Cookies helfen uns bei der Bereitstellung unserer Website. Durch die Nutzung der Website erklären Sie sich damit einverstanden, dass wir Cookies setzen. Hinweis: Sie können diese Box für verschiedene Informationen verwenden und einstellen ob sie wieder geöffnet werden kann.
DRYADS, a large-scale EU Green Deal project, brings together a consortium of 46 partners from 13 European countries and Taiwan, in the fight against wildfires. DRYADS will increase the effectiveness of enhanced sustainable fire and forest management under changing climate conditions, by building upon state-of-the-art high TRL products and latest innovations in fields covering all three stages of fire management -namely fire prevention and preparedness, detection and response, restoration and adaptation - and uniting them under the umbrella of a holistic Fire Management Platform Ecosystem. DRYADS will capitalise on expert knowledge and EU initiatives, but also address the need for proactive governance, change of forest management practices, community-based awareness and preparedness activities, where local communities and bio-economy sectors will play a central role.
Another new project is EASIER - Enabling and Assessing Trust when Cooperating with Robots in Disaster Response.
EASIER (funded by FFG KIRAS) investigates the interaction between humans and robots (Human Robot Interaction, Human Machine Teaming) in crisis management. An interdisciplinary team of psychologists, visualization experts, roboticists and emergency responders is investigating how the cognitive load on emergency responders can be reduced and how trust in robotic systems can be increased.
The next exciting project is called B.PREPARED: B.PREPARED has set itself the goal of designing an emergency planning and decision-making support system for accidents involving hazardous substances for the decision-makers in the authorities, which is supported by preparatory data collection, ongoing updating of the threat profile based on reference scenarios, information exchange risk forecasts prepared with on-site personnel and using model calculations based on the current state of information for decision-making.