ExtremeXP - EXPerimentation driven and user eXPerience oriented analytics for eXtremely Precise outcomes and decisions

The ExtremeXP project is geared towards developing advanced analytical processes that prioritize the user's needs to cater to critical systems such as crisis management, public security, and cyber security. Its primary objective is to design a cutting-edge decision support system that incorporates the latest research findings into a unified framework in various domains including data integration, machine learning, visual analytics, interpretable artificial intelligence, decentralized trust, knowledge engineering, and model-based engineering. UL FRI will lead Work Package 2, which aims to devise conceptual frameworks for analytics that draw from big data experiments.

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