The list of international projects SAS
Institute of Measurement Science
ANTICIPATE: extended-range multi-hazard predictions and early warnings
ANTICIPATE: dlhodobé (rozšírené) predpovede viacerých typov rizík a včasné varovania
| Duration: |
29.10.2025 - 28.10.2029 |
| Program: |
COST |
| Project leader: |
Ing. Košta Radoslav |
| Annotation: | Operational extreme weather forecasts and early warnings are generally limited to timescales of up to around 10 days and to predicting single events, such as flooding or a heatwave. However, a new generation of experimental ‘extended-range’ weather predictions that extend up to 46 days have been developed over the last decade by the world’s leading meteorological centres. A key motivation of exploring this prediction timescale is to bridge the gap between timescales, incorporate the latest ‘multi-hazard’ approaches, and improve early warnings and anticipatory actions. Currently, however, the extended-range prediction and the multi-hazard communities are largely disconnected. To date, there has been no coordinated effort to build a network that connects these disciplines and communities towards the development of operational systems. However, it is essential that these communities come together to explore windows of opportunity and instigate a step-change in the way forecasts are designed, produced and used. To address this challenge, ANTICIPATE will create the first pan-European network focused on extended-range multi-hazard predictions and warnings. ANTICIPATE will bring together existing but largely disconnected disciplines, operational practitioners and stakeholders (including extreme weather forecasting, extended-range prediction and climate dynamics, disaster risk reduction, multi-hazards, and communications) to drive forward advancements in the science, training, communication and application that will support next generation of effective early warnings that enable preparedness and action across hazards and forecasting lead times. ANTICIPATE will provide vital leadership in multi-hazard predictions and warnings, address gaps and challenges, and educate the next generation of forecasters and communicators for societal benefit. |
European Doctoral Network for Neural Prostheses and Brain Research
Európska doktorandská sieť pre neurálne protézy a výskum mozgu
| Duration: |
1.1.2024 - 31.12.2027 |
| Program: |
Horizon Europe |
| Project leader: |
Ing. Mgr. Rosipal Roman DrSc. |
| Annotation: | DONUT, European Doctoral Network for Neural Prostheses and Brain Research has the mission to provide a multidisciplinary and inter-sectoral network for young talented researchers. The ambition of the project is to serve as a springboard for the expansion of EU partners into the fast-developing Brain-Computer Interface (BCI) technology and connected scientific disciplines. The DN will leverage the complementary expertise of 7 academic beneficiaries and 8 associated partners from 8 EU countries, to guide its 10 doctoral candidates (DCs) to address and solve deep problems in brain research, development of different BCI applications and systems with the latest technological advancements.
The proposed DN will integrate existing research in BCI systems to make it more user-friendly, suitable for different types of potential end-users and for modern medical diagnostics. The DN would also provide excellent opportunities for career development of young researchers under the umbrella of German doctorate graduate school PK NRW (Graduate School for Applied Research in North Rhine-Westphalia, with over 180 participating professors), regularly offering specialised trainings and courses including Scientific Research Writing, Academic Presentation Skills, etc. Early scientific independence is one of key goals of training programmes.
It is the ambition of DONUT to build a strong and lasting network not only between the DCs but also between the participating beneficiaries and associated partners. DONUT researchers will benefit of a dense network of contacts with scientists acquired during network-wide training events, to improve their career prospects in the European and worldwide innovation sector, having the opportunity to become scientists employable in both the industrial and academic sectors. The participation of 7 industrial participants in research and training programmes will guarantee extensive inter-sectoral experience for the trainees and maximise the impact.
Project Partners:
Rhine-Waal University of Applied Sciences (HSRW), Germany
Radboud University (RU), Netherlands
Katholieke Universiteit Leuven (“KU Leuven”) (KUL), Belgium
Universidad Miguel Hernández de Elche (UMH), Spain
Aarhus University (AU), Denmark
Kauno technologijos universitetas (KTU), Lithuania
Institute of Measurement Science, Slovak Academy of Sciences (IMSAV), Slovakia |
Precision Medicine for Cardiac Arrest
Presná medicína pri zástave srdca
| Duration: |
13.10.2025 - 12.10.2029 |
| Program: |
COST |
| Project leader: |
Ing. Švehlíková Jana PhD. |
| Annotation: | Out of hospital cardiac arrest (OHCA) is a major health problem occurring in individuals of all sexes, ethnicities, and socioeconomic positions. OHCA is responsible for approximately one third of deaths in people aged under 50 years, yet our understanding of OHCA in this age group is sparse. Evidence suggests that inherited cardiac diseases underlie a significant proportion of OHCA cases in younger people, but we do not fully know the distribution of causes of OHCA which makes treatment and management of OHCA victims challenging. The PREMEDICARE Action brings together a multi-disciplinary group of experts to better understand the causes of OHCA and its long-term effects with the aim of facilitating the development and adoption of precision medicine strategies to alleviate the burden of OHCA in people under 50-years throughout Europe. Members of the PREMEDICARE network will work together to develop standardised procedures for better recording of data to enable identification of at-risk individuals across Europe, better understand geographical differences in the treatment of young OHCA patients and facilitate better management of long-term limitations linked to OHCA survival. The ultimate goal of the Action is to establish the tools and resources necessary to support the uptake and use of precision medicine approaches for the treatment and management of OHCA in the clinic. |
Precision Neuromodulation for Chronic Pain: Integrating Functional MRI and Focused Ultrasound for Personalised Treatment
Presná neuromodulácia chronickej bolesti: Integrácia funkčnej magnetickej rezonancie a fokusovaného ultrazvuku pre personalizovanú liečbu, skratka „NeuroPain“
Seasonal-to-decadal climate predictability in the Mediterranean: process understanding and services
Sezónna až dekádová predpovedateľnosť klímy v Stredomorí: pochopenie procesov a implementácie
| Duration: |
8.10.2024 - 7.10.2028 |
| Program: |
COST |
| Project leader: |
RNDr. Krakovská Anna CSc. |
| Annotation: | Climate forecasting has enormous potential influence in different socio-economic sectors, such as agriculture, health, water management, and energy. Actionable climate information is particularly relevant at seasonal-to-decadal timescales, where predictability is linked to slow fluctuations of the system such as those in the ocean, sea-ice and land-surface, thus bridging weather/sub-seasonal predictions (mainly relying on atmospheric initial condition) with future projections (mainly based on atmospheric radiative forcing). Seasonal-to-decadal climate forecasting has progressed considerably in recent years, but prediction skill over the Mediterranean is still limited. Better understanding the drivers of regional climate anomalies as well as exploring untapped sources of predictability constitute a much-needed and timely effort.
Climate variability and change pose significant challenges to society worldwide. As a result, there is a growing demand to develop improved climate information products and outlooks to help decision making and sustainable development. This is particularly critical in the Mediterranean, a region sensible to natural hazards (e.g. droughts, floods) and vulnerable to climate stress (i.e. global warming). Such an improvement can only be achieved by coordinating efforts of research groups with different expertise and trans-disciplinary. In this Action, both the scientific challenge and societal challenge will be addressed by establishing a network of experts on climate variability, predictability, prediction and application. The Action will provide support to increase awareness and capability, and guidance to suitably evolve climate knowledge into services. Specific objectives include cross-cutting training and collaboration, empowering national hydro-meteorological agencies, and fostering a continuous communication between climate researchers and stakeholders.
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Stochastic Differential Equations: Computation, Inference, Applications
Stochastické diferenciálne rovnice: výpočty, inferencia, aplikácie
| Duration: |
26.9.2025 - 25.9.2029 |
| Program: |
COST |
| Project leader: |
MSc. Krakovská Hana |
| Annotation: | Stochastic differential equations (SDEs) are used to model phenomena under the influence of random noise and uncertainty and are useful in an extraordinary range of applications. In health, SDE models of tumour growth can help medical practitioners design interventions. In clean energy, they can model airflow around wind turbine blades, and enable multiscale modelling of entire wind farms and energy grids by representing small scale effects as noise. In computing, SDEs can be used to develop training algorithms for deep learning algorithms.
The development and effective deployment of stochastic models requires input from a broad range of specialist experts: applied modellers, theoretical mathematicians, numerical analysts, and statisticians, all guided by the needs of stakeholders in academia and industry. However, in the current European research landscape, there is no large scale framework enabling these communities to interact, and opportunities for goal-driven research progress that is informed by all relevant expertise are being lost.
Under the umbrella of computational stochastics, STOCHASTICA will bring together members of all of these communities to create a network of researchers with common goals informed by academic and industry partners. The work of the Action will generate a computational toolbox including a database of test problems, implementation guidance, and accessible descriptions of mathematical quality that empower non-specialist experts to make appropriate and routine use of stochastic models in applications such as natural resource management, renewable energy transmission, medical and public health applications including epidemiology and models of tumour growth. |
The total number of projects: 6
