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Full-Text Articles in Social and Behavioral Sciences
Deploying Machine Learning For A Sustainable Future, Cary Coglianese
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 …
Pledging, Populism, And The Paris Agreement: The Paradox Of A Management-Based Approach To Global Governance, Cary Coglianese
Pledging, Populism, And The Paris Agreement: The Paradox Of A Management-Based Approach To Global Governance, Cary Coglianese
All Faculty Scholarship
For many observers, the Paris Agreement signaled a historic breakthrough in addressing the problem of global warming. In its basic design, however, the Agreement is far from novel. Its dependence on each nation’s self-determined pledge to reduce greenhouse gases mirrors the domestic policy strategy called management-based regulation—a flexible regulatory approach that has been used to address problems as varied as food safety and toxic air pollution. In this article, I connect insights from research on management-based regulation to the international governance of climate change. Unfortunately, management-based regulation’s track-record at the domestic level gives little reason to expect that the Paris …