Projects

The vision of CREXDATA is to develop a generic platform for real-time critical situation management including flexible action planning and agile decision-making on streaming data of extreme scale and complexity. CREXDATA develops the algorithmic apparatus, software architecturesand tools for federated predictive analytics and forecasting under uncertainty. The envisioned...

The COVID-19 pandemic has starkly demonstrated the need for better disease intelligence that is capable of anticipating and identifying epidemic risks and outbreaks. This includes emerging and re-emerging mosquito-borne disease (MBD) risks. In the absence of effective vaccine solutions for most MBDs, attention has turned to vector management as an effective, but underutilized opportunity for...

ASPECT aims to setup and demonstrate a seamless climate information (SCI) system with a time horizon up to 30yr and accompanied with underlying research and using climate information for sectoral applications ( middle-ground level 1). The project's goal is to improve existing climate prediction systems and to merge their outputs across timescales together with climate...

Forest fires caused over 54 billion in economic losses in Europe between 2000 and 2017. Spain is one of Europe s most impacted countries with 219 large fires between 2011 and 2020 and damages worth 525 million. These numbers are inevitably bound to rise given the economic growth outlook, expected rise in population, and forecasted impact of climate change. The current...

A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in such domains, is the ability to forecast imminent situations and critical complex events ahead of time. EVENFLOW will...

Despite clear signs that the impacts of climate change are escalating, the global response has been inadequate. Traditional scientific efforts have fallen short of providing knowledge and tools that have been broadly applied in decision-making, and innovative approaches to knowledge translation are needed.

To catalyse climate action in Europe to protect public health,...

The project proposes a solution for making on-demand configurable digital twin engines for forecasting of environmental extremes at the sub-km scale. We name the solution Destination Earth On-Demand Extremes (DEODE). The core of our solution is to provide an on-demand workflow with co-design of high resolution predictions about extreme weather events combined with decision...

Our changing climate is already affecting millions of people across the world and will continue to do so in the coming decades. Successful adaptation strategies require the best available estimate of plausible future climate trajectories. Traditionally, this information has been mostly based on results from climate model projections that follow different future socio-economic...

With present computational capabilities and data volumes entering the Exascale Era, digital twins of the Earth system will be able to mimic the different system components (atmosphere, ocean, land, lithosphere) with unrivalled precision, providing analyses, forecasts, and what-if scenarios for natural hazards and resources from their genesis phases and across their temporal...

Extreme climatic events, environmental degradation and socio-economic inequalities exacerbate the risk of infectious disease epidemics. We lack the evidence-base to understand and predict the impacts of extreme events and landscape changes on disease risk, leaving communities in climate change hotspots vulnerable to increasing health threats. This is in part due to a lack of...