Smart, SME Friendly, open, Zero-Defect Manufacturing Reference Platform, Apps, SDK, and Marketplace for Product and Process Quality in any factory for achieving excellence in European and Global Manufacturing The ZDMP project combines state of the art technological approaches based on commercial grade standard or open-source or previous-project software with an innovative integration concept based on proven and integrating technologies. It provides Process and Product Quality support on top of a platform layer. These all can utilise ZDMP core services which can also be used to build ZD Apps which are placed on the ZD Marketplace. The ultimate aim is to establish a sustainable business and technological approach at the end of the project and launch “ZDMP Limited” assisted by the possibility of a crowdsourcing approach and ZDMP ambassadors. ZDMPs pan-European consortium entails ICT Technology SMEs (ICE, ASC, SOFT), Manufacturing/ZD Technology SMEs (PROF, CET, VSYS), Technology Corporates (SAG, Scale Focus), 4 Sector and Cross-Domain Use cases (14 Partners SME/Large from Automotive, Machine Tools, Construction, Electronics), Researchers/Associations (IKERLAN, ITI, UNINOVA, TUT, and UPV), specialists (DIN – German Standards, Rooter – Regulation, UOS-ITI – Call Management). ZDMP also is supported by the Coordinating partners of FOF projects CREMA, vf-OS, and C2NET.

Despite technological breakthroughs in connected and automated transport, the total transformation of existing transportation into a fully autonomous system is still decades away. In the meantime, mixed traffic environments with semi-autonomous vehicles proactively passing the dynamic driving task back to the human driver, whenever system limits are approached, is expected to become the norm. Such a Request to Intervene (RtI) can only be successful and met with trust by end-users if the driver state is continuously monitored and his/her availability properly evaluated and sufficiently triggered (through tailored human-machine interfaces - HMIs). In parallel, driver training has to evolve to account for the safe and sensible usage of semi-automated driving, whereas driver intervention performance has to be made an integral part of both driver and technology assessment. Besides, the ethical implications of automated decision-making need to be properly assessed, giving rise to novel risk and liability analysis models. The vision of Trustonomy (a neologism from the combination of trust + autonomy) is to maximise the safety, trust and acceptance of automated vehicles by helping to address the aforementioned technical and non-technical challenges through a well-integrated and inter-disciplinary approach, bringing domain experts and ordinary citizens to work closely together. Trustonomy will investigate, setup, test and comparatively assess, in terms of performance, ethics, acceptability and trust, different relevant technologies and approaches, including driver state monitoring systems, HMI designs, risk models, and driver training methods. This will be done through both simulator and field based studies, in a variety of autonomous driving and RtI scenarios, covering different types of users (in terms of age, gender, driving experience, etc.), road transport modes (private cars, trucks, buses), levels of automation (L3 - L5) and driving conditions.

ELVITEN will holistically tackle all issues impeding the wide market deployment of EL-Vs, by proposing replicable usage schemes to boost ownership or sharing of all categories of EL-Vs by systematic and occasional urban travellers and by light delivery companies. Existing charge points in the ELVITEN Demonstration Cities, including private ones, will be integrated in a Brokering and Booking service and EL-V charging possibilities will be integrated in the biggest eRoaming platform in the market, to enable EL-V users to charge independently from charge point operators. Sharing services will be set up and supporting policies and incentives will be put in place. ICT tools will be deployed, including a Brokering and a Booking service for EL-Vs and charge points, an EL-V fleet monitoring tool and Eco-Drive app, a Serious Game and an Incentive Management Smart Card. One-year long demonstrations with 383 equipped EL-Vs of all categories in Genoa, Rome, Bari, Malaga, Berlin and Trikala, will allow the collection of a big data bank of trip data and users' experiences and opinions after the trips. The analysis will shed light on the real driving and charging patterns of EL-Vs, on reported problems encountered and on the users’ opinions and perceptions. A Cost Benefit Analysis will evaluate the potential market uptake of EL-Vs. Sustainable business models will be proposed for sharing, rental, parking or charge services for EL-Vs and for the deployed ICT tools. Guidelines to EL-V manufacturers and to Planning Authorities will be prepared and agreements will be signed with another 50 Follower Cities so that they transfer in their own regions the ELVITEN usage schemes.

VPP4Islands aims to facilitate the integration of renewable systems, accelerate the transition towards smart and green energy and help Islands to exploit energy efficiency potential and innovative storage approaches, foster the active participation of citizens and become self-sufficient in energy, while reducing costs, GHG emissions and reliance on heavy fuel oil to generate power, and creating new intelligent business, growth and local skilled jobs. To reach these goals, VPP4Islands project proposes disruptive solutions based on digital twin concept, Virtual energy storage systems (VESS) and Distributed Ledger technology (DLT) to revolutionize the existing VPP and build smart energy communities. Based on aggregation and smart management of distributed energy resources (DERs), VPP4Islands increases the flexibility and profitability of energy systems while providing novel services. VPP4Island will also enhance the Demand Response Capability of consumers by understating their behaviors and promoting self-consumption. In order to validate and evaluate the proposed solutions, two use cases in real-life with diverse assets in two leading islands are planned. The control and optimization of different systems will be extended to consider not only electrical, but also multi-energy vectors. Moreover, the qualified VPP4Islands solutions will be replicated in 3 follower islands, in order to generate and initiate smart sustainable energy plans. Also, VPP4Islands will generate durable social and environmental values for the benefit of consumers/prosumers. Finally, VPP4Islands project consortium is composed of 1 large company, 1 DSO, 7 SMEs, 3 universities, 2 RTOs, 3 islands municipalities, and 2 non-profits organisation.

ResilMesh will develop a cyber situational awareness based Security Orchestration and Analytics Platform Architecture (SOAPA) toolset to improve digital infrastructure resilience through fulfilling these objectives: 1: Improving end-to-end data aggregation and security control interoperability in dispersed digital infrastructures 2: Giving CSIRTs better awareness of the service and asset dependencies of their network 3: Helping CSIRTs to build cyber resilience capacity 4:Developing AI based algorithms and tools for early and ongoing attack detection and prediction 5:Developing a situation assessment system to view and forecast network level risk These objectives are achieved through a 10 work package project plan. ResilMesh will build a SOAPA platform by combining existing security controls and other tools from consortium participant with readily available open source elements. It will develop algorithms and software tools in the project and will integrate these with the platform to form a complete SOAPA system. It will validate the operation of the ResilMesh system through use cases in three different infrastructure categories (i.e. renewable energy SCADA; smart manufacturing robotics and regional civil infrastructure) and five open call use cases. These 8 pilots will ensure that the platform is evaluated across a wide range of critical infrastructures. ReilMesh develops AI based algorithms to improve attack detection and prediction for endpoint and network traffic; it help CSIRTs deal digital infrastructure complexity and heterogeneity by providing tools to give them better awareness of environment dependencies, threats and risk while preserving privacy. It increases the reliability and granularity of shared threat intelligence to improve context for threat hunting and cyber forensics incident response leading to more robust decision making. Finally it provides a suite of best practices to build cyber capacity to improve resilience preparation.