Georgia Tech’s MS in Public Policy equips STEM-literate changemakers to bridge code and Congress. Coursework pairs Python-based causal inference and cost–benefit analysis with seminars in AI regulation, climate justice, and cyber-governance. In the Data for Social Good Lab, students build open-data portals, model carbon-pricing schemes, and simulate broadband equity. Semester residencies in Washington, D.C., and under the Gold Dome place cohorts inside committee rooms where autonomous-vehicle statutes and semiconductor-incentive bills are forged.
Open-source dashboard forecasting EV-charger equity gaps
Policy brief on algorithmic accountability in city budgeting
Scenario analysis of UBI funded by carbon dividends
Legislative options for quantum-safe cryptography mandates
Multi-criteria assessment of high-speed rail corridors in the Southeast
Privacy-preserving contact-tracing framework evaluation
GIS heat-map of flood risk versus affordable-housing locations
Stakeholder simulation game for AV right-of-way rules
Cost–benefit model of rooftop-solar incentives on low-income homes
Nudge toolkit for increasing voter turnout via mobile ID
Regulatory roadmap for direct-air-capture tax credits
Equity audit of broadband-infrastructure spending by county
Smart-city procurement guide for ethical face recognition
Budget-constrained optimization of green-infrastructure portfolios
Impact study of AI hiring tools on workforce diversity
Leverage data and ethics to craft policies for a just, tech-driven future.
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