The idea is to Build a Knowledge Base, that can be used to trace all activities related to the overall life-cycle of buildings. Since various directives of the EU are related to sustainability, resilience and energy efficiency of building stock, it is necessary to provide a marketplace where various actors can share their offers, including their quality certificates and credentials, and where it would be possible to log and trace every information, activity and change, and use the knowledge to improve sustainability. The project will extend a Digital Building LogBook (DBL), used by a municipality for the management and the administration of its huge set of buildings, with several available and novel data, tools and functionalities, by the help of a Decentralized Knowledge Graph (DKG), an open source blockchain-based solution. DKG software will include specific building-related ontologies, so that the whole knowledge base about the life-cycle of the building can be logged and by that continuously updated, providing mechanisms and interfaces for the relevant stakeholders, to publish, trace, share, tokenize, end even trade models in a market economy. Such information integration can support decisions on optimal adaptation and intervention planning strategies for large populations of buildings. The DBL will be integrated with several new functionalities demonstrated on a dozen of use cases via easily accessible and publicly available APIs. These functionalities will assure a high interoperability between legacy systems and existing tools (e.g. BIM, HBIM), compliance with standards, providing automated warning and alerting system with the help of machine learning tools, digital twinning, and decision-making support. The new DBL based applications will be tested on pilot projects focusing on historical and critical buildings, and on building stocks. The project targets a smarter and more sustainable built environment of the EU providing new market and new value creation.

Radiotherapy is a widely used cancer treatment, however some patients suffer side effects. In breast cancer, side effects can include breast atrophy, arm lymphedema, and heart damage. Some factors that increase risk for side effects are known, but current approaches do not use all available complex imaging and genomics data. The time is now ripe to leverage the huge potential of AI towards prediction of side effects. This project will use rich datasets from three patient cohorts to design and implement an AI tool that predicts the risk of side effects, including arm lymphedema in breast cancer patients and provides an easily understood explanation to support shared decision-making between the patient and physician. The PRE-ACT consortium combines the expertise in computing (MDW, AUEB-RC), AI (HES-SO, CENTAI), radiation oncology (MAASTRO, UNICANCER), medical physics (THERA), genetics (ULEIC), psychology (CNR) and health economics (UM) that is necessary to tackle this problem. The project will integrate data from the three cohorts and build AI predictive models with built-in explainability for each of the key side effects of breast cancer radiotherapy. These AI models will be incorporated into an existing commercial radiotherapy software platform to create a world-leading product. The extended platform will be validated in a clinical trial to support treatment decisions regarding the irradiation of lymph nodes. The trial will adopt an innovative design in which the patients and medical team in the test arm will receive the risk prediction, but those in the control arm will not. A communication package built with a co-design methodology will ensure that AI outcomes are tailored to stakeholders effectively. The trial will evaluate whether using the AI platform changed the arm lymphedema rate and impacted treatment decisions and quality-of-life. Generalizability of the AI models for other types of cancer will be sought through transfer learning techniques.

The RESONANCE project develops an innovative software framework that provides means for rapid development and plug-and-play deployment of standard-compliant Customer Energy Manager (CEM), Resource Manager (RM), and their aggregation solutions. The CEM, specified in the EN 50491-12 standard family, is the next-generation demand-side flexibility management (DSFM) solution in Europe. CEM is a software agent that automates DSFM by interacting with smart appliances (represented by RMs), aggregators, and the markets to maximize customer benefits. According to the new EN 50491-12-2 standard, CEMs are envisioned to 1) provide a more deterministic demand response, and 2) be able to optimize consumer benefits with respect to multiple incentives and optimization targets. To achieve this, there is a need for accurate models of flexible assets (smart appliances) and model predictive control techniques to automate the decision-making within the customer premises. The RESONANCE Framework will facilitate the adoption of CEMs as the next generation DSFM system by significantly reducing the development efforts and costs. This is achieved with 1) a standard-compliant and modular system architecture, and 2) an innovative modeling pipeline that combines automated machine learning (AutoML) with physics-based modeling to provide accurate and robust models of flexible assets with minimum effort. The project brings together 19 partners (including a cluster with 40 organizations) with inter-disciplinary expertise and forms a basis for a cross-sector energy ecosystem that significantly contributes to the mobilization of DSFM at a large scale. Large scale piloting in six member states with a variety of consumer sectors, flexible assets (e.g. electric vehicles, HVAC systems, and white goods), stakeholders, and market settings (including sector integration with district heating) is utilized for demonstrating and validating the scalability and replication potential of the solutions.

There is a need for a radical step-up in the attention we pay to current and future climate impacts and associated efforts. Despite inspiring examples of adaptation solutions, stand-alone risk reduction projects that tackle issues through direct or existing policy levers are common practice. Adopting a systemic, transformative approach is advocated by the Mission Adaptation and European Green Deal. P2R takes an innovative systemic approach to regional climate resilience; one indivisible from Europe’s future economic and social development, intersecting with net zero commitments, and demanding a markedly different approach from the one adopted so far. P2R will empower at least 100 regions and communities to co-design visions of a climate resilient future and corresponding transformative, locally led pathways and innovation agendas that ensure long-term impact through political commitment. We do this by: (a) mobilising regional interest and progressively elevating the ambition and capability of regions; (b) developing a Regional Resilience Journey framework (and supporting services) to equip regions and communities in developing climate resilience pathways and connected innovation agendas; (c) allocating €21M across 100 regions and communities via two open call cycles to support their Journeys (d) triggering a wide engagement of citizens and diverse stakeholders in the co-creation of the pathways; (e) increasing knowledge on adaptation innovations across Key Community Systems (KCS) and enabling conditions; (f) boosting literacy and access to (innovative) adaptation finance; and (g) developing a Resilience Maturity Curve to baseline and monitor regional resilience capacities. Led by Climate KIC, the P2R consortium brings the combined strength of: regional network organisations, technical designers and innovators of transformative adaptation, adaptation finance experts, learning and capability building specialists, and monitoring and innovation impact partner.