Circular Economy Data: Circular Economy Via Data Science, Artificial Intelligence, Knowledge Networks, Digital Infrastructure, Policy Design explains how data science, artificial intelligence, and digital infrastructure underpin the circular economy as a response to climate change and growing sustainability pressures. It clarifies how knowledge networks and policy design shape evidence-based approaches to resource efficiency, waste reduction, and long-term environmental resilience.
- Understand how the circular economy uses data and digital infrastructure to address climate change and resource scarcity
- Explore how data science supports material flow analysis, waste management, and sustainability assessment
- Learn how artificial intelligence strengthens insight into circular economy systems and environmental decision-making
- Gain insight into how knowledge networks connect science, policy, and institutions in circular economy governance
- See how digital infrastructure improves transparency, traceability, and coordination across circular economy systems
- Familiarize yourself with the role of policy design in aligning circular economy strategies with sustainability goals
- Understand how evidence-based approaches support environmental resilience and long-term resource management
Circular Economy Data offers professionals, researchers, and policymakers a clear understanding of how data science, artificial intelligence, and knowledge networks support the circular economy. The book strengthens insight into sustainability, climate change, and digital infrastructure, helping readers align their work with modern circular economy and environmental policy priorities.
