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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 …
Anticipating Endangerment: The Biopolitics Of Threatened Species Lists, Irus Braverman
Anticipating Endangerment: The Biopolitics Of Threatened Species Lists, Irus Braverman
Journal Articles
The last two decades have witnessed an explosion of national and global lists of threatened and endangered species. This article draws on interviews with prominent list managers and observations of their assessments to explore the scientific practices of list-making in the context of species conservation. Delving into the complex calculations of risk and threat that take place in the process of ranking nonhuman species based on their probability of extinction, the article explores the threatened species list as a biopolitical technology of catastrophe governance. My focus on two prominent lists — the IUCN Red List of Threatened Species and NatureServe’s …
Hyperlegality And Heightened Surveillance: The Case Of Threatened Species Lists, Irus Braverman
Hyperlegality And Heightened Surveillance: The Case Of Threatened Species Lists, Irus Braverman
Journal Articles
My contribution to the Debate "Thinking about Law and Surveillance" focuses on the project of governing nonhuman species through care, briefly pointing to how law and surveillance are interwoven in this context and to how conservation's biopolitical regimes are increasingly becoming more abstract, standardized, calculable, and algorithmic in scope. I argue that conservation’s focus on governing through care lends itself to heightened modes of surveillance and to hyperlegality - namely, to the intensified inspection and regulation of both governed and governing actors. I start with some preliminary explanations about my atypical use of the terms surveillance, law, and biopolitics.