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The National Science Foundation's "Women, Minorites, and Persons with Disabilities in Science and Engineering"[1] (2021) report presents statistical information on the eduational attainment and employment of women, underrepresented racial minorities (URM).
Race imbalance in STEM fields

According to the the National Science Board's "The STEM Labor Force Today: Scientists, Engineers, and Skilled Technical Workers" (2021), which provides statistical data on the U.S. Science, technology, engineering, and mathematics labor force, people of color remain underrepresented in STEM occupations.[2] Using American Community Survey data, Asians represent 9%, Whites 65%, Hispanics 14%, and Blacks 9% of the STEM labor force.
Education and Degree Attainment
Employment, Occupation, and Income
Effects of Underrepresentation of POC in STEM
Explanations for underrepresentation of POC
Societal
Social
Institutional
Psychological
Personal/Individual
Stem Identity
Experiences of people of color in STEM
Discrimination
Sense of Belonging
In-School
In-Workplaces
Strategies for increasing representation of POC in STEM

For Educators
Role models
Mentors

For Society
For Learner
See also
Wikimedia Commons has media related to CCDiversifying Science2022/sandbox.
- Sex and intelligence
- International Conference of Women Engineers and Scientists
- Women in science
- Women in computing
- Association for Women in Science
- Association for Women in Mathematics
- Stereotype threat
- Pygmalion effect
- Black sheep effect
- Beyond Bias and Barriers
- Implicit stereotypes
- Glass ceiling
- Inequality in the workplace
- STEM fields
- Heuristics in judgment and decision making
- Category:Organizations for women in science and technology
- Margaret W. Rossiter History of Women in Science Prize
- Matilda effect
References
Notes
- ^ "Women, Minorities, and Persons with Disabilities in Science and Engineering: 2021 | NSF - National Science Foundation". ncses.nsf.gov. Retrieved 2022-01-21.
- ^ a b "The STEM Labor Force of Today: Scientists, Engineers, and Skilled Technical Workers | NSF - National Science Foundation". ncses.nsf.gov. Retrieved 2022-01-21.
Sources
This article incorporates text from a free content work. Licensed under CC-BY-SA IGO 3.0 (license statement/permission). Text taken from A Complex Formula: Girls and Women in Science, Technology, Engineering and Mathematics in Asia, 15, 23–24, UNESCO, UNESCO. UNESCO.
This article incorporates text from a free content work. Licensed under CC BY-SA. Text taken from Cracking the code: girls' and women's education in science, technology, engineering and mathematics (STEM), UNESCO.
This article incorporates text from a free content work. Licensed under C-BY-SA 3.0 IGO. Text taken from To be smart, the digital revolution will need to be inclusive, Bello et al., UNESCO.
Further reading
- American Association of University Women (2010). Why So Few?
- American Association of University Women - official website and career development grants for women: [1]
- WIOA - Workforce Innovation and Opportunity Act
- Natarajan, Priyamvada, "Calculating Women" (review of Margot Lee Shetterly, Hidden Figures: The American Dream and the Untold Story of the Black Women Mathematicians Who Helped Win the Space Race, William Morrow; Dava Sobel, The Glass Universe: How the Ladies of the Harvard Observatory Took the Measure of the Stars, Viking; and Nathalia Holt, Rise of the Rocket Girls: The Women Who Propelled Us, from Missiles to the Moon to Mars, Little, Brown), The New York Review of Books, vol. LXIV, no. 9 (25 May 2017), pp. 38–39.
- World Economic Forum "Global Gender Gap 2020"
- Campero S. 2020. "Hiring and Intra-occupational Gender Segregation in Software Engineering." American Sociological Review.