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Based on comparative case studies of four digital humanities projects, this paper identifies six community-centric factors in the sustainability of digital scholarship: factors that transcend organizational, technical, or financial considerations, and which relate to and rely upon the communities that support and surround digital humanties projects.

This poster presents the collaborative creation of a dataset of 100.000+ pages of handwritten police reports as a successful example of large-scale digitisation initiatives by small-scale research projects. It shows efficient solutions for applying Handwritten Text Recognition techniques on challenging historical documents and for bypassing noisy training material.

We propose to leverage public vulnerability scanners to examine the servers where online digital projects are hosted and list their common vulnerabilities. Provided in an anonymized, aggregated fashion, this assessment will shed light on our hypothesis: cyber threats are a significant factor in the degradation of online projects.

The paper presents digital edition of Tolstoy's heritage based on 90 complete edition, printed in mid 20th century. The paper describes the workflow that has been chosen to deal with this immense cultural heritage and defines a compromise between three objectives: presevation of Tolstoy's heritage, preservation of literary scholar edition and digital user scenarios

A blueprint for establishing a workflow for generating research data in humanities research projects using the example of the project Exil.Trans. FAIR criteria as well as Linked Open Data principles and ontology-based modeling are addressed.

This paper applies a sound studies approach to a literary studies use case: Using a mixed-methods approach, we investigate whether there is a correlation between the description of sounds and suspenseful text passages in a 19th-century English novel corpus. Our hypothesis is that suspenseful passages contain more detailed descriptions of the story's soundscape than unsuspenseful passages.

PUDEL is a new service for sharing and documenting DH data models. It is developed as a free and open-source software, and can easily be included into existing DH research practices. It provides institutions, researchers and specialists with the tools for sharing and preserving their data models.

This contribution discusses how collaboration between content holder, researchers, software engineers, experts in digitisation and in corpus building has drastically improved the digitisation workflow and the output of a corpus of 17th century newspapers.

In this panel we offer a multifaceted and interdisciplinary perspective on the development of the Sloane Lab. We contextualise it both within a wider, nationally-funded drive to make the UK's cultural heritage, and information about it, computationally tractable and the more internationally-positioned work of 'Collections as Data'.

This paper contributes to the assessment of various – possibly impacting – factors during the collection of ground truth data for training HTR-systems. By scrutinising different parameters (e.g. scribal hands, handwriting styles, spelling profiles, textual genres, etc.) we will report on the impact of various train-target combinations.

Artificial Intelligence (AI) technologies such as Deep Learning and Transfer Learning are rapidly advancing text and image classification in many disciplines (e.g., Lucas et al. 2022, Huang et al. 2022, Kumar et al. 2020). With the progressing digitisation of cultural heritage, AI increasingly finds applications in arts and humanities disciplines as well (Cetinic et al. 2019, Saleh / Elgammal 2016). It is evident that AI technologies open new possibilities for processing and analysing large, heterogeneous historical data corpora in a semi-automated way (Im et al. 2022). But do they have the potential to “overturn intellectual legacies” and to revolutionise the field? In the project Ottoman Nature in Travelogues (ONiT 2023) we strive to leverage the application of AI technologies to historical research by developing an interdisciplinary methodological framework for the semi-automated, AI-driven analysis of text–image relations. Our object of study is a large multilingual corpus of travelogues printed 1501–1850 (Rörden et al. 2020) that contains representations of Ottoman “nature” (i.e., flora, fauna, landscapes) both in text and image. This short presentation focuses on our first results achieved for improving image classification of historical prints (i.e., mostly woodcuts, engravings, and etchings). We present our approach to robustly identify and classify key image types in our corpus and discuss challenges and lessons learned during this process. &nbsp

OstData is a research data service for Central, East, and Southeast European Studies. Based on its fine-grained metadata schema and faceted classification system, the research data repository and discovery system enables interdisciplinary collaboration as opportunity and fosters networking of national and international research communities, research infrastructures, and funders.

I will present the project of building a database of historical Polish lexicons. The most important dictionaries with Middle Polish material will be digitized in steps: HTR recognition, XML tagging, morphosyntactic tagging. We intend to prepare the API that could be connected with sources of Middle Polish or Latin used in Poland.

Manu McFrench is a handwritten text recognition (HTR) model dedicated to French texts from the modern and contemporary periods. It was trained using data generated through the CREMMA infrastructure and/or shared via the HTR-United catalog. We demonstrate its usefulness to reduce the costs of training such models for specific handwritings.

This contribution illustrates the preliminary results of the project concerning Giorgio Bassani's personal library. The project provides both a printed traditional edition of the notes he wrote on his books and the development of a digital environment to browse and analyze them.

The poster will reflect on significant waypoints in the course of creating the data model for SemanticKraus – a project concerned with integrating different Karl Kraus-related research data, converting it into Linked Data, and by doing so linking past and future Kraus research to the Semantic Web.

The main objective of CrowdHistory project is to identify, analyse, test and standardise methodological practices of citizen participation in Spanish R&D projects from the perspective of Digital Humanities, both within and outside the academic field.

We present an overview of the final results of the annotation task of the Emotions in Drama (EmoDrama) research project which are corpora of 18 historical German plays annotated with over 21,000 emotion annotations. We present distribution results, agreement statistics and discuss application areas of this unique corpora.

MemoRekall is a free and open-source web app to annotate a video enhanced by adding notes, documents, or web links. Originally conceived for the preservation and documentation of performing arts, two European citizen science projects (COSMIC and COESO) lead to broaden its uses and develop new functionalities. Both projects share the same methodological approach, based on action research and co-design. This paper will present this co-construction methodology, at the heart of MemoRekall's development from the outset, how it impacted the two new versions of MemoRekall, and its contribution to the study of collaboration in the context of citizen science projects. MemoRekall is a free and open-source web app to annotate a video enhanced by adding notes, documents, or web links. Originally conceived for the preservation and documentation of performing arts, two European citizen science projects (COSMIC and COESO) lead to broaden its uses and develop new functionalities. Both projects share the same methodological approach, based on action research and co-design. This paper will present this co-construction methodology, at the heart of MemoRekall's development from the outset, how it impacted the two new versions of MemoRekall, and its contribution to the study of collaboration in the context of citizen science projects.

VedaWeb is an established research website for the ancient Vedic text Rigveda. It now evolves into an open collaborative platform for researching and sharing Vedic Sanskrit language data in a broader perspective. How will the new platform stimulate collaborative processes among researchers of Vedic Sanskrit and beyond?

The theatrical agency of the Viennese court between 1758 and 1763 is documented by Philipp Gumpenhuber's chronicle, an unique and exceptional source that offers insights into the theatrical, social, and political court life. The project's aim is to create a scholarly digital edition (GuDiE) of the theatre chronicles.

Institutionalized DH units are primed to transform their superordinate humanities organizations as their core skills and values map requirements of organizational development. The concepts of "organizational ambidexterity" and "embeddedness" empowers DH units to evolve their organizations integratively while remaining true to their own mission and practices.

This paper presents a platform providing a digital census of copies of a limited number of printed editions and mapping their owners and readers' annotations represented in an RDF framework. Its ResearchSpace instance, magnetic-margins.com, provides interactive statistical analyses of the data that is encoded predominantly using CIDOC-CRM and FRBRoo.

ARS is a networking platform for architecture research that enables new interdisciplinary collaborations. The presentation outlines the infrastructural need for a platform like ARS and explains the underlying collaboration model relying on graph-technology. A showcase of the prototype displays and discusses learnings from first user tests and the development process.

Participants are invited to explore modelling and annotation through exercises demonstrating music research conducted in Oxford and Vienna. After hands-on ontology design exercises with pen and paper, they are introduced to cutting-edge digital tooling and led through research processes of an ongoing project investigating the Vienna Philharmonic's New Year's Concerts.

This presentation reports on a case study investigating how NaturalLanguage Processing, a field that applies computational methodssuch as Machine Learning to human-written texts, can supportthe measurement and evaluation of gender biased languagein archival catalogs. Working with English descriptions from thecatalog metadata of the University of Edinburgh’s Archives, wecreated an annotated dataset and classification models that identifygender biases in the descriptions. Conducted with archival data,the case study holds relevance across Galleries, Libraries, Archives,and Museums (GLAM), particularly for institutions withcatalog descriptions in English. In addition to bringing NaturalLanguage Processing (NLP) methods to Archives, we identifiedopportunities to bring Archival Science methods, such as CulturalHumility (Tai, 2021) and Feminist Standpoint Appraisal (Caswell,2022), to NLP. Through this two-way disciplinary exchange,we demonstrate how Humanistic approaches to bias and uncertaintycan upend legacies of gender-based oppression that mostcomputational approaches to date uphold when working with dataat scale.

This poster presents a suite of Python utilities for interacting with the DICES database of metadata on Greek and Latin epic speeches and for connecting DICES data with a broader ecosystem of linked open data for Classics.

The tutorial demonstrates a workflow that we developed for the text-based digital classification of an early modern advertisement newspaper which allows for subsequent and dynamic classification of the single ads according to the researcher's interest. It also shows how this approach could be applied to similar publications, using our R-package.

The proposed poster gives an overview on the Gloss-ViBe project which analyses the early medieval Celtic and Latin glosses found in the fragmentory manuscript Vienna, Österreichische Nationalbibliothek, Codex 15298 (olim Suppl. 2698) from different angles including digital humanities, philology and linguistics.

Bee-ing Human is an interdisciplinary project that brings together researchers from the Humanities (Literary Studies, Musicology), Biology (Insect Behaviour), and research software engineers to study the role of emotions in Bees. We depart from a seventeenth-century apiary book (Butler, The Feminine Monarchy of Bees) to produce a new work in the digital space that will reflect on both the early modern knowledge and interpretation of bee behaviour, and the latest scientific research.

W. H. Auden was among the most influential twentieth-century poets. New digital-edition projects aim to contribute to investigating his life and work in Austria. While the model of 'assertive edition' helps to address both philologically- and historically/biographically-oriented research interests, this paper will focus on formally representing uncertainty and editorial interpretation.

Studies claim that open data will foster collaboration and cooperation. Our goal is to study how archaeologists collaborate and analize the potential of opening research data. To do that, we conducted 15 interviews to archaeologists in Catalonia and asked about their data sharing habits and perspectives on open data.

Based on ongoing research in the collaborative Digital Theological Hobbes (DTH) project, this long presentation aims to showcase the benefits of a textometric approach to the elaboration and exploitation of a machine-readable model of Hobbes's Bible in the English political works relying on the TXM software platform.

While the calls for reproduction studies in Computational Literary Studies (CLS) have become louder, practical aspects, especially the interplay of the components involved in the research process (code, data, environments, infrastructures, etc.) proves to be a hurdle for reproducing research. We present a way to fully reproducible research using a Docker-based approach: We exemplarily implemented it for a network-analytic study on a corpus of about 3,000 theater plays derived from the DraCor project. We demonstrate that the use of highly portable, self-contained digital artifacts (Docker images) containing runnable research environments not only allow for a full reproduction of the study, but also offer ways to implement different scenarios of repeating research (e.g. same code, different data).

This research, within the framework of computational archives, inspects a novel approach to representing intangible knowledge in traditional martial arts. The methodology presents a unity of ontological modeling, semantic annotation, and feature-based machine learning to display, (re-)interpret, and transmit embodied knowledge using multimodal digital archives.

Living with Machines rethinks the impact of technology on the lives of ordinary people during the Industrial Revolution. The project queries metadata for large-scale newspaper collections. This poster describes the workflow of building a database infrastructure that facilitates quicker and easier humanities research on heterogeneous and complex newspaper data.

The contemporary focus on the 'data problem' in the humanities centers on the uniqueness of humanities data. We argue this is a mistake. Humanities data are not special because of what they are, but rather because of how they are used. The "problem" with Humanities data lies in the use-case.

The goal of this project is to create structured metadata for the Women Film Pioneers Project (WFPP), enrich it with authority data, and link it in a sustainable way to other datasets on women film pioneers. The poster outlines the methodological approach of the project and presents preliminary results.

The Digital Humanities Institute is currently prototyping methods to offer rapid deployment of DH technology in situations of crisis. The aim of this project is to collect, systematize and digitize the inscriptions on the monuments of Armenian cultural heritage in Nagorno-Karabakh. 3D models will be built when possible.

With this paper we would like to reflect on Proyecto Humboldt Digital's strategy for building digital capacities –that is, learning new skills and methodologies at an individual and organizational level– through collaboration. The international collaboration established in Proyecto Humboldt Digital (ProHD) has not been limited to carrying out a technical workflow but continuously organizes the exchange of research activities and experiences, and builds on a wide set of both internal (team oriented) and external (community oriented) training activities. Despite restrictions during the COVID-19 pandemic, short stays in both Havana and Berlin have taken place since 2019 as well as monthly meetings in virtual format; more recently, in 2022 an international DH conference and a workshop about digital scholarly editions took place in La Habana (Cuba) organized by the team members. During these encounters, we were able to define software requirements, present our main results, share the main issues and progress made in retrospect, and plan our following activities in order to publish online a collection of texts related to Alexander von Humboldt's trip to Cuba in the 19th century.

Composed to mark Franz Joseph's state visit to Wilhelm II, Strauss' Kaiser Walzer (Emperor Waltz) provokes the question: which Emperor was it for? We investigate this in a case study of interdisciplinary collaboration in digital musicology, employing a FAIR data multimedia corpus associated with the Vienna Philharmonic's New Year's Concerts.

In this paper we will present publication workflows developed by the DHd Data Steward for publishing conference papers of the DHd annual conferences and illustrate how the collaboration with the DHd community is an essential part of the improvement of the publication strategy within the DHd association. More precisely, we will introduce the DHd Task Force "DHd Abstracts", which is working on improving the submission and publication processes community-driven.

In digital humanists, every project we create, every software application we use, every piece of hardware we purchase impacts our environment. In response to this need for greater awareness, the Digital Humanities Climate Coalition (DHCC) created a Toolkit (https://sas-dhrh.github.io/dhcc-toolkit/) using minimal computing principles.

Bibliographical data are one of the most important types of data for data-driven research and curation in the humanities. The goal of the panel is to introduce various aspects of current bibliographical data ecosystem which is shaped by constant interactions between various public and private stakeholders.

This paper investigates to what extent formal aspects, such as rhyme, stanza form, and text structure, might have influenced the medieval copying process. To this end, all 17 manuscripts of Jacob van Maerlant's Martijn trilogy have been computationally aligned. A first test verified the constraining character of rhyme.

Since CATMA version 6.0 project data can be accessed in the form of Git repositories. A Python library which enables easy access to this data was developed at the department of Digital Philology at the Technical University of Darmstadt. It makes it possible to further process annotations using established and popular Python data science tools. The poster will serve as a kind of instruction manual for the use of the CATMA Git Access and the Python library.

This short presentation will provide insight into the process of developing the Computational Theology Compendium. It aims to enable theologians to explore the potential of DH approaches for their respective disciplines. Challenges such as the unfamiliar collaborative working style or finding a common terminology will be addressed.

Many projects in the domain of digital humanities have shown a growing interest for object recognition in artworks [1], and, more specifically, for the task of Human Pose Estimation (HPE). HPE is a well defined challenge in computer vision and benefits from large training datasets of annotated images that allow the creation of highly performative machine learning models. However, these datasets are usually made of recent photographs collected in the web, capturing a loose western perspective with all its biases Moreover, their content diverges from artworks created in past Centuries. For the case of figurative paintings, visual features, such as brush marks and color shades, but also the morphology of bodies, dressing codes or the overall composition, have an impact on the accuracy of HPE models. These many differences do not enable the field of digital art history to fully benefit from the performance of existing models and the lack of a proper training dataset for artworks makes it difficult to retrain them. Therefore, we present the Pose Annotation Project for Artworks (PAPA), which goal is to produce a training dataset for body pose estimation on artworks through a platform for participatory annotations of images.

This poster presents the proposal for a web-based tool designed to create graph-based digital commentaries. The tool is based on the Web Annotation Data Model and allows collaboration of several users in the preparation of a commentary.

Inaugurated in 2022, the CANEVAS consortium brings together researchers from various humanities disciplines whose common interest is to handle video corpora in their research. This poster present specific issues raised by these corpora as well as a selection of tools and methods identified by the Canevas research community.