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Full-Text Articles in Public Affairs, Public Policy and Public Administration
The Waterfall Crisis, Guiliana G. Grisaffi
The Waterfall Crisis, Guiliana G. Grisaffi
English Department: Research for Change - Wicked Problems in Our World
While the Earth’s surface is 71% covered in water, that does not mean that one day all our water could be gone. The current global water crisis is not just a water crisis-it is a waterfall crisis. One wicked, terrible problem that leads to many other wicked problems, a waterfall crisis. Millions of women and young girls are taken out of work and school and instead forced to collect and gather fresh water for their families. Children are suffering from irreversible health consequences from toxic, contaminated water, an example of a health consequence is a lower IQ from lead poisoning. …
Environmental Soft Law As A Governance Strategy, Cary Coglianese
Environmental Soft Law As A Governance Strategy, Cary Coglianese
All Faculty Scholarship
Soft law governance relies on nongovernmental institutions that establish and implement voluntary standards. Compared with traditional hard law solutions to societal and economic problems, soft law alternatives promise to be more politically feasible to establish and then easier to adapt in the face of changing circumstances. They may also seem more likely to be flexible in what they demand of targeted businesses and other entities. But can soft law actually work to solve major problems? This Article considers the value of soft law governance through the lens of three major voluntary, nongovernmental initiatives that address environmental concerns: (1) ISO 14001 …
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 …