Duke’s MS in Analytical Political Economy equips students to interrogate power and resources with the full modern toolkit of game theory, causal inference, and computational modeling. Intensive boot-camps in R, Python, and Stata precede simulations that pit trade-policy algorithms against real-time lobbying data. Interdisciplinary studios with the Sanford School translate equilibrium models into climate-tariff scenarios, while international labs partner with OECD and World Bank economists on live datasets. Graduates leave fluent in mechanism design, network analytics, and persuasive policy writing—ready for think-tanks, PhD programs, or fintech public-affairs roles.
Network analysis of donor–legislator ties in renewable-energy bills
Agent-based simulation of carbon border adjustment mechanisms
Machine-learning model predicting protest diffusion after austerity cuts
Synthetic-control evaluation of sugar taxes on election outcomes
Interactive dashboard mapping crypto-lobby expenditures worldwide
Behavioral experiment on information nudges in voter turnout
Text-mining trade-agreement chapters for labor-rights strength scores
Game-theoretic study of vaccine-patent waiver negotiations
Policy brief benchmarking AI procurement ethics across the G20
Bayesian model of coalition stability under multi-party rule
Web-scraped sentiment index of central-bank speeches and inequality
Spatial regression of infrastructure aid and incumbent advantage
Crowdsourced survey on digital-services taxes and consumer welfare
Blockchain prototype for transparent campaign-finance disclosure
VR role-play teaching public-goods bargaining under climate risk
Model power, predict outcomes, and craft smarter policy with Duke’s data-driven political-economy master’s.
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