SOURCE-LINKED INTELLIGENCE
Networks and the Rule of Law: Uncovering Socio-Economic Outcomes
the interaction of rule of law and concentration of powers, analyzing the effect on formal and informal judicial and prosecutorial independence. Using state-of-the-art data techniques such as causal machine learning and multi-layer network analysis, the project generates original knowledge on causes of rule of law weakening and the impact on socio-economic outcomes such as growth, inequality, and trust. The project’s innovative character stems from: · The broad and multi-disciplinary perspective on rule of law. · The integration of different approaches studying the impact of networks on public goods. · The gathering and analysis of new, actionable datasets. · The use of innovative data science, econometric, network and text analysis techniques. · The exploration of the conditions under which citizens defend the rule of law. · The design of interventions supporting rule of law based on experimental data and input from stakeholders. Networks, rule of law, socio-economic outcomes, citizens, social norms, values, executive, legislation, regulation, judiciary, prosecutorial autonom
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2999983.75
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.