TEMA will greatly improve Natural Disaster Management (NDM, e.g., for wildfires, floods) by automating precise semantic 3D mapping and disaster evolution prediction to achieve NDM goals in near-real-time. It will analyze and fuse many heterogeneous extreme data sources: smart drone and in-situ sensors, remote sensing data, topographical data, meteorological data/predictions and geosocial media data (text, image and videos). TEMA will focus on the extreme nature of the data, due to their varying resolution and quality, very large volume and update rate, different spatiotemporal resolutions and acquisition frequencies, real-time needs and multilingualism. It will develop an integrated, ground-breaking NDM platform, focusing on real-time semantic extraction from multiple heterogeneous data modalities and sources, on-the-fly construction of a meaningful semantically annotated 3D disaster area map, prediction of disaster evolution and improved communication between service providers and end-users, through automated process triggering and response recommendations. Semantic analysis computations will be distributed across the edge-to-cloud continuum, in a federated manner, to minimize latency. Extreme data analytics will be performed in a trustworthy and transparent way, by greatly advancing state-of-the-art AI and XAI approaches. The constantly updated 3D map and the disaster evolution predictions will form the basis for an advanced, interactive, Extended Reality (XR) interface, where the current situation will be visualized and different response strategies will be dynamically evaluated through simulation by NDM personnel. The innovative, scalable and efficient TEMA platform will provide precise NDM support, based on extreme data analytics. It will be validated on two critical disaster use-cases (wildfires and floods), in four EU countries, and will form the basis for the TEMA NDM-Analytics-as-a Service (NDM-AaaS) model.

URBREATH vision is to develop, implement, demonstrate, validate and replicate a comprehensive, community participation and NBS-driven urban revitalisation, resilience and climate neutrality paradigm that will ultimately radically enhance the social interactions, inclusion, equitability and liveability in cities. Specifically, the aim of the URBREATH project is to implement hybrid/Natural Base Solutions putting at the heart of the decision-making process the communities within a city. Advanced techniques, particularly Local Digital Twins and AI, and social innovation will facilitate the achievement of its vision. The project will have four phases: 1. Inception, 2. Development, 3. Piloting, 4. Transition. The preliminary results of a single Phase are evaluated within the following Phase so to allow for feedback before releasing the final version. The Inception phase will define the methodology to be followed for the project development and will deliver the project functional and technical requirements. The second phase will release the URBREATH technical framework, consisting of tools to manage the whole data value chain and to support end-users to collaborate on the design and creation of NBS to be used in the city/district. It will be used to monitor and take decisions on the NBS to be implemented/deployed in the Piloting phase (evidence-based decision making), that involves 4 Front Runner Cities in 4 different climatic zones: Cluj-Napoca (RO - Continental), Leuven (BE Atlantic), Madrid (ES Mediterranean), and Tallin (EE Boreal). During the Transition phase, all the information, results and lessons learnt from the previous steps will be collected and analysed to provide recommendations and foster replication activities and the uptake of project outputs at the end of its lifespan. To this aim, 5 Follower Cities are involved: Aarhus (DK), Athens (EL), Kajaani (FI), Parma (IT), Pilsen (CZ), linked to the Front Runners for climatic zone and/or dimension.

The term first responders usually refers to law enforcement, fire, and emergency medical personnel. These responders, however, are not the only assets that may be required in the aftermath of a strike on the homeland. In contrast, the more appropriate term, emergency responders, comprises all personnel within a community that might be needed in the event of a natural or technological (man-made) disaster or terrorist incident. These responders might include hazardous materials response teams, urban search and rescue assets, community emergency response teams, anti-terrorism units, special weapons and tactics teams, bomb squads, emergency management officials, municipal agencies, and private organizations responsible for transportation, communications, medical services, public health, disaster assistance, public works, and construction. In addition, professional responders and volunteers, private nonprofit, nongovernmental groups (NGOs), such as the Red Cross, can also play an important role in emergency response. As a result, the tasks that a national emergency response system would be required to perform are more complex than simply aiding victims at the scene of a disaster, carried out by several kinds of professional users with different roles and expertise. Moreover, emergency preparedness and response lifecycle is a complex process that consists of the preparation, response, and recovery from a disaster, including planning, logistical support, maintenance and diagnostics, training, and management as well as supporting the actual activities at a disaster site and post-recovery after the incident.

DECIDO enables PAs to take full advantage of shared data, analytical tools and methodologies, computational power and cloud services and co-created data, for the development of better targeted and more effective evidence-based policies, leveraging on the capabilities and services offered by the European Cloud Infrastructure. The main mission of DECIDO is to demonstrate the ground-breaking impact of the adoption of cloud infrastructure to gain access to shared data in the field of Evidence Based Policy Making. DECIDO will provide PAs with an integrated interface for the definition of policy making workflows (from evidence gathering to policy definition and evaluation) enabling the orchestration and integration among tools and services made available by EOSC, with customized tools provided by DECIDO partners and relevant (big) data coming from public, academic and private data providers. DECIDO will develop solid and realistic business plans to ensure the long-term sustainability of the results considering legal, ethical and security aspects. DECIDO will also facilitate the introduction of co-creation in evidence based policy making allowing the active involvement of citizens and communities in the process. Hence DECIDO will also contribute in enhancing trust and boosting the perceived legitimacy of authorities. DECIDO methodological and technological approach will be assessed in different exploitation scenarios - demonstrating the value of collaboration, technology transfer and cross-pollination in 4 flagship pilot activities in 3 disaster risk management domains: floods (IT), fires (ES, FI) and power outage (EL). Data and service interoperability and portability will be granted through the use of ISA² core vocabularies, in describing dataset produced and used by PAs. Considering the complexity of the challenge DECIDO aims to address, a multi-sectorial and multi-disciplinary partnership has been set up to perform all the envisaged activities.