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D6.12 USE CASES IMPLEMENTATION AND EXPERIMENTATION M24

Authors: Duzha, Armend; Crespi, Daniele; Williams, Ben; Ali, Adil Mohammed; Sancho, Javier; del Hoyo, Rafael; Rodrig��lvarez, Vega; +5 Authors

D6.12 USE CASES IMPLEMENTATION AND EXPERIMENTATION M24

Abstract

This document is an incremental update of deliverable D6.4 and provides a description of the end-to- end (E2E) scenarios that will explore how policy makers will effectively use Policy Cloud platform as a part of the experimentation process. The given scenarios will include the different steps required in order to perform the modelling, implementation and validation of the policies and include details of the necessary configurations settings needed in order to determine the output for the visualisation. The E2E stories will be used to experiment the adaptability of the Policy Cloud platform in conjunction with several use case-based scenarios. This document will include at least one additional scenario from each pilot, currently under development and integration, and further details on additional scenarios that will be included in the upcoming deliverable D6.13 Use Cases Implementation & Experimentation M36 due in December 2022. The experimentation process for software usually consists of four phases definition, planning, operation and interpretation. Therefore, this approach was adopted for the design, implementation and experimentation of the E2E stories. Taking the four factors into consideration the E2E story descriptions have be used to achieve the definition and planning stages. The E2E helps explore how well the Policy Cloud platform can be adapted for various situations. Finally, this deliverable describes the experimentation methodology adopted and how it has been implemented by each use case. In particular, the details about the co-creation workshops are provided, including the agenda, list of participants, and a short summary of the general impressions and feedback.

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Keywords

use case, pilot, policymaking, policy, scenario, co-creation

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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