Computational Infrastructure
Access to advanced infrastructure for AI models in digital humanities.
Our mission is to empower digital humanities and social science researchers to apply state of the art AI technologies, driving new discoveries and advancing knowledge in their fields.
We offer a wide range of services to support AI-driven research in digital humanities:
Access to advanced infrastructure for AI models in digital humanities.
Workshops and resources to enhance AI knowledge and skills.
Tools and datasets to support your projects.
Assistance in developing AI-driven research proposals.
Expert guidance on applying AI techniques.
Help in designing and implementing AI-driven research methodologies.
EM Lewis-Jong is the Founder of Mozilla Data Collective. We explored the Mozilla Data Collective, the challenges of data sharing, the importance of building infrastructure for less-resourced languages, their use of AI, and their doctoral research.
Dr Ajda Pretnar Žagar delivered a session on data management and processing, guiding participants through different data types and the roles of variables and indexes
Dr. Marko Robnik Šikonja delivered the keynote address at the eLex 2025 conference on electronic lexicography. His talk explored a central question: how are large language models (LLMs) transforming the field of lexicography? He examined their benefits and limitations, and also considered what the future may bring.
The first two workshops in the series are: Data Management and Processing (held on 1 December) and Trends and Challenges in Artificial Intelligence (held on 5 December).