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Projectes de recerca competitius finançats per entitats externes

Critical Action Planning over Extreme-Scale Data

Acrònim CREXDATA
Títol projecte Critical Action Planning over Extreme-Scale Data
Referència externa 101092749
Descripció/abstract The vision of CREXDATA is to develop a generic platform for real-time critical situation management including flexible action planning and agile decision making over streaming data of extreme scale and complexity. CREXDATA develops the algorithmic apparatus, software architectures and tools for federated predictive analytics and forecasting under uncertainty. The envisioned framework boosts proactive decision making providing highly accurate and transparent short- and long-term forecasts, explainable via advanced visual analytics and accurate, real-time, augmented reality facilities. To achieve its vision, CREXDATA will develop a next generation Prediction-as-a-Service (PaaS) system where action planners will easily register their multimodal data stream sources and compute resource federations and graphically design predictive analytics workflows including (i) data ingestion, fusion, (ii) simulation, (iii) federated learning for pattern extraction and (iv) multiresolution forecasting operators. Decision makers will receive back extremely precise forecasted representations of future worlds reasoned about using transparent AI facilities and with reduced complexity via visual analytics and intuitive augmented reality provided on-site or remotely. The CREXDATA architecture incorporates 10 exploitable assets based on cutting edge research, which will significantly outperform the current state of practice in respective fields. CREXDATA will be evaluated in three use cases where real-time critical action planning and timely decision making are of utmost importance: i) maritime domain, for forecasting hazardous situations at sea and impose safer navigational routes, ii) weather emergency management, to allow authorities and first responders proactively act so as to avoid or reduce the impact and speed up recovery from natural disasters, and iii) health crisis management, to limit pandemic outbreaks and come up with non-pharmaceutical means of patient treatment.
Entitat finançadora EUROPEAN COMMISSION
Import concedit 288.925,00 €
Logos
Convocatòria HORIZON-CL4-2022-DATA-01: World Leading Data and Computing Technologies 2022. Topic: HORIZON-CL4-2022-DATA-01-01: Methods for exploiting data and knowledge for extremely precise outcomes (analysis, prediction, decision support), reducing complexity and presenting insights in understandable way. Type of Action: HORIZON-RIA HORIZON Research and Innovation Actions
Data inici 01-01-2023
Data fi 31-12-2025
Departament/IP Enginyeria Informàtica i Matemàtiques/ARENAS MORENO, ALEJANDRO
Web https://cordis.europa.eu/project/id/101092749
Paraules clau Explainable AI; Federated Learning; Multi-Resolution Complex Event Forecasting; Augmented Reality; Multilinguality; Visual Analytics; Analytics-as-a-service
Àmbit Europeu
Estat Finalitzat