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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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Websearch for Text Clustering

Here are some interesting results:

http://datascience.stackexchange.com/questions/979/algorithms-for-text-clustering

http://www.charuaggarwal.net/text-cluster.pdf

Anything I should add to my reading list?

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New VA paper from some colleagues

“Whenever they cry, I cry with them”: Reciprocal relationships and the role of ethics in a verbal autopsy study in Papua New Guinea
HN Gouda, A Kelly-Hanku, L Wilson, S Maraga… – Social Science & …, 2016 – Elsevier

http://www.sciencedirect.com/science/article/pii/S0277953616303318

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To read

Workplace Violence in Health Care: A Critical Issue With a Promising Solution
Ron Wyatt, MD, MHA, DMS (HON); Kim Anderson-Drevs, PhD, RN; Lynn M. Van Male, PhD
JAMA. 2016;316(10):1037 doi:10.1001/jama.2016.10384
http://jama.jamanetwork.com/article.aspx?articleid=2536076

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