Critical Action Planning over Extreme-Scale Data

Akronym

CREXDATA

Bidragets beskrivning

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.
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Startår

2023

Slutår

2025

Beviljade finansiering

318 875 €
Participant
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

Beviljat belopp

8 698 105 €

Finansiär

Europeiska unionen

Typ av finansiering

HORIZON Research and Innovation Actions

Ramprogram

Horizon Europe (HORIZON)

Utlysning

Programdel
Digital, Industry and Space (11704)
Advanced Computing and Big Data (11711)
Tema
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-01-01)
Utlysnings ID
HORIZON-CL4-2022-DATA-01

Övriga uppgifter

Finansieringsbeslutets nummer

101092749

Identifierade teman

computer science, information science, algorithms