Indonesia has made significant progress in strengthening its capacity for flood risk analytics and modelling. Through advances in hazard modelling, exposure assessment, and actuarial analysis, policymakers and researchers are increasingly able to quantify the economic risks posed by flooding.
The next critical step is translating these risk insights into practical financial instruments that can protect public finances, support communities, and accelerate recovery after disasters.
To support this effort, the FINCAPES Project, led by the University of Waterloo and funded by Global Affairs Canada, is organizing a Short Course on Parametric Insurance for Flood Risk. The course aims to equip policymakers, financial authorities, actuaries, and insurance practitioners with the knowledge and analytical tools needed to design parametric insurance instruments grounded in real flood risk analytics.
Drawing on outputs from actuarial flood risk modelling, the course will explore how these risk metrics can be translated into effective risk transfer mechanisms. Participants will learn how parametric insurance structures can provide rapid liquidity following flood events, helping governments and institutions reduce fiscal shocks and improve disaster response.
Through a combination of lectures, case discussions, and applied exercises, participants will gain practical insights into the design of parametric insurance products tailored to the Indonesian context.
Participants will explore key concepts and tools required to design parametric insurance solutions, including:
This short course is designed for professionals working at the intersection of disaster risk management, finance, and insurance, including:
Professor David Landriault, Department of Statistics and Actuarial Science, University of Waterloo, Canada
By the end of the course, participants will: