UNC’s MA in Political Science immerses graduate students in quantitative and qualitative methods to scrutinize institutions, conflict, and policy outcomes. R bootcamps, causal-inference labs, and machine-learning workshops equip cohorts to mine big-data electoral rolls and scrape legislative social-media networks. Field schools in South Africa and Brussels embed students within parliaments and NGOs, translating analysis into actionable reform.
Difference-in-differences study of ranked-choice voting adoption
Network graph of lobbying coalitions and bill sponsorship
Survey experiment on disinformation inoculation messaging
Policy simulation game teaching budget trade-offs to high-schoolers
Sentiment analysis of UN General Assembly speeches over five decades
VR town-hall tool visualizing gerrymandering impacts
White paper on AI transparency requirements in public procurement
Grant proposal for civic-tech dashboard on school-board agendas
Comparative analysis of pandemic emergency laws in democracies
Podcast featuring activists using open-data to monitor police stops
Ethnography of participatory budgeting in marginalized neighborhoods
Interactive infographic on global LGBTQ+ rights progress
Machine-learning classifier predicting committee gatekeeping outcomes
Meta-analysis of resource curse literature and causal channels
Workshop on open-source election forensics for journalists
Pair rigorous methods with real-world engagement to impact policy and democracy.
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