Education - Safe Learning Model Research
This page outlines the design and results of the Safe Learning Model pilot research in Sierra Leone from 2017 - 2021 undertaken in partnership with University College Dublin- School of Education.
Read our 2019 annual report
How chronic gaps in adaptation finance expose the world's most vulnerable people to climate chaos.
Report from the Zurich Flood Resilience Alliance
In 2009, wealthy countries committed to mobilize $100 billion in annual climate finance to assist low-income countries to address climate change by 2020. To mark the deadline of this commitment, this report assesses the last decade of global official development assistance (ODA) invested in building people’s resilience to climate change. We ask two questions:
The findings of our analysis were shocking and yet unsurprising; there is insufficient investment in preparing for the impacts of climate change and money is not going to the countries and people that need it most. Using publicly available data to compare climate change adaptation (CCA) and disaster risk reduction (DRR) finance per capita of those living in extreme poverty and climate vulnerability (ND-GAIN index), we found that:
By 2030, climate change adaptation costs are expected to range between $140 billion and $300 billion a year, and rise to between $280 billion and $500 billion per year by 2050. For more severe scenarios of global warming these figures are expected to be much greater. The longer adaptation and risk reduction efforts are put off by chronic underfunding in CCA and DRR, the more difficult and expensive it will be to manage adaptation needs and the harder it will be to save lives and mitigate suffering.
The gap in CCA and DRR financing must be closed if the global community is serious about protecting the future wellbeing of those people most at risk from climate change.
We risk leaving people behind if we do not better target funding according to need.
The report's recommendations call on donor countries to:
The report can be accessed at this link: