Published July 30, 2020 | Version v1
Working paper Open

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

  • 1. Institute of Data Science, Maastricht University

Description

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.

Files

PolNetCast - Proposal Paper - Data for Policy- 65 - Hernández Serrano & Robinson.pdf