ecological codes’ we develop a classifier for animals, plants, and habitats in literary texts and apply it to 682 texts.

In a multilingual database of literary works, users will want to find a story's various versions. Therefore, we must conceptualize the threshold between narrative content (story) and its expression in language. While specially designed for evolving narrative traditions, our solution is grounded in the Functional Requirements for Bibliographic Records model.

To facilitate the description of versions and the creation of a version history, this contribution proposes a version assist system for digital editions. This system returns automatically generated change descriptions of changed resources that are comprehensible because each change is described as a purposeful, rule-based and contextualised action.

This proposal discusses the evaluation and editing of digital academic objects in digital humanities, emphasizing their epistemological value. It proposes a model based on Bhaskar’s publishing theory, focusing on academic rigor and technical precision. The goal is to enhance DH’s recognition and create a more accessible academic publications.