Summary：**Heartfelt Congratulations: Min Sook Park & Team Win Prestigious ASIS&T Poster Award****Introductio

**Heartfelt Congratulations: Min Sook Park & Team Win Prestigious ASIS&T Poster Award**

**Introduction**
The Association for Information Science and Technology (ASIS&T) announced this week that Min Sook Park, alongside her interdisciplinary research team, has earned the organization’s coveted Poster Award. The accolade recognizes outstanding visual communication of scholarly work at the annual ASIS&T meeting, where hundreds of submissions compete for visibility. Park’s poster, titled “Adaptive Metadata Frameworks for AI‑Driven Knowledge Repositories,” stood out for its clarity, innovative design, and practical implications for information professionals navigating rapidly evolving data ecosystems.

**Key Developments**
Park’s team, drawn from the Department of Information Systems at Seoul National University and collaborators at the Korea Advanced Institute of Science and Technology, spent six months refining a metadata schema that automatically adjusts to shifting user contexts. The prototype integrates machine‑learning classifiers with traditional taxonomy structures, enabling real‑time relevance scoring without manual re‑tagging. Judges highlighted the poster’s effective use of infographics, concise narrative flow, and a live demo QR code that allowed conference attendees to interact with a sandbox version of the framework. The win marks the first time a Korean‑led group has secured the top poster prize in the award’s fifteen‑year history.

**Industry Analysis**
The recognition underscores a growing trend within information science: the convergence of artificial intelligence and classical cataloguing practices. As organizations grapple with exploding volumes of unstructured data, adaptive metadata solutions offer a pathway to maintain discoverability while reducing curatorial overhead. Analysts note that ASIS&T’s emphasis on visual storytelling reflects a broader shift toward multimodal dissemination—where research impact is measured not only by citation counts but also by accessibility and user