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AI4DH

Purpose

The Centre of Excellence in Artificial Intelligence for Digital Humanities (CoE AI4DH) is a community of experts in AI, social sciences, and digital humanities that pursue excellent science in an interdisciplinary and collaborative way. By leveraging AI expertise and a top-tier computational infrastructure, CoE fosters interdisciplinary collaborations. If you would like to integrate AI into your social science or humanities research, we are here to support you.

Unprecedented amounts of data are now available to researchers in humanities and social sciences. The application of artificial intelligence is essential if we are to process the available data sets, uncover previously hidden patterns and gain insights at unprecedented speed. The establishment of a Centre of Excellence in Artificial Intelligence for Digital Humanities (CoE in AI4DH) is key to supporting this transformation.

The CoE welcomes researchers to reach out with specific needs for guidance on what is possible, what is not, what aligns with their requirements, and what represents a research gap that could be addressed by computer scientists at the CoE.

By integrating AI into their workflows, researchers can enhance the efficiency and depth of their analyses, leading to new insights and a broader understanding of cultural and historical phenomena. We aim to strengthen collaboration across disciplines, including computer science, AI, linguistics, history, media studies, folkloristics, journalism, and philosophy.

Services

We offer a wide range of services to support 
AI-driven research in digital humanities:

  • Computational Infrastructure

    Access to advanced infrastructure for AI models in digital humanities.

  • Education & Training

    Workshops and resources to enhance AI knowledge and skills.

  • Research & Resources

    Tools and datasets to support your projects.

  • Project, Proposal & Support

    Assistance in developing AI-driven research proposals.

  • AI, Machine Learning 
& Data Science Support

    Expert guidance on applying AI techniques.

  • Methodology Support

    Help in designing and implementing AI-driven research methodologies.

Our goal is to generate new insights into social issues such as inequality, migration, and political polarization. By analyzing large datasets from historical archives, social media, and other digital platforms, we uncover patterns and trends in societal behavior, public opinion, and cultural shifts. We are committed to using AI responsibly, ensuring that our technologies uphold human rights, protect privacy, and respect cultural diversity.

Possible collaboration and support:

Text Analysis and Natural Language Processing (NLP)

AI-powered tools can analyse and process vast amounts of textual data, helping researchers uncover patterns, sentiment, and themes within literary works, historical documents, and other texts. NLP algorithms can assist in language translation, sentiment analysis, and topic modelling.

Data Mining and Knowledge Discovery

AI algorithms can sift through large datasets to identify relevant information, connections, and patterns. This can be particularly useful for uncovering hidden relationships and trends within historical and cultural data.

Image and Multimedia Analysis

AI technologies, including computer vision, can assist in the analysis of images, videos, and other multimedia content. This is valuable for tasks such as identifying objects, recognizing patterns in visual materials, and creating searchable databases of visual resources.

Digital Archives and Preservation

AI can contribute to the digitization and preservation of cultural heritage by automating processes such as image recognition, cataloguing, and metadata generation. This helps in the creation and maintenance of digital archives.

Machine Learning for Pattern Recognition

Machine learning models can be trained to recognize patterns and trends within historical and cultural datasets, enabling researchers to make new discoveries and gain insights that may not be apparent through traditional methods.

Interactive Data Visualization

AI can enhance data visualization techniques, providing researchers with tools to create dynamic and interactive visualizations of cultural and historical data. This makes it easier to communicate findings and engage with the audience.

Automated Transcription and Translation

AI-powered tools can assist in transcribing handwritten or old documents, as well as translating texts in various languages. This can save researchers time and make historical documents more accessible.