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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Why Aim Law Toward Human Survival, John William Draper
Why Aim Law Toward Human Survival, John William Draper
Librarian Scholarship at Penn Law
Our legal system is contributing to humanity’s demise by failing to take account of our species’ situation. For example, in some cases law works against life and supports interests such as liberty or profit maximization.
If we do not act, science tells us that humanity bears a significant (and growing) risk of catastrophic failure. The significant risk inherent in the status quo is unacceptable and requires a response. We must act. It is getting hotter. When we decide to act, we need to make the right choice.
There is no better choice. You and all your relatives have rights. The …
On Environmental, Climate Change & National Security Law, Mark P. Nevitt
On Environmental, Climate Change & National Security Law, Mark P. Nevitt
All Faculty Scholarship
This Article offers a new way to think about climate change. Two new climate change assessments — the 2018 Fourth National Climate Assessment (NCA) and the United Nations Intergovernmental Panel’s Special Report on Climate Change — prominently highlight climate change’s multifaceted national security risks. Indeed, not only is climate change a “super wicked” environmental problem, it also accelerates existing national security threats, acting as both a “threat accelerant” and “catalyst for conflict.” Further, climate change increases the intensity and frequency of extreme weather events while threatening nations’ territorial integrity and sovereignty through rising sea levels. It causes both internal displacement …
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 …
Problems Of Equity And Efficiency In The Design Of International Greenhouse Gas Cap-And-Trade Schemes, Jason S. Johnston
Problems Of Equity And Efficiency In The Design Of International Greenhouse Gas Cap-And-Trade Schemes, Jason S. Johnston
All Faculty Scholarship
This article argues that international greenhouse gas (GHG) cap-and-trade schemes suffer from inherent problems of enforceability and verifiability that both cause significant inefficiencies and create inevitable tradeoffs between equity and efficiency. A standard result in the economic analysis of international GHG cap and trade schemes is that an allocation of initial permits that favors poor, developing countries (making such countries net sellers in equilibrium) may be necessary not only to further redistributive goals but also the efficiency of the GHG cap and trade scheme. This coincidence of equity and efficiency is, however, unlikely to be realized under more realistic assumptions …