Duke’s Sociology BS trains students to analyze inequality, organizations, and networks using R, Python, and immersive fieldwork. Majors scrape rental-platform data to map gentrification, deploy surveys on gig-economy precarity, and construct social-network graphs of campus activism. Community-engaged research teams co-publish policy briefs with local nonprofits, turning theory into change.
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
Policy brief on cashless bail reform outcomes
Citizen-science platform cataloging street harassment incidents
Data-viz of incarceration’s ripple effects on family networks
Open-access syllabus on critical data studies
Serious game teaching systemic-racism feedback loops
Comparative study of social-capital recovery after natural disasters
Podcast series interviewing first-gen college students on belonging
Use data and deep listening to uncover and address social inequalities with Duke Sociology.
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