2021
DOI: 10.1177/00031348211029853
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A New Look at an Old Problem: Improving Diversity, Equity, and Inclusion in Scientific Research

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Cited by 7 publications
(6 citation statements)
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“…As AI gains increasing currency as a tool to direct healthcare decision-making, and recognizing that patient data set composition influences AI algorithmic outcomes, consideration of the racial and ethnic composition of patient data sets has become important in order to ensure equity of healthcare outcomes, specifically within the sphere of cancer care [138]. Nevertheless, despite legal requirements for representative inclusion of racial and ethnic minorities in health research, disparities persist; data sets used in AI-based algorithms continue to employ non-representative patient populations, undermining the validity of algorithmic decision-making [139,140]. Novel initiatives aim to improve and maintain broad population representation within health care data sets and across AI platforms.…”
Section: Facilitating Culturally Representative Ai Data Setsmentioning
confidence: 99%
“…As AI gains increasing currency as a tool to direct healthcare decision-making, and recognizing that patient data set composition influences AI algorithmic outcomes, consideration of the racial and ethnic composition of patient data sets has become important in order to ensure equity of healthcare outcomes, specifically within the sphere of cancer care [138]. Nevertheless, despite legal requirements for representative inclusion of racial and ethnic minorities in health research, disparities persist; data sets used in AI-based algorithms continue to employ non-representative patient populations, undermining the validity of algorithmic decision-making [139,140]. Novel initiatives aim to improve and maintain broad population representation within health care data sets and across AI platforms.…”
Section: Facilitating Culturally Representative Ai Data Setsmentioning
confidence: 99%
“…Without publications and grant funding, the researcher may not progress to next levels in academia. Thus, BIPOC authors may face hurdles in their ability to publish and be successful in the academy (Henry et al, 2021;Taffe & Gilpin, 2021;Willis, in press).…”
Section: Underrepresentation As An Ethical Issuementioning
confidence: 99%
“…Prior work in allied fields has found that BIPOC authors or authors working with BIPOC participants can experience bias in academic publishing (Gosztyla et al, 2021;Henry et al, 2021;Resnick & Elmore, 2016). In the absence of publicly available empirical data from ASHA and other CSD journals, we turn to data from other disciplines.…”
Section: Intersectional Bias In Peer Reviewmentioning
confidence: 99%
“…In all, these signs run counter to the "leaky pipeline" argument, which proposes that, if BIPOC authors complete enough diversity programming, they will be able to jump through gatekeeping mechanisms that white scientists control (see Valantine & Collins, 2015, for an argument proposing diversity programming for BIPOC authors as the way to diversify the workforce). To be antiracist, our community must dismantle systemic barriers in the peer review (IN)EQUITY IN PEER REVIEW IN CSD 13 process faced by BIPOC authors and those who conduct research with BIPOC communities (Gosztyla et al, 2021;Henry et al, 2021). We believe that this problem is necessary and urgent.…”
Section: Race/ethnicitymentioning
confidence: 99%
“…The consequences of inequity in peer review can play out in adverse ways over time and lead to increasingly racialized outcomes. If BIPOC authors face perpetual inequity in peer review, they will perpetually struggle to publish, which limits their ability to obtain grants to fund their research, carry out research, and to progress in their careers (Henry et al, 2021;Taffe & Gilpin, 2021;Willis, accepted). While rejection is normal in academia, the psychosocial consequences of rejection for BIPOC authors, who experience academic rejection at greater levels than white authors, may also contribute to limited ability to publish and pursue a career in the field.…”
Section: Race/ethnicitymentioning
confidence: 99%