Duke’s Sociology Ph.D. trains scholars to analyze inequality, organizations, and networks with R, Python, and immersive fieldwork. Doctoral researchers scrape rental-platform data to map gentrification, deploy surveys on gig-economy precarity, and construct social-network graphs of campus activism. Community-engaged projects yield policy briefs and public dashboards.
Regression analysis of eviction filings and heat-wave mortality
Ethnography of algorithmic management in food-delivery work
Interactive map of public-transit access vs. job mobility
Sentiment analysis of #MeToo discourse across professions
Network study of mutual-aid groups during pandemics
VR empathy lab simulating life below the poverty line
Machine-learning clustering of school-discipline disparities
Survey experiment on attitudes toward universal basic income
Blockchain pilot securing day-labor wage contracts
Photovoice project on rural broadband inequities
Temporal analysis of protest hashtag cascades
Citizen-science platform cataloging street harassment incidents
Data-viz of incarceration’s ripple effects on family networks
Serious game teaching systemic-racism feedback loops
Meta-analysis of restorative-justice program outcomes
Open-access syllabus on critical data studies
AI tool auditing fairness in public-housing algorithms
Policy brief on cashless bail reform effectiveness
Use data and deep listening to uncover—and address—social inequalities with Duke Sociology.
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