This wasn't the video I wanted to shoot. I had planned to talk about workflow and writing, but instead I spent the day saddened and outraged by what happened to a colleague...
What follows are some thoughts for them, and about systemic problems of racism and equity in academia we must address. Further, as a person who has been privileged, fortunate, and blessed beyond anything that is reasonable in this life, I have a moral duty to be an agent of this change.
Showing posts with label race. Show all posts
Showing posts with label race. Show all posts
How we Perceive Racial Demographics
No comments:
Topics:
demographics,
maps,
race
Last year I conducted a short online survey to (attempt to) answer a simple question:
How accurately do people know the racial demographics of their neighborhood?
This was prompted by overhearing a great many generalizations about the racial composition of Seattle, and the UW in particular. The survey was straight forward: simply provide your guesses for the % of each race in your neighborhood, as well as a few details about yourself (age, gender, race, and most importantly ZIP code in the USA). The ZIP code was used to compare the user-estimated %'s to data from the US 2010 census.
I'd like to share a bit of what I learned...
How accurately do people know the racial demographics of their neighborhood?
This was prompted by overhearing a great many generalizations about the racial composition of Seattle, and the UW in particular. The survey was straight forward: simply provide your guesses for the % of each race in your neighborhood, as well as a few details about yourself (age, gender, race, and most importantly ZIP code in the USA). The ZIP code was used to compare the user-estimated %'s to data from the US 2010 census.
I'd like to share a bit of what I learned...
1. Respondents, or, The Kindness of Strangers
Happy MLK Day
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Topics:
academia,
maps,
race
Today is notable for (at least) two reasons:
1) it marks the public Inauguration of President Obama's 2nd term
2) it is Martin Luther King day for America
As someone employed in higher education, and a strong believer in education as the best remedy for our society, I have high hopes that the next four years will see increased attention and passion for education equality.
In that spirit, here's a map derived from a previous article I wrote:
Food for thought: Why are rural colleges/universities more likely to have fewer black students per capita than their state as compared to urban schools?
Good luck, Mr President. I don't envy your job.
1) it marks the public Inauguration of President Obama's 2nd term
2) it is Martin Luther King day for America
As someone employed in higher education, and a strong believer in education as the best remedy for our society, I have high hopes that the next four years will see increased attention and passion for education equality.
In that spirit, here's a map derived from a previous article I wrote:
Food for thought: Why are rural colleges/universities more likely to have fewer black students per capita than their state as compared to urban schools?
Good luck, Mr President. I don't envy your job.
Race in US Colleges
2 comments:
Topics:
academia,
demographics,
maps,
race,
statistics
Be sure to subscribe for updates on this and all my other data analysis projects!
The Chronicle posted a nice spreadsheet containing race, ethnicity, and gender data from ~4300 institutions of higher education across America. (Note: the article and data file are now behind a paywall, which was not in effect when I downloaded the data set)
It's a really intriguing data set, and I thought it was worth a few minutes of my time to play with it. My results are amusing, but I don't think I've fully captured the rich potential this data has to offer serious researchers.
My first question was simple: what does the most basic racial composition of US Colleges look like?
Racial Perceptions - A First Glance
4 comments:
Topics:
demographics,
maps,
race,
statistics,
visualization
Be sure to subscribe for updates on this and all my other data analysis projects!
Last night I had a few hours to kill at a cafe. The cafe had decent coffee, and slow wifi, so I thought it would be a good chance to mess around with the preliminary results from my race perceptions survey! I am intending to dress this up quite a bit when I get more respondents (the survey will remain open for now).
For now, here is a first "quick and dirty" look at how our perceptions of racial composition track with reality.
Last night I had a few hours to kill at a cafe. The cafe had decent coffee, and slow wifi, so I thought it would be a good chance to mess around with the preliminary results from my race perceptions survey! I am intending to dress this up quite a bit when I get more respondents (the survey will remain open for now).
For now, here is a first "quick and dirty" look at how our perceptions of racial composition track with reality.
Map of Respondents
Here is the updated map, with ~380 people responding across the country. There is major clustering around certain major cities, owing to my sending the survey to my Facebook friends (largely in WA), and two region-specific subreddits (r/seattle and r/sanfrancisco). The sample of respondents is ~80% white, 55% male, and 90% are within the 18-25 or 25-35 age groups.
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In red: density of zip codes across the US. Survey respondents are marked in blue. |
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