PolicyCLOUD: A prototype of a Cloud Serverless Ecosystem for Policy Analytics
Ofer Biran, Oshrit Feder, Yosef Moatti, Athanasios Kiourtis,, Dimosthenis Kyriazis, George Manias, Argyro Mavrogiorgou, Nikitas M. Sgouros,, Martim Taborda Barata, Isabella Oldani, Mar\'ia Angeles Sanguino, Pavlos, Kranas

TL;DR
PolicyCLOUD introduces a flexible, serverless cloud platform for policy analysis, enabling data management, transformation, and insights with extensibility for external tools and a focus on legal and ethical considerations.
Contribution
It presents a novel extensible framework for policy analytics that integrates internal functions, external tools, and a legal-ethical framework within a serverless cloud environment.
Findings
Demonstrated application across four policy scenarios
Developed essential ingest and analytic functions
Showcased integration with external analytic tools
Abstract
We present PolicyCLOUD, a prototype for an extensible, serverless cloud-based system that supports evidence-based elaboration and analysis of policies. PolicyCLOUD allows flexible exploitation and management of policy-relevant dataflows by enabling the practitioner to register datasets and specify a sequence of transformations and/or information extraction through registered ingest functions. Once a possibly transformed dataset has been ingested, additional insights can be retrieved by further applying registered analytic functions. PolicyCLOUD was built as an extensible framework toward the creation of an analytic ecosystem. As of now, we developed several essential ingest and analytic functions that are built-in within the framework. They include data cleaning, enhanced interoperability, and sentiment analysis generic functions. PolicyCLOUD has also the ability to tap on the analytic…
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Taxonomy
TopicsScientific Computing and Data Management · Privacy-Preserving Technologies in Data · Explainable Artificial Intelligence (XAI)
