Measuring Resilience After Natural Disasters

It is often community response, such as mutual aid and collective action, that mitigate the most immediate impacts following a natural disaster.

Michàlle Mor Barak, Dean Endowed Professor of Social Work and Business, and Bistra Dilkina, Dr. Allen and Charlotte Ginsburg Early Career Chair in Computer Science at USC Viterbi School of Engineering, are collaborating on a study that combines social science with machine learning to measure the positive effects of community resilience at the geographic level.

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