DATAWiSE will develop and test building and building portfolio management tools, leveraging cross-sectoral lifecycle data on the basis of an open, secure, interoperable, and scalable framework. Utilizing cutting-edge artificial intelligence and advanced analytics, the methodology will integrate data from a variety of sources to provide a holistic understanding of building operations. DATAWiSE will design and implement a scalable data architecture that ensures data quality, privacy, interoperability, and sharing, and a Data Sharing Platform that will not only ensure interoperability and scalability but will also prioritize data sovereignty to secure data handling and preserve ownership control. DATAWiSE will develop: i) a Data-driven Building Performance Management (DBPM) toolkit which will harness Building Information Modeling (BIM) data in conjunction with advanced data mining techniques through a digital twin. ii) An AI-enhanced Lifecycle Data-driven Decision Support (LD2S) toolkit. This will serve as a versatile solution for well-informed decision-making across planning, renovation, and sustainability domains. Through these tools, the project will offer a suite of added-value services aimed at optimizing building management in various aspects: Electrical and Thermal Flexibility Management; AI-Powered Energy Forecasting and Optimization; Smart Sustainability & Comfort Balancing for Building Occupants; Adaptive Building Risk & Resilience Assessment; Circular Lifecycle Assessment; Predictive Maintenance; Integrated Sustainability Performance Management; Smart Readiness Assessment. Besides technological innovation, the project also incorporates a supportive market and policy framework designed to offer evidence-based pathways for widespread adoption and commercialization.

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.

Culture heritage - tangible and intangible - can be understood as a reservoir of creativity, well-being, identity and knowledge that is useful to overcome present and future challenges. The cultural value attributed to our traditional and historic buildings denotes our identity as communities and individuals, playing an important role both in urban and rural domains. The historic building stock is heterogeneous and consists of buildings from different time periods, constructed in different ways with different materials, and also follows different architectural ideals. This situation implies that there is a need for differentiated renovation strategies and targeted policies along the heritage built environment’s life cycle that promote energy efficiency, sustainability, inclusiveness and resource efficiency, while preserving cultural heritage value. The overall vision of INHERIT is to create a systematic methodology, accompanied by leading-edge Information and Communication Technologies (ICTs), such as Internet of Things (IoT), Artificial Intelligence (AI) and (big) data analytics, and associated social/behavioural practices, towards sustainable, inclusive and resource-efficient CH solutions. INHERIT will enable socially innovative and economic viable interventions at different urban levels (buildings, city/neighbourhood), covering all relevant aspects of the heritage-built environment’s life cycle: (1) Design and renovation; (2) Monitoring, operation and management; (3) Preservation and maintenance. The solutions will be tested in 8 cultural heritage sites across EU. In addition, INHERIT will create a capacity building programme addressing heritage operators and stakeholders (including large companies, SMEs, public authorities, research organisations and citizens) to support sustainable CH with particular focus on NEB community and projects and will work on policy recommendations towards sustainable heritage.

The project aims to mobilize and guide public authorities in defining long-term energy policy priorities, promote multi-level governance and support regional and local authorities in developing, financing and implementing ambitious integrated sustainable energy and climate policy action plans in order to achieve climate resilience and carbon neutrality by 2050. This will be achieved through: - Facilitation of the vertical and horizontal multi-level governance cooperation in eleven (11) European countries. - Identification of strategic policy priorities at a national level, fostering multi-level governance to capitalise on synergies and economies of scale for implementing energy efficiency and renewable energy actions. - Capacity building at local/regional level. - Development of at least 116 sustainable energy and climate policy action plans for 2050 at the local and regional level. - Development of at least 105 funding proposals for implementing sustainable energy and climate actions/projects. - Targeted promotion of the concept of carbon neutrality to at least 50,000 relevant stakeholders across Europe. - Support EU policies and initiatives, such as the Global Covenant of Mayors on Energy and Climate. C-TRACK 50 is expected to contribute considerably towards achieving the 2030 and 2050 EU energy and climate targets. C-TRACK 50 relates to the topic EE–09–2017: Engaging and activating public authorities, as it will empower local and regional authorities to develop, finance and implement ambitious sustainable energy and climate resilient plans and actions. C-TRACK 50 addresses the following two actions that are part of the topic’s scope: - Supporting public authorities to foster local integrated energy, transport mobility and land-use planning. - Supporting public authorities to foster multi-level governance, linking up national and sub-national levels for delivering integrated sustainable energy planning and projects to achieve synergies and economies of scale