Projects

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,...

Deep learning (DL) is widely used to solve classification problems previously unchallenged, such as face recognition, and presents clear use cases for privacy requirements. Homomorphic encryption (HE) enables operations upon encrypted data, at the expense of vast data size increase. RAM sizes currently limit the use of HE on DL to severely reduced use cases. Recently emerged...

Biomaterials in healthcare span almost all medical fields, ranging from recognised materials to high-innovative innovative and multifunctional biomaterials. One of the main challenges is to provide accessible and well-structured data on biomaterials for all relevant practitioners and user groups. BIOMATDB+ aims to create an advanced database for biomaterials providing...

As our planet heats up due to climate change, outbreaks of zoonotic diseases – diseases that spread from animals to humans – are increasing and expanding to new parts of the world, in particular Europe. Warmer temperatures, more variable rainfall, and the loss of biodiversity influence the survival and spread of zoonotic pathogens, and the reproduction and geographic location of...

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...

Seasonal Forecasts are critical tools for early-warning decision support systems, that can help reduce the related risk associated with hot or cold weather and other events that can strongly affect a multitude of socio-economic sectors. Recent advances in both statistical approaches and numerical modeling have improved the skill of Seasonal Forecasts. However, especially in...

The Climate Variability and Change Group performs fundamental research to further our