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Research . 2020
License: CC BY
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Other literature type . 2020
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Research . 2020
License: CC BY
Data sources: Datacite
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The case for computationally forecasting the evolving interactions between CJEU Judgements and EU legal acts to anticipate policy adoption

Authors: Serrano, Pedro V Hernández; Robinson, Laura;

The case for computationally forecasting the evolving interactions between CJEU Judgements and EU legal acts to anticipate policy adoption

Abstract

A computational framework is proposed that generates predictions regarding future litigation events related to EU law. This will enable policy-makers from member states to foresee issues on policy implementations resulting from releases of mandatory EU legislation. For example, transpositions often require adaptations to national legal systems, and it is crucial that any delays or problems regarding provisions implementation are minimized so that all citizens can fully benefit from EU laws. Reliable data-driven aid provides decision-makers with the opportunity to perform early social, economic and environmental assessments of legal initiatives and enable governments to be proactive and transparent on policy-making life-cycle processes.

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Netherlands
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Keywords

Machine Learning, Topological Features, EU law, Policymaking, Complex Networks

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selected citations
These citations are derived from selected sources.
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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