Fostering a Data-Centric Public Administration: Strategies, Policy Models and Technologies

Francesco Mureddu (), David Osimo, Angeles Kenny, Matthew Upson and Vassilios Peristeras
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David Osimo: The Lisbon Council for Economic Competitiveness and Social Renewal
Angeles Kenny: Public Digital
Matthew Upson: Public Digital
Vassilios Peristeras: European Commission

A chapter in Scientific Foundations of Digital Governance and Transformation, 2022, pp 217-244 from Springer

Abstract: Abstract The aim of this research is to understand what strategies, models and technologies can be deployed to transform the public administration into being more efficient, effective, fair and data-centric. To do that, the research team has carried out a set of 14 case studies in three analytical domains: the first is data strategies, policies and governance, which includes initiatives in the public sector both at the strategic level, such as data strategies, data governance and data management plans; and at organisational level, aimed to create units or departments, and to elaborate new processes and role; the second is policy modelling and simulation, considering initiatives to improve policy analysis through new data sources, robust and reliable models to perform ‘what-if’ scenarios, predictive analytics and hypothesis testing, and tools allowing policymakers to carry out scenario analysis through intuitive interfaces; the third and final domain concerns data technologies: new architectures, frameworks, tools and technologies to be used by public administrations to gather, store, manage, process, get insights and share data. Each set of cases has been subject to a cross-analysis in order to develop a number of policy take outs and recommendations.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:paitcp:978-3-030-92945-9_9

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DOI: 10.1007/978-3-030-92945-9_9

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