Pharmaceuticals have undoubtably made our world a better place, ensuring longer and healthier lives. However, pharmaceuticals and their active metabolites are rapidly emerging environmental toxicants. It is thus critical that we fully understand, and mitigate where nec-essary, the environmental impact resulting from their production, use and disposal. In this direction, ENVIROMED addresses two aspects of the environmental impact of pharmaceuticals, a) impact of the processes in manufacturing the compound, and b) impact of the compound itself, during its lifecycle. The project narrows the knowledge gap when it comes to the effect of pharmaceutical compounds, and their derivatives, in the environment as it enables the better understanding the environmental impact of such compounds, throughout their lifecycle. It aims to offer (via extensive monitoring campaigns & scientific studies) information regarding occurrence of pharmaceuticals in the environment, their persistence, environmental fate, and toxicity (via in-vitro & in-vivo models) as well as application of in-silico methods to provide information about the basic risk management and fate prediction in the environment. Brief ideas about toxicity endpoints, available ecotoxicity databases, and expert systems employed for rapid toxicity predictions of ecotoxicity of pharmaceuticals will also be taken into account, in order to have a comprehensive approach to pharmaceuticals' Lifecycle Assessment (LCA). Moreover, the project aims at developing a set of technologies that enable greener and overall, more efficient pharmaceuticals production, which include: a) Green-by-design in-silico drug development; b) Novel sensing to allow reduction of rinsing chemicals and cycles; c) a robust Continuous Biomanufacturing line (CBM), which makes use of AI-enabled process optimisation and prediction, using data assimilation based on chemical sensing and energy disaggregation/monitoring. Training activities and a robust exploitation

YADES aims to efficiently train a network of fellows on the field of the resilience of Cultural Heritage (CH) areas and historic cities against Climate Change (CC) and other types of hazards. Towards this direction, YADES aims to introduce a research framework for downscaling the created climate and atmospheric composition as well as associated risk maps down to the 1x1 km (historic area) scale, and specific damage functions for CH materials. Applying atmospheric modelling for specific CC scenarios at such refined spatial and time scales allows for an accurate quantitative and qualitative impact assessment of the estimated micro-climatic and atmospheric stressors. YADES will perform combined structural/geotechnical analysis of the CH sites and damage assessment under normal and changed conditions, based on the climatic zone, the micro-climate conditions, the petrographic and textural features of building materials, historic data for the structures, the effect of previous restoration processes and the environmental/physical characteristics of the surrounding environment. The data coming from installed monitoring system will be coupled with simulated data (under our cultural heritage resilience assessment platform-CHRAP) and will be further analysed through our data management system, while supporting communities’ participation and public awareness. The data from the monitoring system will feed the DSS so as to provide proper adaptation and mitigation strategies. The produced vulnerability map will be used by the local authorities to assess the threats of CC (and other natural hazards), visualize the built heritage and cultural landscape under future climate scenarios, model the effects of different adaptation strategies, and ultimately prioritize any rehabilitation actions to best allocate funds in both pre- and post-event environments. To train the fellows, the project will make use of extensive workshop and training sessions, as well organise summer schools.

The ambition of PRYSTINE is to strengthen and to extend traditional core competencies of the European industry, research and universities in smart mobility and in particular the electronic component and systems and cyber-physical systems domains. PRYSTINE's target is to realize Fail-operational Urban Surround perceptION (FUSION) which is based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. Therefore, PRYSTINE's high-level goals are: 1. Enhanced reliability and performance, reduced cost and power of FUSION components 2. Dependable embedded control by co-integration of signal processing and AI approaches for FUSION 3. Optimized E/E architecture enabling FUSION-based automated vehicles 4. Fail-operational systems for urban and rural environments based on FUSION PRYSTINE will deliver (a) fail-operational sensor-fusion framework on component level, (b) dependable embedded E/E architectures, and (c) safety compliant integration of Artificial Intelligence (AI) approaches for object recognition, scene understanding, and decision making within automotive applications. The resulting reference FUSION hardware/software architectures and reliable components for autonomous systems will be validated in in 22 industrial demonstrators, such as: 1. Fail-operational autonomous driving platform 2. An electrical and highly automated commercial truck equipped with new FUSION components (such as LiDAR, Radar, camera systems, safety controllers) for advanced perception 3. Highly connected passenger car anticipating traffic situations 4. Sensor fusion in human-machine interfaces for fail-operational control transition in highly automated vehicles PRYSTINE’s well-balanced, value chain oriented consortium, is composed of 60 project partners from 14 different European and non-European countries, including leading automotive OEMs, semiconductor companies, technology partners, and research institutes.

In 2014 422 million adults in the world suffered from diabetes, and the increasingly sedentary ways of life will contribute to the “growth” of this disease. Diabetic foot ulcers (DFUs) are one of the most common complications of diabetes, accounting for most of diabetic patients’ hospitalization, and being the direct cause for 50% of all non-traumatic amputations. This also implies substantial healthcare costs: compared with “healthy” diabetic patients, the cost of care for patients with a foot ulcer is 5.4 times higher, and across the EU, ulcer complications’ care adds 7- 10 € billion to direct yearly costs. Early diagnosis can have a significant impact on decreasing the impact of DFUs. However, this is not a simple task, as current methods for the diagnosis of DFUs rely only on foot inspection by doctors and decades-old microbiological techniques. Therefore, there is an urgent need for technologies that enable early diagnosis of DFUs so as to minimise their consequences. FeetWell™ is the response to this need: a user-friendly device based on the merging of different monitoring technologies (IR Thermography, Ultrasonography and Dermatoscopy) to facilitate early detection of microvascular and macrovascular foot complications. Moreover, as it is a simple to use device, it will empower patients, making them less reliant on doctor visits and increasing their engagement into their self-care. Feetwell is a strategic project for our company, Metis Baltic, as it will enable us to bridge the gap between previous R&D projects and launch ourselves into the medical diagnostic tools’ market as the developers of the 1st automated diabetic foot inspection device on the market, by 2020 reaching revenues of €16.5 million by 2022, with a ROI of 2.2, and multiplying by 10 our staff. But Feetwell will not only benefit our company, but it will also contribute to reducing the impact of DFUs on EU healthcare systems.

OCEANIDS aims at building user-driven applications and tools, which act as an enabling technological layer for regional authorities & stakeholders in order to achieve a more resilient and inclusive systemic pathway to a Blue Economy in coastal regions. Brining spatial and non-spatial data & services under a single-access window platform for Climate-Informed Maritime Spatial Planning (CI-MSP), the project will allow a more integrated seascape management of coastal regions. The project delivers a Decision Support tool (the OCEANIDS Decision Support Platform - O-DSP), with an over-arching target to collect, harmonise and curate existing climate data services, making data accessible, reusable and interoperable for the development of local adaptation strategies. OCEANIDS facilitates access to knowledge, data & digital services critical for better understanding and managing climate risks, enhancing adaptive capacities and sup-porting transformative innovations. In addition, OCEANIDS sees inclusivity as an enabling, and required, factor towards a Blue Economy. The project has a strong focus on behavioural change, both on individual as well as on a systemic level, en-abling participating regions and communities to better understand and use potential social tipping points and systemic leverage points to accelerate transformative changes towards climate resilience. To achieve this, it promotes inclusive and deliberative governance through meaningful engagement and dialogue between citizens and stakeholders. This will be achieved using case-specific tools (i.e. ephemeral social networks) leveraging local citizens assemblies for bot-tom up deliberation, cultivating a culture of civic engagement, thus empowering individuals to take action in their own communities. Finally, the project will contribute to mobilising sustainable finance and resources towards adaptation at scale and closing climate protection gap.