These readings are recommended, but optional. Assigned readings are found in the schedule.

Week 1:

• Consider the Boolean by Jacob Harris (2015)
• Critical Questions for Big Data by danah boyd, Kate Crawford (2012)
• Data Humanism, The Revolution will be Visualized by Giorgia Lupi (2017)
• Introduction, "Raw Data" is an Oxymoron by Lisa Gitelman (2013)
• Breaking The Black Box, 4 videos with text, ProPublica (2016)
• Humanities Approaches to Graphical Display by Johanna Drucker (2011)
• Why 1.2 billion people share the same 100 surnames in China by Jessie Yeung, CNN (2021)

Week 3:

• Machine Learning and Human Bias, Video by Google (2017)
• How I'm fighting bias in algorithms, Ted Talk by Joy Buolamwini (2017)
• Invisible Images Of Surveillance, Trevor Paglen (2018)

Introduction, Automating Inequality, Virginia Eubanks (2018)

Machine Learning and Human Bias, Video by Google (2017)

How I'm fighting bias in algorithms, Ted Talk by Joy Buolamwini (2017)Invisible Images Of Surveillance, Trevor Paglen (2018)