Overview of the legal instruments used in Europe and beyond to tackle cybercrime offenses by minors.
D4.6: Initial annotated presentation addressed to RAYUELA partners on relevant ethics principles to be respected in the action D4.7: Final annotated presentation addressed to RAYUELA partners on relevant ethics principles to be respected in the action.
Ethics code of conduct addressed to social researchers dealing with children and/or young people using serious games.
D4.9: Initial data management plan reporting on the application of FAIR principles in the RAYUELA action. D4.10: Final data management plan reporting on the application of FAIR principles in the RAYUELA action.
This deliverable will define the evaluation methodologies and tools to be applied to the testing of the RAYUELA solution against the user requirements and landscape specifications compiled in WP1 and 2. The validation plan will also define the iterative validation and refinement approach for the initial prototypes of t...
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...
These deliverables will provide the process and feedback collected in the 3 iterative workshops and supervised testing groups with the different stakeholders.
Report focuses on the continuous monitoring and supervision of the pilot studies in real learning environments. It builds upon the previously developed validation and assessment plan. In a systematic way, each pilot study will gather feedback about the usage of RAYUELA solutions, with special focus on the serious game....
Prototype of the agent-based simulator (code) that will allow simulating of different scenarios with different user profiles to generate synthetic data. The agents will be parametrized according to different social/psychological profiles.
The report will describe the different Machine learning algorithms designed to analyze the data collected during the RAYUELA project.