Daoping is a dedicated researcher with a keen interest in the coupled natural and human systems and climate change adaptation analysis. He focuses on the critical intersections of risk, environment, and society. Before becoming part of the King's community, he concentrated his research efforts on applying artificial intelligence techniques to assess business risks stemming from climate change while at Cambridge. Daoping also holds the position of Hoffmann Fellow for the Fourth Industrial Evolution of the World Economic Forum.

Research

• Climate change risk analysis based on economic theory and AI techniques
• Complex interactions of climate change, human activities, and the global economy
• Economics of disasters
• Climate change adaptation strategy and policies

Daoping's research broadly focuses on exploring how climate risks affect our socioeconomic system, and in developing ways to build resilience and adapt to climate change. Specifically, Daoping's research focuses on investigating how climate shocks propagate in spatial economic networks and generate both direct and indirect consequences, what the opportunities and challenges in building resilient urban systems are, and how policies can make a difference. His research combines dynamic general equilibrium models, mathematical programming, AI techniques, game theory, and self-developed risk analysis models to conduct quantitative analysis of these topics.

Teaching

Undergraduate

• 5SSG2059 Foundations of Spatial Data Science
• 5SSG2060 Principles of Spatial Data Science
• 6SSG3077 Applications of Spatial Data Science

Postgraduate

• 7SSGN002 Practising Social Research

PhD supervision

Daoping is interested in supervising doctoral students on the following topics:

• Climate change risk analysis AI for risk management