Our project has the aim to put at the disposal of the magazines a cost-effective SaaS solution for exploring new business models that will allow them a sustainable migration to digital, opening up new strategies for monetization and thus promoting quality employment for journalists and audiovisual creators in the music field. And at the same time, MMAA project will empower music artists, bands, and label records with the most valuable insights on who and where are their fans, by means of big data analysis within and beyond the MMAA ecosystem, making possible to them a clear strategy to expand their audience, with tools to work on maintaining their loyalty and monetize it. Thus, the main objective for MMAA is two-fold: (1) to become the reference SaaS solution for music magazines, both at European and global level, for improving their digital development strategy in a sustainable way; and (2) create an innovative technological user-friendly ecosystem for artists to effectively succeed in the digital age. In order to reach the previous general goal the proposed MMAA project will develop and validate in a real-world pilot a Software as a Service (SaaS) product oriented to magazines’ and artists’ specific needs and realities, regarding Content Management, New Business Models, Big Data Analysis and Mobile/Digital Marketing. The ultimate goal for MMAA project is to create the reference music digital ecosystem for music, where all the value chain of a music fan is covered in an innovative and interactive way, allowing new business model for a sustainable growth on the digital age. We envision MMAA ecosystem as the reference online space for music lovers to: • Direct interaction with their favourite artists and other fans with similar tastes. • Access to the most comprehensive concert agenda available and buy tickets. • Access quality editorial content in a personalised way. • Buy any music or merchandising from their favourite artists. • Discover new artists and bands

The Modelling the European Data Economy (EuDEco) project will assist European sci-ence and industry in understanding and exploiting the potentials of data reuse in the context of Big and Open Data big data. The aim isto establish a self sustaining data market and thereby increase the competitiveness of Europe. To be able to extract the benefits of data reuse, it is crucial to know how to understand the underlying economic, societal, legal, and technological framework conditions and challenges to build useful applications and services. Despite the amount of activities in this domain, an effort is missing to develop use cases and business models that are economic viable, legally certain and taking societal needs and concerns into account. EuDEco will accomplish this by leveraging the engagement of other projects conducting pilots on data reuse as well as by the engagement of external experts and stakeholders. EuDEco moves beyond the classical approaches by applying the approach of complex adaptive systems to model the data economy in order to indentify value networks, use cases and business models for data reuse. In the course of the project will develop and refine the data economy model in several steps further by case studies on previous pilots on data reuse, by in-depth analysis from legal, socioeconomic and technological point of view, and by extensive tests of use cases and business models with other projects. Therefore it will analyse framework conditions relevant and challenges related to data reuse and the emergence of a self-sustaining data market. Finally, EuDEco will deliver a model of the data economy including viable use cases and business models as well as suggestions and recommendations addressing the main legal, contractual, societal, and technological concerns and challenges such as contractual framework or data protection. Above that EuDEco will develop an observatory for policy makers enabling them to track the development of the data economy.

Besides visual and tactile, the Next Generation Internet will rely more and more on voice interaction. This technology requires huge amounts of speech and language data in every language to reach state-of-the-art performance. The standard today is to store the voices of end users in the cloud and label them manually. This approach raises critical privacy concerns, it limits the number of deployed languages, and it has led to market and data concentration in the hands of big non-European companies such as Google, Facebook, etc. COMPRISE defines a fully private-by-design methodology and tools that will reduce the cost and increase the inclusiveness of voice interaction technology through research advances on privacy-driven data transformations, personalised learning, automatic labelling, and integrated translation. This leads to a holistic easy-to-use software development kit interoperating with a cloud-based resource platform. The sustainability of this new ecosystem will be demonstrated for three sectors with high commercial impact: smart consumer apps, e-commerce, and e-health. COMPRISE will address the mission-oriented challenges of privacy-by-design, inclusiveness, and cost-effectiveness in a sector-agnostic way; allow virtually unlimited collection of real-life non-private quality speech and language data; enable businesses in the Digital Single Market to quickly develop multilingual voice-enabled services in many languages; allow all citizens to transparently access contents and services available in other languages by voice interaction in their own language; result in cost savings for both technology providers and users. COMPRISE will find application in many sectors beyond those demonstrated, e.g., e-government, e-justice, e-learning, tourism, culture, media, etc. It will have a huge societal impact in terms of unprecedented verifiable privacy guarantees, service to speakers of under-resourced languages or accented speakers, and overall user experience.

The Sentinel missions and Copernicus Services provide a global view of environmental parameters of prime importance for climate and environmental research. The accuracy and high spatial resolution of the data play a crucial role in representing physical, chemical and biological processes. Models can develop precise parametrisations of these processes and of their complex interactions. HiSea, combing measurements and models, has an enormous potential to improve the understanding of the coastal environment. HiSea services will deliver information, readily available and with high resolution to fit seamlessly user‘s operation and management requirements. HiSea will provide a co-designed service that offers high resolution water quality data at sea answering to specific questions from the targeted port and the aquaculture sectors. HiSea will develop, in operational mode, novel Copernicus-based downstream services that will incorporate Copernicus Marine, Land and Climate Services Products, local monitoring data, and advanced modelling in the service integrated representing an added value for the potential Copernicus data users. The downstream service includes among others early warning alerts, alarms to potential risks for the daily activities; real time crisis management to simulate mitigation actions to adverse effects; automatic reporting on the key performance indicators; standard datasets; and building knowledge data base of cause-effect relations (business intelligence). From the data storage to the processing using Docker containers, the HiSea platform will be fully compliant to cloud deployment, prepared to DIAS infrastructure. The immediate market uptake of the HiSea services by the targeted ports and aquaculture users is guaranteed. Linking to the market and experience of the partners to deliver similar services, HiSea has the capability to demonstrate the proposed services at regional or even global scale.