ENCASE will leverage the latest advances in usable security and privacy to design and implement a browser-based architecture for the protection of minors from malicious actors in online social networks. The ENCASE user-centric architecture will consist of three distinct services, which can be combined to form an effective protective net against cyberbullying and sexually abusive acts: a) a browser add-on with its corresponding scalable back-end software stack that collects the users’ online actions to unveil incidents of aggressive or distressed behavior; b) a browser add-on with its associated scalable software stack that analyses social web data to detect fraudulent and fake activity and alert the user; and c) a browser add-on that detects when a user is about to share sensitive content (e.g., photos or address information) with an inappropriate audience and warns the user or his parents of the imminent privacy threat. The third add-on has usable controls that enable users to protect their content by suggesting suitable access lists, by watermarking, and by securing the content via cryptography or steganography. The three browser add-ons and the back-end social web data analytics software stack will be assessed with user studies and piloting activities and will be released to the public. The foundation of the research and innovation activities will be a diligently planned inter-sectorial and interdisciplinary secondment program for Experienced and Early Stage Researchers that fosters knowledge exchange. The academic partners will contribute know-how on user experience assessment, large scale data processing, machine learning and data-mining algorithm design, and content confidentiality techniques. The industrial partners will primarily offer expertise in production-grade software development, access to real-world online social network data, and access to numerous end-users through widely deployed products.

Transport related emissions and urbanisation are creating an unparalleled demand for less polluting and efficient means of moving. Tackling the challenge is imperative and it calls for comprehensive understanding of the landscape, its every aspect and innovative mindset. It is a well-known fact that electric vehicles are a big part of the solution (combined with renewable energy production). We aim at developing and demonstrating an innovative, modular vehicle concept that is just perfect for the urban needs: zero emission, compact, safe and rightsized for the mission. Furthermore, we aim at intensifying the utilisation of the vehicles through versatile designing to promote, e.g., multipurpose usage and shared concepts. The key technical innovations of our RECONFIGURABLE LIGHT ELECTRIC VEHICLE, REFLECTIVE, vehicle are: 1) modular, scalable, electric powertrain and reconfigurable interiors fit from L7 quadricycles to M1/A vehicles; 2) supreme structural and active safety proven in Euro NCAP crash test and real life experiments of our L7 demonstrator vehicles; 3) added usability and comfortability through adaptable charging solution combining conductive and wireless charging and limited automated features. To conclude, we aim at introducing a L7 demonstration vehicle that meets the highest quality and safety standards with an affordable price making it an irresistible choice for any urban environment and use case. No such solution exists at the market and our primary aim is to bridge this gap.

Using fibre sensor networks, distributed information can be gathered even from places that are difficult or even impossible to be reached by other means. However, so far, such distributed fibre sensing networks are not capable of providing access to distributed chemical information along the fibre. In particular, highly selective and sensitive information on the concentration of various gases along the fibre cannot be obtained on a routine basis despite being desirable and needed in many different application scenarios. It is therefore tempting to explore the potential of integrating innovative optical gas sensing nodes along optical fibres, towards their massive deployment in existing telecom infrastructures. New developments in optical gas spectroscopy have opened up new prospects for remote gas sensing applications, addressing the limitations of current analytical methods in terms of sensitivity, ease-of-use and miniaturization. Nevertheless, there are important challenges to overcome before such a joint use of the fibers network for both communication and gas sensing becomes possible. GASPOF addresses these challenges, contributing to the development of the optical infrastructure of the future, where the communications network also acts as a large-scale distributed multi-parameter sensor. Focus will be put on two different optical techniques for gas sensing using the fiber-optics network: laser-based PTS and LHR. Both techniques will be advanced and integrated with the existing optical fibers network infrastructure. In parallel, we will investigate the possibility of using coherent OTDR for distributed gas sensing, while a reduced-cost approach for acoustic sensing will also be designed for measuring physical parameters of interest (e.g. vibrations) in addition to gas sensing. The GASPOF system configurations will demonstrate their performance and capabilities in important 4 application use cases.

There is an increasing need for miniaturised, multifunctional sensors providing simultaneous access to diverse chemical & biochemical information, required in various applications. Nowadays, such information, is routinely obtained by centralized laboratories and the use of analytical techniques. Although such methods will remain important when an immediate response is not necessary, easy-to-use, rapid point-of-need sensors that can be used by non-specialized personnel or even operate in a completely automated (unattended) manner could be a game-changer in a diverse range of fields such as disease management, robotics or for the early detection of environmental threats. Nanophotonic devices that precisely control light in subwavelength volumes and enhance light–matter interactions, have opened up new prospects for sensing applications, addressing the limitations of current analytical methods in terms of sensitivity, ease-of-use and miniaturization. There are, though, challenges to be overcome. MultiLab addresses these challenges by developing a highly flexible multi-sensing platform compatible with wafer scale manufacturing that will integrate multiple sensing modalities to simultaneously detect biological, chemical, microorganism and molecular targets for medical diagnostics & IoT-based environmental monitoring. The sensing modalities integrated in the MultiLab platform are a) plasmonic augmented, Arrayed Waveguide Grating sensing on a Si3N4 photonic platform for true & scalable multiplexed detection, b) mid-IR PTS employing the same SiN photonic platform for on-chip interferometric sensing by means of MZIs including also the same plasmonic devices and optical read-out as for the PA-AWG, c) graphite-based electro-chemiluminescence sensing. The system will be demonstrated in two applications: a) IoT-enabled, early warning of harmful algae blooms in fresh water sources, b) diagnosis & prognosis of fever without an apparent source.