Georgia Tech’s Public Policy PhD merges causal-inference rigor with deep tech fluency. Students scrape satellite night-lights to price climate risk, audit AI hiring tools for bias, and simulate grid resilience under extreme weather—all while rotating through Senate science committees and Atlanta municipal hackathons. Graduates translate Python notebooks into legislation that shapes autonomous-vehicle corridors, privacy regimes, and green-hydrogen tax credits.
Scenario analysis of universal basic income funded by carbon dividends
Differential-privacy framework for census micro-data releases
Carbon-border-adjustment simulation for steel and cement imports
Algorithmic-accountability act impact assessment on SMEs
Dynamic congestion-pricing model with equity constraints
GIS equity audit of federal broadband grant allocation
Cost–benefit model for rooftop-solar incentives on low-income homes
Legislative roadmap for quantum-safe cryptography adoption
Green-hydrogen production tax-credit optimization study
Open-source dashboard forecasting EV-charger equity gaps
Nudge toolkit increasing voter turnout via secure mobile ID
Impact evaluation of face-recognition bans on policing outcomes
Extended-producer-responsibility policy design for e-waste
Risk–benefit analysis of drone delivery in urban airspace
Stakeholder serious-game for autonomous-vehicle right-of-way norms
Leverage analytics and ethics to govern emerging technologies.
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