Key research themes
1. How can technical media archaeology inform the understanding and preservation of digital archives distinct from human memory processes?
This theme investigates the concept of digital memory and archives through the lens of media archaeology, focusing on the technical and material conditions underlying digital storage rather than the phenomenological or narrative aspects of human memory. It emphasizes a rigorous, technical analysis of archival media as signal-processing devices, distinguishing digital memory as a physical substrate underlying cultural expressions. This approach challenges traditional semiotic and anthropological analyses of memory and culture and opens avenues for rethinking preservation and interpretation strategies for digital archives.
2. What are the key technical, legal, and organizational challenges involved in the long-term preservation and accessibility of born-digital archives across institutional contexts?
This theme collects research addressing practical challenges encountered in archiving born-digital materials, ranging from news media, university archives, to government websites and digital cultural heritage. It covers the obstacles of technological obsolescence, lack of standard policies, staffing and resource limitations, metadata inconsistencies, legislative frameworks, and rapidly evolving digital formats. The studies reveal diverse methodologies and institutional approaches for implementing sustainable preservation strategies and infrastructures.
3. How can innovative computational methods, including natural language processing and graph-based learning, enhance discovery and analysis in small or specialized digital cultural heritage archives?
This theme explores recent advancements in employing AI-driven methods such as entity extraction, heterogeneous network embeddings, and recommendation systems tailored to navigating complex, small-scale digitized cultural heritage collections. It addresses problems like ambiguous terminology and sparse data typical in such archives, and discusses how integrating metadata, temporal information, and semantic relationship modeling can facilitate richer analysis, discovery, and navigation for archivists and researchers.