Regulatory data architecture
Guilty corporate minds: regulating corporate (mis) conduct
Enforcing good company behaviours and punishing corporate wrongdoings using laws designed to assess the intentions of individuals is fraught because corporate entities do not have minds. ‘Systems Intentionality’ seeks to offer a new, and workable, way to assess the intentions of a corporation.
Optimizing analytics for policymaking and governance
This review draws on a survey of professionals working in and with federal agencies to develop a more comprehensive understanding of how the government uses analytics, the outcomes of these efforts, and the challenges agencies face in their work to further develop analytical capabilities.
Market studies: making all the difference?
Market studies have recently risen to prominence in Australia’s competition policy. This article explains the role of market studies and makes the case that they are an important and complementary part of the toolkit for a competition enforcement agency.
Regulators’ experimentation toolkit: a guide to running regulatory experiments
This toolkit has been developed to provide regulators with a practical guide to identify, design, and carry out regulatory experiments.
Regulatory impact assessment: OECD best practice principles for regulatory policy
As part of the series OECD Best Practice Principles for Regulatory Policy, this report extends and elaborates on principles highlighted in the 2012 Recommendation of the Council on Regulatory Policy and Governance.
Regulatory analytics and data architecture (RADAR)
Rapid developments in cloud computing and data science have significantly reduced the cost and expanded the scope of possible analytics in the practise of financial regulation. However, the existing Organizational Architecture of regulatory interaction is still rooted in old models of data that sit in...