Gender Diversity in STEM Disciplines: A Multiple Factor Problem

Lack of diversity, and specifically, gender diversity, is one of the key problems that both technological companies and academia are facing these days. Moreover, recent studies show that the number of female students enrolled in science, technology, engineering and mathematics (STEM) related disciplines have been decreasing in the last twenty years, while the number of women resigning from technological job positions remains unacceptably high. As members of a higher education institution, we foresee that working towards increasing and retaining the number of female students enrolled in STEM disciplines can help to alleviate part of the challenges faced by women in STEM fields. In this paper, we first review the main barriers and challenges that women encounter in their professional STEM careers through different age stages. Next, we focus on the special case of the information theory field, discussing the potential of gendered innovation, and whether it can be applied in the Information Theory case. The working program developed by the School of Engineering at the University of Valencia (ETSE-UV), Spain, which aims at decreasing the gender diversity gap, is then presented and recommendations for practice are given. This program started in 2011 and it encompasses Bachelor, Master and PhD levels. Four main actions are implemented: Providing institutional encouragement and support, increasing the professional support network, promoting and supporting the leadership, and increasing the visibility of female role models. To assess the impact of these actions, a chi-square test of independence is included to evaluate whether there is a significant effect on the percentage of enrolled female students. The percentage of graduated female students in the information and Communications Technology Field is also positioned with respect to other universities and the Spanish reference value. This analysis establishes that, in part, this program has helped to achieve higher female graduation rates, especially among Bachelor students, as well as increasing the number of top-decision positions held by faculty women.

[1]  Vashti Galpin,et al.  Gender imbalances in computer science at the University of the Witwatersrand , 1993, SGCS.

[2]  C. Vogt,et al.  Faculty as a Critical Juncture in Student Retention and Performance in Engineering Programs , 2008 .

[3]  Tony Doyle,et al.  Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy , 2017, Inf. Soc..

[4]  E. Duflo.  Women Empowerment and Economic Development , 2012 .

[5]  Ana M. González Ramos,et al.  Tick-tock sounds different for women working in IT areas , 2018, Community, Work & Family.

[6]  Amanda B. Diekman,et al.  Seeking Congruity Between Goals and Roles , 2010, Psychological science.

[7]  A. Eagly,et al.  Of men, women, and motivation: A role congruity account. , 2008 .

[8]  M. Heilman,et al.  Motherhood: a potential source of bias in employment decisions. , 2008, The Journal of applied psychology.

[9]  Tabetha A. Rabenberg.  Middle School Girls' STEM Education: Using Teacher Influences, Parent Encouragement, Peer Influences, And Self Efficacy To Predict Confidence And Interest In Math And Science , 2013 .

[10]  Jane Stout,et al.  STEMing the tide: using ingroup experts to inoculate women's self-concept in science, technology, engineering, and mathematics (STEM). , 2011, Journal of personality and social psychology.

[11]  M. Heilman.  Sex stereotypes and their effects in the workplace: What we know and what we don't know. , 1995 .

[12]  K. N. Smith,et al.  “Girl Power”: Gendered Academic and Workplace Experiences of College Women in Engineering , 2018 .

[13]  E. Elstad,et al.  The Influence of the Teacher’s Sex on High School Students’ Engagement and Achievement in Science , 2009 .

[14]  University Statistics , 2022, Nature.

[15]  M. Heilman.  Description and prescription: How gender stereotypes prevent women's ascent up the organizational ladder. , 2001 .

[16]  M. Heilman,et al.  Presumed incompetent? Stigmatization and affirmative action efforts. , 1992 .

[17]  Christina S. Morton,et al.  Can I really do this? Perceived benefits of a STEM intervention program and women’s engineering self-efficacy , 2017 .

[18]  Ming-Te Wang,et al.  Gender Gap in Science, Technology, Engineering, and Mathematics (STEM): Current Knowledge, Implications for Practice, Policy, and Future Directions , 2017, Educational psychology review.

[19]  Melissa E. Libertus,et al.  No intrinsic gender differences in children’s earliest numerical abilities , 2018, npj Science of Learning.

[20]  Margaret E. Beier,et al.  Overview: Self-Efficacy in STEM , 2009 .

[21]  Harris Mateen.  Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy , 2018 .

[22]  Wendy Faulkner,et al.  Gender in the Information Society: Strategies of Inclusion , 2007 .

[23]  Amanda B. Diekman,et al.  A Goal Congruity Model of Role Entry, Engagement, and Exit: Understanding Communal Goal Processes in STEM Gender Gaps , 2017, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[24]  M. Heilman.  Special issue: Gender in the workplace. Sex stereotypes and their effects in the workplace: What we know and what we don't know , 1995 .

[25]  Erica S. Weisgram,et al.  Girls and science careers: The role of altruistic values and attitudes about scientific tasks , 2006 .

[26]  A. Eagly,et al.  Social role theory. , 2012 .

[27]  Diana Bilimoria,et al.  The Leadership Lab for Women: Advancing and Retaining Women in STEM through Professional Development , 2017, Front. Psychol..

[28]  L. Schiebinger,et al.  Making gender diversity work for scientific discovery and innovation , 2018, Nature Human Behaviour.

[29]  Patrick Ian Armstrong,et al.  Men and things, women and people: a meta-analysis of sex differences in interests. , 2009, Psychological bulletin.

[30]  Adam Tauman Kalai,et al.  Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings , 2016, NIPS.

[31]  Ines Sanchez,et al.  Advancing Gender Equality in Research and Innovation in Europe and beyond: COST Network genderSTE , 2013 .

[32]  Madeline E. Heilman,et al.  The Affirmative Action Stigma Of Incompetence: Effects Of Performance Information Ambiguity , 1997 .

[33]  S. Sarangi,et al.  Women and corruption: What positions must they hold to make a difference? , 2014, Journal of Economic Behavior & Organization.

[34]  Madeline E. Heilman,et al.  Sex bias in work settings: The Lack of Fit model. , 1983 .

[35]  R. Payton.  The Facts , 1984, The Divide.

[36]  Erica S. Weisgram,et al.  Gender, values, and occupational interests among children, adolescents, and adults. , 2010, Child development.

[37]  Gendered research and innovation : inteGratinG sex and Gender analysis into the research process , 2022 .

[38]  M. Heilman,et al.  Why are women penalized for success at male tasks?: the implied communality deficit. , 2007, The Journal of applied psychology.

[39]  Michael I. Jordan,et al.  Machine learning: Trends, perspectives, and prospects , 2015, Science.