Critical Action Planning over Extreme-Scale Data
Acronym
CREXDATA
Description of the granted funding
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.
Show moreStarting year
2023
End year
2025
Granted funding
DEUTSCHES RETTUNGSROBOTIK-ZENTRUM E.V. (DE)
441 875 €
Participant
DISASTER COMPETENCE NETWORK AUSTRIA (AT)
332 993.75 €
Participant
POLYTECHNEIO KRITIS (EL)
1 196 250 €
Coordinator
MARINTRAFIK OPEREISONS ANONYMI ETAIREIA PLIROFORIKIS (EL)
429 375 €
Participant
STADT DORTMUND (DE)
436 092.5 €
Participant
RAPIDMINER GMBH (DE)
1 124 250 €
Participant
Hydrometeorological Innovative Solutions (ES)
370 312.5 €
Participant
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION (ES)
915 000 €
Participant
UNIVERSITAET PADERBORN (DE)
660 000 €
Participant
PANEPISTIMIO AIGAIOU (EL)
229 375 €
Participant
UNIVERSITAT ROVIRA I VIRGILI (ES)
288 925 €
Participant
"NATIONAL CENTER FOR SCIENTIFIC RESEARCH "DEMOKRITOS" (EL)
794 375 €
Participant
CONSIGLIO NAZIONALE DELLE RICERCHE (IT)
349 250 €
Participant
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. (DE)
632 250 €
Participant
Amount granted
8 698 105 €
Funder
European Union
Funding instrument
HORIZON Research and Innovation Actions
Framework programme
Horizon Europe (HORIZON)
Call
Programme part
Digital, Industry and Space (11704 Advanced Computing and Big Data (11711 )
Topic
Methods for exploiting data and knowledge for extremely precise outcomes (analysis, prediction, decision support), reducing complexity and presenting insights in understandable way (RIA) (HORIZON-CL4-2022-DATA-01-01Call ID
HORIZON-CL4-2022-DATA-01 Other information
Funding decision number
101092749
Identified topics
computer science, information science, algorithms