Across Europe, the need for a more dynamic governance and a better societal integration of research and innovation is increasingly appreciated. Internal drivers of change (such as the digitalization of science) and political will to better align with societal needs and concerns are bringing about aspirational policies and processes of transformation of the R&I system, including those of RRI – responsible research and innovation. In order for the aspirations of RRI to be realised, robust tools must be developed for R&I policy and practice. The MoRRI project (2014-2018) conceptualised and implemented the first RRI monitoring system in Europe. The SUPER_MoRRI project builds upon and continues the work of MoRRI, ensuring sustained data collection, curation, further assessment and refinement of the MoRRI indicators. EU-28(-27) data will be complemented by monitoring data from selected non-EU countries. Furthermore, SUPER_MoRRI will go well beyond the technical efforts of MoRRI and develop a more complete scientific understanding of the complex and diverse relationships between RRI policies and practices and their societal, democratic and economic benefits. These theoretical advances together with the continuous data stream into the project form the basis of the iterative learning processes needed to create a mature monitoring system with indicators and metrics that are robust, realistic, in themselves responsible, and easy to implement. To meet these ambitious research challenges, the original scientific partners of MoRRI have included complementary RRI expertise to form the truly interdisciplinary SUPER_MoRRI consortium. In line with the concept of RRI itself, our learning processes will also be enhanced by participatory co-creation practices with stakeholders. Last, but not least, the project includes a series of measures to facilitate dissemination of the mature monitoring system, including international benchmarking and an easy-to-customize online dashboard system.

The SpeechXRays project will develop and test in real-life environments a user recognition platform based on voice acoustics analysis and audio-visual identity verification. SpeechXRays will outperform state-of-the-art solutions in the following areas: · Security: high accuracy solution (cross over accuracy of 1/100 i.e. twice the commercial voice/face solutions) · Privacy: biometric data stored in the device (or in a private cloud under the responsibility of the data subject) · Usability: text-independent speaker identification (no pass phrase), low sensitivity to surrounding noise · Cost-efficiency: use of standard embedded microphone and cameras (smartphones, laptops). The project will combine and pilot two proven techniques: acoustic driven voice recognition (using acoustic rather than statistical only models) and multi-channel biometrics incorporating dynamic face recognition (machine vision analysis of speech, lip movement and face). The vision of the SpeechXRays project is to provide a solution combining the convenience and cost-effectiveness of voice biometrics, achieving better accuracies by combining it with video, and bringing superior anti-spoofing capabilities. The technology will be deployed on 2000 users in 3 pilots: a workforce use case, an eHealth use case and a consumer use case. The project lasts 36 months and is coordinated by world leader in digital security solutions for the mobility space.

EUNOMIA is a fully decentralised, intermediary-free and open-source solution for addressing three key challenges: which social media user is the original source of a piece of information; how this information has spread and been modified in an information cascade; and how likely it is to be trustworthy. Although its innovations are applicable across any social network, its design philosophy makes it ideal for evaluation on similarly open, decentralised and federated new social media networks, thus contributing against accumulation of power in the large social media intermediaries located outside Europe. EUNOMIA actively encourages democratic citizen participation in content verification by allowing voting on content trustworthiness and influencing the reputation of content generators and sharers. It combines information cascade verification with information trustworthiness scoring, benefitting from blockchain technology to ensure transparency of the scoring process and that information has not been modified in a cascade. It also places emphasis on ensuring that trustworthiness information is communicated transparently and accessibly. A General Data Protection Regulation (GDPR) compliant and ethically responsible digital companion running as a local app on the user’s device encourages the involvement of each user, while also carrying out the background processing for scoring and verifying content, and crucially for visualizing to the user. EUNOMIA uses social-science based co-design methodologies acknowledging and integrating users’ experiences of social media, specifically in how they use and trust the information they interact with. EUNOMIA’s versatility will be evaluated with large communities in social journalism and traditional media, as well as the largest user community of the most popular decentralised social media networks.

The introduction of the electricity market, the widespread diffusion of distributed generation from renewable and non-programmable energy sources and the need for storage are quickly changing the problems that Transmission and Distribution system operators have to face in their activity and are requiring a “smarter” grid. A first step in this direction is the development and installation of a flexible smart metering architecture for multiple energy vectors. Up to now the smart meters that in some countries are being installed at the users are nearly only devoted to billing improvements. The new metering systems must go much further to provide their contribution to various objectives such as end-user affordability of electricity, energy and market efficiency improvement, CO2 emissions and pollutants reduction. In the FLEXMETER project a flexible, multi-utility, multi-service metering architecture will be designed and deployed in two demonstrators. Simple off-the-shelf meters will be placed at the users for electric, thermal and gas metering; they will communicate with a building concentrator, where the “smartness” of the metering system will reside. A central cloud system will collect data from the building concentrators and from MV/LV substation meters. Data collection, fusion and mining algorithms will be adopted. The proposed architecture will allow for innovative services for the prosumers (e.g. analysis of the energy consumption), for the Distribution System Operators (DSOs) (e.g. fault detection, network balancing and storage integration) and for the retail market. Also demand side management devices could be plugged into the system. In the FLEXMETER project two pilot applications in two different countries (Italy and Sweden), on real systems, with the involvement of the local DSOs and volunteer prosumers will be demonstrated. The results on the demonstrators will then be scaled up to the size of the cities in order to evaluate the advantages on a real scale.