The WARRaNT project will enhance the dependability, safety, security, and resilience of Waterborne Digital Systems (WDS) and Safe, Secure, and Resilient Operations of Digitalized Ships (SRODS). Leveraging advanced methodologies, the project integrates hazard and risk management with human factors, cybersecurity, and resilience across all ship subsystems and interactions with infrastructure. WARRaNT employs Digital Twin technologies and Knowledge Graphs (KG) to support continuous monitoring, fault simulation, and testing, enabling real-time, predictive maintenance and decision-making. The project also focuses on transferring best practices from other safety-critical industries, such as aerospace and automotive, to the maritime sector. The methodology will be validated and refined through Living Labs, which serve as experimental environments designed to ensure the methodology meets real-world operational needs. To this end, WARRaNT establishes four distinct Living Labs, each focused on a specific aspect of enhancing system reliability: LL1 targets dependable containership digital systems, LL2 focuses on robust smart container-ship connectivity, LL3 addresses resilient automation systems for autonomous green vessels, and LL4 concentrates on the enhanced dependability of remote operation systems. WARRaNT also emphasizes industry adoption by providing tools and a Knowledge Platform for stakeholders, promoting standardization and the secure, federated sharing of data and models. This comprehensive approach positions WARRaNT as a key enabler for the future of autonomous, green, and resilient maritime operations.

CHARIOT will provide a design method and cognitive computing platform supporting a unified approach towards Privacy, Security and Safety (PSS) of IoT Systems including the following innovations: • A Privacy and security protection method building on state of the art Public Key Infrastructure (PKI) technologies to enable the coupling of a pre-programmed private key deployed to IoT devices with a corresponding private key on Blockchain system. • A Blockchain ledger in which categories of IoT physical, operational and functional changes are both recorded and affirmed/approved by a combination of a cognitive engine and private key hashing between the cognitive engine and IoT devices to authorise change and, likewise, invalidating any and all other changes be they malicious or otherwise. • A fog-based decentralised infrastructure for Firmware Security integrity checking that leverages a Blockchain ledger to enhance physical, operational and functional security of IoT systems, including actuation and deactivation. • An accompanying IoT Safety Supervision Engine providing a novel solution to the challenges of securing IoT data, devices and functionality in new and existing industry-specific safety critical systems. • A Cognitive System and Method with accompanying supervision, analytics and prediction models enabling high security and integrity of Industrials IoT. • New methods and tools for static code analysis of IoT devices, resulting in more efficient secure and safer IoT software development and V&V. Three Living Labs will demonstrate realistic and compelling heterogeneous solutions through industry reference implementations at representative scale, with the underlying goal of demonstrating that Secure, Privacy Mediated and Safety IoT imperatives are collectively met, in turn delivering a key stepping stone to the EU’s roadmap for the next generation IoT platforms and services.

CHORIZO aims to improve the understanding of how social norms (rules or expectations that are socially enforced) influence behaviour related to FLW generation. To significantly accelerate progress towards zero food waste, CHORIZO aims to use this knowledge to increase the effectiveness of decision-making and engagement of food chain actors, in changing social norms towards zero food waste. To achieve its aim, the project will provide evidence on the role of existing social norms in actors’ FLW behaviours through translating results from previous FLW actions into evidence and generate new evidence on social norms & FLW behaviours. Second, CHORIZO will embed these research results into innovation products that can foster change of FLW-related social norms. These products include more effective (sector-based) guidance, communication & science education packages and capacity building actions. CHORIZO employs real-life Case Studies (CSs) to serve its three interlinked purposes: (i) to provide information and data on the context and impact of previous FLW prevention/reduction actions undertaken by the Case Study members, thus enriching the evidence-based analysis on previous FLW actions; (ii) to generate new evidence on the interaction between social norms, behaviour and food waste, to feed into the project’s FW models and innovation products; (iii) to validate the communication & science education packages of the project. Moreover, on the technical side, CHORIZO will utilise advanced modelling techniques to produce solutions that integrate behavioural and economic theories and integrate gender and intersectional analysis to interpret social norm and behavioural data and to effectively engineer innovation processes and outputs.

AUTOSUP will drive the industrial transition to seamless multimodal automatic freight transport and enhance the operation of hubs as nodes in a Physical Internet logistics network. A multidisciplinary team of 17 partners including four organisations engaging in the activities their ecosystems of Transport and Logistics stakeholders will: • Define automation requirements for seamless multimodal automatic freight transport. • Empower stakeholders with an open, ready-to-use data-driven Decision Support System to help them implement and deploy automated processes and solutions and make strategic decisions about future investments. The systems will support undertaking feasibility studies via simulation to assess the efficiencies and impact of new solutions, whilst considering sustainability, financial and social impacts. • Support the transition path to automation in two Living Hubs (Antwerp and Trieste ports), focusing on the link of the two large transport nodes with road corridors, rail, inland waterways and airports, covering 6 diverse use cases. • Design new operational, governance and organisational change management models for autonomous logistics that incentivise cross-mode collaboration and reduce investment costs. • Validate operational and cost efficiencies of solutions via feasibility analysis, impact assessment and the engagement of representative stakeholders. • Establish a strategic and cohesive alliance and thematic working group for the alignment of multimodal automation adoption roadmaps across rail, road, aviation, waterborne and alternative innovative modes of transport and contribute to lowering automation adoption barriers through comprehensive transition guidelines, capacity-building sessions and policy recommendations. AUTOSUP integrates social innovation practices in research to foster automation adoption and enhance safety, accounting for the workforce dynamics and skills needed for the transition to autonomous operations.

FOREMAST R&I activities are structured along 4 ambition Pillars: (P1) Selectable level of automation Guidance, Navigation and Control (GNC) architecture and interfaces and situational awareness model for interfacing GNC and sensory hardware and processing systems to efficiently solve the control problem unique to IWT. Combined with balanced human-autonomy collaboration (navigation, mooring, cargo handling, propulsion) and safety implications in mixed traffic utilising tailored Galileo/EGNOS services will lead to a Next-generation Remote Control Centre TRL 5 and Small Flexible Automated Zero-emission (SFAZ) autonomy control system TRL 5 protypes. (P2) Zero emission energy management solutions dynamically optimised for prevailing operating conditions. Hybrid Electric and Fuel Cell zero emission solutions will be evaluated against power and energy requirements, lifetime, costs and life-cycle emissions of alternative fuel/energy systems. (P3) Innovative Macro Designs for SFAZ vessels in intramodal & intermodal transport networks reflecting innovations from P1 and P2. Vessel design concepts, verified through simulation, will provide systematic evaluation of SFAZ designs for confined areas and shallow waters, providing an increased operational flexibility in terms of cargo capacity, types, and load units, tied with hydrodynamic and propulsion models and control architectures. (P4) A modelling simulation design and operational optimisation tools (Digital Twining Platform) enables both design and operational measurement and optimisation of Living Lab (LL) solutions, supporting solutions for European coastal and inland or congested urban regions, incorporating if needed third party innovative components, ensuring transferability and sustainability. 2 LLs in Ghent and Caen, that represent coastal and inland congested urban regions, will demonstrate the SFAZ Prototypes integrated through Automated Smart Terminals in optimised logistic networks. A 3rd virtual LL in Galati will demonstrate replicability.