- Robust stochastic optimization methods for climate transition risks
- Portfolio optimization and risk-adjusted return modelling under climate policy uncertainty
- Credit and counterparty risk assessment under low-carbon transition scenarios
- Risk-sharing mechanisms and insurance models for climate-related disruptions
- Supply chain risk management in climate transition
- Operational decision-making in emission trading schemes and carbon pricing
- Predictive modelling of carbon stranding risk via supervised learning
- Machine learning and big data analytics for climate risk scenario classification
- Natural language processing applications in climate policy risk analysis
- Bayesian network approaches to modelling climate transition risk propagation
- Agent-based models of climate transition dynamics and systemic effects.