Recursos

Asociaciones Multinacionales de Mujeres en las Matemáticas

  • Comité por las Mujeres en las Matemáticas de la Unión Matemática Internacional Link
  • Mujeres Europeas en las Matemáticas Link
  • Asociación de Mujeres Matemáticas Africanas Link
  • Existen multiples asociaciones nacionales de mujeres en las matemáticas, la Unión Matemática Internacional mantiene un directorio en: Link


Asociaciones no gubernamentales con programas para promover la equidad de género en la ciencia.

  • Interamerican development bank Link
  • Organization for Women in the developing world Link
  • Interamerican Network of Academies of Science. Women for Science Program Link
  • Women in Global Science and Technology Link
  • UNESCO Women in Science program Link
  • Red mexicana de Ciencia Tecnología y Género Link


Sobre la importancia de la visibilidad (y temas relacionados)

  • A. Casadevall and J. Handelsman, The presence of female conveners correlates with a higher proportion of female speakers at scientific symposia, mBio 5 (2014), no. 1, e00846-13.
  • T. A. DiPrete and G.M. Eirich, Cumulative advantage as a mechanism for inequality: a review of theoretical and empirical developments, Annual Review of Sociology 32 (2006), 271–297.
  • A. H. Eagly and S. J. Karau, Role congruity theory of prejudice toward female leaders, Psychological Review 109 (2002), no. 3, 573–598.
  • E. Ries and S. Milstein, Seeking speakers, Startup Lessons Learned, August 8, 2012. Link
  • M. E. Heilman, M. C. Simon, and D. P. Repper, Intentionally favored, unintentionally harmed? impact of sexbased preferential selection on self-perceptions and self-evaluations, Journal of Applied Psychology 72 (1987), no. 1, 62–68.


Sobre acciones institucionales en pro de la diversidad en la academia

  • B. L. Keyfitz et al. , Women mathematicians in the academic ranks: a call to action, BIRS Workshop on Women in Mathematics (September 2006), final report. Link
  • O’ReillyMedia, Conference diversity. Link
  • A. Prasad, Conference diversity distribution calculator. Link
  • E. Ries, Why diversity matters (the meritocracy business), Startup Lessons Learned, February 22, 2010. Link
  • C. Stanton, How I got 50% women speakers at my tech conference, Geek Feminism, May 21, 2012. Link
  • R. E. Steinpreis, K. A. Anders, and D. Ritzke, The impact of gender on the review of the curricula vitae of job applicants and tenure candidates: a national empirical study, Sex Roles 41 (1999), no. 7/8, 509–528.
  • V. Valian, D. Sperber, et al., For gender equality at academic conferences. Link
  • V. Valian, Recruitment and retention: guidelines for chairs, heads, and deans, The Gender Equity Project, Hunter College, City University of New York, updated February 2011. Link (accessed November 17, 2014)
  • Feministe, Female conference speaker bingo: a bingo card full of excuses for not having more female speakers at STEM conferences. Link
  • JSConf EU 2012, Beating the odds—how we got 25% women speakers for JSConf EU 2012. Link
  • Sociedad Matemática Mexicana: Recomendaciones para la adecuada participación de grupos con baja representación en congresos de matemáticas. Link
  • WISELI, online brochures and booklets, Women in Science & Engineering Leadership Institute (Madison). Advancing women in science and engineering: advice to the top, Link ; Benefits and challenges of diversity in academic settings, Link ; Fostering success for women in science and engineering, Link ; Reviewing applicants: research on bias and assumptions, Link . Accessed July 28, 2014.
  • WISELI, Searching for Excellence & Diversity: A guide for search committees, Women in Science & Engineering Leadership Institute (Madison), 2012.


Sobre diversidad y ciencia (y temas relacionados)

  • J. Surowiecki, The difference difference makes: waggle dances, the Bay of Pigs, and the value of diversity, in The Wisdom of Crowds, Doubleday, 2004, 23–39.
  • N. D. Tyson, response to question during panel discussion, The Secular Society and its Enemies, Center for Inquiry, New York, 2007. response Link ; conference web site Link
  • E. L. Uhlmann and G. L. Cohen, “’I think it, therefore it’s true’: effects of self-perceived objectivity on hiring discrimination”, Organizational Behavior and Human Decision Processes 104 (2007), 207–223.
  • D. H. Uttal, Beliefs about genetic influences on mathematics achievement: A cross-cultural comparison,Genetica 99 (1997), 165–172.
  • K. Wellhousen, Do’s and don’ts for eliminating hidden bias, Childhood Education 73 (1996), no. 1, 36–39.
  • C. Wenneras and A. Wold, Nepotism and sexism in peer-review, Nature 387 (1997), 341–343.
  • Women in Number Theory, Female Number Theorists. Link


Sobre género y ciencia.

  • C. Good, A. Rattan, and C. S. Dweck, Why do women opt out? Sense of belonging and women’s representation of mathematics, Journal of Personality and Social Psychology 102 (2012), no. 4, 700–717.
  • N. M. Else-Quest, J. S. Hyde, and M. C. Linn, Cross-national patterns of gender differences in mathematics: a meta-analysis, Psychological Bulletin 136 (2010), n o. 1, 103–127.
  • B. A. Barres, Does gender matter? Nature 442 (2006), 133–136
  • Feminist Philosophers, Gendered conference campaign, initial version December 9, 2009. Link
  • L. Guiso, F. Monte, P. Sapienza, and L. Zingales, Culture, gender, and math, Science 320 (2008), 1164–1165.
  • M. E. Heilman, A. S. Wallen, D. Fuchs, and M. M. Tamkins, Penalties for success: reactions to women who succeed at male gender-typed tasks, Journal of Applied Psychology 89 (2004), no. 3, 416–427.
  • J. S. Hyde and J. E. Mertz, Gender, culture, and mathematics performance, Proc. Nat. Acad. Sci. USA 106 (2009), 8801–8807.
  • J. M. Kane and J. E. Mertz, Debunking myths about gender and mathematics performance, Notices of the AMS 59 (2012), no. 1, 10–21.
  • G. Martin, An annotated bibliography of work related to gender in science. Link
  • G. Martin, Addressing the underrepresentation of women in mathematics conferences. Link
  • E. Pronin, T. Gilovich, and L. Ross, Objectivity in the eye of the beholder: perceptions of bias in self versus others, Psychological Review 111 (2004), 781–799.
  • E. Reuben, P. Sapienza, and L. Zingales, How stereotypes impair women’s careers in science, Proceedings of the National Academy of Science of the USA 111 (2014), no. 12, 4403–4408.
  • C. L. Ridgeway, Gender, status, and leadership, Journal of Social Issues 57 (2001), no. 4, 637–655.
  • C. L. Ridgeway and S. J. Correll, Unpacking the gender system: a theoretical perspective on gender beliefs and social relations, Gender and Society 18 (2004), no. 4, 510–531.
  • L. Sinclair and Z. Kunda, Motivated stereotyping of women: she’s fine if she praised me but incompetent if she criticized me, Personality and Social Psychology Bulletin 25 (2000), no. 11, 1329–1342.
  • K. Snyder, The abrasiveness trap: high-achieving men and women are described differently in reviews, Fortune.com, August 26, 2014. Link
  • S. J. Spencer, C. M. Steele, and D. M. Quinn, Stereotype threat and women’s math performance, Journal of Experimental Social Psychology 35 (1999), 4–28.