Closing the knowledge gap to better manage climate risk

How can a public library of risk data help low- and middle-income countries adapt to climate change?

What can a social enterprise that helps India’s smallholder dairy farmers earn more and lower their carbon emissions learn from a team of Swiss Re volunteers?

Disasters disproportionately affect poorer countries, in many cases magnifying existing inequalities. Such countries have less access to risk data and tools to make informed decisions to reduce harm – and lower levels of insurance coverage to compensate losses – when disaster strikes. Only if decision-makers and communities in vulnerable countries are empowered with the information, tools and methodologies needed to identify and act on climate risks can this inequality be reduced.

Historically, the disaster risk information used by insurance companies has been developed and used within proprietary models accessible to a restricted group of users. More recently, initiatives such as the Oasis Loss Modelling Framework and the Global Risk Modelling Alliance have encouraged companies to open components of their models, which has benefited the development and humanitarian sectors and the low-income communities they serve.

The World Bank’s Global Facility for Disaster Risk Reduction and Recovery (GFDRR) launched the freely accessible Risk Data Library (RDL) in 2023 in response to the UN’s call for investment in digital public goods that can help society tackle big challenges like climate change. This online library houses open-source tools, data and standards that allow users to access, produce and communicate disaster and climate risk knowledge more effectively. The RDL Standard, in turn, ensures that all the data is described in the same way for easy comparison and retrieval.

In 2022 the Swiss Re Foundation teamed up with GFDRR to strengthen the basis for evidence-based disaster risk management worldwide, providing funding as well as access to Swiss Re expertise. With our support, GFDRR created the RDL Standard and granted fellowships to seven young data scientists in climate-vulnerable countries to raise awareness of the RDL and increase the impact of climate risk studies.

Risk intelligence where it’s needed most

In this video, Pierre Chrzanowski, Disaster Risk Management Specialist at GFDRR, presents the rationale for the Risk Data Library and Climate Risk Data Fellowship programme and – along with Beat Aeberhardt, Head Cat & Geo Modelling at Swiss Re – reflects on how broader use of the library promises to improve climate risk modelling and impact mitigation.

Also featured: Climate Risk Data Fellows Paolo Magnata (Philippines), Isabelle Tingzon (Caribbean region), Mohammad Fadli (Indonesia), Bradley Riley (South Africa) and Zia Uddin Foisal (Bangladesh)

 

 

  • 1.6 billion USD

    in potential climate risk investments informed by Fellows’ new data insights

Further Information

The copyright for all images and video displayed lies with GFDRR, Isabelle Tingzon and Gabriel Laurent/Fairpicture

​The Global Facility for Disaster Reduction and Recovery (GFDRR): The Disaster and Climate Risk Data Fellows

Learn more about our work with GFDRR to extend and promote the Risk Data Library and to foster a global community of data scientists who use it to support local management of disaster risk.

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