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CORDIS

SKILLAB: Monitoring The Demand And Supply Of Skills In The European Labour Market

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

SKILLAB Technical Specification (si apre in una nuova finestra)

A detailed technical report that will comprise (a) the systematic review of S-o-t-A analysis findings (both research and industrial) and lessons learnt along with limitations and challenges, (b) the SRS document (scope, functional/non-functional requirements and conceptual design), (c)the architecture, (d) the integration plan and (e) the testing strategy adopted for the SKILLAB platform. The reporting process will follow established standards such as a tailored version of the ISO/IEC/IEEE Std. 42010-2011This deliverable will be the outcome of Tasks 2.1, 2.2, and 2.3

Policy Brief First Version (si apre in una nuova finestra)

This is a Policy Brief Deliverable where the main intermediary results of the Digital Transformation Policymaking component will be presente in a format specifically targeting policy makers. It will accompany the relevant task of WP6.This deliverable will be the outcome of Tasks 6.2 and 6.3

Ethics Requirements First Report (si apre in una nuova finestra)

The Ethics Requirements Report (ERR) will be a unified document that will thoroughly outline the ethical issues and requirements of the SKILLAB proposal, focusing on data privacy, equality and information security. It will be delivered into two separate versions that will be updated according to the progress of the proposal, the provided data by the pilot cases as well as the plethora of data miners, software and functionalities that will be developed at these different timespans. This is the first version of the Ethics Requirement Report.

DEC Plan (si apre in una nuova finestra)

This deliverable will contain a detailed plan of the DEC activities that will be implemented and during the implementation of the project. It will provide an outline of DEC activities, detailes about their implementation, strategies and key points for effective dissemination along with any useful material that will be leveraged.This deliverable is the outcome of Task 6.1.

Project Website (si apre in una nuova finestra)

This deliverable concerns the project's official website that will be registered under the skillab-project.eu domain and will contain news about the proposal, public deliverables and insights.This deliverable is an outcome of Task 6.1.

Pubblicazioni

SKILLAB: Skills Matter (si apre in una nuova finestra)

Autori: Mihaela Aluas, Lefteris Angelis, Ioannis Arapakis, Elvira Arvanitou, Kostantinos Georgiou, Anastasios Gogos, Marco Jahn, Dionysios Kehagias, Valia Kordoni, Sebastian Macaluso, Nikolaos Mittas, Vasiliki Moumtzi, Rosaria Rossini, Sofia Tsekeridou, Dimitrios Tsoukalas, Christina Volioti, Apostolos Vontas, Vasileios Voulgarakis
Pubblicato in: 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2024
Editore: IEEE
DOI: 10.1109/SEAA64295.2024.00081

A Semi-Automated Approach for Resolving Data-Driven Architecture Mismatches (si apre in una nuova finestra)

Autori: Christos Karathanasis, Theodoros Maikantis, Nikolaos Nikolaidis, Apostolos Ampatzoglou, Alexander Chatzigeorgiou, Nikolaos Mittas
Pubblicato in: 2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C), 2024
Editore: IEEE
DOI: 10.1109/ICSA-C63560.2024.00007

SKILLAB: Creating a Skills Supply and Demand Data Space (si apre in una nuova finestra)

Autori: Konstantinos Georgiou, Rosaria Rossini, Marco Jahn, Dimitrios Tsoukalas, Vassilis Voulgarakis, Sofia Tsekeridou, Mihaela Aluas, Apostolos Vontas, Dionysios Kehagias, Nikolaos Mittas, Apostolos Ampatzoglou, Valia Kordoni, Alexander Chatzigeorgiou, Lefteris Angelis
Pubblicato in: Proceedings of the 4th Eclipse Security, AI, Architecture and Modelling Conference on Data Space, 2024
Editore: ACM
DOI: 10.1145/3685651.3686701

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