| Literature DB >> 35389476 |
Corrie S Moreau1,2, Andrea M Darby1, Amelia-Juliette C Demery2, Lina M Arcila Hernández2, Clara L Meaders3.
Abstract
Racism and bias are pervasive in society-and science, technology, engineering, and mathematics (STEM) fields are not immune to these issues. It is imperative that we educate ourselves and our students about the history and consequences of this bias in STEM, investigate the research showing bias toward marginalized groups, understand how to interpret misuses of science in perpetuating bias, and identify advances and solutions to overcome racism and bias throughout our professional and personal lives. Here, we present one model for teaching a universal course for participants of all professional stages to address these issues and initiate solutions. As very few institutions require students to enroll in courses on racism and bias in STEM or even offer such courses, our curriculum could be used as a blueprint for implementation across institutions. Ultimately, institutions and academic disciplines can incorporate this important material with more region and/or discipline specific studies of bias.Entities:
Keywords: STEM; bias; dialogue; diversity; equity; inclusion; inclusive pedagogy; racism; solutions
Mesh:
Year: 2022 PMID: 35389476 PMCID: PMC9053302 DOI: 10.1093/femspd/ftac006
Source DB: PubMed Journal: Pathog Dis ISSN: 2049-632X Impact factor: 3.951
Figure 1.Through science history, white supremacy and other systems of privilege have played an important role in shaping and whitewashing what we now call STEM and academia. Contributions to science from individuals of marginalized identities were and are still overlooked, underappreciated, and in several cases unacknowledged or stolen. The Science Behind Bias seminar recognizes the impact of these historic legacies and our current barriers to achieving inclusion and equity in STEM. Positive actions and behavioral changes are necessary to achieve equity and inclusion in STEM. In the seminar, participants integrate these historic legacies with their identity and positioning in the community to inform what actions they can take to create a more diverse and inclusive STEM. Quadrants in figure follow Adams and Bell (2016).
Course themes, learning outcomes, and suggested readings.
| Theme | Learning outcomes | Suggested readings |
|---|---|---|
| Historical racism in STEM—origins of the concept of race | To understand the origin of the term ‘race’, how the term manifested, and under what cultural contexts. | Hudson ( |
| Historical racism in STEM—experimentation on groups | To learn and synthesize the multiple ways in which human experimentation occurred through a lens of implicit bias. | Sartin ( |
| Historical racism in STEM—eugenics | To understand the history and origins of eugenics and its contemporary manifestations in primary literature. | Online video assignment (10 minute expert of ‘The Gene—an intimate history’ by Ken Burns on PBS). |
| Historical racism in STEM—the transatlantic slave trade and naturalists | To understand the historical context of racism and colonialism in STEM, and how it still benefits some fields and scientific societies. | Govier ( |
| Data and bias against women in STEM | To understand the manifestation of bias against women in STEM using primary literature. | Holman et al. ( |
| Data and bias against LGBTQIA + in STEM | To understand the manifestation of bias against LGBTQIA + in STEM using primary literature. | Broockman and Kalla ( |
| Data and bias against people with disabilities in STEM | To understand the manifestation of bias against people with disabilities in STEM using primary literature. | Lee ( |
| Data and bias against people of colour in STEM | To understand the manifestation of bias against people of colour in STEM using primary literature. | Hofstra et al. ( |
| Data and bias against first generation and low-income people in STEM | To understand the manifestation of bias against first generation and low-income people in STEM using primary literature. | Douglass and Thomson ( |
| Gender and racial bias in artificial intelligence | To understand how technology can be used to create and perpetuate bias. | Leavy ( |
| Myths born from bad, biased research | To understand how ongoing research continues to reinforce bias through the misuse of science. | Hill et al. ( |
| Systemic racism, bias, and exclusion in STEM: from the homework to the classroom, to the administration | To identify and design practices to promote diversity, equity, and inclusion in STEM. | Miller and Roksa ( |
| Progress on reducing racism, bias, and exclusion in STEM | To understand the progress in promoting diversity and inclusion in words vs. practice. | Bentley et al. ( |
| Identifying actionable steps to achieve equity and inclusion in STEM | To identify and design practices to promote diversity, equity, and inclusion in STEM. | Cooper et al. ( |
Figure 2.Community guidelines for Implicit Bias in STEM Seminar series. We give participants clear guidelines to engage in sensitive course material, grounding them in self-awareness through their identities and privilege. The overarching recommendation for participants is to be self-aware of the biases they bring into the classroom, and to use the guidelines for constructive engagement either with themselves or while interacting with other members of the course. Some of the guidelines were borrowed from the Cornell Intergroup Dialog Project—Engaging in Conversations on Racism faculty workshop, August 2020.