What I Read this Week (WIRTW): Cyberpunk + Data Science Bias

* A E S T H E T I C * V I B E S *

* A E S T H E T I C * V I B E S *

I am a 90s kid, and as such, I grew up during a period of time when the internet was still full of potential. I’m amazed to see the rise of 90s fashion, music and other artistic aesthetics making a comeback (and I can’t help but feel a little proud to have seen it the first time around).

The blend of pastels, clash of graphics and sythpop fuels my recent musical interests and is slowly making its way into the color palettes for my current web projects and digital art.

I was reminded of one of my favorite lesson plans from my Popular Genres course while catching up on my reading this week. In that course, I created a unit- discussion around the types of “punk” to emerge from the 70s and the different philosophical and socio-cultural outlooks held by each wave. My learners then explored these concepts through fun follow-up activities such as making their own online quizzes, social media profiles for historical figures, or even created interactive Twine stories to capture the spirit of their favorite genre of punk. In addition, they also spent time envisioning what the next wave of punk would look like. I really enjoyed the unit and my learners expressed interest in understanding the impact that punk made on their own popular culture conception.

Here is what I read this week:

Fiction and Graphic Novels:

  • Cryptonomicon by Neal Stephenson

  • Ghost in the Shell by Mamoru Oshii

  • Snowpiercer: The Escape and Snowpiercer: The Explorers by Jacques Lob and Jean-Marc Rochette (translated)

Design Thinking and Data Science:

  • Don’t Make Me Think (Revisited) by Steve Krug

  • Invisible Women: Data Bias in a World Designed for Men by Caroline Criado Perez