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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Four-year-old broke, fixed my math clock

I’ve been gifted a steady stream of math clocks over the years, including a really transcendental one that has been in my dining room for quite a while. I didn’t realize how often I used it to check the time until my four-year-old broke the hands off one recent day. (“I wanted to see what happens when you bend them back and forth,” he explained, but I digress.)

The purpose of this blog is to document the *fix* for this failure that we developed together:
clock
“What time is it?”, I inattentively asked myself as a kid came down the stairs this morning. Perfect answer!

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New book on Probabilistic Programming

This crossed my inbox recently:

The e-book is available now from https://www.manning.com/books/practical-probabilistic-programming. The print version will be available on Friday.

>From the cover:

Practical Probabilistic Programming introduces the working programmer to probabilistic programming. In it, you’ll learn how to use the PP paradigm to model application domains and then express those probabilistic models in code. Although PP can seem abstract, in this book you’ll immediately work on practical examples, like using the Figaro language to build a spam filter and applying Bayesian and Markov networks, to diagnose computer system data problems and recover digital images.

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