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.

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.

Wie verändern digitale Ausstellungen unsere Wahrnehmung und Interaktion mit kulturellem Erbe? Das Forschungsprojekt an der TU Chemnitz untersucht diese Frage durch eine innovative Kombination aus Korpusanalyse, multimodaler Annotationsmethodik und experimentellen Studien. Ziel ist es, empirische Erkenntnisse zu Design und Nutzererfahrung zu gewinnen und praxisnahe Handlungsempfehlungen für die Kulturvermittlung zu entwickeln.

UniTermGPT explores ChatGPT’s handling of German higher education terminology across Austrian, German and South Tyrolean varieties. By compiling a specialized corpus, applying prompt engineering and evaluating translations, it addresses language-variety-specific terminology challenges in LLMs. The project highlights the societal relevance of terminology, offering open research data and practical recommendations.

The increasing use of data-driven research in the field of digital humanities has emphasized the fundamental importance of research data management (RDM) and data stewardship skills. This contribution highlights the importance of education in these areas to advance open research data, uphold the FAIR principles, and promote sound scientific practices.

The project explores museum didactics with a focus on visual education, using photography and innovative technologies in order to promote experiential and inclusive learning beyond the classroom that integrates the relationships between schools, museums and the territory.

This poster describes ongoing collaborative digital research on the Bulletin of the Center for Children’s Books, a children’s literature review journal founded in 1947 that provides a vital record of the history of children’s book publishing and professional children’s book reviewing during the 20th and 21st centuries.

“Putting WKZO on the Map” uses mapping and encoding to solve problems facing audiovisual collections. Recognizing that local radio exists in a local landscape, this project maps a radio program through locating companies featured and encoding transcripts to identify the names of people and places mentioned.

This study proposes a Dual-Track Activation Model of Documentary Heritage based on LLMs. The model addresses the challenges of utilizing specialized, multimodal heritage resources. It is validated through the development of a knowledge base platform for the Suzhou Silk Archives as a case study.

Small grants play a crucial role in driving innovation and inclusivity in Digital Humanities by supporting interdisciplinary research, data analysis, and Open Science. With fewer bureaucratic barriers, they enable early-career and independent researchers to experiment, collaborate, and create open-access resources, fostering rapid methodological advancements and broadening academic participation.

This poster describes how the COMMONS project, involving three French research infrastructures, aims to address the needs related to the creation and use of links between data and publications: from technical requirements to creation of complex publications (ie. data papers, data displayed in an article etc.)

Handwritten codices have been systematically cataloged for centuries. Today, hundreds of thousands of catalog entries can be accessed digitally. As a proof of concept, I scrutinized the current possibilities in accessing, harvesting, curating, and processing this domain of knowledge to create a visual tool for further analysis and heuristic research.

The Grounded AI Map visualizes AI’s involvement in science through an “irreductionist” lens. It supports exploratory hermeneutics through computational annotation and physicalization, engaging audiences interactively while preserving data ambiguity, polyvalence and contradiction.

This study explores how citizen science can contribute to enhancing the readability of hidden historical text on book bindings or palimpsests,

This poster discusses the challenges of curating, preserving, and ensuring access to internet content, specifically within the context of Polish digital culture. By examining the ongoing iPBL project, the research highlights the complexities involved in selecting, archiving, and sharing ephemeral online resources.

O estudo pretende apresentar resultados preliminares de uma scoping review sobre a adoção de práticas de Investigação Aberta nas Humanidades Digitais.

Text reuse has been used to trace the flow and diffusion of policy ideas in legislatures through bill-to-bill and model-legislation-to-bill comparisons. This study investigates how ideas and rhetorical strategies refined in private communications between anti-trans political actors have influenced bills proposed in the United States between 2019-2024.

My PhD project is focused on creating a computational model to predict the auction prices of manuscripts and early books. This abstract summarizes my current progress with the challenge of extracting large amounts of data from auction catalogue texts, and testing the performance of GPT4 as an annotation assistant.

Amid widespread decline, tracking the UK local media sector is challenging due to outdated directories and rapid changes. To address this, we developed a semi-automated system using OSINT to monitor closures, launches, and ownership changes. This model enhances accuracy, reduces labor, and informs policy on media pluralism and sustainability.

The use of digital methods and tools is an integral part of humanities research. Smaller humanities disciplines run the risk of not keeping pace with the digital transformation. Using the example of Byzantine Studies, we want to discuss how small disciplines can be strengthened in the face of digital change.

This poster familiarizes digital humanists with:

1. what zines are

2. what zines can make possible for the digital humanities

The Zine Bakery project is a portal into zines as a welcoming, inexpensive, effective format for do-it-yourself DH scholarly communication and public outreach; friendly digital method teaching; and zine-inspired DH research explorations.

Based on sociological survey data on the cultural participation of German citizens, this poster outlines an early-stage PhD project aiming to develop data-driven profiles of cultural participation behavior to characterize readers and non-readers by their leisure activities. Factor analysis and cluster analysis serve as methods to establish the profiles.

This poster presents a RAG system prototype developed within the AHRC-funded iREAL project, exploring ethical AI implementation with Indigenous cultural data. Built using open-source models and technologies, the system demonstrates how open-source tools can responsibly process sensitive cultural materials while maintaining transparency through hybrid search and observability features.

We explore enhancing LLMs' ability to generate personality-consistent character utterances for novels. We annotated the personality traits of characters from 233 novels and observed that characters with similar personalities exhibit similar linguistic patterns in their utterances. Llama-2-7B was trained on character utterances using instruction tuning, producing more personality-consistent utterances.

This study explores gender representation in original Hungarian children’s literature and its translations into English, German and Dutch (1925–2025) using computational linguistics methods. Early findings highlight linguistic patterns in pronouns, adjectives, and occupational titles, revealing shifts influenced by sociocultural changes. The poster presents preliminary insights from corpus development and analysis.

This study examines Domenico Gerosolimitano's 17th-century Hebrew translation of the New Testament using DICTA's digital tools. A Jewish convert to Christianity, Domenico's work offers unique insights into early modern religious translation practices. Despite claiming multiple source texts, preliminary findings suggest his translation primarily follows the Peshitta version, reflecting complex cultural and theological negotiations.

The School of Salamanca. A digital collection of sources offers central works by Salmantine authors. The print edition Las Siete Partidas (1555) is a complex dual text structure (Spanish main text/Latin gloss) that is demanding for TEI-transcription and digital representation. The poster presents our workflow to successfully address these challenges.

We focus on an exploration of features for developing metrics to quantify the degree of changes in digital online projects over time. Our purpose is to provide systematic methods to sustain and preserve culture and the digital scholarly infrastructure in the humanities over time, preventing their degradation and decay.

The Citizen Archive Platform simplifies the preservation of born-digital cultural heritage by enabling citizens to submit data seamlessly to institutions like archives and museums. Developed under the "Dialog City" initiative, the CAP standardises data transfer, ensuring accessibility, usability, and integration into OAIS while addressing key challenges in digital preservation.

CorpSum is a web application that enables user-friendly, dynamically generated queries in text corpora along different extralinguistic extralinguistic dimensions of variation (such as the dimensions time and space). It is a bespoke software module originally developed at the ACDH-CH to facilitate work with the Austrian Media Corpus (AMC)

The HAICu project leverages artificial intelligence and advanced machine learning to transform digital humanities research. By analyzing handwritten manuscripts from Dutch archives, researchers develop innovative computational techniques that cluster document layouts, generate metadata, and create new pathways for understanding historical collections through a collaborative, human-in-the-loop approach.

The poster presents an innovative interdisciplinary research hub, dedicated to digitality, outlining the centre's structure and collaborative approach. The focus lies on understanding digitality's epistemological nature and its potential to contribute to DH. The Reading and Writing Lab's work is highlighted, aiming to provide a theoretical framework for digitality.

This contribution presents the ongoing development of the Voci dall'Inferno project. This research initiative aims to create a digital corpus of non-literary testimonies from Lager survivors and analyze it to identify expressions from Dante's Commedia that witnesses use to describe their harrowing experiences.

VERA is a digital collaboratory for participatory research in the social sciences and humanities. Developed through the COESO project and now part of OPERAS, it enables multilingual collaboration between researchers and citizen scientists, fostering inclusivity, knowledge exchange, and innovative research practices across Europe.

EU Horizon2020-Funded Computational Literary Studies Infrastructure (CLS INFRA) is reaching the end of a four-year journey towards shared and sustainable infrastructures within the FAIR and CARE principles. This poster presents the outputs of the CLS INFRA project 2024-2025, focusing on the resources that open multilingual, participatory digital practices to all.

The software offers two retrieval functions. Firstly, it enables users to retrieve the small seal script characters that serve as basic elements through the number of strokes and stroke sequences. Secondly, it allows users to retrieve other small seal script characters composed of basic elements by means of IDS.

Ruiju Myōgishō (11th century) extensively cites Buddhist scriptures and classical texts with detailed source annotations. Combining TEI/XML and RDF effectively models its intricate structure, especially source data. This poster presents a model for encoding source information, highlights technical challenges, and explores its implications for early Japanese dictionaries.

O GIMTE, vinculado ao MATLIT LAB, explora a codificação textual com XML-TEI no ensino. Esta proposta de póster apresenta o trabalho realizado pelo grupo de discentes na transcrição, marcação semântica e tradução para o romeno de textos de Fernando Pessoa, no contexto de experimentação do laboratório.

In our project on Buddhist murals of Kucha, Xinjiang, we developed an interactive system for visualizing their locations. Using SVG-based register systems and 3D-cave models, it enables spatial analysis and accessibility. This approach improves understanding of mural arrangements, with potential applications in digital humanities for analyzing complex artworks.

The digital platform “Siberiana” (siberiana.online) for cultural heritage collection, preservation, and actualization is developed at the Siberian Federal University (Krasnoyarsk) as part of the Institute of Digital Humanitarian Research project.

This research explores 19th-century American serial fiction through data from Chronicling America, using computational methods to map networks of serialization. By analyzing formal features like chapter headings and author names, I uncover patterns of publication, reprinting, and reader engagement, recovering forgotten authors and rethinking seriality's role in literary history.

The eArchiving initiative provides guidance for digital preservation. The eArchiving Reference Curriculum is a master's level framework covering key aspects for that purpose, including data integrity, security, and long-term accessibility, intending to be a guide for academics and students. This poster will present the core elements of this framework.

The Urban Video Archive (UVA) is a digital repository documenting video activism in Rio de Janeiro (2013–2023). Developed with Brazilian media activists, it emphasizes co-creation and community archiving over institutional archiving and social media sensationalism. It highlights marginalized communities’ urban struggles through an interactive map, networked videos, and open-access tools.

This poster presents the Digital Camerarius, a digital edition of the Symbola et Emblemata by Joachim Camerarius. The goal of the project is to provide a machine-readable transcription enriched with structural and semantic markup, and to facilitate multimodal exploration with Retrieval Augmented Generation (RAG).

This poster will showcase our work-in-progress digital edition of John Derricke’s The Image of Irelande (1581), focusing specifically on how the PIs have worked with its visual elements. This poster presentation demonstrates how TEI can offer opportunities to enhance textuality and storytelling through access and accessibility.