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