# Research

Exploring the future of blockchain technology through academic research and innovation at Emory University.

## Featured Research

Highlighting our latest breakthrough research and high-impact publications

### State of Bittensor in 2025: Leading Decentralized AI Network

Robert Sun • Emory Blockchain

In 2025, Bittensor became the leading decentralized AI network, driven by rapid subnet growth, strong staking activity, and major institutional investment. This comprehensive analysis examines subnet expansion, TAO staking dynamics, and the Yuma Consensus mechanism that enables scalable, high-quality AI projects.

Bittensor DeAI Subnets Institutional Investment
129 SUBNETS
800K+ TAO STAKED
84.3% QOQ GROWTH
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## Research Categories

Explore our diverse research areas and specializations

### State of Bittensor in 2025: Leading Decentralized AI Network

Robert Sun, Emory Blockchain

Comprehensive analysis of Bittensor's growth to 129 subnets, 800K+ TAO staked, and 72.4% QoQ growth. Examines Yuma Consensus, institutional investment, and DeAI ecosystem development.

Data Analysis Published

### Market Microstructure Analysis of DEX Liquidity Pools

Lisa Martinez, Robert Taylor

Examining price discovery mechanisms and liquidity provision patterns across major DEX platforms using high-frequency transaction data.

Dataset Available Code Available

### Ethereum Validator Performance Under Network Stress

James Wilson, David Kim

Comprehensive analysis of validator behavior during high congestion periods, examining attestation rates, block proposal efficiency.

Dataset Available

### Automated Vulnerability Detection in Smart Contracts

Sarah Rodriguez, David Kim

Machine learning approach to identify common vulnerability patterns in Solidity contracts, achieving 94% accuracy in detecting.

Code Available

### Price Formation Dynamics in NFT Secondary Markets

Robert Taylor, Lisa Martinez

Analysis of pricing mechanisms and market efficiency in NFT trading, examining the role of rarity, community sentiment.

Dataset Available

### Token-Weighted Voting: Efficiency vs. Decentralization Trade-offs

Dr. Jennifer Wang, James Wilson

Empirical study of governance outcomes across different voting mechanisms, analyzing proposal success rates and voter participation.

Code Available

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