CREXDATA aims to develop a versatile platform for real-time critical situation management, adaptive action planning, and agile decision-making powered by 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
From Theory to Practical Applications: Contributing to the Evolution of the European Maritime Technology Landscape
The University of the Aegean has made significant contributions to the field of autonomous maritime systems and digital vessel technologies, resulting in a series of innovative developments and impactful research outcomes. One of the key initiatives has been the setup...
A New AI Framework for Visual Analysis Empowers Experts to Make Critical Decisions
As Artificial Intelligence (AI) increasingly handles extreme-scale data in high-stakes environments, the EU-funded CREXDATA project has announced a significant breakthrough in making these complex models more transparent and trustworthy. Researchers from the project...
New AI-Driven Simulation Tools Set to Revolutionize Pandemic Response
Within the Health Crisis Use Case, the objective of the epidemiological scenario was to analyse the spatiotemporal dynamics of epidemic processes. To this end, an epidemic simulator, EpiSim.jl[1], was developed to enable users to simulate and analyse the epidemic...
CREXDATA at the Global Initiative on Resilience to Natural Hazards through AI Solutions
The Telecommunications Standardization Bureau (TSB) of the International Telecommunication Union (ITU), in collaboration with the European Commission's DG ECHO, is organising a workshop on “Resilience to Natural Hazards through AI Solutions” that will take place in...
CREXDATA presentation at the 36th Parallel CFD international conference 2025
The Parallel Computational Fluid Dynamics (ParCFD) 2025 Conference is the 36th event in the ParCFD series. ParCFD is an annual international forum devoted to the discussion of recent developments and applications of parallel computing in the field of Computational...





