Nash, Meredith, and Robyn Moore. 2024. “In/visible: The Intersectional Experiences of Women of Color in Science, Technology, Engineering, Mathematics, and Medicine in Australia.” Gender, Work & Organization 31(3): 693–709. https://doi.org/10.1111/gwao.12908.
For decades, efforts to improve gender equity in STEMM (Science, Technology, Engineering, Mathematics, and Medicine) have largely treated «women in STEMM» as a homogenous group, often overlooking the unique challenges faced by women of color. A recent study sheds light on this gap, focusing on the experiences of 30 women of color working in Australia’s STEMM workforce, which remains dominated by white, male leadership. The research critiques how existing policies and initiatives fail to account for the specific barriers women of color face, primarily due to a lack of intersectional data that considers the multiple identity markers, such as race and gender, that shape these women’s experiences.
The Major Challenges:
In Australia, data collection and anti-discrimination laws typically overlook intersectional identities, which obscures the unique challenges faced by women of color in STEMM. This lack of nuanced data contributes to policies that are insufficient in addressing the particular needs of this group, leaving them underrepresented and unsupported. A key concept discussed in the article is the phenomenon of «in/visibility,» where women of color are both hypervisible and invisible in STEMM environments.
They are often treated as «tokens,» stereotyped based on race and gender, and burdened with “cultural taxation”—extra responsibilities related to diversity representation.
These women frequently experience heightened scrutiny, with their physical appearance, accents, and cultural identities drawing attention that detracts from their professional credibility. Despite these challenges, many women of color resort to “code-switching” to navigate the white, male-dominated culture of STEMM workplaces. This involves altering their names, appearance, and behavior to conform to dominant cultural norms. While code-switching can help reduce bias, it is emotionally and physically exhausting, as it requires constant self-monitoring to align with workplace expectations.
Conclusion:
The study concludes by emphasizing the need for an intersectional approach in both policy and research. Simply increasing the numerical representation of women in STEMM is not enough; the underlying power dynamics that perpetuate white male dominance must also be addressed.
The authors call for comprehensive data collection and institutional action to tackle systemic inequities based on race, gender, and other marginalized identities, to foster a more inclusive and equitable STEMM environment.
