Next generation earth systems science at the National Science Foundation

• Record Nr.: UNINA9910861967403321
• Autore: National Academies of Sciences Engineering, and Medicine
• Pubbl/distr/stampa: Washington, D.C. : , : National Academies Press, , 2022; ©2022
• ISBN: 0-309-22532-9
• Descrizione fisica: 1 online resource (137 pages)
• Altri autori (Persone): AffairsPolicy and Global; SciencesDivision on Engineering and Physical; EducationDivision of Behavioral and Social Sciences and; StudiesDivision on Earth and Life; FoundationCommittee on Advancing a Systems Approach to Studying the Earth : A Strategy for the National Science
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- FrontMatter -- Reviewers -- Contents -- Summary -- 1 Introduction -- 2 NSF's Role in Next Generation Earth Systems Science -- 3 Key Characteristics Needed for Next Generation Earth Systems Science at NSF -- 4 Implementing Next Generation Earth Systems Science at NSF -- Appendix A: Summary of Outreach Efforts -- Appendix B: Committee Biosketches -- Appendix C: Acronyms and Abbreviations.
• Sommario/riassunto: The National Science Foundation (NSF) has played a key role over the past several decades in advancing understanding of Earth's systems by funding research on atmospheric, ocean, hydrologic, geologic, polar, ecosystem, social, and engineering-related processes. Today, however, those systems are being driven like never before by human technologies and activities. Our understanding has struggled to keep pace with the rapidity and magnitude of human-driven changes, their impacts on human and ecosystem sustainability and resilience, and the effectiveness of different pathways to address those challenges.Given the urgency of understanding human-driven changes, NSF will need to ; sustain and expand its efforts to achieve greater impact. The time is ripe to create a next-generation Earth systems science initiative that emphasizes research on complex interconnections and feedbacks between natural and social processes. This will require NSF to place an increased emphasis on research inspired by real-world problems while maintaining their strong legacy of curiosity driven research across many disciplines ? as well as enhance the participation of social, engineering, and data scientists, and strengthen efforts to include diverse perspectives in research.