USC POIR PhDs crunch Sentinel-2 night-lights to forecast coups and model cyber-sanctions in extensive-form games. Machine-learning pipelines classify news blackouts, while field experiments nudge vaccine diplomacy perceptions across WhatsApp groups. Policy labs co-draft California AI accountability bills, forging scholars who traverse R, RCTs and realpolitik.
Predictive coup model using random-forest night-light deltas
Robo-tweet bot detection in election misinformation
Spatial game of water-sharing under climate stress
Sentiment NLP of UN speeches on AI ethics
Field RCT on fact-checking prompts in encrypted chats
Network graph of PAC donations to committee chairs
Simulation of Arctic Council resource bargaining
Interactive dashboard of cyber-sanction timelines
Early-warning system for democratic backsliding
NLP crisis-framing comparison state media vs. Twitter
Synthetic control of police reform impacts on turnout
Text similarity detector flagging model-bill diffusion
Citizen-science AR mapping of gerrymander shapes
Policy memo on algorithmic audit mandates
Blockchain prototype for transparent foreign-aid disbursement
Predict, explain and influence the dynamics of power.
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