Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

All submissions must be in English, in PDF format. Papers should follow Springer Computer Science Proceedings guidelines (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). All papers are to be submitted via the conference’s EasyChair submission system

List of Topics

Conference Theme is: “Empowering Digital Knowledge Ecosystems through Data, AI, and Human Intelligence.”

We invite submissions on diverse topics related to digital libraries and related fields including (but not limited to):

AI, Data Science, and Analytics:

• Information retrieval and access technologies to digital collections
• Data mining and information extraction
• AI for digital libraries
• Natural language processing techniques in digital collections
• Knowledge discovery from digital libraries content
• Recommender systems for digital libraries content
• Data science, AI, and LLM techniques for digital libraries
• Semantic Web, linked data, and metadata technologies
• Ontologies and knowledge organization systems
• Pretrained language models and digital libraries
• Generating prompts for large language models
• Conversational Information Retrieval
• Detecting content created by generative AI
• IoT and digital libraries
• Visualization, user interface, and user experience

Cultural Heritage, Society & Policy:

• Cultural heritage access and analysis
• Dealing with history, literature, and music in digital libraries
• Cultural heritage and museum informatics
• Collaborations among archives, libraries, and museums
• Digital cultural memory initiatives
• Memory organizations in the digital space
• Participatory cultural heritage
• Community Informatics
• Intellectual freedom, censorship, misinformation
• Intellectual property issues
• Policy, legal, and ethical concerns for digital libraries
• Information policies
• Misinformation and disinformation
• Impact of generative AI on digital library policy and practice
• Societal and cultural issues in knowledge, information, and data
• User engagement with digital cultural heritage in local communities New
• User needs in multicultural and multilingual information environments

User Studies and Information Behavior:

• Information seeking and search behavior in digital environments
• Information behavior analysis
• User experience (UX) design and evaluation of digital library systems
• User needs, expectations, and satisfaction in digital libraries
• User studies on AI-powered search and recommender systems
• Trust, transparency, and explainability of AI from users' perspectives
• AI literacy and information literacy in the age of generative AI
• User behavior with generative AI tools for scholarly research
• Cross-lingual information seeking behavior in Asia-Pacific contexts
• Information seeking and misinformation/disinformation detection by users
• Accessibility and inclusive design for diverse user groups
• Student and researcher information behavior in digital scholarship
• Health information seeking behavior and use of AI health tools
• Mobile-first UX in accessing digital collections

Digital library Infrastructure & Services:

• Infrastructures & development of Web Archives
• Applications and quality assurance of digital libraries
• Research data and open access
• Novel interfaces for digital library access
• Curation and preservation technologies in digital libraries
• Information organization support
• Novel applications for digital libraries
• Social networking and collaborative interfaces in digital libraries
• Personal information management and personal digital libraries
• Information service technologies in digital libraries
• Digital library/digital archive infrastructures
• Digital preservation and digital curation
• Research data infrastructures, management and use
• Open data initiatives and utilization

Scholarly Communication & Open Science:

• Access and usage of Web Archives
• Social, legal, ethical, and financial issues of Web Archives
• Collection development and discovery
• Higher education uses of digital collections
• Digital library education and digital literacy
• Digital scholarship and services
• Crowdsourcing and user-generated content
• Information work and digital libraries
• Participatory cultures and digital libraries
• Education with digital libraries
• Generative AI and the digital library user experience
• Researcher behavior in finding, using, and sharing research data New
• User perception and adoption of Open Access resources New
• Citation behavior and information use patterns in the AI era

Sustainable Computing:

• Green AI and energy-efficient computing
• Green data centers and cloud computing
• Internet of Things (IoT) and sustainable systems
• Hardware and system design for sustainability
• Software engineering for sustainability
• Sustainable computing metrics and assessment
• Smart cities and sustainable digital transformation
• Circular economy and IT sustainability
• AI for sustainability (AI for Good)
• Policy, ethics, and governance in sustainable computing
• Green AI adoption in developing countries
• Sustainable computing framework for AI literacy in education

CONFERENCE COMMITTEE

HOST: Faculty of Science, Khon Kaen University.

CO-HOST:

– Faculty of Humanities and Social Sciences, Khon Kaen University.

– Faculty of Humanities and Social Sciences, Prince of Songkla University, Pattani Campus.

– College of Computing Khon Kaen University.