ISM-UCL-UCSB-MQ WORKSHOP: Stochastic Modelling in Climate Risk: Financial Mathematics and Economics

Event Date: 

Tuesday, November 21, 2023 to Thursday, November 23, 2023

Event Location: 

  • In-Person or Zoom

Event Price: 


Registration Link (Link will be added shortly). 



Event Contact: 

Prof. Tomoko Matsui, The Institute of Statistical Mathematics (ISM)
Prof. Andrea Macrina, University College London (UCL)
Prof. Gareth W. Peters, University of California, Santa Barbara (UCSB )
Prof. Pavel V. Shevchenko, Macquarie University (MQ)
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.