2026年度 理研TRIPハッカソン 公開シンポジウム

13:30 講演1

• 講師：Chris Mungall（米国ローレンス・バークレー国立研究所）
• 演題: The Monarch Initiative’s Data Ecosystem: Curating Mechanisms to Elucidate Human Disease
• 要旨: This talk provides an overview of the Monarch Initiative’s data ecosystem, which connects diverse biomedical data through ontologies and knowledge graphs. It highlights recent efforts to use agentic AI methods to curate and integrate a broad range of knowledge -- and knowledge gaps -- into the Monarch Disease Mechanisms Knowledge Base.

14:15 講演2

• 講師：Tarcisio Mendes de Farias （SIBスイス・バイオインフォマティクス研究所）
• 演題: Bridging Knowledge Representation and Generative AI for Scientific Data Exploration
• 要旨: This talk introduces an approach that combines knowledge representation with generative AI to enable trustworthy scientific data exploration. It presents a challenge-winning question-answering system, already in production, that spans distributed repositories and facilitates data discovery and retrieval, highlighting its accuracy, speed, and cost-effectiveness. Finally, it offers insights into a related system under development for the European Open Science Cloud (EOSC).

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