CREST aims to equip LEAs with an advanced prediction, prevention, operation, and investigation platform by leveraging the IoT ecosystem, autonomous systems, and targeted technologies and building upon the concept of multidimensional integration and correlation of heterogeneous multimodal data streams (ranging from online content to IoT-enabled sensors) for a) threat detection and assessment, b) dynamic mission planning and adaptive navigation for improved surveillance based on autonomous systems, c) distributed command and control of law enforcement missions, d) sharing of information and exchange of digital evidence based on blockchain, and e) delivery of pertinent information to different stakeholders in an interactive manner tailored to their needs. CREST will also provide chain-of-custody, and path-to-court for digital evidence. Human factors and societal aspects will also be comprehensively addressed, while information packages for educating the wider public on identifying threats and protecting themselves will be prepared and distributed.The platform development will adopt ethics and privacy by-design principles and will be customisable to the legislation of each member state. CREST will be validated in field tests and demonstrations in three operational uses cases: 1) protection of public figures in motorcades and public spaces, 2) counter terrorism security in crowded areas, and 3) Cross-border fight against organised crime (e.g. firearms trafficking). Extensive training of LEAs' personnel, hands-on experience, joint exercises, and training material, will boost the uptake of CREST tools and technologies. With a Consortium of 8 LEAs from 8 European countries, 7 research/academic institutions, 1 civil organisation, and 7 industry partners, CREST delivers a strong representation of the challenges, the requirements and the tools to meet its objectives.

As occupant behaviour can be considered as one of the main drivers of the performance gap, TOPAs will focus on reducing the gap from an operational perspective, hence supporting Post Occupancy Evaluation. Quantifying the performance gap is non-trivial, the performance gap is dependent on time and contextual factors, and individual buildings will have a particular performance gap. The delivery of energy efficiency projects through energy performance contracts and ESCOs is widely seen as a way of addressing sub-optimal post installation performance of energy efficiency technologies. Since this model is very attractive from many perspectives and is identified as a central route to delivery of energy efficiency gains in the EPBD, methods and models for the accurate measurement and verification of energy savings are essential to the growth of the ESCO market. The energy audit process is generally done for a fixed duration at a specific point in time. A key outcome is the identification and root cause analysis of energy inefficiencies and as a result a plan is put in place to minimise these inefficiencies. This can be very effective at reducing energy consumption in a building. However, from an implementation perspective, it can be difficult to identify all issues (in some cases conflicting system level goals) and the persistence of savings can be poor and as a consequence inefficiencies re-appear. Continuous energy auditing takes this one-off process and makes it a constant rolling cycle where a detailed overview of the building performance is consistently available making it possible to refine the energy management plan. TOPAs adopts the principle of continuous performance auditing and considers not only energy use but also an understanding of how buildings are used and their climatic state, thus providing a holistic performance audit process through supporting tools and methodologies that minimise the gap between predicted and actual energy use.

In every disaster and crisis, incident time is the enemy, and getting accurate information about the scope, extent, and impact of the disaster is critical to creating and orchestrating an effective disaster response and recovery effort. The main goal of beAWARE is to provide support in all the phases of an emergency incident. More specifically, we propose an integrated solution to support forecasting, early warnings, transmission and routing of the emergency data, aggregated analysis of multimodal data and management the coordination between the first responders and the authorities. Our intention is to rely on platforms, theories and methodologies that are already used for disaster forecasting and management and add the elements that are necessary to make them working efficiently and in harm under the same objective. The overall context for beAWARE lies in the domain of situational awareness and command and control (C2). The first phase concerns the forecast of the extreme condition and the relevant preparations. Once a disaster occurs, an initial assessment needs to be conducted as soon as possible to determine the scope, geographical distribution, and scale of the incident. Situational awareness means being able to accurately determine what has happened, what is happening now, and what will come next, all in order to plan and coordinate the most effective response possible with the resources available. This observation phase will lead to an orientation phase suggesting both an individual as well as collective “cognition” orientation to data that is sensed and communicated. Once orientation to the data (or the lack of it) occurs then a decision is made, ultimately resulting is the final step, which is “act”. The crisis management center is always striving or struggling to gain a sense of what is reality to be able to feel that he or she can make a decision that is the "best possible" given the circumstances.

CONNEXIONs aims to develop and demonstrate next-generation detection, prediction, prevention, and investigation services. These services will be based on multidimensional integration and correlation of heterogeneous multimodal data, and delivery of pertinent information to various stakeholders in an interactive manner tailored to their needs, through augmented and virtual reality environments. The CONNEXIONs solution encompasses the entire lifecycle of law enforcement operations including: a) pre-occurrence crime prediction and prevention b) during-occurrence LEA operations c) post-occurrence investigation, and crime-scene simulation and 3D reconstruction. CONNEXIONs will meaningfully enhance operational and (near) real-time situational awareness, through automated identification, interpretation, fusion and correlation of multiple heterogeneous big data sources, as well as their delivery via immersive solutions. Such multimodal data include Surface/Deep/Dark Web and social media content in 7 languages (EN, FR, DE, PT, RO, ES, AR), data acquired by Internet of Things (IoT) devices, and digital evidence. CONNEXIONs will also provide chain-of-custody and path-to-court for digital evidence. The Project will adopt ethics and privacy by-design principles and will be customisable to the legislation of each member state. CONNEXIONs will be validated in field tests and demonstrations in 3 operational use cases: a) counter-terrorism security in large scale public events b) human trafficking investigations and mitigation c) crime investigation and training through 3D scene reconstruction. Extensive training of LEAs' personnel, hands-on experience, joint exercises, and training material will boost the uptake of CONNEXIONs tools and technologies. With a Consortium of 8 LEAs from 7 European countries, 5 Research/Academic partners, and 4 industry partners, CONNEXIONs delivers a strong representation of the challenges, requirements and tools to meet its objectives.