Overview
This resource focuses specifically on the ethical aspects of humanitarian data management, ranging from standard exercises such as field-level data collection and processing to more advanced applications of data science, such as predictive analytics. It addresses common ethical concerns with data management, including validity, bias and fairness, and privacy and anonymity.
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