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This resource provides an overview of how Artificial Intelligence and semantic technologies can support the development of Intelligent Digital Twins for cultural heritage. It explores semantic search systems, vector embeddings, predictive modelling, and simulation environments capable of transforming fragmented datasets into accessible and meaningful knowledge.

This resource explores the challenges of validation within complex spatial simulation projects. Drawing on practical examples connected to ARTEMIS activities, the session discusses how complexity emerges from interconnected data flows, historical accuracy requirements, simulation layers, and collaborative workflows.

This resource discusses how the ARTEMIS project combines artificial intelligence, network science, knowledge graphs, and semantic ontologies to transform unstructured cultural heritage data into structured, machine-readable knowledge supporting Reactive Heritage Digital Twins (RHDTs).

This resource focuses on immersive environments and multi-scale digital models as tools for scientific research, interpretation, and collaborative decision-making. Through examples ranging from biological systems and agriculture to archaeological reconstructions and heritage site analysis, it demonstrates how virtual reality (VR) technologies, digital twins, and semantic data integration can enhance the understanding of complex datasets and spatial environments.

This resource introduces the fundamental concepts of Augmented Reality (AR) and Virtual Reality (VR), presents contemporary AR/VR headsets and their capabilities and explains how immersive technologies can support the use of Reactive Heritage Digital Twins (RHDTs) for information visualization, annotation and collaborative interaction within virtual environments.

This resource aims to acquaint both DH experts and the general audience with the general idea, the workflows and advantages of transforming manual object reassembly and restoration into a digital twin.

This international workshop, funded by the DARIAH Working Group Activities 2023-2025 programme, was organised by the CNR Institute of Heritage Science with the Cyprus Institute and the University of Catania, supported by the Municipality of Poggioreale. It addressed digital methods for conserving and reusing tangible and intangible construction heritage, highlighting Heritage Building Information Modelling for data acquisition, interoperability, and interdisciplinary collaboration.

The need to create a large corpus of early music data, one that coherently encodes and curates data that can be used for computer analysis, was the impetus behind the CORSICA project. This webinar outlines the results from that project and how it can facilitate large data analysis of digital early music corpora.

This resource introduces learners to audio material segmentation, transcription, text annotation and dictionary creating using the tools ELAN and FLEx.

This resource introduces the pillar concepts of the ARTEMIS project: the Heritage Digital Twin (HDT), the ARTEMIS ontology, the Knowledge Base (KB) and the Reactive Heritage Digital twin (RHDT).

In digital humanities, retrieval technologies have always mediated how we read, from concordances to search engines. This talk introduces AI hermeneutics, an approach that treats retrieval-augmented generation (RAG) not as automation but as interpretive infrastructure, opening up an opportunity to integrate AI into the existing reading experience.

This resource discusses the risks that cultural heritage faces at the moments and the needs that digital technologies must meet to prevent those risks. The course presents frameworks, guidelines and policies that surround heritage risk management and best practices.

This resource explores how a digital twin can represent, connect, and reason about entities of the real world through structured knowledge. It defines a semantically grounded approach to knowledge integration, management, and reasoning in the Cultural Heritage domain.

This resource is an introduction to building semantic and interoperable digital models for Reactive Heritage Digital Twins (RHDTs). It show how the respective ontology and CIDOC-CRM aligned modules enable interoperability across domains and support reasoning within the ARTEMIS Knowledge Base.

Incentives and advocacy of open science principles have spread for more than two decades in the social sciences and humanities. In this presentation, taking archaeology as a case study, the underlying principles of the “archeoViz” ecosystem will be presented and illustrated, to fuel a more general discussion about the advocacy of open science principles in the social sciences and humanities.

This resource provides an introduction to Linked Open Data and SPARQL. It explains how LOD is used to publish structured data on the web and basic concepts like RDF, ontologies and using URIs. Practical exercises using SPARQL queries and SPARQL endpoints in the SPARQL playground and the CLSCor Catalogue complete the course.

This online workshop is organised within the framework of the Computational Literary Studies Infrastructure (CLS INFRA) project. The event introduces the fundamentals of network analysis for humanities scholars, combining historical and literary case studies with hands-on practice. Participants will explore networks of literary characters, letter correspondence, and historical actors, and learn to visualise and interpret these structures using accessible tools like Gephi and EzLinaVis.

Born-digital culture refers to materials, environments and practices that originate in a digital form. In the 21st century these have rapidly expanded, with many of our contemporary cultural practices increasingly mediated in some way by digital media and technologies. In this course, designed by the Digital Humanities Research Hub at the School of Advanced Study, University of London, you will explore key concepts associated with digital culture and archives, ethical issues, and how to collect and analyse born-digital materials.

This free online course provides a practical introduction to working with digital texts and applying some of the tools available to digitise and interrogate them. It will help you to decide whether to use digital approaches to textual analysis and to select the correct tools for your research project.

Using the reader survey R package LitRiddle, this resource offers a gentle introduction to tabular data analysis in Rstudio. Following along the code examples, students will learn about Rstudio, Markdown files, and how to explore, analyse and transform quantitative data in R.

The emergence of ChatGPT and other generative AI tools presents both opportunities and challenges for academia. While these technologies offer powerful capabilities to support scholarship, their thoughtless adoption could undermine the very foundations of academic work. This talk from Dr. Mark Carrigan, presented as part of the DARIAH Friday Frontiers webinar series, introduces a framework for incorporating generative AI into academic practice in ways that enhance rather than replace human thought.

What connects analysing the creative process of a performance using 20,000 collected digital documents, reconstructing an artist's career from programme data, and preserving a touring show? Following a state-of-the-art review of research in performing arts and digital humanities (literature, history, and representation analysis), this Friday Frontiers webinar addresses current challenges, including data modelling, multimodal analysis, and artificial intelligence.

This webinar from Prof. Jennifer Edmond and Dr. Eleonora Lima at Trinity College Dublin discusses the Knowledge Technologies for Democracy (KT4D) project and its investigation into how democracy and civic participation can be better facilitated in the face of rapidly changing knowledge technologies, namely Artificial Intelligence (AI) and Big Data.

Scholarship in three dimensions can transcend the limitations of traditional two-dimensional representations of objects that exist in the physical world in three dimensions. This presentation showcases the scholarly potential of 3D digital scholarly editions, advocating for their adoption as a new tool in the DH toolkit for new formats for the dissemination and interrogation of knowledge.

This three-day training school organised by the CLS INFRA project focused on dynamic collections of literary texts manipulated programmatically. Learners will learn to find, evaluate, and select corpora using tools like CLSCor and DraCor, and gain skills in Python, Jupyter Notebooks, API querying, Linked Open Data, and Digital Literary Network Analysis. The training addresses reproducibility using Docker, promoting transparent, replicable research in Computational Literary Studies.