Tag: Gender Inequality

Maths Through Stories: A Profile of Dr Natthapoj Vincent Trakulphadetkrai

Dr. Natthapoj Vincent Trakulphadetkrai founded MathsThroughStories.org, a non-profit research-based initiative which sets out to encourage teachers and parents globally to help children learn mathematics more effectively and, equally important, more enjoyably through storytelling. The website offers various evidence-based and freely available resources, including support for children to make their own stories. One of the research projects he leads, Representation of Girls and Women in Mathematics-specific Picturebooks, finds that female characters are significantly underrepresented in mathematical picturebooks when compared to their male counterparts.

Can you start off by telling us a little bit about your research that led to this project? In particular, why is it important to feature gender and race/ethnic diversity in learning mathematics through storytelling?

MathsThroughStories.org draws from a body of research over the past three decades that highlights pedagogical benefits of teaching mathematical concepts through storytelling, particularly in the form of story-picture books. One of these research projects has been conducted in a few different countries (including England, Ireland, and Malta). It is an investigation into teachers’ self-reported frequency of using story-picture books in their mathematics instruction as well as their perceived barriers to (and perceived enablers for) the integration of stories in mathematics teaching. A key finding is that while early years practitioners regularly make use of storytelling as part of their daily mathematics teaching, teachers of primary (elementary) school children (5-11 years old) are much less aware of such teaching approach. The principal reported barrier is the lack of awareness (and hence pedagogical knowledge) of how story-picture books can be incorporated into mathematics teaching. Thus, MathsThroughStories.org wants to help raise teachers’ awareness in this area, and to essentially encourage them in giving this approach a go.

In terms of why it is important to feature gender and race/ethnic diversity in mathematical stories, I draw from the idea of Weitzman, Eifler, Hokada and Ross (1972), that picture books are read to children when they are most impressionable and when they are forming their self-images and future expectations of themselves. Imagine a classroom where the teacher only reads mathematical stories where boys and men are always the protagonist solving problems using their mathematical knowledge and skills, while girls and women are secondary characters lurking behind a tree. If you are a girl listening only to stories with such characteristics, how would you see yourself in relation to mathematics now and in the future? Thus, as educators and parents, we need to critically examine what otherwise seems to be a very colourful, cute and harmless educational resource.

A young girl looks up thoughtfully as she writes in class
How would girls see themselves in mathematics?

 

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What to do When Facing YAMMM (Yet Another Mostly Male Meeting)

When University Of California (Davis) Professor of Evolutionary Biology, Professor Jonathan Eisen, was scheduled to speak at a meeting on Metagenomics in the Era of Big Data, he found himself in a bit of a pickle – or more to the point, a YAMMM. This stands for: yet another mostly male meeting. The male speakers outnumbered women 21:6. He considered his options. In the past, he has submitted a conference abstract in protest, A quantitative analysis of gender bias in quantitative biology meetings. He has also written to organisers and publicly called them out on their gender exclusion. This time, he considered not going, but then came up with a clever approach to tackling YAMMM.

YAMMM - Yet Another Mostly Male Meeting
Tackling YAMMM

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Gender Bias in STEM: A Southern Perspective

By Cathy Newman

Cathy Newman gives a postgraduate student perspective on how local culture impacts on the careers of women in STEM, and why it’s important for women students to learn about the challenges of gender bias as part of their education and career planning.

Last month, the College of Science at Louisiana State University hosted a Women in STEM event. The event consisted of a keynote address followed by a panel discussion, the latter of which I attended. All speakers were LSU alumni holding or retired from prominent STEM positions.

Panelists were the following:

  1. Dr. Karen Adler Storthz: professor emerita at the University of Texas Health Science Center,
  2. Sorcha Clary: project engineer for Marathon Petroleum.
  3. Judea Goins-Andrews: director of school engagement for Louisiana at Project Lead the Way,
  4. Rebecca Guidry: clinical medical physicist at Mary Bird Perkins Cancer Center,
  5. Pat Bodin: former chief information officer and VP of global information for ExxonMobil.
Louisiana State University Women in STEM
LSU Women in STEM panel (Left to right): Dr Adler Storthz; Sorcha Clary; Judea Goins-Andrews; Rebecca Guidry; Pat Bodin. Photo: Cathy Newman (copyright)

As a graduate student in biology at a major research university, I rarely have the opportunity to interact with women in STEM careers outside of academia, so I especially appreciated that the panel included women in industry and education/outreach. The panel also spanned a wide range of career stages, from a few years out of college, to retired. Despite the wide range of careers and career stages represented on the panel, the advice to early career STEM women was remarkably consistent, emphasizing self-confidence, assertiveness, and patience.

I live tweeted the panel discussion. Here are some of the highlights.

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Astronomical Sexism: Rosetta #ShirtStorm and Everyday Sexism in STEM

The world has been abuzz with news that the Rosetta spacecraft landed on a comet 500 million kilometres from Earth, in an attempt to collect vital data about the origins of our solar system. The aim is to benefit humanity. Unfortunately, this event is also marred for women in STEM and our allies due to the pervasive power of sexism. Rosetta Project scientist Matt Taylor chose to wear a shirt with semi-nude women, effectively telling the world and our next generation of STEM workers that sexism is still very much part of our professional culture.

By the way, this is not the first time he’s publicly worn this shirt. He tweeted that he received the shirt as a present in early October and none of his 2,700 followers on Twitter paid attention. Most worrying is that he is photographed in an office – which suggests he may have worn this shirt to work and none of his management nor colleagues pointed out the inappropriate attire.

This comes only a couple of weeks since The New York Times declared that sexism in academia is dead (as we noted, this claim was based on a highly flawed study). What this wardrobe choice says is that some male scientists in strategic positions for major science organisations do not see equality as a serious issue. Taylor works for the European Space Agency and he is prominently featured on a NASA website.

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Sexism in Academic Science: Analysis of The New York Times Op-Ed

Here is an examination of the scientific flaws in the recent New York Times (NYT) Op-Ed: “Academic Science Isn’t Sexist.” The Op-Ed authors, psychologists Professor Wendy Williams and Professor Stephen Ceci, put forward various wide-sweeping statements about the effect of gender on academic careers of women scientists. The article outlines the fact that women make up a minority of junior faculty members, particularly in maths-intensive fields like engineering and computer science (25%-30%) and an even smaller proportion in senior positions (7%-15%).

Williams and Ceci argue that much of the empirical studies that established gender inequality in academia are outdated (mostly published prior to the year 2000). They argue that more recent data show that inequality has been diminished in academia. The researchers claim that women are promoted and remunerated at the same rate as men – except in economics. Williams and Ceci further argue that women’s numbers have been steadily growing in the life sciences and psychology. They note that the proportion of women in maths-intensive fields has also been growing, but not as much. Their analysis attempts to explain why this is the case.

The central argument presented in their NYT article is that women would fare well in maths-intensive subjects, “if they choose to enter these fields in the first place.” To put it another way, the problem as they see it, is that gender inequality is a myth, and that the discrepancies between men and women would be reduced if women chose to stay in STEM.

The Op-Ed is based on the co-authors’ study published in November in the journal, Psychological Science in the Public Interest. In their study, Ceci is first author and they are joined by two economists, Professor Donna Ginther and Professor Shulamit Kahn. The research team see that the sex variations within the fields of Science, Technology, Engineering and Mathematics (STEM) represent a “contradiction” and a “paradox.” The logic of their argument is that because there are more women in STEM fields today in comparison to the 1970s, and because there are different patterns of attrition amongst various disciplines, this is evidence that sexism in academia is a moot point. The crux of their argument is simple: if there are differences between men and women’s career trajectories in STEM, these arise from personal preferences, and not due to a culture of sexism.

The are several problems with the Op-Ed, which overly simplifies the body of literature the authors reviewed, but the analysis of study itself is highly flawed. The most glaring issues include the concepts used, such as the authors’ confusion of sex and gender and how these relate to inequality. Another set of problems arise from the authors’ methods. Put simply: the way they measure gender inequality does not match the data they have available, and their interpretation and conclusions of the data are therefore invalid. In science, a study can be seen to be valid when the phenomenon measured matches the instruments used. The concepts, data collection and analysis need to match the authors’ research questions. This is not the case with this study.

Let’s start with the key concept the authors measured: gender inequality, which is also discussed as “academic sexism.”

Sexism in Academic Science
Sexism in Academic Science

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Nature vs Nurture: Girls and STEM

This article was originally published on the Nature Soapbox Science blog. It was written by STEM Women managers Zuleyka Zevallos, Buddhini Samarasinghe and Rajini Rao.

In a New England pub after a conference, our male academic colleagues shrug their collective shoulders at the gender imbalance; in their opinion, women drop out of science because their hormones make them “different”. As women in science know all too well, similar examples of bias abound in academia. We read with familiar dismay, therefore, the arguments that girls find science “boring,” that attempts to bridge the gender divide “deny human biology and nature,” and that efforts to achieve gender equality in the Science, Technology, Engineering and Mathematics (STEM) fields are doomed. Attributing the gender gap to biology misses the obvious contribution of societal and institutional biases.

The “girls are not interested in STEM” mantra is itself an example. Knowledge of a prejudicial stereotype can lead to enough anxiety that it becomes a self-fulfilling prophecy. Although initially applied to racial bias in IQ tests, ‘stereotype threat’ can be extended to gender as well. Negative stereotypes are transmitted from parents and teachers to girls. Reminding girls that they are girls just before a math test can impede their performance. This effect can be seen in children as young as age five. The key point is that as adults, we are able to view stereotypes as generalisations about a group. Unfortunately, young children are more accepting of stereotypes, and may implicitly believe that girls are indeed poor at STEM subjects. As girls grow up, these stereotypes affect their identities as STEM professionals. So how do these stereotypes take shape?

The Draw a Scientist Test (DAST) shows that science stereotypes are socialised from an early age. The test has its origins in a pilot study from 1957, in which high school students were asked to describe their image of a scientist. Subsequent research from the 1960s onwards has examined a timeline of when this image is cemented. This research finds that children in kindergarten and the first grade are less likely to draw a stereotypical scientist; that is, a White man with facial hair, who wears a lab coat and glasses, and who is surrounded by lab equipment, formulae and books, making a “Eureka!” style exclamation. By the second grade, however, “the stereotype has began to take root,” due to a combination of how science is taught at school as well as through media images and social ideas and expectations that children pick up from parents, teachers and other influences. By the fifth grade, the stereotype is overwhelmingly fixed. A review study of 50 years worth of international research on the DAST demonstrates that, across cultures, “the stereotype of scientists being male has largely endured since 1957.” More specifically, the research shows that in Western cultures, this image is of a White male, even amongst minority students. However, children exposed to female scientists, via a combination of visits by women scientists in the classroom and by talks and readings about women’s contribution to science and their careers, are more likely to draw both women and men as scientists. Studies demonstrate that teachers themselves can contribute to these stereotypes, by giving boys more attention in class, and by rating their abilities higher than girls, even when girls get the same test scores as boys. Conversely, “intervention programs” for teachers, including career information and weekly visits by women researchers to the classroom, as well as short courses with follow-up visits, are subsequently less likely to result in stereotypical DAST results amongst students. This is because the teacher’s bias has been actively addressed, leading to the reinforcement of diversity in their teaching.

Despite the fact that people are socialised into believing that girls can’t do science, popular culture blames the individual; young girls are often chastised Don’t get your dress dirty, or Be careful, why don’t you hand that to your brother, as a recent viral video reminded us. If only girls were more confident. If only girls spoke up and asked more questions in class. If only they actively looked for mentors. Then they could easily overcome this stereotype threat and perform just as well as boys in STEM subjects. Unfortunately this “leaning in” viewpoint is naive because it ignores the institutional disadvantages contributing to the academic exclusion of women and minorities.

Sexual harassment is widespread in academic fieldwork. Women trainees are the primary targets with the perpetrators being predominantly senior professional males. Female undergraduates in male dominated fields report higher levels of sex discrimination, and are more likely to consider changing majors. Another study showed that high-achieving male biologists train fewer women than men in their laboratories, and that these men predominantly fill Assistant Professor slots in academia. In the same study, biomedical science male postdocs are 90% more likely than women to have an adviser who is a Nobel laureate. Not only is there a ‘leaky pipeline’ problem, the plumbing itself is broken.

Not only is there a ‘leaky pipeline’ in STEM, the plumbing itself is broken. Image credit: STEM Women
Not only is there a ‘leaky pipeline’ in STEM, the plumbing itself is broken. Image credit: STEM Women

It is social conditioning, unconscious biases and institutional practices that create an environment where girls feel unwelcome and insecure in STEM fields. UNESCO data show that women are disadvantaged in STEM, with only one in five nations achieving equality. But the cultural variation in itself tells us that it is socialisation and policy intervention, not biology, that matters. Research shows that institutional gender bias develops in several phases. First, children lack female scientist role models from primary school. Second, young undergraduates learn that science privileges a masculine culture, which makes it hard to imagine their career path. Third, diversity barriers are witnessed first-hand by early career researchers. Both male and female faculty are less willing to hire women applicants with the same credentials as men. Given these clear prejudices, we must move away from lazy explanations that attribute women’s under-representation in STEM to their biology. Instead, we must acknowledge that the system actively discourages women in ways both obvious and insidious. We must move away from the individual and address the broader narrative of everyday sexism.

Practical ways to tackle this problem include diversity training for hiring committees and better mentorship programmes for female graduate students and postdocs. Another avenue for change is to address stereotypes and their effects. Research mapping neurophysiology during tests on STEM subjects show that there are no cognitive differences in men and women’s performance in tests until stereotype threat is triggered. Women perform comparably well until they are reminded about their gender, at which point their working memory and performance are negatively impacted. When girls and women are made aware of their minority status, they become hypervigilant about negative feedback, discouraging them despite their success, even if they are high achievers. Professor Chad Forbes is a social neuroscientist from the University of Delaware who studies the impact of negative stereotypes on individuals. One aspect of his research is looking at different ways to combat stereotype threat. The most effective strategy remains acknowledging and understanding the existence of stereotype threat and addressing its consequences, such as through training. Active intervention at the institutional level also leads to positive change. Already, some colleges are reporting huge improvements: at Carnegie Mellon University, 40% of undergraduate incoming class in computer science are women, a welcome contrast to the dismal 18% of graduates in the U.S., and at Harvey Mudd College, more than half of the freshman engineering class this year were women. Their strategies ranged from featuring women on their brochures and as tour guides, to training teachers and hosting camps for high school students.

Why should we care if girls remain underrepresented in STEM? Apart from basic fairness, if we want our best and brightest working on innovative ideas and creative solutions, it makes little sense to potentially abandon half the population. We already face many hurdles; lack of funding, lack of jobs, and pushback from science denialists backed by populist politics. We need all hands on deck to forge ahead.

We must look to nurture, not nature, for change.

Software Engineering Made a Woman Outta Me

By Jennifer Gilbert

This article was originally published on Medium, and is reposted here with permission from the author. 

Jennifer Gilbert
Jennifer Gilbert

When I decided to learn to code, I knew I was entering a male-dominated field. But I considered that challenge far less worrisome than, say, taming the black magic of recursion.

Yes, there would be sexist, disrespectful jerks. Of course there would.

But I’ve dealt with jerks before: I’m no stranger to their stomping grounds, also known as “sidewalks” and “grocery stores” and “schools” and “offices” and “every last form of public transportation.” You can tell that completely avoiding jerks isn’t a big goal for me because I don’t live in a hermit cave that I singlehandedly scraped out of the side of a mountain with a spoon, unwilling to let an amorous construction crew ruin my no-hitter.

Plus, my company, which I am sure you could identify without much trouble and whom I certainly do not seek to represent here in any official capacity, is a pretty great place for women to work: an internal organization dedicated to the career development of women, generous maternity leave, flexible scheduling, and waaay fewer leering creeps than your average train car. Train cars are like Jerk Church, aren’t they.

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