Measuring policy learning: regulatory impact assessment in Europe

By C. Radaelli. 2009

206 citations recorded by the source corpus.

Subfields: Political Science and International Relations, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/ad7a4e83247007c120f405a97159d93504e4fa0b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Political Science and International Relations

1. Michael Howlett
2. Daniel S. Schiff
3. M. Scipioni
4. Ishan Mukherjee
5. Karoline S. Rogge
6. P. D. del Río
7. F. Kern
8. J. J. Woo

In Strategy and Management

1. Michael Howlett
2. Daniel S. Schiff

Citations in the corpus

• Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021, methodology): “They may benefit from employing tools like policy or regulatory impact assessment (Radaelli 2009) and policy experiments (Bravo-Biosca 2019) to understand the implications of AIED for areas related to justice before instituting major policy reforms.”
• The lessons of failure: learning and blame avoidance in public policy-making (2012, background): “What kinds of learning contribute to enhanced policy outcomes or ‘policy success’ and under what circumstances? Despite the plethora of work on policy learning in the policy studies literature over the past several decades, both the independent variables (those factors that drive or contribute to le”
• The lessons of policy learning: types, triggers, hindrances and pathologies (2018, unknown): “Here social scientists who are sceptical of the romantic or benevolent bias of learning (Radaelli, 2009: 1147) will find their comfort zone.”