Workshop Objectives:

 

Exploration of Spatial-Temporal Data: Dive deep into contemporary problems in spatial-temporal statistical data science, especially concerning climate and environmental risk assessment.

 

Understanding Financial Mathematics: Investigate the role of financial mathematics in assessing and managing climate change risks.

 

Impact Discussion: Discuss the broad implications of climate change and the associated challenges in risk management.

 

Research and Collaboration: Identify pressing research questions and foster opportunities for collaboration in the realm of climate change.

 

Model Development: Design new mathematical and statistical models to hedge against climate risks.

 

Financial Innovations: Develop novel financial products and services aimed at aiding clients in risk management. A secondary focus will be on optimizing the cost structure of existing financial services.

 

Integration of Machine Learning: Introduce integration models that employ statistical machine learning to simulate and predict climate change and/or economic scenarios.

 

Workshop Format:

 

Over three days, attendees will engage in a mix of lectures, debates, and hands-on workshops. As the event draws to a close, a roundtable discussion will focus on future challenges related to climate change, including financial mathematics and economic implications.