Table of Contents

Final Assignment

Syllabus

Discussion sign up schedule

• Week 1: Ethics and Norms
• Week 2: Research with Human Subjects
• Week 3: Data Management Principles
• Week 4: Research in Low- and Middle- Income Countries
• Week 5: Algorithms and Prediction
• Week 6: PAA
• Week 7: Reproducibility, Replicability, Statistical Inference
• Week 8: The Workplace
• Week 9: Solutions
• Week 10: Guest Lecture
• The Boneyard

Week 1

Ethics and Norms: April 3, 2026

• Slides

Readings

• The NIH’s Subject Matter Guidelines for Responsible Conduct of Research Training
• Ethics and Norms: Thinking Ethically, Research Norms, Fostering Integrity in Research, Ch.2: Core Values and Guiding Norms
• Case Studies: More Than Tuskegee (Background)

Week 2

Research with Human Subjects: April 10, 2026

• Slides

Assignments

CITI Human Subjects Training

• Assignment
• Registration Instructions

Readings

• Research with Human Subjects: Responsible Conduct of Research, Ch. 11
• Universities and Human Subjects Research: Colonial Unknowing, Indigenous Data Sovereignty and IRBs, Land Grab University
• Case Studies: Montana Flyer Study, Bangladesh Mask Study

Week 3

Data Management Principles: April 17, 2026

Readings

• FAIR
• Indigenous Data Principles, CARE Extending CARE Principles
• Case Studies: Population Data Systems Stop Stealing Our Stories

Week 4

Research in Low- and Middle- Income Countries: April 24, 2026

Readings

• Global North-South Partnerships in Research
• Fieldwork in LMICs
• Decolonizing Global Health
• Case studies: Ethics of HDSS Sites

Week 5

Algorithms and Prediction: May 1, 2026

Readings

• Race and Biosocial Science
• Algorithmic Fairness
• Regenerating Demographic Stereotypes
• Case studies: Predictive Policing Unmasking AI, Ch. 6

Week 6 - PAA

Week 7

Reproducibility, Replicability, Statistical Inference: May 15, 2026

Readings

• Responsible Conduct of Research, Ch.3
• Reproducibility: Reproducibility in Science, Manifesto for Reproducible Science
• Replicability: Replicability in Social Science
• Statistical Inference: ASA on P-values, Statistical Tests

Week 8

The Workplace: May 22, 2026

Readings

• Why isn’t science better?
• Labor Organization
• Picture a Scientist (film) (Also on Netflix), Sabatini Almost Hired at NYU

Week 9

Solutions: May 29, 2026

Readings

• Toward Critical Demography 2.0 Regaining Trust in Science
• Case Studies Unmasking AI, Chs. 21 & 23 The Truth Project The Truth Project (Podcast)

Week 10

Guest Lecture June 5, 2025

Boneyard

• Abimbola, S., Asthana, S., Montenegro, C., Guinto, R. R., Jumbam, D. T., Louskieter, L., … & Pai, M. (2021). Addressing power asymmetries in global health: Imperatives in the wake of the COVID-19 pandemic. PLoS medicine, 18(4), e1003604.
• Bashi, V. (2023, September). The Practice of Decolonizing Migration Studies. In Sociological Forum (Vol. 38, No. 3, pp. 886-895).
• Bauer, G. R. (2014). Incorporating intersectionality theory into population health research methodology: challenges and the potential to advance health equity. Social science & medicine, 110, 10-17.
• Belitz, C., Ocumpaugh, J., Ritter, S., Baker, R. S., Fancsali, S. E., & Bosch, N. (2023). Constructing categories: Moving beyond protected classes in algorithmic fairness. Journal of the Association for Information Science and Technology, 74(6), 663-668.
• Bilecen, B., & Fokkema, T. (2022). Conducting Empirical Research With Older Migrants: Methodological and Ethical Issues. The Gerontologist, 62(6), 809-815.
• Billari, F. C. (2022). Demography: Fast and Slow. Population and development review, 48(1), 9-30.
• BlackDeer, A., & Beeler, S. (2024). Decolonizing big data: addressing data colonialism in social work’s grand challenges. Journal of Ethnic & Cultural Diversity in Social Work, 1-7.
• Borrell, L. N., & Echeverria, S. E. (2022). The use of Latinx in public health research when referencing Hispanic or Latino populations. Social Science & Medicine, 302, 114977.
• Boyd, D. Balancing data utility and confidentiality in the 2020 US census. Technical report, Data and Society, New York, NY, 2019.
• Castro Torres, Andrés F., and Diego Alburez-Gutierrez. “North and South: Naming practices and the hidden dimension of global disparities in knowledge production.” Proceedings of the National Academy of Sciences 119, no. 10 (2022): e2119373119.
• Chauvette, A., Schick-Makaroff, K., & Molzahn, A. E. (2019). Open data in qualitative research. International Journal of Qualitative Methods, 18, 1609406918823863.
• Favell, Adrian. “Immigration, integration and citizenship: elements of a new political demography.” Journal of Ethnic and Migration Studies (2022): 1-30.
• Greenhalgh, Susan. “The social construction of population science: An intellectual, institutional, and political history of twentieth-century demography.” Comparative studies in society and history 38, no. 1 (1996): 26-66.
• Groos, M., Wallace, M., Hardeman, R., & Theall, K. P. (2018). Measuring inequity: a systematic review of methods used to quantify structural racism. Journal of Health Disparities Research and Practice, 11(2), 13.
• Held, M. B. (2023). Decolonizing science: Undoing the colonial and racist hegemony of western science. Journal of MultiDisciplinary Evaluation, 19(44), 88-101.
• Itzigsohn, J. (2023, September). Decolonizing Migration Studies: A Du Boisian/Decolonial Perspective 1. In Sociological Forum (Vol. 38, No. 3, pp. 876-885).
• Khan, T., Abimbola, S., Kyobutungi, C., & Pai, M. (2022). How we classify countries and people—and why it matters. BMJ global health, 7(6), e009704.
• Larregue, J., & Rollins, O. (2019). Biosocial criminology and the mismeasure of race. Ethnic and Racial Studies, 42(12), 1990-2007.
• Lett, E., Adekunle, D., McMurray, P., Asabor, E. N., Irie, W., Simon, M. A., … & McLemore, M. R. (2022). Health equity tourism: ravaging the justice landscape. Journal of medical systems, 46(3), 17.
• Lett, E., & Everhart, A. (2022). Considerations for transgender population health research based on US national surveys. Annals of Epidemiology, 65, 65-71.
• Lockhart, J. W., King, M. M., & Munsch, C. (2023). Name-based demographic inference and the unequal distribution of misrecognition. Nature Human Behaviour, 1-12.
• Lopez, Ian Haney. “Race on the 2010 census: Hispanics & the shrinking white majority.” Daedalus 134, no. 1 (2005): 42-52.
• Maldonado-Castellanos, I., & Barrios, L. M. (2023). Ethical Issues when Using Digital Platforms to Perform Interviews in Qualitative Health Research. International Journal of Qualitative Methods, 22, 16094069231165949.
• Merchant, E. K. (2022). Environmental Malthusianism and demography. Social Studies of Science, 52(4), 536-560.
• Parray, A. A., Inam, Z. M., Ramonfaur, D., Haider, S. S., Mistry, S. K., & Pandya, A. K. (2023). ChatGPT and global public health: applications, challenges, ethical considerations and mitigation strategies.
• Schinkel, W. (2023). To decolonize migration studies means to dismantle it. On Adrian Favell’s The Integration Nation and question-ability. Ethnic and Racial Studies, 46(8), 1600-1608.
• Schult, Anne. “Numbers and norms: Robert René Kuczynski and the development of demography in interwar Britain.” History of European Ideas 46, no. 5 (2020): 715-729.
• Sewell, A. A. (2016). The racism-race reification process: A mesolevel political economic framework for understanding racial health disparities. Sociology of Race and Ethnicity, 2(4), 402-432.
• Walters, Sarah. “African Population History: Contributions of Moral Demography.” The Journal of African History 62, no. 2 (2021): 183-200.
• Wang, Feng, Yong Cai, Ke Shen, and Stuart Gietel-Basten. “Is demography just a numerical exercise? Numbers, politics, and legacies of China’s one-child policy.” Demography 55, no. 2 (2018): 693-719.

Acknowledgment

This course website is built based on the course materials prepared by Dr. Jessica Godwin in Spring 2024.