BEHOLDER revolutionises urban security through an integrated and cost efficient platform for real-time detection, assessment, and response to CBRN-E threats. The project addresses the challenges posed by the lack of standards and integration capabilities in current CBRN-E detection systems. Its innovative approach combines IoT-enabled sensors, advanced AI anomaly detection, and seamless integration with smart city infrastructure. The key objectives include the detection of CBRN-E threats in public spaces through IoTisation, the improvement of vulnerability assessments for law enforcement, the enhancement of modelling capabilities for resource planning, and the fostering of market uptake through stakeholder engagement. BEHOLDER utilises cutting-edge technologies such as SmartFurniture, environmental sensor networks, and specialised detectors like IMS+FP, HoloZcan-IoT, RadNano, and BME688 sensors. The project's methodology emphasises a collaborative and capability-driven agile approach, involving stakeholders from the outset. Real-world pilots in urban environments will demonstrate the system's effectiveness, paving the way for wider adoption. By addressing the evolving threat landscape and enhancing urban security, BEHOLDER aims to create safer, more resilient, and better-prepared environments for all. This translates to substantial economic savings, potentially preventing millions of euros in losses from disruptions to critical infrastructure and public services. In a simulated chemical attack scenario in Eindhoven, BEHOLDER could save an estimated €259 million by reducing fatalities, injuries, and healthcare costs. Moreover, the project’s proactive approach fosters a sense of security among citizens, promoting greater public confidence and resilience. By enhancing preparedness and response capabilities, it contributes to safer, more resilient, and economically vibrant urban environments across Europe.

HoloZcan brings a new tool for security actors (police, relief workers, disaster managers, crisis managers, stakeholders responsible for public safety, critical infrastructure, and service providers) notably in the fields of autonomous detection and response capabilities. The project will increase (environmental and exhaled) bio-aerosol sensing/measurement capability of CBRN practitioners by developing a high resolution, large throughput, automatic and highly portable detection system for making automatic classification of pathogens and particles. HoloZcan develops of a novel holographic microscopy and imaging technology for rapid and cost-efficient screening of potential biological threats and unknown, potentially dangerous substances, combined with methods of artificial intelligence and machine learning. It establishes a framework of a dynamic feature selection and validation algorithm to support the continuous innovation capability of the system in the field of adaptive learning and database optimization for specific bioinformatic applications. The project also develops comprehensive and innovative means of respiratory, ventilation and environmental biological data sampling that can be used in real-time, standoff or in mobile bio-detection context. The project indicates the HoloZcan technique versatility for a wide range of applications and demonstrates its technical feasibility. The project responses to the actual needs of European practitioners and technological gaps identified by the ENCIRCLE project as indicated in the ENCIRCLE Catalogue of Technologies and addresses several shortcomings of the current approaches to bio-threat agent detection. The HoloZcan project applies a flexible adaptive approach to design and CBRN practitioners are engaged as project partners or as external stakeholders in the process.

Climate Services (CS) are crucial in empowering citizens, stakeholders and decision-makers in defining resilient pathways to adapt to climate change and extreme events. Despite advances in scientific data and knowledge (e.g. Copernicus, GEOSS), current CS fail to achieve their full value-proposition to end-users. Challenges include incorporation of social and behavioural factors, local needs, knowledge and the customs of end-users. I-CISK will develop a next generation of end-user CS, which follow a social and behaviourally informed approach to co-producing services that meet climate information needs at a relevant spatial and temporal scale. I-CISK takes a trans-disciplinary approach to developing CS by working with stakeholders in 7 Living Labs established in climate hotspots in Europe, it's neighbours, and Africa, to address climate change and extremes (droughts, floods and heatwaves) faced by agriculture, forestry, tourism, energy, health, and the humanitarian sectors. With end-users, I-CISK will co-design, co-create, co-implement, and co-evaluate pre-operational CS that provide a step-change in integrating local knowledge, perceptions and preferences with scientific knowledge. This co-production framework is unique as it (i) links climate impact and adaptation at different temporal scales from (sub)-seasonal forecasts through to climate scale projections, and (ii) explicitly considers the human-climate feedbacks of adaptation and options in a multi-timescale, multi-sector, and multi-hazard setting. The novel CS will be built on a highly customisable cloud-based web platform that I-CISK develops; freely available, and easily replicable. The I-CISK co-production framework, supported by online open courses, guidelines, business stories and strategic dissemination, will catalyse the production and adoption of CS that integrate end-user local knowledge with scientific knowledge, contribute to improved decisions and policies, and a flourishing market for end-user CS