Supporting the mental health of adolscents in Eastern Europe

Early adolescence is often a crucial time when it comes to healthy continued development in terms of mental health. Young people in Eastern Europe are currently facing particular challenges, as they are confronted by poverty and inequality on the one hand, and are often adversely affected by the ongoing conflict in Ukraine on the other. Heather Foran is working with partners to develop tools to provide affordable and scalable mental health programmes for the young people of Eastern Europe in particular. In recent weeks, her team has visited Moldova and Northern Macedonia for the purpose of training.

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Intelligent surgical robots are validated in cooperation with KABEG

Assistive robots are already in use in many operating theatres. However, they are often only used as teleoperators or assistants that hold and direct tools. Researchers at the University of Klagenfurt are working on new technologies that will enable robots to perform new tasks during operations. The algorithms developed in recent years are now being validated in cooperation with KABEG.

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To improve safety: Using swarms of drones to inspect bridges

The construction industry is also benefiting from digitalisation: BIM (Building Information Modelling) creates digital twins of construction projects, from planning to maintenance. To ensure that the condition of civil infrastructure such as bridges can be continuously mapped in the digital twin, it is planned to collect data from swarms of drones in the future. In a project funded by the Austrian Research Promotion Agency (FFG), researchers at the University of Klagenfurt are now developing a technology that will increase the reliability and robustness of inspection missions by swarms of drones.

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How can renewable energy satisfy the demand for electricity as far as possible?

Wind, sun and water do not produce constant amounts of energy. What’s more, renewable energy is difficult to store. Michaela Szölgyenyi is working on mathematical methods that can be used, for example, to better predict how much electricity a solar power plant will most likely produce at any given time.

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