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Abstract

Science, technology, engineering, and math (STEM) training programs share an overarching goal of enhancing education and support for their students. The desire to understand student impact is shared across disciplines and training levels, which underscores the importance of how student access, engagement, and retention in STEM are measured.This presentation invites students, staff, and faculty to engage in conversations around inclusive demographics and share considerations for improving data science training to younger students.

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