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Titlebook: US Environmental Policy in Action; Sara R. Rinfret,Michelle C. Pautz Book 20192nd edition The Editor(s) (if applicable) and The Author(s)

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Book 20192nd edition particular importance in our current era of congressional gridlock, increasing partisan rhetoric, and escalating debates about federal/state relations. Now in its second edition, this volume includes updated case studies, two new chapters on food policy and natural resource policy, and revised publ
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Environmental Policy in Action: Past, Present, and Future,rate that environmental policy is far more than any one branch at one level of government. Readers will be reminded of the multitude of actors involved in this policy area and shown how they can get involved in these issues at the local, state, and federal level and let their voice be heard, whatever their opinions are about environmental issues.
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Book 20192nd editionice of US environmental policy during the Trump administration. Providing real-life examples of how environmental policy works rather than solely discussing how congressional action produces environmental laws, .US Environmental Policy in Action. offers a practical approach to understanding contemporary American environmental policy..
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The Development and Context of American Environmental Policy,ith sharp turns taken in the past. The final section of this chapter explores the role of scientific knowledge and information in environmental policy discussions. Many of the insights we can draw about environmental issues can be understood by how American society views scientific information.
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The Messy Process of Making Environmental Policy, process that is often messy, vague, and unpredictable. We update this chapter to include a more robust discussion of policy failure, as it is a particularly salient topic in today’s political landscape. After demonstrating the complexity of the policymaking process, we then consider the challenge of federalism in crafting policy.
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efficiently evaluate or approximate the function without disclosing data. The number of algorithms that have been developed for privacy-preserving classification continues to grow. The methods presented here capture some of the key concepts that are being used in these algorithms.
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