Author:ย Alan Fritzler
Publisher: Data Science for Social Good
Publication Year: N/A
Summary: The following article provides a framework for key questions data scientists should ask themselves as they pursue their projects. The article argues that asking these questions is a good way to improve the chance of delivering projects with a truly positive social impact. The considerations identified by Alan Fritzler can be found within the following categories: Project Selection & Scoping, Building the Team, Data Collection, Analysis, and Implementation. This post brings up some points in the context of data ethics, for example, within Project Selection & Scoping, Fritzler suggests that data science might not be the right tool for the job or that the problem needs to be tackled at a different level in order for there to be sustainable results.
Alan Fritzler has a MSA from Northwestern University, has been employed by LinkedIn as a Senior Data Scientist and Team Lead in Policy Research, and is now a Sr. Manager of Product Policy and Business Operations at Lyft.
