Women's Participation in Program Committees of Computing Symposia
Abstract
This paper follows an innovative characterization of Computer Science by evaluating an important part of its community: the female participation in event program committees. Our analyses reveal the importance of interdisciplinarity, and other initiatives may benefit from such results as well.
Keywords:
Gender Diversity, Women in Computer Science, Women in Exact Sciences
References
Aksnes, D. W., Piro, F. N., and Rørstad, K. (2019). Gender gaps in international researchcollaboration: a bibliometric approach. Scientometrics, 120(2):747–774.
Arruda, D. et al. (2009). Brazilian computer science research: Gender and regional distributions. Scientometrics, 79(3):651–665.
Burnett, M. M. et al. (2011). Gender pluralism in problem-solving software. Interacting with Computers, 23(5):450–460.
Burnett, M. M. et al. (2015). SIG: gender-inclusive software: What we know about building it. In ACM CHI – Extended Abstracts, pages 857–860.
da Silva Figueiredo, K., Vitorassi, R., Monteiro, E., and de Oliveira Carneiro, S. (2017). Percepções de alunas de ensino médio sobre as subáreas da computação. In SBC WIT.
Dray, S. M. et al. (2014). Perspectives on gender and product design. In ACM CHI –Extended Abstracts, pages 53–56.
Duarte, B. D., Moura, A. F. C., and Moro, M. M. (2019). Mulheres na Computação:Análises por Sub-Áreas. In SBC WIT, pages 174–178.
Duncan, A. et al. (2020). Enrollment motivations in an online graduate CS program: Trends & gender- and age-based differences. In ACM SIGCSE, pages 1241–1247.
Frieze, C. and Quesenberry, J. L. (2019). How computer science at CMU is attracting andretaining women. Commun. ACM, 62(2):23–26.
Galpin, V. (2002). Women in computing around the world. SIGCSE Bull., 34(2):94–100.
Garcia, D. et al. (2020). Institutions share successes, failures, and advice in moving the diversity needle. In ACM SIGCSE, pages 331–332.
Light, J. S. (1999). When computer were women. Tech. and Culture, 40(3):455–483.
Margolis, J. and Fisher, A. (2003). Unlocking the Clubhouse: Women in Computing. MIT Press, Revised edition.
Martins, A., Silva, J., Santos, J., and Rebouças, A. (2019). Fatores que Atraem e Afastam as Meninas de cursos da ́Area de TI. In SBC WIT, pages 114–118.
Mihalcea, R. and Welch, C. (2015). What Women Want: Analyzing Research Publications to Understand Gender Preferences in Computer Science. In AAAI Workshops.
Turban, S., Wu, D., and Zhang, L. (2019).Research: When gender diversity makes firms more productive. Harvard Business Review. https://hbr.org/2019/02/research-when-gender-diversity-makes-firms-more-productive.
Vachovsky, M. E. et al. (2016). Toward more gender diversity in CS through an artificial intelligence summer program for high school girls. In ACM SIGCSE, pages 303–308.
Wolz, U. et al. (2018). Best practices in academia to remedy gender bias in tech. In ACM SIGCSE, pages 672–673.
Arruda, D. et al. (2009). Brazilian computer science research: Gender and regional distributions. Scientometrics, 79(3):651–665.
Burnett, M. M. et al. (2011). Gender pluralism in problem-solving software. Interacting with Computers, 23(5):450–460.
Burnett, M. M. et al. (2015). SIG: gender-inclusive software: What we know about building it. In ACM CHI – Extended Abstracts, pages 857–860.
da Silva Figueiredo, K., Vitorassi, R., Monteiro, E., and de Oliveira Carneiro, S. (2017). Percepções de alunas de ensino médio sobre as subáreas da computação. In SBC WIT.
Dray, S. M. et al. (2014). Perspectives on gender and product design. In ACM CHI –Extended Abstracts, pages 53–56.
Duarte, B. D., Moura, A. F. C., and Moro, M. M. (2019). Mulheres na Computação:Análises por Sub-Áreas. In SBC WIT, pages 174–178.
Duncan, A. et al. (2020). Enrollment motivations in an online graduate CS program: Trends & gender- and age-based differences. In ACM SIGCSE, pages 1241–1247.
Frieze, C. and Quesenberry, J. L. (2019). How computer science at CMU is attracting andretaining women. Commun. ACM, 62(2):23–26.
Galpin, V. (2002). Women in computing around the world. SIGCSE Bull., 34(2):94–100.
Garcia, D. et al. (2020). Institutions share successes, failures, and advice in moving the diversity needle. In ACM SIGCSE, pages 331–332.
Light, J. S. (1999). When computer were women. Tech. and Culture, 40(3):455–483.
Margolis, J. and Fisher, A. (2003). Unlocking the Clubhouse: Women in Computing. MIT Press, Revised edition.
Martins, A., Silva, J., Santos, J., and Rebouças, A. (2019). Fatores que Atraem e Afastam as Meninas de cursos da ́Area de TI. In SBC WIT, pages 114–118.
Mihalcea, R. and Welch, C. (2015). What Women Want: Analyzing Research Publications to Understand Gender Preferences in Computer Science. In AAAI Workshops.
Turban, S., Wu, D., and Zhang, L. (2019).Research: When gender diversity makes firms more productive. Harvard Business Review. https://hbr.org/2019/02/research-when-gender-diversity-makes-firms-more-productive.
Vachovsky, M. E. et al. (2016). Toward more gender diversity in CS through an artificial intelligence summer program for high school girls. In ACM SIGCSE, pages 303–308.
Wolz, U. et al. (2018). Best practices in academia to remedy gender bias in tech. In ACM SIGCSE, pages 672–673.
Published
2020-06-30
How to Cite
LORENS, Ana Luiza C.; BOTELHO, Juliana Espíndola; MOURA, Ana Flávia C.; DUARTE, Bárbara D.; MORO, Mirella M..
Women's Participation in Program Committees of Computing Symposia. In: WOMEN IN INFORMATION TECHNOLOGY (WIT), 14. , 2020, Cuiabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 90-99.
ISSN 2763-8626.
DOI: https://doi.org/10.5753/wit.2020.11279.
