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
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...
Advancing Research Excellence: CREXDATA Celebrates Milestones in Graduate Work
The CREXDATA project demonstrates its strong academic impact, with a series of successful theses completed across partner universities and research institutes. Eleven master’s and three PhDs theses highlight the project’s commitment to advancing cutting-edge research...
Integrating Agent-Based Models and HPC Workflows: A New Multiscale Approach to Simulating Lung Infection Dynamics
Crexdata has focused on two main scenarios for modelling health crisis: Epidemiological Modelling and Multiscale Infection Scenario. In this case, the Multiscale Infection Scenario, led by Barcelona Supercomputing Center partner, combines agent-based cellular...
CREXDATA BOOTH AT EBDVF’25
The European Big Data Value Forum (EBDVF) brings together industry professionals, business developers, researchers and policy-makers from all over Europe and other regions of the world to advance policy actions and industrial and research activities in the areas of...
From Crisis to Action: How AI and Data Technologies Are Closing the Reaction Gap at “Moment Zero.”
Cities face fast-moving crises like wildfires and floods, yet citizens often remain confused in the critical “moment zero” before response begins. This session gathers tech creators, first responders, and officials to explore how AI, digital twins, and predictive...