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EU funding (€10M): EXPeriment driven and user eXPerience oriented analytics for eXtremely Precise outcomes and decisions Hor 25 Nov 2022 EU Research and Innovation programme "Horizon"
Overview
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EXPeriment driven and user eXPerience oriented analytics for eXtremely Precise outcomes and decisions
Extreme data characteristics (volume, speed, heterogeneity, distribution, diverse quality, etc.) challenge the state-of-the-art data-driven analytics and decision-making approaches in many critical domains such as crisis management, predictive maintenance, mobility, public safety, and cyber-security. At the same time, data-driven insights need to be extremely timely, accurate, precise, fit-for-purpose, and trustworthy, so that they can be useful. ExtremeXP will handle the complexity of matching extreme needs with complex analytics processes (i.e., processes that involve and combine ML, data analysis, simulation and visualization components) by placing the end user at the centre of complex analytics processes and relying on user intents and running experiments (i.e., trial and error) to prune the vast solution space of possible analytics workflows and configurations i.e., “variants”. Its main goal is to create a next generation decision support system that integrates novel research results from the domains of data integration, machine learning, visual analytics, explainable AI, decentralised trust, knowledge engineering, and model-driven engineering into a common framework. The overarching idea of the framework is to optimise the properties of a complex analytics process that the end user cares about (e.g., accuracy, time-to-answer, specificity, recall, precision, resource consumption) by associating user profiles to computation variants. The framework is envisioned as modular and extensible, orchestrating different services around an Experimentation Engine: Analysis-aware Data Integration, Extreme Data & Knowledge Management, User-driven AutoML, Transparent & Interactive Decision Making, and User-driven Optimization of Complex Analytics. The framework will be validated in five pilot demonstrators.
Funded Companies:
| Company name | Funding amount |
| Bournemouth University | ? |
| Activeeon | €573,750 |
| Airbus DS SLC | €562,538 |
| Athina-Erevnitiko Kentro Kainotomias Stis Technologies TIS Pliroforias, TON Epikoinonion Kai TIS Gnosis | €814,672 |
| Bitsparkles | €420,000 |
| CS Group - France | €589,375 |
| Deutsches Forschungszentrum FUR Kunstliche Intelligenz GmbH | €431,375 |
| Erevnitiko Panepistimiako Institouto Systimaton Epikoinonion Kai Ypologiston | €536,875 |
| Fundacio Privada I2Cat, Internet i Innovacio Digital A Catalunya | €525,400 |
| Ideko S Coop | €362,500 |
| Interactive 4D | €473,750 |
| Intracom Single Member SA Telecom Solutions | €662,500 |
| Ithinkupc SL | €0.00 |
| Moby X Software Ltd. | €412,500 |
| Sintef AS | €621,033 |
| Stichting Amsterdam UMC | €0.00 |
| Stichting VU | €669,978 |
| Technische Universiteit Delft | €831,076 |
| Universitat Politecnica de Catalunya | €746,875 |
| Univerza V Ljubljani | €354,625 |
| Univerzita Karlova | €423,000 |
Source: https://cordis.europa.eu/project/id/101093164
The filing refers to a past date, and does not necessarily reflect the current state. The latest known state is available on the following page: Bournemouth University EDUCATIONAL CORPORATION, Poole.
