Public Administration Commons^™

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 …

Deploying Machine Learning For A Sustainable Future, Cary Coglianese

All Faculty Scholarship

To meet the environmental challenges of a warming planet and an increasingly complex, high tech economy, government must become smarter about how it makes policies and deploys its limited resources. It specifically needs to build a robust capacity to analyze large volumes of environmental and economic data by using machine-learning algorithms to improve regulatory oversight, monitoring, and decision-making. Three challenges can be expected to drive the need for algorithmic environmental governance: more problems, less funding, and growing public demands. This paper explains why algorithmic governance will prove pivotal in meeting these challenges, but it also presents four likely obstacles that …

Reflections On The Effects Of Federalism On Opioid Policy, Matthew B. Lawrence

Dickinson Law Review (2017-Present)

No abstract provided.

Transparency And Algorithmic Governance, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …

Administrative Law: The U.S. And Beyond, Cary Coglianese

All Faculty Scholarship

Administrative law constrains and directs the behavior of officials in the many governmental bodies responsible for implementing legislation and handling governance responsibilities on a daily basis. This field of law consists of procedures for decision making by these administrative bodies, including rules about transparency and public participation. It also encompasses oversight practices provided by legislatures, courts, and elected executives. The way that administrative law affects the behavior of government officials holds important implications for the fulfillment of democratic principles as well as effective governance in society. This paper highlights salient political theory and legal issues fundamental to the U.S. administrative …

Agenda-Setting In The Regulatory State: Theory And Evidence, Cary Coglianese, Daniel E. Walters

All Faculty Scholarship

Government officials who run administrative agencies must make countless decisions every day about what issues and work to prioritize. These agenda-setting decisions hold enormous implications for the shape of law and public policy, but they have received remarkably little attention by either administrative law scholars or social scientists who study the bureaucracy. Existing research offers few insights about the institutions, norms, and inputs that shape and constrain agency discretion over their agendas or about the strategies that officials employ in choosing to elevate certain issues while putting others on the back burner. In this article, we advance the study of …

A Framework For Understanding Property Regulation And Land Use Control From A Dynamic Perspective, Donald J. Kochan

Donald J. Kochan

Private Enforcement Of Statutory And Administrative Law In The United States (And Other Common Law Countries), Stephen B. Burbank, Sean Farhang, Herbert M. Kritzer

All Faculty Scholarship

Our aim in this paper, which was prepared for an international conference on comparative procedural law to be held in July 2011, is to advance understanding of private enforcement of statutory and administrative law in the United States, and, to the extent supported by the information that colleagues abroad have provided, of comparable phenomena in other common law countries. Seeking to raise questions that will be useful to those who are concerned with regulatory design, we briefly discuss aspects of American culture, history, and political institutions that reasonably can be thought to have contributed to the growth and subsequent development …

Much Ado About Nothing?, Cary Coglianese

All Faculty Scholarship

Policy scholars and decision makers should be careful before concluding that President Bush's recent Executive Order 13422 will result in "paralysis by analysis." That lament has been heard about other changes to rule making procedures over the last seven decades, yet steady increases in the cost and volume of federal regulations during that time period clearly indicate that paralysis has yet to set in. Administrative procedures are embedded within a complex web of politics, institutions, and organizational behavior. Within that web, procedures are but one factor influencing government agencies.