D4.9: Initial data management plan reporting on applying FAIR principles in the RAYUELA action. This deliverable is part of the activities carried out in task 4.4. Open Data considerations for the project's research and development framework. The objective of this task is to identify resources developed in the scope of...
Deliverable 5.1 proposes a holistic validation approach to be applied to the testing of the RAYUELA serious game according to the landscape specifications compiled in WP1, WP2 and WP3. The validation plan in this document also defines the iterative validation and refinement approach for the initial prototypes of the se...
The subsequent Deliverable 5.2 ‘Recruitment Setup & Deployment’ will describe the mechanisms to recruit end-user according to the inclusion-exclusion criteria for each pilot study. It also details the organization and management of the supervised and unsupervised experimental and control groups, and the deploym...
D5.3: This deliverable focuses on the validation of the first release of the RAYUELA serious game developed in Task 3.3 and Task 3.4, including usability aspects and game mechanics. This validation has been performed through a total of 10 workshops organised with supervised testing groups in Belgium, Spain, Greece and ...
The "Pilot Studies Monitoring and Evaluation Results" deliverable provides a comprehensive analysis of the pilot studies conducted in various phases across multiple countries. It focuses on the continuous monitoring and supervision of the pilot studies, aiming to assess the effectiveness and impact of the RAYUELA solut...
Task 6.1. “Agent-based modeling and synthetic data generation” is the first task of WP6 in the RAYUELA project. Therefore, this deliverable represents the first output of this essential WP, which focuses on: Process and interpret the data gathered using the serious game developed in WP3 via Bayesian data analysis...
Task 6.2. “Automatic Feature Selection and Machine Learning Algorithm Training” is the second task of Work Package (WP) 6 in the RAYUELA project. In this deliverable, we will use the synthetic data generated in T6.1 and the actual data collected from RAYUELA pilots for analysing and identifying hidden patterns to c...
This deliverable represents the first outcome of Task 6.3 "Profile matching and definition of risk indicators for potential young victims and offenders", which is the third task of Work Package (WP) 6 in the RAYUELA project. This task obtains as input (from previous tasks) a series of potentially key identifiers/variab...
This deliverable represents the last outcome of Task 6.3 "Profile matching and definition of risk indicators for potential young victims and offenders", which is the third task of Work Package (WP) 6 in the RAYUELA project. This task obtains as input (from previous tasks) a series of potentially key factors/variables f...
The fourth task of Work Package (WP) 6 in the RAYUELA project aims to clarify and refine the results obtained for both victims and offenders of the cybercrimes under consideration. Since the project deals with such a sensitive topic as minors and cybercrime, the data-driven results and conclusions coming from task 6.2 ...