Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop (2022)
Chapter: Appendix A: Statement of Task
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Suggested Citation:
"Appendix A: Statement of Task." 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.
doi: 10.17226/26566.
Appendix A: Statement of Task
The National Academies of Sciences, Engineering, and Medicine will organize a workshop to bring together experts to explore the opportunities and challenges of machine learning and artificial intelligence (ML/AI) to advance Earth system science. The workshop will explore how these approaches can contribute to improving understanding, analysis, modeling, prediction, and decision making. Specific topics to be addressed could include:
- Review current applications of ML/AI to Earth system science.
- Survey emerging ML/AI technologies and approaches that could be useful for Earth system science, such as:
- Integrating physics, expert knowledge, and ML/AI techniques to enrich models and forecasts;
- Understanding and interpreting results produced by ML models; and
- Bridging research and operations to support decisionmaking.
- Consider challenges and risks of using ML/AI for Earth system science, and discuss ways to mitigate these risks, such as:
- Justice, equity, diversity, and inclusion (JEDI) and ethical implications;
- The interface of ML/AI with existing and emerging hardware, software, tools, and approaches;
- Workforce capacity and skill sets; and
- Data requirements and limitations.
- Identify future opportunities to accelerate progress, such as:
- Novel funding mechanisms and partnerships; and
- Potential disruptions that could lead to rapid scientific, societal, and/or institutional progress.
Suggested Citation:
"Appendix A: Statement of Task." 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.
doi: 10.17226/26566.
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Suggested Citation:
"Appendix A: Statement of Task." 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.
doi: 10.17226/26566.
Suggested Citation:
"Appendix A: Statement of Task." 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.
doi: 10.17226/26566.
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