USC Political Science turns pundits into data scientists. Learners scrape county-level canvass tallies with Python, train Bayesian hierarchical models forecasting turnout, and classify coup likelihood via Sentinel-2 night-light deviations. Simulation labs pit students in climate-treaty bargaining games, while Media-Literacy (ML) modules dissect TikTok algorithmic agenda-setting. Internships at Sacramento’s Capitol connect regression outputs to real-time lobbying, forging graduates fluent in both spreadsheets and statecraft.
Shiny dashboard mapping voter-suppressive bill diffusion
Sentiment analysis of UN debate transcripts on AI ethics
Game-theory model of coalition formation in multiparty systems
Satellite-imaged protest crowd-size estimator using CNN
Policy brief on algorithmic transparency in electoral ads
Network graph of PAC donations to committee chairs
VR role-play of refugee-quota bargaining in EU Council
Telegram bot tracking autocracy news blackouts
Machine-learning early-warning system for democratic backsliding
NLP study of crisis framing in state media vs. Twitter
Comparative analysis of ranked-choice elections outcomes
Interactive timeline of Supreme Court ideological drift
Impact evaluation of civic-tech apps on city-council turnout
Podcast series interviewing whistle-blowers on surveillance laws
Data-journalism piece on policing budgets vs. clearance rates
Synthetic-control study of cannabis legalization and crime
Ethnography of digital campaigning among Gen-Z micro-influencers
AR visualization of gerrymandered district borders
Decode, predict and influence the forces steering governments.
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