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.