Law Commons^™

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 …

Fda In The Time Of Covid-19, Elizabeth Mccuskey

Faculty Scholarship

Over the past century, Congress has made the Food & Drug Administration (FDA) responsible for regulating the safety and efficacy of drugs and devices being deployed in the fight against the COVID-19 pandemic. The FDA’s regulatory infrastructure was built for public health threats and to combat manufacturers' misinformation about treatments.

This article spotlights the ways in which FDA has been adapting to a new challenge during the COVID-19 pandemic: combating misinformation emanating from within the executive branch.

Individual Preferences In Policy Analysis: A Normative Framework, Gabriel Weil

Scholarly Works

No abstract provided.

Net Neutrality: An Explainer, Kincaid C. Brown

Law Librarian Scholarship

Net neutrality is the idea that internet services or broadband providers should treat all content streaming through their systems the same, and providers who use their discretion to create “fast lanes,” block particular content, or throttle (slow down) internet speeds are not in keeping with how the internet ought to work.