Linked User-Driven Multidisciplinary Exploration Network

AIDA – AI-Driven Discovery Tools

 

The AI-Driven Discovery Assistant (AIDA) transforms research discovery from keyword searches to natural language conversations, directly answering researchers’ specific questions based on scientific literature. AIDA will integrate the White-Label Discovery Platform, allowing a seamless process from content discovery to AI-assisted analysis and conversation.

AIDA employs Generative AI and Retrieval Augmented Generation (RAG), leveraging open-source LLMs rather than commercial AI services. AIDA will build upon the GoTriple chatbot, an experimental implementation that, albeit with a limited number of documents (~3.200), proved to be very effective as a research tool.

A first implementation of AIDA will allow users to interact with their collection of documents, created by searching and browsing the content of the White-Label Discovery Platform. 

Project Deliverables

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Deliverable TitleDue DateDOI
D1.1 Quality Assurance and Risk ManagementMarch 2025
D1.2 DMPs and PoliciesJune 2025
D1.3 Synchronisation ReportOctober 2027
D1.4 Policy BriefingsJune 2026
D2.1 Final platform design and interoperability blueprintDecember 2026
D2.2 Final version of the FAIR Semantic Artefact Management PlatformDecember 2027
D3.1 User Needs and Personas ReportJune 2026
D3.2 Use Cases and plans and modelsDecember 2025
D3.3 Co-design of Services ReportJune 2026
D3.4 Co-design of LLM/AI-Human interaction reportJuly 2026
D3.5 User testing reportOctober 2027
D4.1 LUMEN Data Mesh Architecture Framework documentJune 2025
D4.2 LUMEN Metadata modelDecember 2025
D4.3 White Label Discovery platformDember 2026
D4.4 Discovery Platforms adaptations reportDecember 2027
D4.5 Advanced tools for Maths article productionDecember 2027
D4.6 Dashboard for Data ProvidersDecember 2027
D5.1 Initial Cloud Infrastructure Deployment BlueprintDecember 2025
D5.2 Documentation on EOSC Exchange alignment for LUMEN service providers June 2027
D5.3 Final release of interoperability and integration of services and toolsDecember 2027
D6.1 Report on the global architecture for automatically build software tools catalogueDecember 2025
D6.2 Technology ToolkitFebruary 2027
D6.3 Advanced visualisations and chatbot released and integrated into Discovery platformsOctober 2027
D6.4 Use cases testingOctober 2027
D7.1 Intermediate Report on Exploitation and Sustainability StrategyDecember 2025
D7.2 Final Report on Exploitation and Sustainability Strategy December 2027
D7.3 EOSC Innovation CentreDecember 2027
D8.1 Communication KitJune 2025
D8.2 Plan for communication and disseminationJuly 2025
D8.3 Update plan for communication and disseminationJuly 2026
D8.4 Second update plan for communication and disseminationJuly 2027
D8.5 Framework for communication guidelines and visual guidelines for white label platformDecember 2027

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