The goal of the OPERANDO project is to specify, implement, field-test, validate and exploit an innovative privacy enforcement platform that will enable the Privacy as a Service (PaS) business paradigm and the market for online privacy services. The OPERANDO project will integrate and extend the state of the art to create a platform that will used by independent Privacy Service Providers (PSPs) to provide comprehensive user privacy enforcement in the form of a dedicated online service, called “Privacy Authority”. The OPERANDO platform will support flexible and viable business models, including targeting of individual market segments such as public administration, social networks and Internet of Things. A key aspect addressed by OPERANDO is the need to simplify privacy for end users (data subjects). OPERANDO will support a simple Privacy Dashboard allowing users to specify their preferences. These will be automatically compared with Online Service Provider (OSP) privacy policies and translated into personal data access control decisions by the PSP. OPERANDO will also address OSP requirements for simplified privacy compliance checking and auditing, to verify that they will meet user expectations or to satisfy privacy regulators. The technology will be trialled in the health care and public administration sectors. The OPERANDO consortium thereby aims to contribute to the entire ecosystem of online privacy stakeholders: Users, PSPs, Online Service Providers and Regulators. Federation of Privacy Authorities will be supported to increase value of the services and their uptake. The OPERANDO platform will be positioned for endorsement by European governments and standardization bodies. To increase transparency of the privacy services and dissemination of results, OPERANDO outcomes will be implemented in Open Source, and will be made available to the community for evolution and value-adding beyond the scope of the project.

PANACEA will deliver people-centric cybersecurity solutions in healthcare. The Partners will execute on a leanly-orchestrated research workplan, which envisages continuous involvement of the end-user Partners at three European health care centres, including also devices utilised in remote care & homecare settings. Ultimately, PANACEA delivers two toolkits for cyber security assessment and preparedness of Healthcare ICT infrastructures and connected devices: the Solution Toolkit and the Delivery Toolkit. The first one comprisesfour technological tools (for dynamic risk assessment & mitigation, secure information sharing, security-by-design & certification, identification & authentication) and three organisational tools (for training & education, resilience governance, secure behaviours nudging). The second one, specifically supporting adoption of the solution toolkit, comprises two tools (methodology to evaluate the ROI of cybersecurity interventions, guidelines to adopt the solution toolkit and implement other ex-ante mitigation actions). The toolkit will benefit from ninePANACEA ambitious research goals, achieved by moving beyond the current state of the art in the strategic areas of dynamic risk assessment & mitigation (threat modelling, attack modelling, response management, visual analytics), blockchain for secure information sharing, identification/authentication (cryptographic authentication protocols, biometric recognition/digital identity, IoMT identification), secure behaviours decision models and influencers. Impact creation will be supported by designing and executing on an effective communication, dissemination and exploitation strategy involving all partners, from project onset. The PANACEA Consortium is committed, competent and complementary. The Consortium is led by a private hospital, supported by 3 research organisations, 3 large enterprises, 5 SMEs. Severalend-user scenarios, developed in Italy, Crete and Ireland, will provide a solid test-bed.

Health scientific discovery and innovation are expected to quickly move forward under the so called “fourth paradigm of science”, which relies on unifying the traditionally separated and heterogeneous high-performance computing and big data analytics environments. Under this paradigm, the DeepHealth project will provide HPC computing power at the service of biomedical applications; and apply Deep Learning (DL) techniques on large and complex biomedical datasets to support new and more efficient ways of diagnosis, monitoring and treatment of diseases. DeepHealth will develop a flexible and scalable framework for the HPC + Big Data environment, based on two new libraries: the European Distributed Deep Learning Library (EDDLL) and the European Computer Vision Library (ECVL). The framework will be validated in 14 use cases which will allow to train models and provide training data from different medical areas (migraine, dementia, depression, etc.). The resulting trained models, and the libraries, will be integrated and validated in 7 existing biomedical software platforms, which include: a) commercial platforms (e.g. PHILIPS Clinical Decision Support System from or THALES SIX PIAF; and b) research oriented platforms (e.g. CEA`s ExpressIF™ or CRS4`s Digital Pathology). Impact is measured by tracking the time-to-model-in-production (ttmip). Through this approach, DeepHealth will also standardise HPC resources to the needs of DL applications, and underpin the compatibility and uniformity on the set of tools used by medical staff and expert users. The final DeepHealth solution will be compatible with HPC infrastructures ranging from the ones in supercomputing centers to the ones in hospitals. DeepHealth involves 21 partners from 9 European Countries, gathering a multidisciplinary group from research organisations (9), health organisations (4) as well as (4) large and (4) SME industrial partners, with strong commitment towards innovation, exploitation and sustainability.

The CSI-COP project will investigate GDPR compliance to better understand how far we are being tracked-by-default as we use the Internet visiting websites and apps on our mobile devices. CSI-COP will engage citizen scientists to address the growing concerns in society around privacy issues, and the methods that attempt to ensure integrity in the collection and use of data. Regardless of background, a community of CSI-COP citizen scientists will be recruited from across Europe and beyond. A series of free-to-attend workshops and a MOOC will be developed with training material to informally educate about GDPR. CSI-COP’s community of citizen scientists will be a) fully trained to explore cookies and apps for embedded trackers, b) supported throughout their research, CSI-COP citizen scientists will investigate cookies on websites they normally visit, and apps on smart devices they use daily, and c) encouraged to record and report to the CSI-COP consortium the number and types of trackers they uncover in cookies and apps. CSI-COP’s well connected eleven partner consortium made up of seven universities, one non-profit, two SMEs and one Association will promote and support the citizen scientists as role models, with the university partners inviting them post-project as pro-privacy champions. The unique findings on digital trackers uncovered by the citizen scientists will be systematically mapped by CSI-COP consortium producing a taxonomy of trackers. The tracker taxonomy will be used to create an online repository. The repository will be available as an open-access knowledge resource on trackers embedded in cookies and apps. The knowledge resource will be a tool useful for a variety of stakeholders including data protection researchers, GDPR compliance regulators, tech journalists, software developers, parents, teachers, higher education curriculum developers, and any organisation that provides computers for public use such as libraries.