The aim of this project is to bring together subject matter experts from the academic and non-academic sectors to create a holistic informatics platform for rapidly integrating genomic sequences, electronic health records (EHRs) and research repositories to enable personalised medicine strategies for malignant melanoma treatment. The consortium has engaged in a pre-proposal process with active clinical end users who have highlighted the need for more innovative approaches for the treatment of cancer - in particular the treatment of malignant melanoma, including inter alia the ability to rapidly query of geno-phenotype associations in melanoma such as the recently discovered rs2301641 SNP variability with ABCB5 function and CDK4 gene indicators . Hence we aim to develop a scalable HPC framework that allows the semantic interlinking between spatially distributed electronic patients’ health records, associated genomic sequences and published research, thereby allowing clinicians to make reasoned queries over vast knowledge bases for the diagnosis, treatment and management of malignant melanoma.

"<< Objectives >>No one is left behind in the digital transformation. Artificial Intelligence (AI) is changing the nature of work: jobs will be created, others will disappear, most will be transformed. Modernisation of education, at all levels, should be a priority for governments. All Europeans should have every opportunity to acquire the skills they need. Talent should be nurtured, gender balance and diversity encouraged"" while at the same time ensuring a high level of data protection, digital rights and ethic<< Implementation >>Handbook for Understanding Ethics in the field data and AIBased on a research on several levels to identify the gaps in adult education with regard to AI and data ethics in particular. E-learning platform - Ethics in AI dataCourse 1: Ethic and Big Data in the adult learning environmentCourse 2: AI and data driven Methodology in the Learning EnvironmentCourse 3: Learning AnalyticsCourse 4: Methods and Use of Learning Analytics and Big Data for an Individual Educational Approach in an ethics<< Results >>Increasing usage of AI in adult teaching and learning in the project countries.Increasing the competences in the field of AI and data ethics in the process of education for educators and learners 15,000learners from the EU and beyond over five yearsSuccessful project implementation at EU level in line with the EU AI initiative and in particular the EU guidelines on ethicsin artificial intelligenceCreating 7 new projects in the field of AICreating digital OERs"

PAROMA-MED will develop, validate and evaluate a platform - based hybrid-cloud delivery framework for privacy- and security- assured services and applications in federative cross-border environments. To this purpose, the project will develop new architectures, technologies, tools and services to support: - automatic attestation of federation partners - privacy- and security - by-design, integrating standard compliance and performance / QoS requirements into a policy framework - consumers with their rights for opt-in / opt-out consent, portability and right to be forgotten requests, as well as transparency in access to their private-data. - federative Identity and Access Management, based on Zero Trust principles, continuous risk assessment and on confidentiality, integrity and authenticity insurance - privacy-preserving and trusted data - storage and - processing in federative environments - flexible and secure access over the Internet to private-data and service resources - AI / ML by-design, integrating platform services to be used by application developers for data-intensive applications - Zero Touch deployment and automatic life-cycle management of services and applications - managed Privacy and Security operations for automated policy enforcement and cyberthreat detection and mitigation Efficiency and scalability will be insured by the implementation of cloud-native solutions, while future adoption and further development is insured by open-source implementations. The project will validate and evaluate the PAROMA-MED framework by developing of a comprehensive Use Case with real users in the Healthcare sector. The project will create impact on the application- creation and delivery ecosystem (including standardization and legal stakeholders), on society and environment and manage the impact via dedicated activities and communication channels.

Given the inability of Highly-Distributed-Application-Developers to foresee the changes as well as the heterogeneity on the underlying infrastructure, it is considerable crucial the design and development of novel software paradigms that facilitate application developers to take advantage of the emerging programmability of the underlying infrastructure and therefore develop Reconfigurable-by-Design applications. In parallel, it is crucial to design solutions that are scalable, support high performance, are resilient-to-failure and take into account the conditions of their runtime environment. Towards this direction, the ARCADIA project aims to design and validate a Novel Reconfigurable-By-Design Highly Distributed Applications Development Paradigm over Programmable Infrastructure. The proposed framework will rely on the development of an extensible Context Model which will be used by developers directly at the source-code level. Proper Context-Model will be assisted and validated by IDE-plugins (for many IDEs) in order to re-assure that the generated executable files contain meaningful semantics. According to ARCADIA’s vision, the generated executables should be on-boarded by a Smart Controller which will undertake the tasks of translating annotations to optimal infrastructural configuration. Such a controller will enforce an optimal configuration to the registered programmable resources and will pro-actively adjust the configuration plan based on the Infrastructural State and the Application State. The Context-Model and the aforementioned ARCADIA toolset will be complemented by a Development Methodology that will assure that developed Highly Distributed Applications are Reconfigurable-By-Design. The framework is planned to be validated and evaluated on three use cases that will be deployed over testbeds that host heterogeneous programmable infrastructure.