Organisers:
Pavel Krupskiy (University of Melbourne)
Liuhua Peng (University of Melbourne)
Laleh Tafakori (RMIT University)
Bouchra Nasri (University of Montreal, Canada)

Program Description:

Multivariate extremes data capture the simultaneous or closely-timed occurrence of extreme events across multiple variables, such as temperature, rainfall, or wind speed. These data are vital for understanding the joint risks posed by natural disasters, designing infrastructure resilient to multiple hazards, and unraveling complex climate interactions for more accurate forecasting and effective adaptation strategies. As extreme weather events increasingly occur in tandem due to climate change, modeling multivariate extremes becomes crucial for assessing their compounded impacts on ecosystems, infrastructure, and communities.

This workshop seeks to unite researchers focused on multivariate extremes modeling with experts in environmental and climate science to foster collaboration and exchangeof ideas. With ample time dedicated to discussions, the goal is to bridge the gap between theoretical researchers and applied scientists, advancing the development of innovative models that can better predict the joint occurrence, frequency, and impacts of extreme events. Such progress will enhance risk assessments, inform adaptation strategies, and guide policy decisions to address the growing challenges of climate

Program Structure:
TBD

Registration:

• Deadline: TBD
• Registration is by invitation only. If you are interested to participate in this program, please contact one of the organisers with your CV and research background.
• Arrival date: 24 January 2027

ASSOCIATED EVENTS
MATRIX Wine and Cheese Afternoon 26 January 2027
On the first Tuesday of each program, MATRIX provides a pre-dinner wine and cheese afternoon. Produce is locally-sourced to showcase delicacies from the region.