Chapter 5 Readings & Resources

This page is a collection of books, papers, presentations, podcasts, and links to other resources that trainees have compiled. They span a variety of topics, some more relevant than others. They are also for various audiences, some explicitly academic/scholarly and others written for a broad public audience. We collect foundational citations, current and interesting research, work from diverse researchers, and conversations around current events that relate to our discussions, training, and/or research. Although we have collected these resources for our own use, we hope this page will be useful to others, and we encourage revisions and updates to this document.

Next Book (Fall 2021) – Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (Crawford 2021), available for purchase here or probably Amazon

5.1 Book Club Picks

Notes for books we have read can be found in Chapter 6.

• Fall 2020. Data Feminism (D’Ignazio and Klein 2020), notes in Ch 6.1
  • This was our first book as a group (we were inspired by the virtual reading group, linked below). We think it is a good read for anyone joining the group or just interested in reading about these topics.
  • Recordings of the author-led online reading group and sketchnotes are a wonderful resource, here
  • Many of the resources included in our list below are cited in DataFem
• Spring 2021. Race After Technology: Abolitionist Tools for the New Jim Code (Benjamin 2019), notes in Ch 6.2
  • This book got us thinking about race in society and in technology.
  • Dr. Benjamin gave some wonderful keynote presentations as we were discussing the book (eg, keynote presentations at AMIA 2020 and CHI 2021)
• Summer 2021. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (O’Neil 2016), notes in Ch 6.4
  • Although not directly addressing healthcare or informatics, this book provides an overview and framework of what can go wrong with mathmatical modeling, including devestating real-world implications. It is an enjoyable and accessible read for a non-technical audience.
• Fall 2021 (current). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (Crawford 2021), notes in Ch ??

5.2 Comprehensive List

5.2.1 Bias (eg, due to race, gender) + Technology

• Race After Technology: Abolitionist Tools for the New Jim Code (Benjamin 2019)

• Algorithms of Oppression: How Search Engines Reinforce Racism (Noble 2018)

• Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (Eubanks 2018)

• Invisible Women: Exposing Data Bias in a World Designed for Men (Perez 2019)

• Doing Harm: The Truth About How Bad Medicine and Lazy Science Leave Women Dismissed, Misdiagnosed, and Sick (Dusenbery 2018)

• Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech (Wachter-Boettcher 2017)

• Glitch Feminism (Russell 2020), website also includes videos

• Design Justice (Costanza-Chock 2020), and wonderful website

• Coded Bias (documentary) (Coded Bias Netflix 2020), notes in Ch 6.3

• Mimi Onuoha (video) How We Became Machine Readable

5.2.2 Data Science + Society

• Data Feminism (D’Ignazio and Klein 2020)

  • Academic publications (journal articles) by book authors: (D’Ignazio and Klein 2016, 2016; Balaam et al. 2017; Klein 2020; Garcia et al. 2020)
  • Feminist HCI: (Bardzell 2010; Bellini et al. 2018)

• Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (O’Neil 2016)

• Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (Crawford 2021)

  • Kate Crawford discussing infrastructures of technical systems: this and this video

• The Alignment Problem (Christian 2021)

• Ghost Work: How to Stop Silicon Valley from Building a Global Underclass (Gray and Suri 2019)

• The Age of Surveillance Capitalism (Zuboff 2019)

• AI and Society, Stewart Russell: Have the Machines Taken Over? and 3 Principles for Creating Safer AI

• NYT Presents: Rabbit Hole (“Rabbit Hole New York Times Podcast” 2020)

  • About shaping, and being shaped, by the internet

• Health 2049 (podcast) (“Health 2049” 2021)

  • About using storytelling and design strategy to address broad challenges in healthcare

5.2.3 Indigenous Knowledge

• Indigenous Statistics: A Quantitative Research Methodology (Walter and Andersen 2016)

• Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge, and the Teachings of Plants (Kimmerer 2015)

  • Written by the indigenous botanist Robin Kimmerer, this New York Times Best Seller harmonizes scientific and mythic knowledge that highlights the gifts and lessons that we share with the natural world.

• “Studying Those Who Study Us” (TallBear 2020)

5.2.4 (In)Justice in Medicine

• The Hospital: Life, Death, and Dollars in a Small American Town (Alexander 2021)
  • This narrative written by Journalist Brian Alexander tells the stories within a small-town Hospital illuminating the inherent difficulties and dilemmas faced by the U.S. healthcare system that require rooting out systemic problems that have been created.
• Medical Apartheid: A Dark History of Medical Experimentation on Black Americans from Colonial Times to the Present (H. A. Washington 2008)

5.2.5 Human-Centered; Storytelling

• Dr. Rita Charon, on the creation of the field of Narrative Medicine

5.2.6 Higher Ed

• Unequal expectations: First-generation and continuing-generation students’ anticipated relationships with doctoral advisors in STEM (Wofford, Griffin, and Roksa 2021)
• A Field Guide to Grad School: Uncovering the Hidden Curriculum (Calarco 2020)

5.3 Academic Scholarship

• “An actionable anti-racism plan for geoscience organizations”. Ali et al., Nature 2021 (Ali et al. 2021)
• “Embracing Four Tensions in Human-Computer Interaction Research with Marginalized People”. Liang, Munson & Kientz, CHI 2021 (Calvin A. Liang, Munson, and Kientz 2021b)
• “Digital Phenotyping and Digital Psychotropic Drugs: Mental Health Surveillance Tools That Threaten Human Rights”. Cosgrove et al., Health and Human Rights Journal 2020 (Cosgrove et al. 2020)

5.4 Network & Citational Justice

5.5 Other Links to Outside Resources

• Columbia University Data Science Institute, Race + Data Science Resources, curated by Dr. Desmond Patton

• Shut Down Academia Resource Page

• Particles of Justice BLM Resource Page

• Critical Race and Digital Studies Syllabus

• Anti-Racism google doc, another google doc

• Anti-Oppression google sheet

• Concrete Steps for Recruiting, Supporting, and Advancing Underrepresented Minoritized Scientists google doc

• Radical AI

• Queer in AI

Columbia Resources

• Columbia GSAS Diversity and Inclusion
• Student groups and support for BIPOC students/affiliates
• Ombudsman etc

References

Alexander, Brian. 2021. The Hospital: Life, Death, and Dollars in a Small American Town. New York: St. Martin’s Press.

Ali, Hendratta N, Sarah L Sheffield, Jennifer E Bauer, Rocı́o P Caballero-Gill, Nicole M Gasparini, Julie Libarkin, Kalynda K Gonzales, et al. 2021. “An Actionable Anti-Racism Plan for Geoscience Organizations.” Nature Communications 12 (1): 1–6.

Balaam, Madeline, Lone Koefoed Hansen, Catherine D’Ignazio, Emma Simpson, Teresa Almeida, Stacey Kuznetsov, Mike Catt, and Marie L. J. Søndergaard. 2017. “Hacking Women’s Health.” In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 476–83. CHI EA ’17. New York, NY, USA: ACM. https://doi.org/10.1145/3027063.3027085.

Bardzell, Shaowen. 2010. “Feminist HCI: Taking Stock and Outlining an Agenda for Design.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1301–10. CHI ’10. New York, NY, USA: ACM. https://doi.org/10.1145/1753326.1753521.

Bellini, Rosanna, Angelika Strohmayer, Ebtisam Alabdulqader, Alex A. Ahmed, Katta Spiel, Shaowen Bardzell, and Madeline Balaam. 2018. “Feminist HCI: Taking Stock, Moving Forward, and Engaging Community.” In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, SIG02. ACM. https://doi.org/10.1145/3170427.3185370.

Benjamin, Ruha. 2019. Race After Technology: Abolitionist Tools for the New Jim Code. John Wiley & Sons. https://www.ruhabenjamin.com/race-after-technology.

Calarco, Jessica M. 2020. A Field Guide to Grad School. https://press.princeton.edu/books/paperback/9780691201092/a-field-guide-to-grad-school.

Christian, Brian. 2021. The Alignment Problem: How Can Machines Learn Human Values? Atlantic Books.

Coded Bias Netflix. 2020. https://www.codedbias.com.

Cosgrove, Lisa, Justin M Karter, Mallaigh McGinley, and Zenobia Morrill. 2020. “Digital Phenotyping and Digital Psychotropic Drugs: Mental Health Surveillance Tools That Threaten Human Rights.” Health and Human Rights 22 (2): 33.

Costanza-Chock, Sasha. 2020. Design Justice: Community-Led Practices to Build the Worlds We Need. Information Policy. Cambridge, MA, USA: MIT Press.

Crawford, Kate. 2021. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven: Yale University Press.

D’Ignazio, Catherine, and Lauren F Klein. 2016. “Feminist Data Visualization.” Workshop on Visualization for the Digital Humanities (VIS4DH), 5.

D’Ignazio, Catherine, and Lauren F. Klein. 2020. Data Feminism. MIT Press. http://datafeminism.io/.

Dusenbery, Maya. 2018. Doing Harm: The Truth about How Bad Medicine and Lazy Science Leave Women Dismissed, Misdiagnosed, and Sick. New York, NY: HarperOne.

Eubanks, Virginia. 2018. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. New York, NY: St. Martin’s Press.

Garcia, Patricia, Tonia Sutherland, Marika Cifor, Anita Say Chan, Lauren Klein, Catherine D’Ignazio, and Niloufar Salehi. 2020. “No: Critical Refusal as Feminist Data Practice.” In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing, 199–202. CSCW ’20 Companion. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3406865.3419014.

Gray, Mary L, and Siddharth Suri. 2019. Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass. Eamon Dolan Books.

“Health 2049.” 2021. https://www.health2049.com/.

Kimmerer, Robin Wall. 2015. Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge and the Teachings of Plants. Minneapolis, Minn: Milkweed Editions.

Klein, Catherine D’Ignazio, Lauren F. 2020. “Seven Intersectional Feminist Principles for Equitable and Actionable COVID-19 Data.” Big Data & Society. http://journals.sagepub.com/doi/10.1177/2053951720942544.

Liang, Calvin A, Sean A Munson, and Julie A Kientz. 2021b. “Embracing Four Tensions in Human-Computer Interaction Research with Marginalized People.” ACM Transactions on Computer-Human Interaction (TOCHI) 28 (2): 1–47.

Noble, Safiya Umoja. 2018. Algorithms of Oppression: How Search Engines Reinforce Racism. New York: NYU Press. http://algorithmsofoppression.com/.

O’Neil, Cathy. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. 1st edition. New York: Crown. https://weaponsofmathdestructionbook.com/.

Perez, Caroline Criado. 2019. Invisible Women: Data Bias in a World Designed for Men. New York: Harry N. Abrams.

“Rabbit Hole New York Times Podcast.” 2020. https://www.nytimes.com/column/rabbit-hole.

Russell, Legacy. 2020. Glitch Feminism: A Manifesto. London New York: Verso.

TallBear, Kim. 2020. “"Studying Those Who Study Us: Anthropologists, Geneticists & Indigenous Peoples".” Institute for Energy Solutions, University of Arizona. https://energy.arizona.edu/sites/default/files/TallBear%20Native%20Voices%20in%20Stem%2011.18.20.pdf.

Wachter-Boettcher, Sara. 2017. Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech. WW Norton & Company.

Walter, Maggie, and Chris Andersen. 2016. Indigenous Statistics: A Quantitative Research Methodology. Routledge.

Washington, Harriet A. 2008. Medical Apartheid: The Dark History of Medical Experimentation on Black Americans from Colonial Times to the Present. New York: Anchor.

Wofford, Annie M., Kimberly A. Griffin, and Josipa Roksa. 2021. “Unequal Expectations: First-Generation and Continuing-Generation Students’ Anticipated Relationships with Doctoral Advisors in STEM.” Higher Education. https://doi.org/10.1007/s10734-021-00713-8.

Zuboff, Shoshana. 2019. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. Profile books.