CSG-Ed Resources for Further Reflection on Diversity and its Role in Computing
On May 25, 2020, George Floyd (a 46 year old black man) died while handcuffed and pinned to the ground by a white police officer, Derek Chauvin. The incident was recorded by a bystander and the video footage went viral. In the days following Floyd’s death protests erupted around the country and the world. Many protests have turned violent and the National guard have been called out in 21 states 1.
With such protests, which continue daily through the time of this posting, in the background, many have taken this time to reflect upon the past injustices, the current realities and whether, to what extent and in what ways such injustices remain systemic in all facets of our lives.
As computing organizations and institutions throughout the country grapple with the issues brought to a head by the recent protests, CSG-ED wanted to support such reflections and conversations by providing some resources to its practitioners and members.
The following is a list of links to publicly available resources. This list was compiled by some of our CSG-Ed members. The list is grouped by resource type. The list is not exhaustive and does not include every perspective or approach to said topics. We encourage you to use this list as you see fit. If there are additional resources that you feel would be beneficial to share with CSG-Ed, we’d love to hear about them. Please email our webmaster at firstname.lastname@example.org . Include CSG-ED Resources in your subject-line.
Race After Technology – R. Benjamin (2019)
Algorithms of Oppression – S. Noble (2018)
Black Software – C. McIlwain (2019)
Grading for Equity – J. Feldman (2019)
White Fragility Why It’s So Hard for White People to Talk About Racism, – R. DiAnjelo (2018)
Race on the Brain: What Implicit Bias Gets Wrong About the Struggle for Racial Justice – Jonathan Kahn (2017)
Implicit Bias in Schools – Gina Laura Gullo,, Kelly Capatosto,, Cheryl Staats (2019)
Biased: Uncovering the Hidden Prejudice That Shapes What We See, Think, and Do -Jennifer L Eberhardt (2020)
Non-Violent Communication – Rosenberg (2015)
Dignity – Diane Hicks (2013)
Culturally Responsive Teaching and the Brain – Zaretta Hammond (2015)
HOW WE NEED TO CHANGE FOR MORE INCLUSIVE AND OPEN PUBLICATION PRACTICES – Julie Williamson (2020)
A Letter to my White Male Friends of a Certain Age – Dax-Devlon Ross (2020)
CS Teachers its (Past) Time to Learn about Race – Mark Guz Dial (2020)
How to make a racist AI without really trying – Robyn Speer (2017)
Data science, ethics, and the ‘massive scumbags’ problem – Stilgherrian (2019)
5 Steps to take as an Anti-Racist Data Scientist – Emily Hadley (2020)
How to Be an Anti-Racist – Ibram Kendi’s (2019)
95 things that White people can do for racial justice – Corinne Shutack’s (initially posted 2017, updated regularly)
Websites with Resources, Action Steps and Support to discuss difficult topics
https://implicit.harvard.edu/ has tests that you can take (kind of fun and game like) that help to reveal implicit bias in various categories.
center for nonviolent communication. These folks have written numerous books and articles on conflict resolution, how to have difficult conversations that are productive and how to speak to one another without violence.
Just Peace on how to build a container for conversation.
CrisisGuidelines – Juan E. Gilbert
National Conflict Resolution Center
CMD-IT supports the Call to Action to the Computing Community from Black in Computing and Allies The open letter provides an excellent list of actionable items for individuals, organizations, and communities.
Share your story, written or video. We welcome anonymous sharing. Our goal is to share our stories on the CMD-IT website to raise our voices about racial injustices experienced by many in the Black community. It is also a teachable moment and provides education to those that want to understand the detriment of racism in society.
Ted Talks on Diversity Issues
Amal Awad: Moving beyond the token minority | TED Talk
The untapped genius that could change science for the better
Rocío Lorenzo: How diversity makes teams more innovative | TED Talk
Joy Buolamwini: How I’m fighting bias in algorithms | TED Talk
What baby boomers can learn from millennials at work — and vice versa
There are numerous computing societies and professional groups geared towards a variety of interests and audiences. Such groups may have their own resources and support. There is likely a local group in your area. If you need help or want recommendations contact email@example.com
Spark a Discussion
Reading current events or other fact-based resources with others can spark a discussion about these issues. Two examples of such sources are below:
The Computer Got It Wrong’: How Facial Recognition Led To False Arrest Of Black Man
Bureau of Labor and Statistics Demographics in Computing
Bureau of Labor and Statistics on Computing Profession (tables below taken from the Bureau of Labor and Statistics, but cut to show relevant pieces).
11. Employed persons by detailed occupation, sex, race, and Hispanic or Latino ethnicity
|[Numbers in thousands]|
|Percent of total employed|
|Computer and mathematical occupations||5,352||25.8||65.7||8.7||23.1||7.8|
|Computer and information research scientists||24||–||–||–||–||–|
|Computer systems analysts||663||40.1||67.8||9.7||20.3||8.3|
|Information security analysts||125||17.1||74.6||16.6||7.6||12.9|
|Software developers, applications and systems software||1,815||18.7||54.0||5.8||37.7||5.1|
|Computer support specialists||547||26.4||74.2||10.5||12.7||11.3|
|Network and computer systems administrators||199||26.1||77.2||9.7||11.7||8.5|
|Computer network architects||106||9.2||76.1||13.1||10.3||14.1|
|Computer occupations, all other||808||23.6||70.5||12.7||14.1||9.7|
|Operations research analysts||152||42.7||80.5||6.8||8.3||9.7|
|Miscellaneous mathematical science occupations||22||–||–||–||–||–|
|NOTE: Estimates for the above race groups (White, Black or African American, and Asian) do not sum to totals because data are not presented for all races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race. Updated population controls are introduced annually with the release of
January data. Dash indicates no data or data that do not meet publication criteria (values not shown where base is less than 50,000).9