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The contribution utilizes the information density of the arrival lists published in the 18th century newspaper "Wien[n]erisches Diarium" with the help of digital, (semi‑)automatic methods: high-quality full texts are created with Transkribus and the entities named herein (e.g. points of entry/lodging) are extracted, geocoded and visualized on historical city maps.

We investigate the needs of analyzing historical attitudes to Hitler and Mussolini using digitized historical sources and a computer-assisted approach. We believe that the principles of 'minimal computing' are worth a comparison with established, resource-heavy approaches. In terms of social equity and global access, efficient methods offer opportunities for improvement.

How can NLP technologies be applied and measured on pre-modern documents? Based on a large handwritten dataset from the tower of Bern, we tested available language models and taggers, showcasing that specific forms of representation and identification need to be found. Relying on cooperation to further improve information retrieval.

This contribution argues to describe the discussions within the digital humanities (DH) discipline as a subjectivation discourse following the contention of Michel Foucault. This allows us to reframe the negotiation processes within the DH as a means to formally establish its disciplinary in/dependence, and as such provides and creates agency for the subjects of the discourse(s).

In order to get a clearer picture of the people who want to do Digital Humanities, their backgrounds, their expectations, and their contribution to the field, the huge amount of data gathered between 2009 and 2022 by the European Summer University in Digital Humanities "Culture & Technology" are being analysed. First results of this analysis will be presented at DH2023 hoping to provide more insight into this community and stimulate others to dig into their data as well so that by comparing and joining findings a clearer picture of what Digital Humanities mean to the people summer / winter schools and institutes bring to the field can be obtained.

The tutorial provides a practical introduction to Transkribus, a comprehensive platform for the digitisation, AI-powered text recognition, transcription and searching of historical documents. The participants will learn how to run the layout analysis (also for tables and complex layouts) and train and apply Handwritten Text Recognition AI-models to automatically generate machine-readable transcriptions of images of text. In the end, they will have a general understanding of the potential of Handwritten Text Recognition to open new research questions and how Transkribus can be used to collaborate, involve volunteers and teach in DH and History classes.

This paper will discuss how interdisciplinarity, collaboration and participation have been re-imagined in large-scale digital cultural heritage projects, taking the Congruence Engine project as a case study, by highlighting how the interplay between the collaborative nature of DH, and systematic action research can bring together the human and computational.

The main aim of the presentation is to present a methodology for the digital elaboration of the maps of voivodeships and the parish sketches by Karol Perthées to create a map of pre-partition Poland in the last years of its existence.

Collective sentiment plays a crucial role in financial markets. In this paper, we present our workflow for creating an index that captures the sentiment at the Berlin Stock Exchange from 1872 to 1930. Based on a historical newspaper, we train three models that provide daily aspect-level sentiment data.

This workshop uses the environment created around the HTR-United catalog to demonstrate and discuss how to build a dataset of ground truth for text recognition and document it, and how to use HTR-United and its suite of tools to control its quality and describe it in a standardized way.

This paper aims to elucidate the origin and metadata of land surveying maps, which meticulously document the landforms and features of various regions across mainland China between 1895 and 1944. Additionally, the digitization process of this research will be outlined. Furthermore, this paper will introduce the user interface of CHMap from two perspectives: firstly, CHMap as a platform for land survey maps, and secondly, CHMap as a tool for linking maps and images from disparate eras and sources.

The short paper will discuss the data that was generated during the editing of the records of the Imperial Diet of 1576. In a case study we will use data from our manuscript database and from the edited texts to analyse different dates and events mentioned in the records.

In 2023, Digital Humanities Research Institute at Siberian Federal University starts a working prototype of a research digital infrastructure for the aggregation, preservation, dissemination of Siberian historical and cultural heritage for historical, literary, ethnographic, art history and other kinds of research at the intersection of the humanities and computer sciences — Siberiana.online. The aim of the project is to launch a long-term initiative for digitization, analysis, and curation of the different collections of historical, cultural, and natural heritage of the Central Siberia (so-called Angara-Yenisei macro-region). The project is designed for research and education needs of the digital humanists at Siberian Federal University and world over, because Siberian artifacts and collections evoke a steady interest in the current literature.

RDF-star is the technology best suited for the creation of LOD- based editions of metadata-oriented documents such as travel jour- nals. Respectively, SPARQL-star is a powerful tool to query and analyze knowledge graphs with respect to the stored metadata in- formation for triples. We developed an RDF-star-based ontology for travel journals; as a prototype, we have used Jacob Bernoulli’s travel journal Reisbüchlein.

Establishing and operating research infrastructures designed for long-term use is a challenge. This holds especially true in small to medium scale institutes carrying out short-term projects. In our presentation, we would like to describe our approach to building an infrastructure for collecting and linking local cultural heritage data in Saxony.

This 3-hour workshop will introduce span categorization as a method for the machine-annotation of text for various research tasks in the digital humanities. Participants will gain a conceptual understanding of how span categorization differs from entity recognition and complete practical exercises to train a spaCy span categorizer on the LitBank dataset.

We explore the hypothetical distinction between texts of priestly (P) and non-priestly (nonP) origin in Genesis and Exodus with an independent computational and statistical methodology. We introduce a novel textual stylometry pipeline, where we intertwine descriptive and inferential statistics for distinction optimization, quantification of uncertainty, and feature importance analysis.

This study aims to extract people's names from pre-modern Arabic texts. The proposed dictionary-based model eliminates the influence of foreign words and extracts both first names and surnames from three selected corpora. It resolves two fundamental problems faced while performing Named Entity Recognition in Modern Standard Arabic studies.

We present the development of a richly annotated corpus of historical proceedings of the Carniolan Regional Assembly, which was the highest legislative body of the autonomy of the Carniola Herzogtum of the Habsburg Empire. We focus on the procedure used to convert the OCRed scans into Parla-CLARIN TEI encoded documents.

OpenAtlas (https://openatlas.eu/) is an open source database software used to acquire, edit, and manage research data from various fields of humanities. By using OpenAtlas, information entered is mapped to CIDOC CRM in the background. Types can be added dynamically and make OpenAtlas usable for different projects.

What role does color play in how we imagine our own world and the world(s) of others? Using machine learning and methods from Explainable AI, we study and explain how color use shaped the geographic imaginaries of the Orient and Occident in two different media: photochromes and autochromes

We present our ongoing effort to develop Rekall-IIIF, a platform that aims at providing an extensible software base for all communities in need for multimedia and multimodal annotation tools. It is modular, Open Source and built on the IIIF standard (https://iiif.io/).

The improvement of the automatic transcription of manuscripts relies on an easier access to training data of good quality (ground truth). HTR-United offers a solution to find and document such datasets, potentially creating a common. We present the set-up of this ecosystem and its main outcomes.

This long paper examines the affordances and challenges in interdisciplinary collaboration between researchers, projects and contemporary digital research infrastructures for the analysis of ancient narratives. Our case study is Pausanias's Description of Greece a 10 volume 2nd century CE traveling guide to Greece.

We will present challenges for a digital edition of an 18th-century gazetteer with 18000 entries on places in the Americas. Challenges range from OCR via applying TEI (dictionary module), orthographic variance, homonym disambiguation and coverage in "matching resources", to the extensive use of relative terminology for places in the prose.

OPERAS Innovation Lab provides targeted guidance for scholars seeking to disseminate their outputs in an innovative way. This poster presents three case studies of workflows for innovative scholarly communication: 1) toolkit/anthology; 2) interdisciplinary online journal; 3) software services. The workflows will serve as blueprints for SSH scholars.

The use of computational approaches with legacy catalogue descriptions enables new insights into their authors' historical perspectives, and provides the means for their evaluation and transformation into contemporary online catalogue records. I discuss my computational research with the historical catalogues of the British Library collection of pre-1500 published books.

We propose HIMIKO (Historical Micro Knowledge and Ontology) as a package containing a model and editing system for collecting pieces of historical knowledge scattered in the documents. The model enables help historians to construct document-based Historical Linked Data and brings a new perspective on the digital analysis of historical data.

The poster will introduce and share the first results of the Horizon Europe project MEMORISE, which creates a framework to preserve and enhance Heritage related to Nazi Persecution by virtualizing and linking multimodal data resources and by developing and offering novel digital technologies for accessing, exploring and engaging with HNP.

Using the original, manually applied labels, this poster presents whether early modern legal texts can be automatically labelled through AI. Using Annif (by the National Library of Finland) the applicability of the tool to early modern handwritten texts is and its various backends (e.g. TF-IDF; Omikujji, and fastText) are tested.

OHCH is developing a digital transformation plan based on smart-city concepts. The digital collections management system is presented, a virtual space where digital objects are shared to give universal and collaborative access to Cuban cultural wealth. Innovation and collaboration have been the keys for the development of digital collections.

Morphological analysis is an indispensable tool for analyzing Japanese text, but it is difficult for ordinary humanities researchers to set up an environment and perform analysis from the command line. Therefore we have developed WebChamame, an online tool that allows users to perform morphological analysis using multiple period-specific UniDic dictionaries.

In the ERC-Advanced Grant Project "DiDip – From Digital to Distant Diplomatics" (PI Georg Vogeler) we want to show which charter features are identifiable automatically and test which other features are recognized by the machine that can be useful for Diplomatics research.

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.

The panel has as its focus how collaboration in and implementation of DH methods has opened up a) new knowledge networks in the (conservative) field of Pietism and Religious History and b) transformed understandings of traditional disciplinary structures and hierarchies.

This paper explores representations of holiness in a collection of 63.000 lantern slides. Using the multimodal model CLIP, it sheds light on the transition between the real and the imaginary, the holy and the profane. It demonstrates how CLIP can help scholars deal with complex visual concepts such as holiness.

We analyze changes in the business network of Interwar Yugoslavia using computational network analysis. We extract data from Compass, a yearly directory of directors in Central European companies. We combine qualitative and quantitative methods to give insight into the evolution of the Yugoslavian business in a significant historical context.

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.

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

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.

The Institute for Balkan Studies of the Serbian Academy of Sciences and Arts runs a project of digitisation of Roman Inscriptions from the territory of Serbia, that will be encoded in EpiDoc TEI-XML and published in an open, digital archive of Latin and Greek inscriptions.

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.

The ERC-funded ModERN project is investigating 18th-century authorship practices using data-rich computational techniques to examine the digital archive of the Enlightenment period. This paper explores the use of new large-scale text reuse detection and network analysis to identify intertextual 'influencers' in a large heterogeneous collection of 18th-century French texts.

Studies in the humanities are increasingly incorporating methods from information theory, which are based on dynamics in word usage and measures of relative entropy. This paper uses windowed relative entropy to thematic text representations to generate signals that capture information novelty and resonance and, aggregated on the actor-level, shed light on the innovators of the past. Comparing early modern chronicles and twentieth-century parliamentary debate we aim to investigate several dimensions of innovation in historical language records.

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.

Conflict simulations are a useful tool to confront students with the general problems of formalizing problems in abstracts models. In this showcase workshop participants will design games on a historical topic, play and compare their solutions.

Initially, Digital Medievalist was understood to be a group of supportive scholars, that wanted to test digital methods for their research projects. Since then, it has developed into a scholarly community with 1500 members and has become an integral part of the field nowadays called Digital Humanities.