See Far project aims to develop and validate a digitally enabled adaptive solution supporting ageing workforce with vision loss, an age-related condition, to remain actively involved in professional life, helping them to sustain and renew their work and personal life related skills and support independent active and healthy lifestyles. The See Far solution consists of two components: (i) See Far smart glasses where the display lenses are adapted to the needs of the users and optimize their view. In order this to be achieved a personalized visual assistant is developed capturing the condition of the eye, detecting the problem and provide the appropriate adjustment through the integration of augmented reality technologies. See Far smart glasses empower older adults to solve the most meaningful problems, transform how they design, build, maintain and collaborate in their organization, perceive the world conveniently and enjoy a safer exploration in an indoor/outdoor environment. (ii) See Far mobile application allowing monitoring of the central vision evolution and prediction of the risk for the presence of diseases (i.e. diabetes risk, cardiovascular risk). It will capture retinal images, through a digital direct ophthalmoscope attached in the smartphone, analyze the images (Image Analysis Component), and detect the type and the stage of vision impairment (Decision Support Component). The combination of the output of the See Far mobile application (indicator of the presence of a visual or not problem) with the output of the See Far smart glasses (type of daily visual issues the user has and his/her behavior) will lead to the provision of suggestions, through augmented reality, to the user supporting independent active and healthy lifestyles. The suggestions will be adaptive to the profile of the user through the Personalized visual recommendation service.

TeleRehaB DSS targets the promotion of AI adoption in everyday clinical practice for balance rehabilitation training. An AI-based decision support system (DSS) will be developed expanding upon the existing Augmented Reality (AR) rehabilitation training platform, with its balance exercises, exergames, cognitive training and remote patient monitoring with wearables and IoT devices from HOLOBALANCE project (TL6), to provide suggestive feedback for experts through the entire clinical rehabilitation pathway. The first component of AI models of TeleRehaB DSS will assess prognostic factors for risk of falls, treatment effectiveness, outcomes and side effects at baseline level, using a high volume of retrospective data for initial training. The other AI pillar of TeleRehaB DSS will introduce automated balance intervention planning and management functionality. The DSS will provide for each patient an optimal set of personalised rehabilitation activities, considering the best clinically effective treatment in conjunction with socio-economic effectiveness, and eHealth literacy. The later will be evaluated with a quick and easy to use tool with simple tasks to assess patient's level of technological awareness (i.e. use of smart devices, AR and IoT equipment), in order to predict if this is going to affect compliance and adherence with interventions that rely on the use of such novel technologies. Finally, the most beneficial use of AI in TeleRehaB DSS will consist of automated remote patient monitoring with wearables and IoT sensing devices, allowing rehabilitation training programs to be performed at home. The DSS will evaluate in real-time patient performance, symptoms occurrence with virtual AR physio's providing corrective and motivational feedback as activities are performed. These performance evaluation measures will be fed back to the DSS to support experts with their most time and effort-consuming activities of day-to-day patient management.

Urban food systems and ecosystems (UFSE) demand immediate action. CITIES2030 innovative approach have a great opportunity to attract the best researchers, entrepreneurs, civil society leaders, cities and all agents of the UFSE as well. The main goal of CITIES2030 is to create a future proof and effective UFSE via a connected structure centered in the citizen, built on trust, with partners encompassing the entire UFSE. CITIES2030 commit to work towards the transformation and restructuring of the way systems produce, transport and supply, recycle and reuse food in the 21st century. CITIES2030 vision is to connect short food supply chains, gathering cities and regions, consumers, strategic and complement industry partners, the civil society, promising start-ups and enterprises, innovators and visionary thinkers, leading universities and research across the vast diversity of disciplines addressing UFSE, including food science, social science and big data. CITIES2030 actively encourage the participation of citizens by delivering a trusted UFSE, moving consumers from being passive recipients to active engagement and motivated change agents. This objective is achieved via multiple tools delivered by CITIES2030 such as the CRFS Alliance, a community of practice supported by a digital platform, reaching all over Europe and beyond. This approach will enable policy developments, innovation actions within result-driven Labs, and enhancements on a pan-European scope with a global reach. Cities and regions will improve resilience and sustainability, and their leadership will create short food supply chain and ecosystems enabling local investments, trans-borders and transnational deployment. A blockchain-based data-driven UFSE management platform will secure intelligence and coordination actions by delivering an accurate, almost real-time digital twin of the whole supply chain, e.g. from production to waste management, but also on key enablers of resilience and sustainability.

The overall objective of HOLOBALANCE is to develop and validate a new personalized hologram coach platform for virtual coaching, motivation and empowerment of the ageing population with balance disorders. The coaching part will be realised by holograms and augmented reality games, along with easy to use sensors (smart bracelet, smart glasses, sensorized soles) that can be customized to implement and coach the user with specific, individualized exercises, offering new forms of accessible user interaction. HOLOBALANCE will engage the experts related to the management of people suffering from balance disorders, including physiotherapists, Ear Nose Throat experts (ENTs), neurologists, psychologists, gerontologists, towards developing a multi-stakeholder user centered coaching ecosystem. Suggestions for specific exercises and tasks and an activity plan will be provided by the experts in a daily basis, which will be then refined and updated through autonomous learning algorithms. Three different types of coaching will be provided by the HOLOBALANCE platform: (i) balance physiotherapy (BP), (ii) cognitive training (CT) combined with auditory tasks (iii) multilevel motivation and physical activity (PA) promotion. The platform will consist of a cloud based big data analytics component, with intelligent data mining algorithms, that will assess personalized heterogeneous data (motion capture sensor data, wearable sensor data, physiotherapy exercises movement data, clinical profiles), emotional and behavioural data (through emotional computing and behavioural modeling minimizing attention theft) and provide personalized advice, guidance and follow up for motivation, goal setting, BP, CT and PA. The accuracy in performance of the exercises will be measured objectively in real time, through a set of motion capture and wearable sensors. Experts will monitor the status through a visual analytics expert panel.

SmartCulTour aims to support regional development in European regions, with special attention to rural peripheries and the urban fringe, through sustainable cultural tourism. The project redefines cultural tourism through a contemporary lens and provides a comprehensive measurement framework for supply, demand and impacts. In order to support knowledge-led destination management, a decision-support system (DSS) will be developed for wide-scale monitoring purposes across European regions. The DSS will synthesize both traditional and non-traditional data sources, the latter particularly related to big data analytics, thereby assisting smart regional development. Besides a contribution to conceptual development and cultural tourism measurement, the main objective of SmartCulTour relates to the facilitation of community-led rural development through field experimentation in 6 living labs. Prior to these living labs, a comprehensive desk research will identify significant sustainable cultural tourism policies, their impacts and critical success factors. These best cases will inspire a series of possible local interventions. Within the living labs, novel creative approaches to stakeholder engagement are tested, notably arts-based methods, serious games, and service design which will help to provide local context and support. A toolkit will be designed to help destinations implement local actions towards sustainable cultural tourism development. SmartCulTour will therefore contribute to theory development, empirical validation of best practices within a living labs setting, and procedural development, particularly by providing European regions with a set of strategies to optimally engage with stakeholders and co-create sustainable cultural tourism experiences.