SEM 704
Individual Research
Fall 2026
Topics
- Understand Generative AI capabilities (and limitations)
- Use Generative AI in a manner consistent with their own ontological perspective
- Develop Claude “skills” for situated, contextual use of AI in research
- Apply Claude “skills” to the development of a research project
- Most of you will want to work with your own empirical material in this seminar. Before
- Tuesday September 15th: 9:00am-12:00pm
Readings
- Introduction by Salk and Chapter 2 “An Anthropologist Visits the Laboratory” in Latour, B., &
- Woolgar, S. (1986). Laboratory life: The construction of scientific facts. Princeton University Press
- Bailey, D. E., Leonardi, P. M., & Barley, S. R. (2012). The lure of the virtual. Organization science, 23(5), 1485-1504
- Zhang, E. (2025). Why language models hallucinate. arXiv preprint arXiv:2509.04664
- Gartenberg, C., Hasan, S., Murray, A., & Pierce, L. (2026). More versus better: Artificial intelligence, incentives, and the emerging crisis in peer review. Organization Science, 37(3), 795-812
- Beane, M. (2019). Shadow learning: Building robotic surgical skill when approved means fail. Administrative Science Quarterly, 64(1), 87-123
- Course Grades Obtained by Graduate Students
Sources
- Course catalogue ↗2026–2027
- 2022-Winter-SEM-704-LECTURE-B1 ↗2022
- 2024-Winter-SEM-704-LECTURE-B01 ↗2024
- 2026-Winter-SEM-704-IND-B01 ↗2026
- 2026-Fall-SEM-704-IND-A01 ↗2026
- 2026-Fall-SEM-704-IND-A02 ↗2026
- 2026-Fall-SEM-704-IND-A03 ↗2026
- 2026-Fall-SEM-704-IND-A04 ↗2026
- 2026-Fall-SEM-704-IND-A05 ↗2026
- Partial automated extraction.