Pharos Network and Hong Kong University Are Quietly Building the Next Layer of On-Chain Forecasting

1. 1Research collective prediction validity using machine learning algorithms
2. 2Model event probability using statistical techniques and AI-driven approaches
3. 3Develop and test AI-driven decision systems for on-chain forecasting
4. 4Analyze prediction markets and identify areas for improvement
5. 5Design and implement a Capstone project to showcase research findings

Data scientists, AI engineers, and researchers on a team can benefit from this collaboration to improve forecasting models and decision systems, while product managers and entrepreneurs can explore new applications of on-chain forecasting

💡 On-chain forecasting can be improved using collective prediction validity, event probability modeling, and AI-driven decision systems

🚀 Pharos Network & HKU collaborate on on-chain forecasting research! 🤖 AI & ML to improve prediction markets 📈