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D6.13 USE CASES IMPLEMENTATION AND EXPERIMENTATION M36

Authors: Baroni, Samuele; Crespi, Daniele; Sancho, Javier; del Hoyo, Rafael; Rodrigálvarez, Vega; Georgieva, Ana D.; Tarlyovska, Metodiyka; +2 Authors

D6.13 USE CASES IMPLEMENTATION AND EXPERIMENTATION M36

Abstract

This document is the final update of deliverables D6.4 [1] and D6.12 [2] and provides a description of the end-to-end (E2E) scenarios that explored how policy makers effectively used PolicyCLOUD platform as a part of the experimentation process. The given scenarios encompass the different steps required to perform the modelling, implementation and validation of the policies and include details of the necessary configuration settings needed in order to determine the output for the visualisation. The E2E stories were used to experiment the adaptability of the PolicyCLOUD platform in conjunction with several use case-based scenarios. This document describes all the workshops organized by the pilot users and all the scenarios integrated in the platform for each Use Case during the last months of the project (January 2022 – 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 these four phases into consideration the E2E scenarios description has been used to implement the definition and planning stages. The E2E scenarios help to explore how well the PolicyCLOUD platform can be adapted for various situations. Finally, this deliverable describes the experimentation methodology adopted and how it has been applied to 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

Policy Cloud, big data, policymaking, data driven, public authorities, policy management, co-creation

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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