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
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CREXDATA at the 32nd ACM International Conference on Information and Knowledge Management
The Conference on Information and Knowledge Management (CIKM) provides an international forum for presentation and discussion of research on information and knowledge management, as well as recent advances on data and knowledge bases. The purpose of the conference is...
CREXDATA Showcases Progress at the Disaster Competence Network Austria Symposium
Leoben, Austria – The innovative scope and ambitions of the CREXDATA project made a significant mark at the recent Disaster Competence Network Austria (DCNA) symposium held on the 11th of September in Leoben, Austria. Dr.-Ing. Jens Pottebaum, a key figure in the...