IW-NET will deliver a multimodal optimisation process across the EU Transport System, increasing the modal share of IWT and supporting the EC’s ambitions to reduce transport GHG emissions by two thirds by 2050. Enablers for sustainable infrastructure management and innovative vessels will support an efficient and competitive IWT sector addressing infrastructure bottlenecks, insufficient IT integration along the chain and slow adoption of technologies such as new vessel types, alternative fuels, automation, IoT, machine learning. The Living Lab will apply user-centered application scenarios in important TEN-T corridors demonstrating and evaluating the impacts in simulations and tests covering technological, organisational, legal, economical, ecological, and safety/security issues: 1) Digitalisation: optimised planning of barge operations serving dense urban areas with predictive demand routing (Brussels-Antwerp-Courtrai-Lille-Valenciennes); data driven optimisation on navigability in uncertain water conditi

EMERALDSs vision is to design, develop and create an urban data-oriented Mobility Analytics as a Service (MAaaS) toolset, consisting of the so-called emeralds services, compiled in a proof-of-concept prototype, capable of exploiting the untapped potential of extreme urban mobility data. The toolset will enable the stakeholders of the urban mobility ecosystem to collect and manage ubiquitous spatio-temporal data of high-volume, high-velocity and of high-variety, analyse them both in online and offline settings, import them to real-time responsive AI/ML algorithms and visualize results in interactive dashboards, whilst implementing privacy preservation techniques at all data modalities and at all levels of its architecture. The toolset will offer advanced capabilities in data mining (searching and processing) of large amounts and varieties of urban mobility data and its efficiency will be assessed, validated and demonstrated in three TRL5 pilot use cases (by following a co-development approach with mobility and city stakeholders to improve decision making in urban smart city environments), and deployed/showcased in two early adopters data-driven TRL6 applications (by integrating the new services to existing systems to improve commercial offerings).

ZeroW has set the ambitious target of playing a key role in the transition of current food systems towards halving Food Loss & Waste (FLW) by 2030 and reaching near-zero FLW by 2050. ZeroW provides significant impacts through the demonstration of innovations in nine real-life food chains, by employing a systemic innovation approach, to effectively address the multidimensional issue of FLW. This involves: (i) pre-identifying systemic innovations, that incorporate multiple interlinked dimensions (process, organisational, strategy, marketing, product, technological, governance, etc.), which are tested and demonstrated; (ii) steering the evolution of innovations towards higher levels of systemic readiness and impact, using a Living Lab co-creation and multi-actor collective learning approach; (iii) enhancing the Living Lab actors’ innovation advancement capability with shared resources facilitating new ways and means of cooperating and co-developing innovations; (iv) developing context-specific trajectories for the systemic innovations (from ideation to scaling-up and commercialisation) leading to the provision of currently missing end products and services that align with consumer attitudes, food actor needs and policy trends. Moreover, ZeroW establishes a clear ‘FLW impact trajectory’, from demonstrator results (2025), scaled up to meet the F2F 2030 goals, and steered through a ‘just transition pathway’ towards a near-zero FLW in 2050.

SPINE’s vision is to accelerate the progress towards climate neutrality by reinforcing PT systems through their smart integration with new mobility services, sharing schemes, active transport modes, and micromomibilty. SPINE adopts an equity centred design thinking approach, leading the transition to a more efficient, sustainable, resilient, and inclusive PT system. A network of collaborative LLs is developed to foster transferability, while an intersectional view of the transport system users is applied. Four Lead City LLs in Antwerp, Bologna, Tallin and Las Palmas will be established, and a series of co-creation activities will take place where multiple stakeholders will be actively engaged in the development and demonstration of efficient, replicable, and socially acceptable innovative mobility solutions, advancing existing assets. The SPINE approach involves the creation of (a) innovative simulation and Digital Twining (DT) tools, along with open data and behavioural models, that will allow the building of scenarios combining different mobility interventions (push and pull measures along with supporting policies) and the implementation of the most promising ones; (b) data-driven impact assessment models that will foster the twinning, transferability and adaptation of the successful solutions of the four LLs in seven Twining Cities - Barreiro, Valladolid, Zilina, Sibenik, Hrakleion, Gdynia and Rouen-. SPIRE sets a high ambitious plan for the co-design and implementation of 55 smart greens inclusive mobility solutions. The SPINE consortium brings together a multidisciplinary team of 39 partners from 16 countries. The unique mix of experienced transport engineers, Public transport Operators, computer scientists, data analysts, transport modelers, social scientists, urban planners, policy analysts, software providers, within our consortium assures the comprehensive approach to the challenges, scope, expected impact and the successful delivery of the project.

DT4GS is aimed at delivering an “Open Digital Twin Framework” for both shipping companies and the broader waterborne industry actors to tap into new opportunities made available through the use of Digital Twins(DTs). The project will enable shipping stakeholders to embrace the full spectrum of DT innovations to support smart green shipping in the upgrade of existing ships and new vessels. DT4GS will cover the full ship lifecycle by embracing federation of DT applications as well as utilising DTLF policies and related shared-dataspace developments for the sector. DT4GS applications will focus on shipping companies but will also provide decarbonisation decision-support system for shipyards, equipment manufacturers, port authorities and operators, river commissions, classification societies, energy companies and transport/corridor infrastructure companies. DT4GS’s objectives are to: 1. Support shipping companies in achieving up to 20% reduction in CO2e with a 2026 horizon, by developing and deploying real-time configurable DTs for ship and fleet operational performance optimisation in 4 Living Labs involving shipping companies, with different vessel types, and establishing fully validated industry services for Green Shipping Operational Optimisation DTs expected to be adopted by 1000+ ships by 2030. 2. Establish a comprehensive zero-emission shipping methodology and support Virtual Testbed and Decision Support Systems that address both new builds and retrofits comprising: a. A DT4GS (Green Shipping) Dataspace for the broader shipping sector contributing to GAIA-X by establishing a core European industry resource that accelerates the green and digital transition of waterborne shipping and transport value chains. b. Simulation based solutions to retrofit ships, targeting 55% reduced CO2e reduction by 2030. c. A smart green “new-build” reference design per vessel type. d. Virtual Testbed services for reducing the cost of physical testing of GS solutions by 20%.