SOURCE-LINKED INTELLIGENCE

Integrating behavioural insights and machine learning for smarter regulatory interventions

CORDIS · observation · Publication date unknown

Integrating behavioural insights and machine learning for smarter regulatory interventions Effective regulatory decision-making is essential for addressing complex societal challenges, yet current approaches often rely on intuition and standardized solutions that fail to account for behavioral, cultural, and contextual factors. BEHAVREG will transform regulatory governance by developing an innovative decision aid tool that integrates machine learning with behavioral science to predict likely compliance outcomes of regulatory choices and enable more effective intervention design. This project leverages comprehensive datasets, including ex-ante impact assessments and post-implementation reviews, to develop sophisticated predictive models that assess intervention effectiveness across diverse contexts. The tool analyzes critical factors such as compliance costs, social control mechanisms, institutional trust, and cultural norms

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR