PANOPTIS aims at increasing the resilience of the road infrastructures and ensuring reliable network availability under unfavourable conditions, such as extreme weather, landslides, and earthquakes. Our main target is to combine downscaled climate change scenarios (applied to road infrastructures) with simulation tools (structural/geotechnical) and actual data (from existing and novel sensors), so as to provide the operators with an integrated tool able to support more effective management of their infrastructures at planning, maintenance and operation level. Towards this, PANOPTIS aims to: - use high resolution modelling data for the determination and the assessment of the climatic risk of the selected transport infrastructures and associated expected damages; - use existing SHM data (from accelerometers, strain gauges etc.) with new types of sensor-generated data (computer vision) to feed the structural/geotechnical simulator; - utilize tailored weather forecasts (combining seamlessly all available data sources) for specific hot-spots, providing early warnings with corresponding impact assessment in real time; - develop improved multi-temporal, multi-sensor UAV- and satellite-based observations with robust spectral analysis, computer vision and machine learning-based damage diagnostic for diverse transport infrastructures; - design and implement a Holistic Resilience Assessment Platform environment as an innovative planning tool that will permit a quantitative resilience assessment through an end-to-end simulation environment, running “what-if” impact/risk/resilience assessment scenarios. The effects of adaptation measures can be investigated by changing the hazard, exposure and vulnerability input parameters; - design and implement a Common Operational Picture, including an enhanced visualisation interface and an Incident Management System. The PANOPTIS integrated platform (and its sub-modules) will be validated in two real case studies in Spain and in Greece.

The CURSOR proposal aims at developing new and innovative ways of detecting victims under debris. This includes the coordinated use of miniaturized robotic equipment and advanced sensors for achieving significant improvements in search and rescue operations with respect to (a) the time used to detect trapped victims after a building structure has collapsed, and (b) an informed and accelerated decision making by first responders during rescue operations allowing for the deployment of expert personnel and, in particular for operations in hazardous environments, suitable equipment at prioritized locations. CURSOR is proposing a system consisting of several integrated technological components. It includes Unmanned Aerial Vehicles (UAVs) for command & control, 3D modelling and transportation of disposable miniaturized robots, that are equipped with advanced sensors for the sensitive detection of volatile chemical signatures of human beings. Information and data collected are transferred in real time to a handheld device operated by first responders at the disaster site.

In a world where disasters and crises also evolve and cross boundaries with speed and ease , their complexity and magnitude increase, and societal repercussions often reach severe scales, it is imperative to increase citizens’ upkeep and feeling of safety and provide affected people the top-level healthcare that modern technology and current civil protection systems can offer. However, today’s emergency medical services and non-medical civil protection practitioners in a mass casualty incident scene, striving to save lives and nursing the injured, often have to rely on complicated or even outdated procedures (multiple protocols or lack of homogeneity in response methods and guidelines) and technology of the past. NIGHTINGALE will develop, integrate, test, deploy, demonstrate and validate a Novel Integrated Toolkit for Emergency Medical Response (NIT-MR) which ensures an upgrade to Pre-hospital life support and Triage. This will comprise a multitude of tools, services and applications required for 1) upgrading evaluation of injured and affected population and handle casualties (Triage) by offering them the means to perform digital identification, allow traceability, support fast diagnosis and prognosis and continuous monitoring and enable accurate classification of medical condition; 2) optimising pre-hospital life support and damage control through AI-based tracking, tracing, routing and utilisation enhancements of assets, resources and capacities as well as enabling continuous monitoring and correlation of vital signs and actions; 3) allowing shared response across emergency medical services, non-medical civil protection personnel, volunteers and citizens. The NIT-MR is provided at the service of the emergency medical services, non-medical civil protection personnel, volunteers and citizens for extensive testing, training and validation in the framework of a rich Training and Validation Programme of 5 Round Tables, 3 TTXs, 1 Laboratory Integration and 3 FSXs.