WorkingAge will use innovative HCI methods (augmented reality, virtual reality, gesture/voice recognition and eye tracking) to measure the user emotional/cognitive/health state and create communication paths. At the same time with the use of IoT sensors will be able to detect environmental conditions. The purpose is to promote healthy habits of users in their working environment and daily living activities in order to improve their working and living conditions. By studying the profile of the >50 (Year old) workers and the working place requirements in three different working environments (Office, Driving and Manufacturing), both profiles (user and environment) will be considered. Information obtained will be used for the creation of interventions that will lead to healthy aging inside and outside the working environment. WorkingAge will test and validate an integrated solution that will learn the user’s behaviour, health data and preferences and through continue data collection and analysis will interact naturally with the user. This innovative system will provide workers assistance in their everyday routine in the form of reminders, risks avoidance and recommendations. In this way the WorkingAge project will create a sustainable and scalable product that will empower their user's easing their life by attenuating the impact of aging in their autonomy, work conditions, health and well-being.

Natural and man-made disasters remind us how the ability of societies to adapt and prosper depends on the collective action of the whole society. But the significant role citizens and communities can play at the grassroots level has been overlooked in research. ENGAGE will turn this around, showing how individuals and local practices can interrelate effectively with planned preparedness and response, practitioners and technology. To achieve this bold goal ENGAGE will start with the knowledge, strategies, methods, tools and practices used by real world practitioners and citizens, and mature results from earlier projects. It will combine and extend these to create innovative solutions to disaster management and new ways of fostering trans-disciplinary collaboration and learning across disciplines. A model for assessing and methods for improving societal resilience will be complemented by an evolving knowledge platform providing actionable solutions meeting the diverse needs of authorities, first responders and citizens. ENGAGE will use empirical data on individual and collective contributions to societal resilience and take into account contextual aspects such as socio-economic conditions, digital literacy, culture, gender, social capital, trust and diversity. It will focus on aspects that can be directly enhanced such as risk awareness, communication, social media, citizens’ as well as authorities’ and first responders’ involvement. Real world field validations will be used to demonstrate and validate ENGAGE solutions and their transferability to diverse contexts across Europe. The consortium is complemented by a Knowledge and Innovation Community of Practice that already has 37 members and will grow during the project. This team includes representatives from authorities, first responders, citizens associations, NGO´s, SMEs, industries, schools and academia. Together, they will propose validated solutions contributing to specific SENDAI actions.

LETS–CROWD will overcome challenges preventing the effective implementation of the European Security Model (ESM) with regards to mass gatherings. This will be achieved by providing the following to security policy practitioners and in particular, LEAs: (1) A dynamic risk assessment methodology for the protection of crowds during mass gatherings centred on human factors in order to effectively produce policies and deploy adequate solutions. (2) A policy making toolkit for the long-term and strategic decision making of security policy makers, including a database of empirical data, statistics and an analytical tool for security policies modelling, and (3) A set of human centred tools for Law Enforcement Agencies (LEAs), including real time crowd behaviour forecasting, innovative communication procedures, semantic intelligence applied to social networks and the internet, and novel computer vision techniques. LETS-CROWD will be a security practitioner driven project, fostering the communication and cooperation among LEAs, first responders, civil protection and citizens in the fight against crime and terrorism during mass gatherings by a set of cooperation actions. The project will put citizens at the centre of the research and will assess and evaluate how security measures affect them, and how they perceive them, while respecting EU fundamental rights. LETS-CROWD impact will be measured under practical demonstrations involving seven LEAs and relevant emergency services units. In order to facilitate the assessment of the performance, transferability, scalability and large scale deployment of these solutions, the demonstrations will be conducted following eleven use cases.