PolicyCLOUD: A prototype of a cloud serverless ecosystem for policy analytics. (28th November 2022)
- Record Type:
- Journal Article
- Title:
- PolicyCLOUD: A prototype of a cloud serverless ecosystem for policy analytics. (28th November 2022)
- Main Title:
- PolicyCLOUD: A prototype of a cloud serverless ecosystem for policy analytics
- Authors:
- Biran, Ofer
Feder, Oshrit
Moatti, Yosef
Kiourtis, Athanasios
Kyriazis, Dimosthenis
Manias, George
Mavrogiorgou, Argyro
Sgouros, Nikitas M.
T. Barata, Martim
Oldani, Isabella
Sanguino, María A.
Kranas, Pavlos
Baroni, Samuele - Abstract:
- 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 to it. PolicyCLOUD was built as an extensible framework toward the creation of an analytic ecosystem. As of now, we have 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; in addition, a trend analysis function is being created as a new built-in function. PolicyCLOUD has also the ability to tap on the analytic capabilities of external tools; we demonstrate this with a social dynamics tool implemented in conjunction with PolicyCLOUD, and describe how this stand-alone tool can be integrated with the PolicyCLOUD platform to enrich it with policy modeling, design and simulation capabilities. Furthermore, PolicyCLOUD is supported by a tailor-made legal and ethical framework derived from privacy/data protection best practices and existing standards at the EU level, which regulates the usage andAbstract: 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 to it. PolicyCLOUD was built as an extensible framework toward the creation of an analytic ecosystem. As of now, we have 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; in addition, a trend analysis function is being created as a new built-in function. PolicyCLOUD has also the ability to tap on the analytic capabilities of external tools; we demonstrate this with a social dynamics tool implemented in conjunction with PolicyCLOUD, and describe how this stand-alone tool can be integrated with the PolicyCLOUD platform to enrich it with policy modeling, design and simulation capabilities. Furthermore, PolicyCLOUD is supported by a tailor-made legal and ethical framework derived from privacy/data protection best practices and existing standards at the EU level, which regulates the usage and dissemination of datasets and analytic functions throughout its policy-relevant dataflows. The article describes and evaluates the application of PolicyCLOUD to four families of pilots that cover a wide range of policy scenarios. … (more)
- Is Part Of:
- Data & policy. Volume 4(2022)
- Journal:
- Data & policy
- Issue:
- Volume 4(2022)
- Issue Display:
- Volume 4, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 4
- Issue:
- 2022
- Issue Sort Value:
- 2022-0004-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-11-28
- Subjects:
- algorithm bias -- cloud-based analytics -- evidence-based policy practice -- management of data for policies -- privacy and data protection
Policy sciences -- Periodicals
Policy sciences -- Statistical methods -- Periodicals
Policy sciences -- Data processing -- Periodicals
Decision making -- Data processing -- Periodicals
320.60727 - Journal URLs:
- https://www.cambridge.org/core/journals/data-and-policy ↗
- DOI:
- 10.1017/dap.2022.32 ↗
- Languages:
- English
- ISSNs:
- 2632-3249
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24794.xml