The Intersectional Experiences of Black Women in Computing

Efforts to broaden participation in computing have led to gender-focused interventions intended to increase the number of women in the field of computing. However, such efforts have failed to significantly increase the percentage of Black women in computing. For example, only 1% of the 28,884 bachelor\textquotesingle s degrees in computing were awarded to Black women in 2018. Moreover, too few empirical studies have intentionally explored the lived experiences of Black women, an often overlooked and understudied population in the computing ecosystem. In this paper, we introduce intersectionality - the complex overlap of socially constructed identities such as race, gender, class, sexuality, etc. - as a theoretical framework and springboard for exploring the lived experiences of Black women in computing. We interview 14 Black women in various stages of the computing ecosystem (undergraduate students, graduate students and early career professionals) to understand how intersectionality influences their ability to persist in computing. Preliminary findings from the analysis of the 14 interviews provides insights into how the interlocking systems of oppression (i.e., gendered racism) play out in computing education and negatively impact the recruitment and retention of Black women in the field of computing.

[1]  Pamela Jordan Basics of qualitative research: Grounded theory procedures and techniques , 1994 .

[2]  Joe R. Feagin,et al.  Double Burden: Black Women and Everyday Racism , 1997 .

[3]  Maria Ong,et al.  Counterspaces for women of color in STEM higher education: Marginal and central spaces for persistence and success , 2018 .

[4]  Apriel K. Hodari,et al.  New enactments of mentoring and activism: U.S. women of color in computing education and careers , 2014, ICER '14.

[5]  Carol Frieze,et al.  Culture and environment as determinants of women's participation in computing: revealing the "women-CS fit" , 2006, SIGCSE '06.

[6]  Lecia Jane Barker,et al.  Student and Faculty Perceptions of Undergraduate Research Experiences in Computing , 2009, TOCE.

[7]  Jakita O. Thomas,et al.  The Computational Algorithmic Thinking (CAT) Capability Flow: An Approach to Articulating CAT Capabilities over Time in African-American Middle-school Girls , 2018, SIGCSE.

[8]  A. Applewhite,et al.  Why so few women , 2002 .

[9]  Jakita O. Thomas,et al.  Food for Thought: Supporting African American Women's Computational Algorithmic Thinking in an Intro CS Course , 2019, SIGCSE.

[10]  A. Davis Black Feminist Thought: Knowledge, Consciousness and the Politics of Empowerment , 1993 .

[11]  Sheena Erete,et al.  Equitable approaches: opportunities for computational thinking with emphasis on creative production and connections to community , 2020, Interact. Learn. Environ..

[12]  James Davis,et al.  Culturally Situated Design Tools: Generative Justice as a Foundation for STEM Diversity , 2017 .

[13]  Sandra Jackson,et al.  Feminist Theory: From Margin to Center , 1985 .

[14]  Juan E. Gilbert,et al.  Toward culturally responsive computing education , 2013, CACM.

[15]  Yolanda A. Rankin,et al.  Speaking Truth to Power: Exploring the Intersectional Experiences of Black Women in Computing , 2018, 2018 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT).

[16]  Terrell R. Morton,et al.  #BlackGirlMagic: The identity conceptualization of Black women in undergraduate STEM education , 2018, Science Education.

[17]  C. Hill,et al.  Why So Few? Women in Science, Technology, Engineering, and Mathematics. , 2010 .

[18]  Caitlin K. Martin,et al.  Digital Youth Divas: Exploring Narrative-Driven Curriculum to Spark Middle School Girls’ Interest in Computational Activities , 2017 .

[19]  Allan Fisher,et al.  Unlocking the Clubhouse : Women in Computing by Allan Fisher , 2015 .

[20]  Maria Ong,et al.  The status of women of color in computer science , 2011, Commun. ACM.

[21]  Lawrence R. Benson,et al.  Hidden Figures: The American Dream and the Untold Story of the Black Women Mathematicians Who Helped Win the Space Race , 2017 .

[22]  Mary Aleta White,et al.  COMPUGIRLS’ Standpoint , 2013 .

[23]  Ryoko Yamaguchi,et al.  Intersectionality in the narratives of black women in computing through the education and workforce pipeline , 2019, Journal for Multicultural Education.

[24]  S. Harding Rethinking Standpoint Epistemology : What is « Strong Objectivity? » , 1992 .

[25]  K. Crenshaw Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics , 1989 .

[26]  Kimberly A. Scott,et al.  Traversing a Political Pipeline: An Intersectional and Social Constructionist Approach Toward Technology Education for Girls of Color , 2016 .

[27]  Jakita O. Thomas,et al.  Leveraging Food as the Context for Developing Computational Algorithmic Thinking in an Entry-Level College Course , 2017 .

[28]  Kimberly M. Sheridan,et al.  Culturally responsive computing: a theory revisited , 2015 .

[29]  K. Crenshaw,et al.  Critical Race Theory: The Key Writings That Formed the Movement , 1996 .

[30]  R. Estrella,et al.  Stuck in the Shallow End Education , Race , and Computing , 2008 .

[31]  Penny Rheingans,et al.  A Model for Increasing Gender Diversity in Technology , 2018, SIGCSE.

[32]  Lorelle L. Espinosa,et al.  Inside the Double Bind: A Synthesis of Empirical Research on Undergraduate and Graduate Women of Color in Science, Technology, Engineering, and Mathematics , 2011 .

[33]  Shirley Malcom,et al.  The Double Bind: The Next Generation , 2011 .

[34]  Apriel K. Hodari,et al.  Enabling courage: Agentic strategies of women of color in computing , 2015, 2015 Research in Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT).