| Governments | • Facilitate the collection and dissemination of comprehensive NatCat data (data on economic losses and uninsured losses).
• Improve recording of fiscal spending on disasters, for example through disaster budget tagging.
| • Contribute to open data initiatives.
• Collaborate with various stakeholders to improve the accuracy and availability of risk models
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| Supervisors | • Collect (and potentially share) data from insurers on insured losses. | • Promote the development of NatCat models to evaluate risk, including encouraging enhanced transparency of the modelling approach and sensitivity of results to key assumptions; provide (scenario) analysis on the root causes and extent of the protection gaps. |
| (Re)insurers (and modelers/ brokers) | • Collect and disseminate relevant NatCat-related data.
• Promote model transparency, helping stakeholders understand and identify potential exposures and the influence of related risks.
| • Develop models to enhance risk assessment for regions lacking robust catastrophe data.
• Contribute to open data initiatives.
• Improve resolution and granularity of NatCat modelling to better reflect risk and enhance peril coverage for under-modeled or emerging perils; integrate vulnerability and socioeconomic data in models to betters estimate losses in underserved populations.
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| International Organisations / Multilateral Development Banks | • Support the development and standardisation of NatCat risk data collection and sharing practices; alongside governments, facilitate the collection and dissemination of comprehensive NatCat data at the global level. | • Contribute to initiatives aimed at improving modelling capabilities and fostering international collaboration. |
| Academia / research Centres | • Academic and research centers can deepen analysis and provide technical expertise on particular risks and structural vulnerability to NatCat events. |