Edited by Samia Amin, Markus Goldstein
In recent years, the world has seen both massive destruction caused by
natural disasters and immense financial and physical support for the
victims of these calamities. So that these natural hazards do not
become manmade disasters, effective systems are required to identify
needs, manage data, and help calibrate responses. If well designed,
such systems can help coordinate the influx of aid to ensure the timely
and efficient delivery of assistance to those who need it most.
Data Against Natural Disasters seeks to provide the
analytical tools needed to enhance national capacity for disaster
response. The editors and authors begin with an overview that
summarizes key lessons learned form the six country case studies in the
volume. Next, they outline the data needs that arise at different
stages in the disaster response and explore the humanitarian
community’s efforts to discover more effective response
mechanisms. The country case studies review the successes and failures
of efforts to establish innovative monitoring systems in the aftermath
of disasters in Guatemala, Haiti, Indonesia, Mozambique, Pakistan, and
Data Against Natural Disasters will be useful to policy
makers and others working in port-calamity situations who are seeking
to design new monitoring systems or to improve existing ones for
disaster response management.
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