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The Data Driven Policy Cluster Roadmap: Using the European Cloud Infrastructure for Public Administrations

Authors: Data Driven Policy Cluster; Policy Cloud; DUET; Decido; IntelComp; AI4PublicPolicy;

The Data Driven Policy Cluster Roadmap: Using the European Cloud Infrastructure for Public Administrations

Abstract

Digital technologies have changed the world. Today people expect faster, seamless, on-demand services from their providers, and Governance is no exception. For better public services which make life easier for citizens. Public Sector decision making needs to become more agile, breaking down data silos to combine day-to-day tactical decisions with longer term policies and strategies. Disruptive technologies such as Digital Twins, Artificial Intelligence (AI) and High Performance Computing (HPC) unlock new opportunities for decision making through visualisations, simulations, predictions and intelligence that enhance transparency, increase public support and involvement, and optimise resources, handling data sources too large or complex to be handled by conventional tools. To support this transformation, AI4PublicPolicy, Decido, DUET, IntelComp and Policy Cloud, five pan-European projects and initiatives dedicated to using cloud for data-driven policy, have joined forces to raise awareness about their cross cutting work on data and cloud-based tools for data-driven decision making. The joint roadmap aims to describe how the Data Driven Policy Cluster contributes to using the European cloud infrastructure for public administrations, encouraging the public sector decision makers to embrace digital disruption and new innovative technologies in order to make more sustainable policy based on real-time information, predicted impact and citizen input.

Keywords

governance, policy making, policy, policy management

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selected citations
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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).
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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.
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.
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