With the recent surge of generative AI models and their increasing impact on various industries, digital libraries too are experiencing a paradigm shift. As AI continues to revolutionize the way information is organized, accessed, and preserved, digital libraries must adapt and embrace these advancements to remain effective and relevant.

The annual Joint Conference on Digital Libraries (JCDL) is the primary international event for the inter- and multi-disciplinary community of academics and practitioners in digital libraries coming from computer, library, information, and social sciences, and other related disciplines. JCDL encompasses the many meanings of the term digital libraries, including notions of managing, operating, developing, curating, evaluating, or utilizing collections of data/information/knowledge in various domains. JCDL’24 aims to explore the intersection of AI and digital libraries, delving into the challenges, opportunities, and ethical considerations that come with harnessing AI’s potential to enhance the digital library experience for both users and administrators. 

Topics

Topics of interest, as they relate to digital libraries, include, but are not limited to:

Users and Interactions

    AI-supported user interfaces and accessibility in digital libraries
    Collaborative and participatory information environments
    Crowdsourcing and human computation
    Human-information interaction
    Information visualization
    Social networks, virtual organizations and networked information
    Social media, community building, and applications
    User behavior and modeling
    AI in digital libraries and information literacy

Search and Recommendation

    AI / Machine learning / Data mining for DLs
    Dataset retrieval
    Information and knowledge systems
    Information retrieval
    Knowledge discovery
    Natural language processing
    Navigational and exploratory search
    Personalization and contextualization

Digital Libraries in Practice

    Digital archiving and preservation
    Digital humanities and heritage
    Knowledge organization systems in practice
    Personal digital information management
    Scientific data management
    AI applications for digital preservation and archiving
    Performance evaluation
    AI-driven analytics and insights for digital library management
    Policy and law
    Privacy and intellectual property
    Ethical considerations and social implications of AI in digital libraries

Content and Structures

    Data curation and stewardship
    Document genres
    Extracting semantics, entities, and patterns from large collections
    Infrastructure and service design
    Linked data and its applications
    Research data management
    Web and network science
    AI-powered metadata generation and data curation