Recognizing the complexity of using data science tools in a humanitarian context, DSEG has created a toolkit with a Framework, Decision Tree and Templates. We invite DSEG members and interested actors to suggest new tools we can create and add to the toolkit.
This is a framework for applying data science methods for humanitarian outcomes. It aims to provide a set of ethical and practical guidelines for humanitarian data collectors, users, and stakeholders to consider when applying data science for humanitarian work. This work is at the juncture of data science (in particular AI), ethics, responsible data management, humanitarian innovation, and humanitarian principles and standards.
Navigating humanitarian data science projects is no easy task. We have therefore tried to guide humanitarians through this process with the help of an interactive decision tree. You can use the decision tree to determine whether and how data science could work for your use case.