The Data Equity Framework

Author: N/A; Publisher: We All Count; Publication Year: N/A. The following article discusses how anytime data is involved, decisions are being made and those decisions have consequences. Equity needs to be at the forefront, and this 7-step framework is a systematic approach to doing so. Each step has equity-impacting decision points that must be evaluated. These steps are 1). Funding (this is the stage that…

An Ethical Checklist for Data Science

Author: Alan Fritzler; Publisher: Data Science for Social Good; Publication Year: N/A. 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…