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REU Site: Integrating Machine Learning and Causal Principles for Civil and Environmental Engineers

US NSF grant open #nsf-2447649

Summary

Modern infrastructure faces unprecedented challenges due to urbanization and aging systems, which require innovative solutions that traditional engineering approaches alone cannot provide. This Research Experience for Undergraduates (REU) Site at Clemson University addresses a critical national need by training the next generation of civil and environmental engineers (CEE) to harness the power of machine learning (ML) and causal inference. The program will immerse 12 undergraduate students annually in an 8-week intensive research experience that tackles real-world infrastructure problems such

REU Site: Integrating Machine Learning and…
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