Public Administration Commons^™

The Deregulation Deception, Cary Coglianese, Natasha Sarin, Stuart Shapiro

All Faculty Scholarship

President Donald Trump and members of his Administration repeatedly asserted that they had delivered substantial deregulation that fueled positive trends in the U.S. economy prior to the COVID pandemic. Drawing on an original analysis of data on federal regulation from across the Trump Administration’s four years, we show that the Trump Administration actually accomplished much less by way of deregulation than it repeatedly claimed—and much less than many commentators and scholars have believed. In addition, and also contrary to the Administration’s claims, overall economic trends in the pre-pandemic Trump years tended simply to follow economic trends that began years earlier. …

Privacy Vs. Transparency: Handling Protected Materials In Agency Rulemaking, Christopher S. Yoo, Kellen Mccoy

All Faculty Scholarship

Agencies conducting informal rulemaking proceedings increasingly confront conflicting duties with respect to protected materials included in information submitted in public rulemaking dockets. They must reconcile the broad commitment to openness and transparency reflected in federal law with the duty to protect confidential business information (CBI) and personally identifiable information (PII) against improper disclosure.

This Article presents an analysis of how agencies can best balance these often-countervailing considerations. Part I explores the statutory duties to disclose and withhold information submitted in public rulemaking dockets placed on agencies. It also examines judicial decisions and other legal interpretations regarding the proper way to …

Administrative Law In The Automated State, Cary Coglianese

All Faculty Scholarship

In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were …

Administrative Law In A Time Of Crisis: Comparing National Responses To Covid-19, Cary Coglianese, Neysun A. Mahboubi

All Faculty Scholarship

Beginning in early 2020, countries around the world successively and then together faced the same rapidly emerging threats from the COVID-19 virus. The shared experience of this global pandemic affords scholars and policymakers a comparative lens through which to view how differences in countries’ governance structures and administrative responses affected their ability to manage the various crisis posed by the pandemic. This article introduces a special series of essays in the Administrative Law Review written by leading administrative law experts across the globe. Case studies focus on China, Chile, Germany, Italy, New Zealand, South Africa, and the United States, as …