Usta, Ecenaz

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Usta, Ecenaz

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    Item type:Publication,
    Building an AI-CRIS Platform: Multilingual, Contextual, and Predictive Research Data Access
    (euroCRIS, 2026-05-22)
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    Current Research Information Systems (CRIS) have become essential tools for universities and research institutions to manage, analyze, and disseminate information about research activities, outputs, and collaborations. Traditional CRIS platforms provide structured repositories for publications, projects, grants, and researcher profiles, supporting reporting obligations and strategic decision-making. However, these systems often operate retrospectively and rely on manual data retrieval, limiting their ability to provide dynamic, context-aware, and predictive insights. The increasing volume, heterogeneity, and complexity of research data require intelligent solutions that not only organize information but also enable proactive knowledge discovery and decision support. Addressing these challenges, this study presents the development of an AI-enhanced Current Research Information System (AI-CRIS), named GCRIS AI, implemented for the İzmir Institute of Technology.