Diversity Club: Medical Education and the Minority Tax

Last week the IHME diversity club discussed a recent JAMA viewpoint on “Medical Education and the Minority Tax”. I think this is a good way to frame an important issue:

http://jamanetwork.com/journals/jama/fullarticle/2625322

A Piece of My Mind

May 9, 2017

Medical Education and the Minority Tax

Kali D. Cyrus, MD, MPH1

Author Affiliations Article Information

JAMA. 2017;317(18):1833-1834. doi:10.1001/jama.2017.0196

I sat down at the large conference room table surrounded by the other medical students, some of whom I recognized from earlier stops on the residency interview trail. As they continued their conversations, I looked around, realizing I was once again the only interviewee who is black. I kept gazing around the room, only to find more faces staring back that did not look like me. Hanging grandly from the walls were faces, painted in watercolor, framed in bronze, and undoubtedly of really important men … really important white men.

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Diversity Club: Transgender Population Size in the United States: a Meta-Regression of Population-Based Probability Samples

Early this month, the IHME Diversity Club discussed the recent paper, Transgender Population Size in the United States: a Meta-Regression of Population-Based Probability Samples, by Meerwijk and Sevelius from AJPH: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5227946/

This helped us dig into trans and non-binary gender and how it relates to our work in health metrics.

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Diversity Club: the Invisible Knapsack

This last diversity club we discussed power and privilege, and we used White Privilege: Unpacking the Invisible Knapsack by Peggy McIntosh as the reading. https://nationalseedproject.org/images/documents/Knapsack_plus_Notes-Peggy_McIntosh.pdf

After discussing enough to get people who didn’t have time to read thinking about things, we broke out in groups of 3 or 4 do have smaller discussion with these three prompts:

Round one: What are one or more ways in which you’ve had unearned disadvantage in your life?

Round two: What are one or more ways in which you’ve had unearned advantage in your life?

Round three: What is it like for you to sit here and talk about and hear about these experiences of unearned advantage and disadvantage?

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Diversity Club: What is a stereotype and why do we have them?

For Diversity Club this week we are going to discuss stereotypes. What are stereotypes, and why do they exist? We have selected a technical paper of modest length to be the focus of this discussion: Susan T. Fiske. Warmth and Competence: Stereotype Content Issues for Clinicians and Researchers. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3801417/

(Since this is running from 12:30 to 1:30, it seems worthwhile to remind you that you can bring your own lunch if you would like to eat while we meet.)

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Diversity Club: How to interrupt bias

Hi Again All,

This week we are going to discuss bias against women in the workplace. Here is a short reading from the American Bar Association:
http://www.abajournal.com/news/article/how_to_interrupt_bias_in_the_workplace

I hope to see you there!
–Abie

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Property Based Testing in Python

Ooh, that looks cool. You could possibly use composite strategies https://hypothesis.readthedocs.org/en/master/data.html#composite-strategies for testing dataframes.

–Abie

From: Joe A. Wagner
Sent: Thursday, February 25, 2016 11:03 AM
To: Abraham D. Flaxman
Subject: property based testing

Hi Abie,

Have you seen hypothesis? It looks really useful. I’ve been meaning to incorporate it into my code, but I’m having a hard time defining properties of data frames (which is usually the input of most of my functions).

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Journal Club: Counter-measures for Implicit Bias

This long-read from vox.com would be 13 pages if I printed it, but it is for a general audience, so it’s not like a 13 page research paper.
http://www.vox.com/identities/2016/11/15/13595508/racism-trump-research-study

Linked from the link is this amazing video:

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