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
Recap of CREXDATA activities
As we enter the final stretch of 2023, let’s have a recap and highlight some activities so far. CREXDATA joined hands with partners like City of Dortmund Fire Department (FDDO), Universität Paderborn (UPB), and Deutsches Rettungsrobotik Zentrum (DRZ) and participated...
Lessons from Greece’s Devastating Floods CREXDATA Project’s Relevance Highlighted
Thessaly, GREECE - As Greece grapples with one of its most devastating natural calamities in recent times, the significance of the CREXDATA project has come sharply into focus. As days of torrential rains lead to the flooding of vast swathes of agricultural land,...
Ro-Boat Race: A Challenge of Autonomous Robotics at Sea
We are thrilled to announce the Ro-Boat Race, an international university-level competition co-organized by our partners, MarineTraffic and the University of the Aegean. This unique event challenges teams to design and develop innovative autonomous robotics systems...
TEMA High-level webinar: AI4Sustainability
“How can artificial intelligence be used to increase societal resilience to climate changes and extreme natural events? “ The TEMA High-level webinar, themed “AI4Sustainability: How can artificial intelligence be used to increase societal resilience to climate...
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...