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Is your data collection replicating bias? It's fixable.

 

Who is the head of your household? It probably depends on who you ask. In my household, you will either find out that I am the head of the household, my husband is the head of the household, or that my bulldog is the head of my household. It depends on how you measure. Is it who makes most of the decisions? Is it who makes the most money? Is it who spends most of the money? Is it who the waiter brings the bill to?

 

This is an important question that is a standard indicator used all over the world in data collection, especially by projects in developing countries. Whether or not I qualify for various programs, whether or not you think your project is working, and many more answers to research questions are entirely depending on who is the head of the household and how it is defined.

 

And yet we almost never know. Take a look at some examples.

EquiTea in Minneapolis
Let's have tea and talk equity!

We're super excited about all the interest around getting together in Minneapolis this November. We've found a nice space close to the Hilton and the Convention Center and we'll be providing afternoon snacks and beverages as well as some conversation starters (and maybe a game?!?) to get us connecting around of hopes, experiences, and questions on equity in data.

The event will be Friday, November 15th at 4:30 pm. No cost and anyone can join in. However, for planning, we need you to RSVP to Heather at her We All Count email, thanks. 
Best Thing This Week
One of the best things I've seen this week is a new tool called Genderendr. Often an organization has a list of people's names but not their genders. There are several popular computer programs that will take that list of names and assign them male or female genders based on the probability of whether that name is likely to belong to a man or woman.

This week a new version of such a computer program was released for the statistical programming language R. Lots of people didn't actually read the documentation for the new program and were very critical online about it. However, actually reading the documentation for the new tool changes things a lot. We've included a screenshot of the intro below.
Want to hang out IRL?

The We All Count team will be on the road this fall.
You can find us onstage at:

 
Keough School of Global Development, Oct 7-31
The Social Finance Conference in Toronto, November 6-8
The AEA Conference in Minneapolis, November 11-15
Tableau Conference in Las Vegas, November 12-13
Ontario Nonprofit Network, November 26
Communication Connections, Toronto, November 29
Canadian Evaluation Society, BC Conference, January 27-28
Consortium on Data and Ethics, Miami, Feb 13
Conference on Statistical Practice in, Sacramento Feb 20-22

If you're in the area and would like to host a workshop, a lunch and learn, or a tea party let us know. We'd love to meet you and your team.

 

We're looking for equity problems and successes.

If you have a story or idea you want to share, send me a note by replying to this email.

Project for Equity in Data Science
Copyright © 2019 Datassist, All rights reserved.


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