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20 Lessons Learned from the CRAIC Project 20 Lessons Learned from the CRAIC Project

The project consortium learned many lessons along the way, and the CCRIF team is pleased to have been part of the development of this document that captures 20 key lessons we have learned over Phases I and II. These lessons learned will be key in the implementation of Phase III and would allow the project team to build on the best practices from the previous phases as well as focus on taking corrective action in areas that were not as successful, but for which there is now a more in-depth understanding in this relatively new and innovative area of climate risk insurance.

Applying for a CCRIF SPC Small Grant: Application & Project Proposal Writing Guidelines Applying for a CCRIF SPC Small Grant: Application & Project Proposal Writing Guidelines

This document is a “toolkit” designed for NGOs and CBOs to enable them to prepare and submit project proposals to the CCRIF Small Grants Programme. This programme provides grants between US$5,000 and US$25,000 to NGOs CBOs and academic institutions to implement community-based disaster risk reduction projects.

Policy Brief - Linking Social Protection with Climate Resilience & Adaptation Policy Brief - Linking Social Protection with Climate Resilience & Adaptation

An Example of how Weather-based Sovereign Risk Insurance and Microinsurance can Contribute to Effective Social Protection

CCRIF SPC Support for Disaster Risk Management in the Caribbean Region CCRIF SPC Support for Disaster Risk Management in the Caribbean Region

This publication highlights CCRIF’s support to its members and the people of the Caribbean for disaster risk management through its Technical Assistance Programme.

CCRIF SPC Technical Workshop Manual - Barbados - March 2019 CCRIF SPC Technical Workshop Manual - Barbados - March 2019

In undertaking the development of the CCRIF parametric insurance coverage, significant investment has gone into developing the underlying catastrophe models. Catastrophe models are essential tools in assessing the risk associated with catastrophe events. The CCRIF model is based on robust datasets all developed within the context of the particular hazards of relevance to the client countries.