Transforming EPA Science to Meet Today's and Tomorrow's Challenges

Transforming EPA Science to Meet Today's and Tomorrow's Challenges

Since its establishment in 1970, the mission of the Environmental Protection Agency is to protect human health and the environment. EPA develops regulations, ensures compliance, and issues policies, in coordination with state, tribal, and local governments. To accomplish its mission, EPA should be e...

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Detalles Bibliográficos
Autor principal: National Academies of Sciences, Engineering, and Medicine (author)
Autor Corporativo: National Academies of Sciences, Engineering, and Medicine, author (author)
Otros Autores: Engineering, National Academy of (-), Cultural, Ethical, Social, and Environmental Responsibility in Engineering Program, Studies, Division on Earth and Life, Board, Water Science and Technology, Toxicology, Board on Environmental Studies and, Ahead, Committee on Anticipatory Research for EPA's Research and Development Enterprise to Inform Future Environmental Protection: The Road
Formato: Libro electrónico
Idioma:Inglés
Publicado: Washington, D.C. : National Academies Press 2023.
Edición:1st ed
Colección:Consensus study report.
Materias:
Environmental management > United States.
Environmental policy > United States.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009803438306719
Tabla de Contenidos:
  • Intro
  • FrontMatter
  • Reviewers
  • Contents
  • Acronyms and Abbreviations
  • Summary
  • 1 Introduction
  • 2 ORD's Approach to Providing Forward-Looking Science
  • 3 A One Environment-One Health Approach for ORD
  • 4 Strengthening the Scientific and Technological Capabilities of the EPA Scientific Enterprise
  • 5 Acquiring and Applying Emerging Tools and Methods
  • 6 A Path Forward for Science for Environmental Protection
  • Appendix A: Committee Biosketches
  • Appendix B: Open Session Agendas
  • Appendix C: Monitoring for Exposure
  • Appendix D: Biotechnology
  • Appendix E: Participatory Research Approaches
  • Appendix F: Data Science and Machine Learning.

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