2026 the 9th International Conference on Information Management and Management Science (IMMS 2026) warmly invite scholars, researchers, and industry experts to organize special sessions related to conference themes. Special sessions provide excellent platforms for focused discussions, academic collaboration, and emerging interdisciplinary topics. We welcome active participation from young scholars and research teams worldwide.
Special Session 1
Generative AI and Large Language Models in GLAMs: Human-Centered, Evidence-Based, and Value-Sensitive Innovation
Organizers
Assoc. Prof. Siyi Wang
Shanghai University
China
Assoc. Prof. Xiaoyu Chen
Shanghai University
China
Dr. Yaming Fu
Shanghai University
China
Generative AI and large language models (LLMs) are rapidly transforming the ways in which galleries, libraries, archives, museums, and related cultural heritage institutions organize, interpret, communicate, and reuse cultural knowledge. While these technologies create new possibilities for intelligent knowledge services, museum education, digital curation, multimodal heritage interpretation, and public engagement, they also raise critical questions about evidential grounding, cultural sensitivity, interpretive authority, user trust, and responsible governance. This Special Session aims to bring together interdisciplinary research on the design, evaluation, and application of generative AI and LLM-enabled systems in GLAM contexts. It particularly welcomes studies that move beyond technical implementation to examine how AI-generated cultural content can be made reliable, traceable, context-aware, and aligned with institutional values and user needs. The session will foreground human-centered, evidence-based, and value-sensitive approaches to AI innovation in GLAMs, including perspectives from information science, digital humanities, museum studies, knowledge organization, human-computer interaction, archival studies, and heritage studies. By focusing on both technological affordances and institutional practices, this session seeks to advance scholarly understanding of how generative AI can support sustainable cultural knowledge production, inclusive heritage communication, and meaningful user engagement. We invite theoretical, empirical, design-oriented, and evaluation-focused submissions that contribute to responsible AI adoption in cultural heritage and information institutions.
The scopes as following:
1. Generative AI and LLM applications for GLAM knowledge services, cultural heritage interpretation, and public engagement.
2. Evidence-based and provenance-aware generation of cultural heritage content.
3. Knowledge organization, metadata enrichment, semantic modeling, retrieval-augmented generation, and knowledge graph approaches for GLAM AI systems.
4. Human-centered design, user experience, trust, and evaluation of AI-enabled GLAM services.
5. Museum education, digital learning, and visitor engagement supported by generative AI
6. Ethical, cultural, and governance issues in GLAM AI, including value alignment, bias, inclusiveness, accountability, and institutional responsibility.
Submission Link Template in Word Abstract Template
Notice
All accepted papers in Special Sessions will undergo the same peer-review process as regular submissions. Upon acceptance, they will be published in the official conference proceedings, which will be submitted to the same indexing services as regular papers.
Authors of papers accepted in Special Sessions are required to register as those in the regular submission.