Few have been as deeply ingrained in the world of regulatory research, policy, and strategy as Cary Coglianese. The current director of the Penn Program on Regulation has specialized in regulation and regulatory approaches for years, with a focus on assessing alternative regulatory strategies and regulatory policy making. He is also the founder of The Regulatory Review, one of the web’s most comprehensive publications on regulatory news, analysis, and opinion, as well as erulemaking.org, a website dedicated to technological and institutional issues related to rulemaking.

As the author of ‘Listening, Learning, and Leading: A Framework for Regulatory Excellence’ (2015), he provided a general model of regulatory excellence that could be adapted by regulators across sectors to reflect their unique work and challenges.

Coglianese joined Ascend Radio host Paul Leavoy to discuss the biggest issues, challenges, and opportunities surrounding occupational regulation as well as the most remarkable and useful findings yielded by his decades of research and analysis of regulation.

In case you missed it, catch up on Part 1 of their conversation here. Picking up where they left off, their conversation concludes with a discussion of:

• Some of the most notable findings Coglianese has encountered across years of regulatory research;
• The role of regulation in combating the effects of climate change and achieving climate goals;
• The challenges of regulating AI and what shape regulation could take in the short and medium terms;
• How regulators and thought leaders can do a better job of highlighting ‘silent successes,’ and more.

To learn more about Coglianese’s work, check out these resources:

• ‘Defining and achieving regulatory excellence: A general framework for regulators’ – an Ascend Magazine piece that breaks down the key findings of Coglianese’s report on what makes an excellent regulator, ‘Listening, Learning, and Leading: A Framework for Regulatory Excellence’
• ‘Defining and achieving regulatory excellence Part 2: Recommendations and measurement’
• Cary Coglianese on regulating machine learning

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