#include <meninas.uff>: Deconstructing Stereotypes as a Tool for Empowering Women in Computer Science

Authors

  • Luciana Salgado Fluminense Federal University
  • Karin Calaza Fluminense Federal University
  • Iris Herdy Fluminense Federal University
  • Simone Martins Fluminense Federal University
  • Raissa Barcellos Fluminense Federal University
  • Meirylene Avelino Fluminense Federal University

DOI:

https://doi.org/10.5753/compbr.2022.48.2755

Keywords:

Women in Computer Science, Women Empowerment

Abstract

In a society full of socioeconomic inequalities and powerful forces that directly affect women, the deconstruction of stereotypes and education in information technology can open the doors for the empowerment of this group. This article shares actions of the extension project #include<meninas.uff> to promote gender equity in Computing.

 

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References

AREAS, R.; ABREU, A.R.P.; SANTANA, A.E.; BARBOSA, M.C.; NOBRE, C. Gender and the scissors graph of Brazilian science: from equality to invisibility. osf.io/m6eb, 2020.

NIELSEN, M. W. et al. Gender diversity leads to better science. PNAS, 114 (8): 1740-1742, 2017.

STEELE, C. M; ARONSON, J. Stereotype threat and the intellectual test performance of African Americans. J. Pers Soc Psychol, 69: 797–811, 1995.

CALAZA, K. C.; ERTHAL, Fátima et al. Facing Racism and Sexism in Science by Fighting Against Social Implicit Bias: A Latina and Black Woman’s Perspective. Front. Psychol. 12:671481, 2021. doi: 10.3389/fpsyg.2021.671481.

AVELINO, M; SALGADO, L.C.C.; MOCHETTI, K; BRAVO, R.; LEITÃO. C. Factors Affecting Female Students Motivation Related to Enrollment and Retention in Information Technology Courses. Clei Electronic Journal, Volume 22, Number 2, 2019.

DRUMMOND, B.M; SALGADO, L.C.C. ; VITERBO, J. What Are the Challenges Faced by Women in the Games Industry? Anais do XVI Women in Information Technology, (WIT CSBC), 2022 (aceito para publicação).

Published

2022-08-07

How to Cite

Salgado, L., Calaza, K., Herdy, I., Martins, S., Barcellos, R., & Avelino, M. (2022). #include &lt;meninas.uff&gt;: Deconstructing Stereotypes as a Tool for Empowering Women in Computer Science. Brazil Computing, (48), 34–37. https://doi.org/10.5753/compbr.2022.48.2755

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