Real-time
critical
management
of extreme
scale and
complex data

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

Crexdata workshop at DroneHorizon 2025

Crexdata workshop at DroneHorizon 2025

DroneHorizon 2025 is the first edition of a multi-year European collaboration between three leading port and innovation ecosystems: the Port of Rotterdam, the Port of Antwerp-Bruges, Hamburg Port Authority, DronePort Rotterdam, and The Beacon. Taking place on 4...

CREXDATA shows a demo at the VLDB 2025

CREXDATA shows a demo at the VLDB 2025

The Very Large Data Bases (VLDB) is a premier annual international forum for data management, scalable data science, and database researchers, vendors, practitioners, application developers, and users. The forthcoming VLDB 2025 conference is poised to deliver a...