Topics

We welcome original research papers, case studies and sharing experiences within the non-exhaustive list of topics below:

Applications and Practices

• AI-driven text analysis and Natural Language Processing in humanities research
• Digital preservation and restoration of cultural heritage using AI
• AI applications in archaeology, history, and archival studies
• AI in social memory and trauma studies
• AI in creative and cultural practices: literature, art, music, and performance
• Bias, representation and stereotyping in AI-generated cultural content
• AI in critical/computational cultural studies
• Digital storytelling, immersive and interactive experiences (VR/AR, gamification)
• AI-enhanced pedagogy and digital learning in the humanities
• AI for audience engagement, participatory humanities and public cultural practices

Data and Methods

• Multilingualism and low-resource languages in digital humanities (corpora, resources and tools)
• Data creation, curation, annotation and sharing for humanities and heritage
• Multimodal cultural datasets (text, image, sound, video) and their challenges
• Computational methods for historical and diachronic analysis
• Knowledge graphs, ontologies, data modeling and semantic technologies
• Collaborative platforms and infrastructures for interdisciplinary research
• Interdisciplinary collaboration: models, challenges and best practices
• Evaluation frameworks and benchmarks for humanities AI applications

Ethics, Policy, and Perspectives

• Ethical challenges and responsible AI in the humanities
• Legal frameworks, intellectual property, and data governance in cultural contexts
• Policy, governance, and risk mitigation in AI adoption
• Environmental sustainability of AI infrastructure in humanities research
• Decolonial AI, local knowledge systems, and inclusive digitization
• Global South perspectives on AI and digital humanities