Research focus
About the research
How can mechanism design create incentives for truthful behavior in decentralized blockchain systems?
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The research explores theoretical foundations connecting algorithms and mechanism design to model strategic behavior in networks and markets. The group develops algorithms and rigorous analysis from algorithmic game theory to characterize equilibrium outcomes and computational complexity. Work on blockchains studies incentive-compatible protocol design and consensus mechanisms to align participant behavior in decentralized systems. Researchers apply game-theoretic proofs and complexity bounds to evaluate robustness, optimality, and trade-offs of mechanisms and algorithms.
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