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Post-disaster data overwhelmingly focuses on immediate impacts on buildings rather than the long-term needs of populations who live inside those buildings. As shown in this study of the 2015 earthquake in Nepal, data can instead be leveraged to capture the recovery needs of vulnerable populations.

If you’re reading this blog post, chances are that you are 1) an early career risk professional and 2) considering whether you should learn more about data visualization. This blog is meant to provide three reasons why you should, from a fellow early career risk professional who started out the journey herself a few years ago.

The Asia-Pacific region is an exciting opportunity for transdisciplinary work, because the research space is still rapidly growing and forming, the region is traditionally less data-rich, which inspires more creative data collection and data use; meanwhile, the hazards are numerous and the risks rapidly evolving due to population growth and climate change, and requires the need to balance development with disaster risk reduction.

Why we need metrics other than economic losses for smart recovery decisions.