Schedule
Schedule for Math 57, Thinking with Data, Fall 2022
Here is your roadmap for the semester. Each week, follow the general process below:
- Read the assigned weekly material before coming to class. Use the textbook as a reference if there are ideas that are unclear. Write down anything you find interesting or unclear.
- Attend class, participate fully. Present your thoughts on the readings.
- Write a reflection based on the in-class discussion as well as your interpretation of the readings.
Schedule
| date | topic | due | reading |
|---|---|---|---|
| 8.29.22 | • orientation | ||
| Week 0 9.5.22 |
• orientation | (Labor Day, no class) | Alexander (2012) Pompa (2013) Perry (2013) |
| Week 1 9.12.22 |
• introduction | D’Ignazio and Klein (2020) | |
| Week 2 9.19.22 |
• sampling | Reflection 1 | Wright (1998) Gupta (2020) Parker et al. (2015) Wang and Cervas (2021) “Prison Gerrymandering Explained” (2021) Utts (1999e), chp 4 |
| Week 3 9.26.22 |
• experiments • observational studies |
Reflection 2 | Meier (1989) Roberts (February 26, 2021) Utts (1999f), chp 5 |
| Week 4 10.3.22 |
• visualizing data | Reflection 3 | Lupi and Posavec (2016), weeks 3, 11, 25, & 52 Utts (1999g), chp 9 |
| Week 5 10.10.22 |
• causation | Dear Data | Carroll (June 10, 2019) Carroll (August 6, 2018) Utts (1999a), chp 11 |
| 10.17.22 | fall break / inside office hours | draft of content | |
| Week 6 10.24.22 |
• statistical significance |
Reflection 4 | John Bohannon (May 27, 2015) Johannes Bohannon et al. (2015) Utts (1999b), chp 12 |
| Week 7 10.31.22 |
• probability | Reflection 5 | Kaye (Winter 1987)1 Elster (December 6, 2017) Utts (1999c), chp 15 |
| Week 8 11.7.22 |
• confidence intervals • projects |
Reflection 6 | Kessler (June 1, 2018) Kishore et al. (July 12, 2018) Utts (1999d), chp 19 |
| Week 9 11.14.22 |
• ethics • projects |
Reflection 7 | “AI Ethics Case - Automated Healthcare App” (2019) Utts (2004), chp 262 Wikipedia (2019) US Department of Health & Human Services (May 23, 2003) |
| 11.21.22 | • projects | Reflection 8 | |
| Week 10 11.28.22 |
• projects | Angwin et al. (May 23, 2016) O’Neil (2016) |
|
| 12.5.22 | • closing ceremonies | ||
| 12.12.22 | • inside debrief | Final Paper | |
| 12.13.22 2-5pm |
• outside debrief | Final Paper |
Text: Weekly readings will be based, in part, on Seeing Through Statistics, by Jessica Utts, \(2^{nd}\) edition. Except the text by Utts, all readings are available in the course packet.
References
“AI Ethics Case - Automated Healthcare App.” 2019. Dialogues on AI and Ethics. https://aiethics.princeton.edu/.
Alexander, Michelle. 2012. “The New Jim Crow: Mass Incarceration in the Age of Colorblindness,” Chapter 5.
Angwin, Julia, Jeff Larson, Surya Mattu, and Lauren Kirchner. May 23, 2016. “Machine Bias.” ProPublica, May 23, 2016. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing.
Bohannon, Johannes, Diana Kock, Peter Homm, and Alexander Driehaus. 2015. “Chocolate with High Cocoa Content as a Weight-Loss Accelerator.” International Archives of Medicine.
Bohannon, John. May 27, 2015. “I Fooled Millions into Thinking Chocolate Helps Weight Loss. Here’s How.” Gizmodo.
Carroll, Aaron. June 10, 2019. “How Safe Is Sunscreen?” The New York Times.
———. August 6, 2018. “Workplace Wellness Programs Don’t Work Well. Why Some Studies Show Otherwise.” The New York Times, August 6, 2018.
D’Ignazio, Catherine, and Lauren Klein. 2020. “The Power Chapter.” In Data Feminism, Chapter 1. https://data-feminism.mitpress.mit.edu/.
Elster, Naomi. December 6, 2017. “How Forensic DNA Evidence Can Lead to Wrongful Convictions.” JSTOR Daily Newsletters SCIENCE & TECHNOLOGY, December 6, 2017. https://daily.jstor.org/forensic-dna-evidence-can-lead-wrongful-convictions/.
Gupta, Sujata. 2020. “To Fight Discrimination, the U.S. Census Needs a Different Race Question.” ScienceNews. https://www.sciencenews.org/article/census-2020-race-ethnicity-questions.
Kaye, D. H. Winter 1987. “The Admissibility of "Probability Evidence" in Criminal Trials - Part II.” Jurimetrics, no. 2 (Winter 1987): 160–72. https://www.jstor.org/stable/29762002.
Kessler, Glenn. June 1, 2018. “Did 4,645 People Die in Hurricane Maria? Nope.” The Washington Post, June 1, 2018.
Kishore, N., D. Marques, A. Mahmud, M. Kiang, I. Rodriguez, A. Fuller, P. Ebner, et al. July 12, 2018. “Mortality in Puerto Rico After Hurricane Maria.” The New England Journal of Medicine 379 (July 12, 2018): 162–70.
Lupi, Giorgia, and Stefanie Posavec. 2016. Dear Data. http://www.dear-data.com/thebook.
Meier, Paul. 1989. “The Biggest Public Health Experiment Ever: The 1954 Field Trial of the Salk Poliomyelitis Vaccine.” In Statistics: A Guide to the Unknown, 3–14.
O’Neil, Cathy. 2016. “Ineligible to Serve.” In Weapons of Math Destruction, Chapter 6.
Parker, Kim, Juliana Menasce Horowitz, Rich Morin, and Mark Hugo Lopez. 2015. “Chapter 1: Race and Multiracial Americans in the u.s. Census.” In Multiracial in America: Pew Research Center. https://www.pewresearch.org/social-trends/2015/06/11/chapter-1-race-and-multiracial-americans-in-the-u-s-census/.
Perry, Paul. 2013. “Death of a Street-Gang Warrior.” In Turning Teaching Inside Out, Chapter 4.
Pompa, Lori. 2013. “Drawing Forth, Finding Voice, Making Change: Inside-Out Learning as Transformative Pedagogy.” In Turning Teaching Inside Out, Chapter 2.
“Prison Gerrymandering Explained.” 2021. Democracy Docket. https://www.democracydocket.com/explainers/prison-gerrymandering-explained/.
Roberts, Laura. February 26, 2021. “Pfizer, AstraZeneca COVID Vaccines Are Not yet Approved for Kids. How Are Clinical Trials Run for Children?” ABC Health & Wellbeing, February 26, 2021. https://www.abc.net.au/news/health/2021-02-26/vaccine-drug-trial-australia-children-covid-astrazeneca-pfizer/13180282.
US Department of Health & Human Services. May 23, 2003. “Prisoner Involvement in Research,” May 23, 2003. https://www.hhs.gov/ohrp/regulations-and-policy/guidance/prisoner-research-ohrp-guidance-2003/index.html.
Utts, Jessica. 1999a. “11. Relationships Can Be Deceiving.” In Seeing Through Statistics, 177–94.
———. 1999b. “12. Respecting Chance – Testing Hypotheses in Research.” In Seeing Through Statistics, 371–87.
———. 1999c. “15. Understanding Probability and Long-Term Expectations.” In Seeing Through Statistics, 256–78.
———. 1999d. “19. Estimating Proportions with Confidence.” In Seeing Through Statistics, 335–50.
———. 1999e. “4. How to Get a Good Sample.” In Seeing Through Statistics, 48–69.
———. 1999f. “5. Experiments and Observational Studies.” In Seeing Through Statistics, 70–91.
———. 1999g. “9. Plots, Graphs, and Pictures.” In Seeing Through Statistics, 140–56.
———. 2004. “26. Ethics in Statistical Studies.” In Seeing Through Statistics, 484–505.
Wang, Sam, and Jonathan Cervas. 2021. “The GOP Scared Latinos from the Census. Now That May Cost the Party Red Seats.” The Washington Post. https://www.washingtonpost.com/outlook/2021/05/01/hispanics-census-undercount-house-seats/.
Wikipedia. 2019. “Institutional Review Board – Wikipedia, the Free Encyclopedia.” https://en.wikipedia.org/w/index.php?title=Institutional_review_board&oldid=895918834.
Wright, Tommy. 1998. “Sampling and Census 2000: The Concepts.” American Scientist, 245–53.
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