
About
Naomi Alterman is an Adjunct Lecturer at the University of Illinois School of Information and a Technical Education Specialist/Data Science Fellow at the University of Washington's eScience Institute. She holds an MS and BS in Electrical Engineering from Stanford University. Her work bridges technology education, inclusive pedagogy, and community building in STEM.
Her research focuses on inclusive pedagogy at entrances to the STEM learning pipeline and developing engineering communities of practice. She explores how educational frameworks can broaden participation in technology fields, with emphasis on ethical machine learning instruction and accessible computer science education.
Her sole publication (2019) centers on integrating ethics into machine learning curricula through innovative storyboarding techniques. This aligns with her broader focus on responsible technology education and pedagogical innovation.
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