Statistical and Data-driven Methods for Additive Manufacturing Qualification

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Description

This workshop will explore opportunities to use statistical and data-driven methods for additive manufacturing qualification, including approaches that enhance dimensional accuracy and recent advances and future directions in statistics, data analytics, artificial intelligence, and machine learning. A planning committee appointed by the National Academies of Sciences, Engineering, and Medicine will organize a workshop to examine the following topics:

Approaches th...

Eligible Applicants- Unrestricted

Additional Eligibility Information

The workshop is open to researchers from different additive manufacturing communities, statisticians, data scientists, and artificial intelligence/machine learning experts.

Funding TypeotherCategories of Funding Activity- Computers and Information Technology- Engineering and Technology- Math, Chemistry, and Physics- Surveys and Statistics

Grantor Contact InformationMichelle SchwalbeGrantor Emailmschwalbe@nas.eduOther Grantor InformaitonThe National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide independent, objective advice to inform policy with evidence, spark progress and innovation, and confront challenging issues for the benefit of society. They are comprised of three academies: the National Academy of Sciences, the National Academy of Engineering, and the National Academy of Medicine. The organization convenes hundreds of conferences, workshops, and symposia annually, bringing together leading experts from academia, public, and private sectors. Their work focuses on providing high-quality, evidence-based consensus on complex scientific, engineering, and health-related challenges. They produce peer-reviewed reports, publish scientific journals, and serve as a trusted source of expert advice for policymaking. The National Academies mobilize approximately 6,000 top experts each year who volunteer their time and knowledge to conduct policy studies, workshops, and other activities aimed at addressing critical issues facing the nation and world.

Additional informationThe workshop aims to bring together domain researchers, statisticians, data scientists, and AI/machine learning experts to share ideas, best practices, and opportunities, and to identify new research program areas to advance additive manufacturing. Additional URLs:

https://nap.nationalacademies.org/27939

Supporting Linkhttps://www.nationalacademies.org/our-work/statistical-and-data-driven-methods-for-additive-manufacturing-qualification

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