Exploring Emerging Collective Behaviours in Large-Scale Data-Driven Networked Systems

理解大规模数据驱动的网络系统中出现的集体行为，开发模式识别和干预的方法和方法，对于高影响力应用（如使用智能电表的智能能源供应）非常重要。该项目将为发展提出新的理论，这将增强澳大利亚在该研究中的领先地位，并为工业应用和下一代领先研究人员的培训提供前沿技术。

Understanding emerging collective behaviours in large-scale data-driven networked systems and developing methodology and approach for pattern identification and intervention are very important for high impact applications such as smart energy supply using smart meters. This project will propose a new theory for the developments, which will enhance Australia's leading position in this research and provide a cutting-edge technology for industrial applications and training of the next generation of leading researchers.