BOBCATSSS 2025

The BOBCATSSS conference is an international annual academic event focusing on library and information science. It is primarily organized by and from students from various universities across Europe. Theme: Artificial Intelligence in Library and Information Science: Exploring the Intersection The rapid advancements in Artificial Intelligence (AI) are reshaping the landscape of Library and Information Science (LIS), offering unprecedented opportunities and posing new challenges. This call for communication seeks to explore the multifaceted relationship between AI and LIS, aiming to gather a wide range of scholarly contributions, practical insights, and visionary outlooks at the intersection of these two dynamic fields. The conference aims to provide a platform for students, researchers, and professionals within the library and information science field to present their research, exchange ideas, and discuss emerging trends and challenges in the industry. We invite them to submit their original work, case studies, theoretical explorations, and practical applications. Submissions are encouraged to address, but are not limited to, the following subthemes: AI Applications in Libraries and Information Centers: Implementation of chatbots and virtual assistants AI in cataloging, classification, and metadata generation Ethical Considerations and Policy Implications: Privacy and data protection in AI-enabled services Developing ethical guidelines for AI use in LIS Emerging Technologies and Future Trends: Impact of AI on digital scholarship and open science AI in knowledge discovery and data mining AI and Information Literacy: Educating LIS professionals and users in AI competencies Critical assessment of AI-generated content Strategies for fostering digital literacy in an AI-driven world AI and Information Management: Integrating AI technologies into information management systems Ethical considerations in using AI for information management Leveraging AI for information retrieval and knowledge discovery Ensuring data privacy and security in AI-driven information management applications AI-Driven Transformation of Library Services and Operations: Enhancements in user experience and engagement AI in collection development and access AI and Knowledge Management: Leveraging AI for knowledge discovery, sharing, and innovation AI-driven approaches for knowledge representation and retrieval Open Category: We also welcome submissions that may not fit neatly into the above categories but contribute meaningfully to the broader LIS study. This could include comparative studies, historical perspectives on AI and LIS, interdisciplinary research, or speculative design for future libraries. Competitive Intelligence Misinformation and Democratic Life Digital Transformation Inclusion and Diversity Information and Fight Against Climate Change etc.