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Games create worlds made of many different elements, but also of rules, systems and structures for how we act in them. So how can we make sense of them? This webinar from the Friday Frontier series lays out this approach and how it can help you analyse and conceptualise gameworlds.

The Cultural Heritage Cloud (ECCCH) is a major European initiative designed to provide heritage professionals and researchers with access to data and advanced digital tools. The goal of this course is to build learners’ foundational understanding of the key concepts and technologies necessary to engage with the cloud, demonstrate some of its practical tools and applications, and inspire their further exploration of digital transformation in the heritage and research domains.

This resource introduces the basic concepts of 3D modelling for cultural heritage, focusing on 3D acquisition techniques and the broader concept of Aware Heritage Modelling. Three modelling approaches are presented: source-based, reality-based and hybrid. In addition,the course addresses the role of critical documentation, AI and FAIR principles.

The resource explores how IoCT technologies power Reactive Digital Twins in ARTEMIS, transforming real-time data into intelligent actions for cultural heritage monitoring and protection.

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 introduces the fundamental concepts of cloud computing. Particular emphasis is placed on how cloud technologies support scalable, secure, and flexible environments for data storage, analysis, and application deployment.

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.