What is it about?
In this work, I highlight the key opportunities and challenges in using big data analytics models of different kinds - descriptive, prescriptive and predictive in humanitarian crisis situations such as hurricanes, epidemics, hunger, refugee movement and earthquakes.
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Why is it important?
Timely and planned actions could save precious lives when disaster strikes.
Perspectives
In this work, I synthesize my experiences working in the humanitarian and global health arena with my knowledge of modern data analytics techniques to shed light on the potential opportunities and challenges while using big data analytics in humanitarian settings.
JAYASHANKAR Swaminathan
American Diplomacy Publishers
Read the Original
This page is a summary of: Big Data Analytics for Rapid, Impactful, Sustained, and Efficient (RISE) Humanitarian Operations, Production and Operations Management, February 2018, Wiley,
DOI: 10.1111/poms.12840.
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