Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop

National Academies of Sciences, Engineering, and Medicine

doi:10.17226/26566

Proceedings

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Machine Learning and Artificial Intelligence to Advance Earth System Science

Opportunities and Challenges: Proceedings of a Workshop

(2022)

The Earth system - the atmospheric, hydrologic, geologic, and biologic cycles that circulate energy, water, nutrients, and other trace substances - is a large, complex, multiscale system in space and time that involves human and natural system interactions. Machine learning (ML) and artificial intelligence (AI) offer opportunities to understand and predict this system. Researchers are actively exploring ways to use ML/AI approaches to advance scientific discovery, speed computation, and link scientific communities.

To address the challenges and opportunities around using ML/AI to advance Earth system science, the National Academies convened a workshop in February 2022 that brought together Earth system experts, ML/AI researchers, social and behavioral scientists, ethicists, and decision makers to discuss approaches to improving understanding, analysis, modeling, and prediction. Participants also explored educational pathways, responsible and ethical use of these technologies, and opportunities to foster partnerships and knowledge exchange. This publication summarizes the workshop discussions and themes that emerged throughout the meeting.

Contributor(s): National Academies of Sciences, Engineering, and Medicine; Division on Earth and Life Studies; Division on Engineering and Physical Sciences; Board on Atmospheric Sciences and Climate; Board on Earth Sciences and Resources; Ocean Studies Board; Board on Mathematical Sciences and Analytics; Computer Science and Telecommunications Board; Rachel Silvern, Rapporteur

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Suggested Citation

National Academies of Sciences, Engineering, and Medicine. 2022. Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop. Washington, DC: The National Academies Press. https://doi.org/10.17226/26566.

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Publication Info

68 pages | 7 x 10 |

ISBNs:

Paperback: 978-0-309-68853-6
Ebook: 978-0-309-68856-7

DOI: https://doi.org/10.17226/26566

Chapters		skim
Front Matter	i-x
Overview	1-2
Introduction	3-8
Emerging Approaches for Using, Interpreting, and Integrating ML/AI for Earth System Science	9-18
Challenges and Risks of Using ML/AI for Earth System Science	19-30
Identifying Future Opportunities to Accelerate Progress	31-38
Closing Thoughts	39-42
References	43-48
Appendix A: Statement of Task	49-50
Appendix B: Planning Committee Biographies	51-54
Appendix C: Workshop Agenda	55-58

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