Poverty and disaster risk reduction

A Philadelphia-focused case study conducted by Princeton researcher Sina Razzaghi Asl explores the relationship between high flood risk communities and green spaces.

This paper demonstrates how real-time satellite data, in combination with administrative data and historical household survey data, can be used to model the impact of 2022 floods on Pakistani households.

New research links the long-term exposure of this wildfire smoke to brain health, suggesting that it greatly increases risk of dementia compared with other sources of air pollution.

Poor and marginalized communities suffer more harm when disasters hit and recover more slowly. Hurricane Mitch in 1998 provides a classic example: it triggered an 18 percent asset loss for low-income Hondurans.

This paper focuses on Lake Chad, which used to be the 11th largest lake in the world. Lake Chad, which is the size of El Salvador, Israel, or Massachusetts, slowly shrank by 90 percent for exogenous reasons between 1963 and 1990.

Most people would remember the devastating earthquake that hit Haiti in 2010 claiming the lives of more than 220,000 Haitians. This tragedy brought the country's longstanding struggle with disasters to the forefront of global attention.

Climate change, and the increase in temperature, rainfall extremes and storms that it brings will have a big impact on the ability of poor people to earn incomes.

This paper seeks to fill the gap with regard to the quantification of the impact of climate change on future levels of poverty across different income thresholds and scenarios

Exacerbated by climate change, the 2022 Monsoon Floods in Pakistan severely affected the lives and livelihoods of millions of people, especially in the Sindh and Balochistan provinces.

As temperatures soar in Bangladesh’s crowded capital, accessing cooler spots like parks is getting harder.