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EU funded research project aims to advance action planning with extreme-scale data

The CREXDATA project aims to push the frontiers of analytics, prediction, simulation and visualisation to provide extremely precise, timely and useful information that supports human and automated decision-making in critical situations. Through the envisioned prediction-as-a-service platform, authorities will have access to the tools they need to confidently prepare for critical situations. Weather emergency, health crisis and maritime cases will illustrate the utility of the technology created by the project.

CREXDATA (Critical Action Planning over EXtreme-Scale DATA) is a Horizon Europe project that will push the frontiers of analytics, prediction, simulation and visualisation to provide extremely precise, timely and useful information that support human and automated decision-making in critical situations. 

CREXDATA launched on 1 January 2023. Its fifteen-partner consortium kicked-off the project in Athens, Greece.

Real-time extreme-scale data provides an opportunity to inform current critical action planning practices in applications such as, health crises, weather-induced emergencies, and maritime forecasting. However, current practices are latent and depend on offline methods that rely on historic good practices rather than quality and up-to-date data. These practices are often reactive and force decision makers to rely on comparatively limited data and do not take advantage of European data sources.

CREXDATA will exploit extreme data to create truthful simulation models and tools to mimic the properties of real-life extreme scale data streams that express normal and critical conditions. These simulations and tools will be streamed into real-time predictive learning models that will be trained as information enters. 

The resulting Prediction as a Service (PaaS) will allow action planners to easily register their various data stream sources and receive user-friendly predictive analysis workflows, supported by transparent AI techniques and Augmented Reality, that will facilitate decision-making. These workflows will provide flexible, trustworthy and fit-for-purpose solutions that respond to users’ needs.

Three use cases will evaluate CREXDATA technology:

  • The weather emergencies use case will work to improve situation awareness in emergencies related to vegetation fires and floods to inform the decision-making of civil protection authorities.
  • The health crisis use case will integrate epidemiological and multi-scale simulation models using large-scale machine learning to develop a generalizable and flexible platform that will support authorities’ ability to design strategies for health crisis responses.
  • The maritime use case will develop the first weather and emergency routing and route forecasting solutions that will be performed for all vessels of a fleet simultaneously.

The CREXDATA project is funded under Horizon Europe Research and Innovation Action number 101092749. The Technical University of Crete leads this 15-partner consortium composed of: National Center for Scientific Research ‘DEMOKRITOS’, Universitaet Paderborn, RapidMiner GMBH, MarineTraffic, Barcelona Supercomputing Center, Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V., Consiglio Nazionale delle Ricerche, Hydrometerological Innovative Solutions, Deutsches Rettungsrobotk-Zentrum e.V., Fire Department Dortmund/Stadt Dortmund, Universidad Rovira i Virgili, Finnish Meterological Institute, Disaster Competence Network Austria, Finland Ministry of Interior.


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