Hosted by USC’s Gould Law, Price School and Econ department, this MS arms analysts to quantify rule impacts. Students scrape PACER dockets to train cartel-screen ML models, simulate carbon-border tariffs in DSGE frameworks, and field-test nudge regulations in City of LA pilot zones. Seminars dissect EU AI Act clauses, while a Capitol Hill externship drafts testimony on algorithmic collusion. Graduates craft empirically grounded, tech-savvy policy blueprints.
Network graph of revolving-door hires across agencies
Carbon-tariff incidence model on import price indices
Bias audit of automated credit underwriting algorithms
RCT measuring default-renewable opt-in at city utilities
Sentiment analysis of public comments on FCC net-neutrality
Dashboard of merger HHI deltas flagged by ML outliers
Policy memo on gig-platform portable benefits accounts
SimCity mod evaluating zoning up-zone welfare gains
Smart-contract escrow framework for consumer refunds
Comparative study of GDPR fines vs. data breach rates
IPO lock-up expiry rule change event study
Dynamic model of congestion-pricing equity offsets
VR mock-jury testing of graphic cigarette warnings
Open-source toolkit for calculating regulatory cost burdens
Dataset of AI Act conformity assessments by sector
Design rules that balance innovation, competition and social welfare.
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