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Gender And The Harvard Math Department
This is a guest post by Meena Boppana, a junior at Harvard and former president of the Harvard Undergraduate Math Association (HUMA). Meena is passionate about addressing the gender gap in math and has co-lead initiatives including the Harvard math survey and the founding of the Harvard student group Gender Inclusivity in Math (GIIM).
I arrived at Harvard in 2012 head-over-heels in love with math. Encouraged to think mathematically since I was four years old by my feminist mathematician dad, I had even given a TEDx talk in high school declaring my love for the subject. I was certainly qualified and excited enough to be a math major.
Which is why, three years later, I think about how it is that virtually all my female friends with insanely strong math backgrounds (e.g. math competition stars) decided not to major in math (I chose computer science). This year, there were no female students in Math 55a, the most intense freshman math class, and only two female students graduating with a primary concentration in math. There are also a total of zero tenured women faculty in Harvard math.
So, I decided to do some statistical sleuthing and co-directed a survey of Harvard undergraduates in math. I was inspired by the work of Nancy Hopkins and other pioneering female scientists at MIT, who quantified gender inequities at the Institute – even measuring the square footage of their offices – and sparked real change. We got a 1/3 response rate among all math concentrators at Harvard, with 150 people in total (including related STEM concentrations) filling it out.
The main finding of our survey analysis is that the dearth of women in Harvard math is far more than a “pipeline issue” stemming from high school. So, the tale that women are coming in to Harvard knowing less math and consequently not majoring in math is missing much of the picture. Women are dropping out of math during their years at Harvard, with female math majors writing theses and continuing on to graduate school at far lower rates than their male math major counterparts.
And it’s a cultural issue. Our survey indicated that many women would like to be involved in the math department and aren’t, most women feel uncomfortable as a result of the gender gap, and women feel uncomfortable in math department common spaces.
Source: Harvard Math Survey
The simple act of talking about the gender gap has opened the floodgates to great conversations. I had always assumed that because no one was talking about the gender gap, no one cared. But after organizing a panel on gender in the math department which drew 150 people with a roughly equal gender split and students and faculty alike, I realized that my classmates of all genders feel more disempowered than apathetic.
The situation is bad, but certainly not hopeless. Together with a male freshman math major, I am founding a Harvard student group called Gender Inclusivity in Math (GIIM). The club has the two-fold goal of increasing community among women in math, including dinners, retreats, and a women speaker series, and also addressing the gender gap in the math department, continuing the trend of surveys and gender in math discussions. The inclusion of male allies is central to our club mission, and the support from male allies at the student and faculty level that we have received makes me optimistic about the will for change.
Ultimately, it is my continued love for math which has driven me to take action. Mathematics is too beautiful and important to lose 50 percent (or much more when considering racial and class-based inequities) of the potential population of math lovers.
The Police State is already here.
The thing that people like Snowden are worried about with respect to mass surveillance has already happened. It’s being carried out by police departments, though, not the NSA, and its targets are black men, not the general population.
Take a look at this incredible Guardian article written by Rose Hackman. Her title is, Is the online surveillance of black teenagers the new stop-and-frisk? but honestly that’s a pretty tame comparison if you think about the kinds of permanent electronic information that the police are collecting about black boys in Harlem as young as 10 years old.
Some facts about the program:
- 28,000 residents are being surveilled
- 300 “crews,” a designation that rises to “gangs” when there are arrests,
- Officers trawl Facebook, Instagram, Twitter, YouTube, and other social media for incriminating posts
- They pose as young women to gain access to “private” accounts
- Parents are not notified
- People never get off these surveillance lists
- In practice, half of court cases actually use social media data to put people away
- NYPD cameras are located all over Harlem as well
We need to limit the kind of information police can collect, and put limits on how discriminatory their collection practices are. As the article points out, white fraternity brothers two blocks away at Columbia University are not on the lists, even though there was a big drug bust in 2010.
For anyone who wonders what a truly scary police surveillance state looks like, they need look no further than what’s already happening for certain Harlem residents.
Driving While Black in the Bronx
This is the story of Q, a black man living in the Bronx, who kindly allowed me to interview him about his recent experience. The audio recording of my interview with him is available below as well.
Q was stopped in the Bronx driving a new car, the fourth time that week, by two rookie officers on foot. The officers told Q to “give me your fucking license,” and Q refused to produce his license, objecting to the tone of the officer’s request. When Q asked him why he was stopped, the officer told him that it was because of his tinted back windows, in spite of there being many other cars on the same block, and even next to him, with similarly tinted windows. Q decided to start recording the interaction on his phone after one of the cops used the n-word.
After a while seven cop cars came to the scene, and eventually a more polite policeman asked Q to produce his license, which he did. They brought him in, claiming they had a warrant for him. Q knew he didn’t actually have a warrant, but when he asked, they said it was a warrant for littering. It sounded like an excuse to arrest him because Q was arguing. He recorded them saying, “We should just lock this black guy up.”
They brought him to the precinct and Q asked him for a phone call. He needed to unlock his phone to get the phone number, and when he did, the policeman took his phone and ran out of the room. Q later found out his recordings had been deleted.
After a while he was assigned a legal aid lawyer, to go before a judge. Q asked the legal aid why he was locked up. She said there was no warrant on his record and that he’d been locked up for disorderly conduct. This was the third charge he’d heard about.
He had given up his car keys, his cell phone, his money, his watch and his house keys, all in different packages. When he went back to pick up his property while his white friend waited in the car, the people inside the office claimed they couldn’t find anything except his cell phone. They told him to come back at 9pm when the arresting officer would come in. Then Q’s white friend came in, and after Q explained the situation to him in front of the people working there, they suddenly found all of his possessions. Q thinks they assumed his friend was a lawyer because he was white and well dressed.
They took the starter plug out of his car as well, and he got his cell phone back with no videos. The ordeal lasted 12 hours altogether.
“The sad thing about it,” Q said, “is that it happens every single day. If you’re wearing a suit and tie it’s different, but when you’re wearing something fitted and some jeans, you’re treated as a criminal. It’s sad that people have to go through this on a daily basis, for what?”
Here’s the raw audio file of my interview with Q:
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Putting the dick pic on the Snowden story
I’m on record complaining about how journalists dumb down stories in blind pursuit of “naming the victim” or otherwise putting a picture on the story.
But then again, sometimes that’s exactly what you need to do, especially when the story is super complicated. Case in point: the Snowden revelations story.
In the past 2 weeks I’ve seen the Academy Award winning feature length film CitizenFour, I’ve read Bruce Schneier’s recent book, Data and Goliath: The Hidden Battles To Collect Your Data And Control Your World, and finally I watched John Oliver’s recent Snowden episode.
They were all great in their own way. I liked Schneier’s book, it was a quick read, and I’d recommend it to people who want to know more than Oliver’s interview shows us. He’s very very smart, incredibly well informed, and almost completely reasonable (unlike this review).
To be honest, though, when I recommend something to other people, I pick John Oliver’s approach; he cleverly puts the dick pic on the story (you have to reset it to the beginning):
Here’s the thing that I absolutely love about Oliver’s interview. He’s not absolutely smitten by Snowden, but he recognizes Snowden’s goal, and makes it absolutely clear what it means to people using the handy use case of how nude pictures get captured in the NSA dragnets. It is really brilliant.
Compared to Schneier’s book, Oliver is obviously not as informational. Schneier is a world-wide expert on security, and gives us real details on which governmental programs know what and how. But honestly, unless you’re interested in becoming a security expert, that isn’t so important. I’m a tech nerd and even for me the details were sometimes overwhelming.
Here’s what I want to concentrate on. In the last part of the book, Schneier suggests all sorts of ways that people can protect their own privacy, using all sorts of encryption tools and so on. He frames it as a form of protest, but it seems like a LOT of work to me.
Compare that to my favorite part of the Oliver interview, when Oliver asks Snowden (starting at minute 30:28 in the above interview) if we should “just stop taking dick pics.” Snowden’s answer is no: changing what we normally do because of surveillance is a loss of liberty, even if it’s dumb.
I agree, which is why I’m not going to stop blabbing my mouth off everywhere (I don’t actually send naked pictures of myself to people, I think that’s a generational thing).
One last thing I can’t resist saying, and which Schneier discusses at length: almost every piece of data collected about us by our government is more or less for sale anyway. Just think about that. It is more meaningful for people worried about large scale discrimination, like me, than it is for people worried about case-by-case pinpointed governmental acts of power and suppression.
Or, put it this way: when we are up in arms about the government having our dick pics, we forget that so do our phones, and so does Facebook, or Snapchat, not to mention all the backups on the cloud somewhere.
Fingers crossed – book coming out next May
As it turns out, it takes a while to write a book, and then another few months to publish it.
I’m very excited today to tentatively announce that my book, which is tentatively entitled Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, will be published in May 2016, in time to appear on summer reading lists and well before the election.
Fuck yeah! I’m so excited.
p.s. Fight for 15 is happening now.
Predatory credit score-based insurance fees
I’ve been looking into who uses credit scores – FICO scores or other alternative scores – and I’ve found that the insurance industry is a major user.
Homeowners insurance rates, for example, varies wildly by state depending on what kind of credit score you have, often more than doubling for people with poor credit versus people with excellent credit. This is in spite of the fact that homeowners insurance applies not to the payments of mortgages but rather to the contents of an apartment or home.
Similarly, auto insurance rates vary by credit score, even though someone with a poor credit score isn’t obviously a bad driver. For example, in Maryland, people with bad credit scores can be charged 40% more just for having bad credit scores.
Statistics like this make me wonder, how much of this price discrimination comes from the insurance companies trying to understand and account for actual risk, and how much comes from their understanding that poorer people have fewer options and will simply pay predatory rates?
And just in case you’re a believer in free markets and fair competition, and think such predatory behavior would be whisked away in a competitive market, insurance companies actually target people who don’t shop around and charge them more. In other words, it’s not a free market if not everyone actually has good information.
Tell me if you have more examples like this, I’m a collector!
mathbabe 