WP9 – Dissemination, Communication, and Exploitation

 Coordinated by
UTC (M01-M36)

Objective

Dissemination and Data Management

The following main targets will be addressed:

  • Make sure that dissemination of results is pro-actively covered and Data Management is addressed
  • Set-up and apply a dissemination strategy to spread BIECO results EU-wide
  • Set-up and apply a Data Management plan for open/restricted data and publication strategy
  • Plan and coordinate the participation in conferences, fairs, clustering events and inter-project harmonization, especially synchronization with other H2020 activities

Exploitation and Standardization

  • Identify and implement exploitation mechanisms with the partners and other EU industries to ensure uptake and portability of BIECO results beyond the planned applications within the project
  • Plan the standardization of BIECO project results

Summarize the overall BIECO outcome in an evaluation report for wide-spread communication

Communication

  • Support the website and all the social media
  • Communication media materials

Deliverables

Outcomes

MENTORS – Monitoring Environment for System of Systems

MENTORS - Monitoring Environment for System of Systems Authors: Antonello Calabrò, Said Daoudagh, Eda Marchetti Document type: Publication in Conference proceedings Publication: Proceedings of the 17th International Conference on Web Information Systems and...

GRADUATION: A GDPR-based Mutation Methodology

GRADUATION: A GDPR-based Mutation Methodology Authors: Said Daoudagh, Eda Marchetti Document type: Publication in Conference proceedings/Workshop Publisher: Quality of Information and Communications Technology. QUATIC 2021. Communications in Computer and Information...

Second F2F Meeting, Vienna

Second F2F Meeting, Vienna

The second BIECO F2F meeting held in Vienna from October 17-19, 2022, primarily aimed to discuss the BIECO project's current status, the use cases, and present an overview of the BIECO Framework. Additionally, the meeting focused on iterative improvements of the BIECO...

Reliability and Robustness of machine learning in Smart Ecosystems

Reliability and Robustness of machine learning in Smart Ecosystems

Within the Smart digital Ecosystems (SES), the utilization of AI, and Machine Learning (ML) in particular, becomes increasingly prevalent scenarios designed for elevating the user experience of a system's functional performance. The BIECO approach on building trust in...

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