BIO-INTEL-MOB aims to revolutionize peri-urban mobility, logistics, and governance through AI-driven, citizen-centric, and climate-neutral solutions. Addressing fragmented mobility networks, inefficient logistics, and governance gaps, the project integrates Advanced Mobility Data Space (aMDS), Peri-Urban Mobility Hubs (PUMHs), Green-Safe Routing Algorithm (GSRA), bio-packaging logistics units (bioPLU), and Digital Twin ecosystems. By leveraging AI-powered risk detection, emission monitoring, real-time analytics, multimodal transport optimization, and VR/AR-enabled participatory governance, BIO-INTEL-MOB enhances urban-peri-urban accessibility and connectivity, reduces private car dependency by 35%, and optimizes multimodal transport efficiency by 35%. The project’s interventions will lead to a 30% reduction in urban-peri-urban congestion, a 25% decrease in logistics-related emissions and packaging waste. Further, BIO-INTEL-MOB will cut VRU-related accident risks by 35%, improve air quality and noise pollution by 20%, and reduce the human health impact of transport-related pollution by 30%. The project conducts large-scale pilot demonstrations in Rome, Cascais, Riga & Vilnius, alongside satellite pilots in Melsungen, Ciampino, Urla, and Rhodes, ensuring scalability and transferability. Through policy-aligned smart city governance (SCGo) with policy engine, citizen-voice-app and knowledge-hub, and AI-driven multimodal transport innovations, BIO-INTEL-MOB strengthens citizen participation in city planning by 40%, creating data-driven and participatory ecosystems. The project’s AI-driven models will ensure a 40% increase in participatory governance efficiency, 25% faster policy compliance processes, and a 35% improvement in co-designing of city policies and infrastructure. The outcomes contribute to the EU Green Deal, Digitalization Strategy, and Climate-Neutral Cities Mission, positioning peri-urban areas as resilient, connected, and low-emission living spaces.

HYPERION aims to introduce a research framework for downscaling the created climate and atmospheric composition as well as associated risk maps down to the 1x1 km (historic area) scale, and specific damage functions for Cultural Heritage (CH) materials. Applying atmospheric modelling for specific Climate Change (CC) scenarios at such refined spatial and time scales allows for an accurate quantitative and qualitative impact assessment of the estimated micro-climatic and atmospheric stressors. HYPERION will perform combined hygrothermal and structural/geotechnical analysis of the CH sites (indoor climate, HVAC, related strains and stresses, etc.) and damage assessment under normal and changed conditions, based on the climatic zone, the micro-climate conditions, the petrographic and textural features of building materials, historic data for the structures, the effect of previous restoration processes and the environmental/physical characteristics of the surrounding environment. The data coming from the integrated monitoring system will be coupled with simulated data (under our holistic resilience assessment platform-HRAP) and will be further analysed through our data management system, while supporting communities’ participation and public awareness. The data from the monitoring system will feed the DSS so as to provide proper adaptation and mitigation strategies, and support sustainable reconstruction plans for the CH damages. The produced vulnerability map will be used by the local authorities to assess the threats of CC (and other natural hazards), visualize the built heritage and cultural landscape under future climate scenarios, model the effects of different adaptation strategies, and ultimately prioritize any rehabilitation actions to best allocate funds in both pre- and post-event environments. The project outcomes will be demonstrated to four European historic areas in Norway, Spain, Italy and Greece (representing different climatic zones).

European countries confront the rising specter of transboundary crises, which cross national borders as well as policy boundaries with speed and ease, threatening the continuing functioning of critical infrastructures and the well-being of many citizens. Transboundary crises pose a specific set of complex challenges for which Europe is – despite recent policy initiatives (e.g. Decision No 1313/2013/EU) – still ill prepared. We recognize three challenges that need urgent attention. First, member states need to develop shared response planning. Second, countries need to share information in real time. This sense-making challenge requires a way to have multiple countries and agencies create a shared picture of an emerging crisis based on multiple sources (different countries, many agencies). Third, countries need to coordinate the use of critical resources to ensure a timely response and to avoid waste and misspending. These challenges are hard to meet in any type of crisis or disaster, but especially in a transboundary context that lacks a dominant actor. IN-PREP will establish and demonstrate a next generation programme by enabling a reference implementation of coordination operations (Handbook of Transboundary Preparedness and Response Operations that synthesises the lessons learnt, recommendations, check-lists from past incidents) and a training platform (Mixed Reality Preparedness Platform a novel IT-based tool, which holistically integrates Information Systems (IS) and Situational Awareness (SA) modules over a decision support mechanism and the visualisation of assets and personnel) to the entirety of civil protection stakeholders (firefighting units, medical emergency services, police forces, civil protection units, control command centres, assessment experts) to meet these challenges. The proposed framework will not only improve preparedness and planning but can be also applied during joint interventions, thus improving the joint capacity to respond.