Oasis Launches Cyber Open Data Standards
The scope of the new Open Data Standards will provide a transparent and free schema to encourage…
Oasis Loss Modelling Framework
An open source catastrophe modelling platform, free to use by anyone.
It is also a community that seeks to unlock and change the world around catastrophe modelling to better understand risk in insurance and beyond.
While its development is largely driven by the global (re-)insurance community, it seeks to provide tools and utility to all.
It is constituted as a not for profit company, and our team believes passionately in empowering more people around the world to better understand risk and uncertainty.
Our ecosystem consists of more than 18 suppliers covering over 90 models.
Our Modelling Platform
The Oasis Loss Modelling Framework provides an open source platform for developing, deploying and executing catastrophe models. It uses a full simulation engine and makes no restrictions on the modelling approach. Models are packaged in a standard format and the components can be from any source, such as model vendors, academic and research groups. The platform provides:
- A platform for running catastrophe models, including a web based user interface and an API for integration with other systems (Oasis Loss Modelling Framework)
- Core components for executing catastrophe models at scale and standard data formats for hazard and vulnerability (Oasis ktools)
- Toolkit for developing, testing and deploying catastrophe models (Oasis Model Development Toolkit)
Open Data Standards (ODS) are key to ensuring continued transparency and are fundamental to improving interoperability that will increase efficiency for the market, reduce costs, and enable greater choice in the use of catastrophe models.
News
Events
3-4
May
09
Feb
Open Data Standard for Cyber
On behalf of ODS, we are delighted to announce the release of the first open data standard for…
17
Jan
Modern Pricing: Update your Methodology
Old Library, Lloyd’s of London, 1 Lime Street, London, EC3M 7HA
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Oasis Loss Modelling Framework is co-funded by
