HAICu: digital Humanities - Artificial Intelligence - Cultural heritage
Modern AI techniques such as 'deep learning' provide the promising prospect to interlink and enrich collections, deepening our understanding of the Netherlands' polyvocal past, present, and future. However, developing these Artificial Intelligence techniques is challenging, given the size and heterogeneous nature of the big data heritage collections, the context-dependency of interpretations and the inherent dynamics of ever-growing collections. Therefore, in the HAICu project, AI and Digital Humanities researchers, heritage professionals and engaged citizens aim for scientific breakthroughs in AI to open up, link and analyze in context large scale and heterogeneous multimodal digital heritage collections to facilitate user-assisted generation of fact-based narratives. Our target groups are all types of users and institutions whose functioning relies on relevant and reliable information. In co-creation with these groups, the HAICu project will develop new methods and user-engineered tools to construct meaningful contexts out of the available big data, assisting users to weigh both historical as well as current multimodal information.
At UU, together with HU, UvA, anf RuG, we research new multimodal search methods to support journalism research. In particular, we aim to develop multimodal search tools that allow journalists and others to allow longitudinal story lines using multimodal archives.
Researchers
Ali Ahmadi Katamjani (PhD student), Qi Bi (postdoc)
Academic supervisors
Prof. Anja Volk, Prof. Albert Salah, Dr. Peter van Kranenburg, Prof. Remco Veltkamp
Collaborating Partners
More partners are involved.