CREXDATA will develop a generic platform for real-time critical situation management, flexible action planning and agile decision using extreme scale and complex data
OBJECTIVES
Develop an extreme-scale data ingestion and fusion toolbox and realistic simulation models and tools
Create real-time predictive knowledge
and forecasts including federated
learning, complex event forecasting
under uncertainty and techniques for
Prediction-as-a-Service
Reduce perceived
complexity via
graphical workflow
design and visual
anlaytics coupled
with eXplainable AI approaches and
augmented reality
under uncertainty
USE CASES
Weather
emergencies
use case
Ingest and fuse extreme data to
improve situation awareness that
informs decisions in weather emergency
scenarios
Health crisis
use case
Integration of epidemiological and
multi-scale simulation models with machine learning to support
decision-making in health crises
Maritime
use case
Real-time route forecasting to
ensure safeter navigational routes
CREXDATA Hosts Successful 6th Plenary Meeting Virtually
On 4th September 2024, the CREXDATA consortium gathered for its 6th plenary meeting. Held virtually, the meeting brought together project partners to review progress, exchange insights, and plan the next steps in this Horizon Europe-funded initiative. The plenary...
First evaluation in CREXDATA: What’s the feedback of our end users?
The CREXDATA project, funded by the European Union's Horizon Europe programme, has recently conducted successful field trials in Innsbruck, Austria, and Dortmund, Germany. These trials are a significant milestone in our mission to leverage cutting-edge data analytics,...
CREXDATA Project Wins Best Poster Prize at vfdb 2024 Annual Conference
The CREXDATA project, a groundbreaking initiative under the European Union's Horizon Europe framework, has been awarded the Best Poster Prize at the 2024 Annual Conference of The Association of the German Fire Service (vfdb). The honored poster, titled "Situation...
CREXDATA & TEMA at EBDVF 2024
The CREXDATA and TEMA projects were presented at the European Big Data Value Forum (EBDVF) 2024 in Budapest. During the session "Emergency Management: Challenges and Solutions," project experts showcased the potential of AI and Big Data in critical action planning...
Course at ACM Summer School on Data Science 2024: Can computers understand what is happening? An introduction to complex event recognition
Periklis Mantenoglou and Alexander Artikis, esteemed researchers contributing in CREXDATA, presented an extensive 6-hour course on Complex Event Recognition (CER) during the ACM Summer School on Data Science. Held at the National Centre for Scientific Research...