“…For example, scholars have called for greater attention to equity, justice, and sociopolitical issues in learning sciences (Guttiérrez & Jurow, 2016; Sungupta-Irving & McKinney de Royston, 2020), data science (Green, 2021; Lewis & Stoyanovich, 2021), artificial intelligence in education (Lewis & Stoyanovich, 2021; Roscoe et al, 2022), and human factors and ergonomics (Roscoe et al, 2019), just to name a few. Such calls have been driven by rising awareness that inattention to DEIB results in potentially harmful outcomes, such as algorithmic bias in educational systems (Baker & Hawn, 2021) and excluding people from (or pushing them out) of relevant fields altogether (Roscoe, 2022).…”