Culture, Computation, and Society
What is the Culture, Computation, and Society Reading Group?
Computers are impacting all of our lives - let’s talk about it
The culture, computation, and society reading group was a student-led seminar that I co-organized and co-led with Adriana Knight from 2019-2021 at Swarthmore College. Composed of students, staff, and faculty from across the sciences, social sciences, and humanities, we felt very strongly that the reading group should actively seek out and include individuals who aren’t the stereotypical STEM major. To quote one of our publicity emails: “This seminar is open to EVERYONE. Not just CS majors, not just CS students, but anyone who uses a computer (that’s you!).”
During our scheduled meetings, we mainly discussed readings in line with the group’s founding vision:
We pursue intersections between culture and computation, the qualitative and the quantitative, the humanistic and the digital through reading, talking, and coding
In addition to discussions, we occasionally had a sprinkling of interactive workshops, tutorials, and guest lecturers.
An Abridged Reading List
Race and Technology
- Abolish the #TechToPrisonPipeline, by the Coalition for Critical Technology
- Black Software, by Charlton D. McIlwain (subtitle: The Internet & Racial Justice, from the AfroNet to Black Lives Matter)
- Big Data’s Disparate Impact, by Baracos and Selbst
- Making Skin Visible through Liberatory Design, by Lorna Roth in Captivating Technology (Race, Carceral Technoscience, and Liberatory Imagination in Everyday Life)
- Critical Race Theory for HCI, by Ogbonnaya-Ogburu et al
- Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence, by Mohamed et al
- Design Justice, by Sasha Costanza-Chock (subtitle: Community-Led Practices to Build the Worlds We Need)
- Intersectionality: Race, Surveillance, and Tech and Its History with Cory Doctorow, Malkia Devich-Cyril (Media Justice) and Meredith Whittaker (AI Now)
- Machine Bias, by ProPublica
- The Misgendering Machines: Trans/HCI Implications of Automatic Gender Recognition, by Os Keyes
- Race After Technology, by Ruha Benjamin
- Bonus: Ruha Benjamin’s talk in the Conversations for Change hosted by the National Center for Women in Information Technology
- Watching the Black Body, by Malkia Cyrill
- This was originally published in McSweeney’s “The End of Trust” edition, produced in collaboration with the EFF
- The Whiteness of AI, by Cave and Dihal
Digital Rights
Big Data and AI
- Algorithms of Oppression, by Safiya Umoja Noble (subtitle: how search engines reinforce racism)
- Automating Inequality, by Virginia Eubanks (subtitle: How High-Tech Tools Profile, Police, and Punish the Poor)
- A critique of pure learning and what artificial neural networks can learn from animal brains, by Anthony Zador
- Energy and Policy Considerations for Deep Learning in NLP, by Strubell et al
- How Robust Are Probabilistic Models of Higher-Level Cognition?, by Gary F. Marcus and Ernest Davis
- Litigating Algorithms 2019 US Report, by Richardson et al. AI Now Institute
- The Short Anthropological Guide to the Study of Ethical AI, by Alexandrine Royer
- To predict and serve?, by Lum and Issac
- Weapons of Math Destruction, by Cathy O’Neil (subtitle: how big data increases inequality and threatens democracy)
- Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data, by Emily M. Bender and Alexander Koller
AI & AI Ethics
NLP
Tech Addiction
Tracking and Technology
Online Advertising
Data Science (Not discussed but good reading material!)
- Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results, by Silberzahn et al.
- “On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints” In Data Feminism , by Catherine D’Ignazio and Lauren Klein
- Science Isn’t Broken, by Christie Aschwanden. FiveThirtyEight
- The Good, the Bad, and the Biased: Five Ways Visualizations Can Mislead (and How to Fix Them), by Danielle Szafir
Miscellaneous
- A Civic Technologist’s Practice Guide, by Cyd Harrell
- A student guide for navigating ethical issues in the tech industry, by The Mozilla Foundation
- Ethics of Invention, by Sheila Jasanoff (subtitle: Technology and the Human Future)
- Data Voids, by Golbiewski and Boyd. The Data and Society Institute (subtitle: Where Missing Data Can Easily Be Exploited)
- Do Artifacts Have Politics?, by Langdon Winner
- Friend and Foe: The Platform Press at the Heart of Journalism, by Rashidian et al. Columbia Journalism Review
- Machinelearners, by Adrian Mackenzie
- (Mis)gendering, by Os Keyes
- Obfuscation: A User’s Guide, by Finn Brunton and Helen Nussbaum
- Plain Text, by Dennis Tenen (subtitle: The Poetics of Computation)
- Twitter and Tear Gas, by Zeynep Tufekci (subtitle: The Power and Fragility of Networked Protest)
- Your Computer Isn’t Yours by Jeffrey Paul
Bonus
This reading group has been over for a while now, but every now and again I see something that would have made the reading list if the group was still active. This section contains those pieces.
Lib/Lab Summer Edition
Since 2015 the Swarthmore College Libraries annually run a digital scholarship program entitled the “Lib/Lab Fellows.” Slightly adapted from their website, the Lib/Lab Fellows:
[Work on] collaborative projects that span disciplinary boundaries, that bring networked technologies to bear on conventional scholarship, [and] that demand a critical consideration of just what we mean by “the digital”?
Throughout the semester the Fellows are exposed to:
- Web development and design, plus digital media, text analysis, and/or data visualization depending on time/interests
- Current conversations around digital environments from a variety of perspectives
- Experience with project management, design thinking and tools for collaboration
- Self-directed research culminating in a digital project
As I finished up the spring of my penultimate year at Swarthmore, I came to the realization that – like every other year – I wouldn’t have the time needed in my schedule to participate in the Lib/Lab Fellowship. This was a crushing realization because I was very keen on the projects and discussions that happen during a Lib/Lab Fellowship and, unlike previous years, I couldn’t promise myself that next year would be the year I finally make time in my overstuffed schedule to become a Lib/Lab Fellow.
I reached out to Roberto Vargas and Nabil Kashyap – the wonderful Librarians who run the program – who graciously provided me with all the relevant reading materials and agreed to let me run my own version of the program over the summer. (I mean, what else are you going to do during a global pandemic?) Consequentially, I gathered some interested people from the community and created the 2020 Lib/Lab Summer Edition!
If you’d like to see what sorts of texts we discussed, the syllabus can be found below. It can also double as a reading list.
Syllabus
Note: The syllabus listed below is built on the 2019 Lib/Lab Fellows Syllabus created by Nabil Kashyap and Roberto Vargas. Feel free to check out their syllabus.
Week 1: Back to basics
Week 2: Power, race, and technology
Week 3: “It’s not a big truck. It’s a series of tubes.” - Sen. Stevens
Week 4: Does data dream of visualizations?
- Daniels, Matt. “The Language of Hip Hop.” The Pudding (2017).
- D’Ignazio, Catherine and Klein, Lauren. “On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints.” (chapter draft) In Data Feminism (MIT, 2020).
- Drucker, Johanna. “Graphical Approaches to the Digital Humanities.” A New Companion to Digital Humanities, edited by Susan Schreibman et al. (2015): 238–50.
- Osman, Jenna. from Motion Studies. PEN Poetry Series.
- Seeing Data: Taking Time With Visualisations
- Szafir, Danielle. “The Good, the Bad, and the Biased: Five Ways Visualizations Can Mislead (and How to Fix Them).” Interactions 25, no. 4 (June 27, 2018): 26–33.
Week 5: Hey, Hey, Listen! (The Attention Economy)
Week 6: Is the cloud someone else’s computer?
- Abendroth, Emily. Exclosures 1-8. Albion Books 4.3. From Eclipse Archive.
- Davis, Jenny. “Identity Theory in a Digital Age.” In New Directions in Identity Theory and Research (Oxford University Press, 2016).
- D’Ignazio, Catherine and Klein, Lauren. “What Gets Counted.” (chapter draft) In Data Feminism (MIT, 2020).
- databasic.io
- Explore this page thinking about who is responsible, who is it for, and how it compares to other related interfaces keeping in mind the reading for this week
- Haraway, Donna. “Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective.” Feminist Studies 14, no. 3 (1988): 575.
Week 8: Privacy and Surveillance