This unique Duke MS integrates computer science with market design. Students code mechanism-design auctions, audit algorithmic bias in ad exchanges, and deploy agent-based simulations on high-performance clusters. Interdisciplinary sprints with Pratt engineers prototype blockchain incentive layers for energy sharing. Graduates launch fintech products or pursue PhDs at the CS–econ frontier.
Smart-contract auction for peer-to-peer solar trading
Multi-agent simulation of congestion pricing with autonomous taxis
Fair division algorithm allocating refugee-housing slots
Reinforcement-learning bidders in spectrum auctions
Blockchain protocol for decentralized reputation scoring
Privacy-pricing model for personal-data exchanges
Combinatorial auction solving cloud-compute allocations
Synthetic dataset generator for ethics audits in gig-platforms
Explainable recommender optimizing charity matching
Mechanism design for stable-coin monetary policy
Deep RL agents cooperating in public-goods provision games
Interactive teaching tool for matching theory experiments
Policy brief on antitrust regulation of AI-driven platforms
VR negotiation simulator for carbon allowance trading
Open-source library for truthful machine-learning mechanisms
Engineer fair, efficient digital markets at Duke’s econ-tech nexus.
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