Keywords: Data Analysis, Data Context, Data-for-Good, Ethical Choices, Limits, Pro-Bono, Quantifying Potential Harm
Author: Christine Henry
Publisher: DataKind
Publication Year: 2018
Summary: The following article features DataKind (a data-for-good organization) outlining their data code of ethics for being a pro-bono data scientist. They emphasize that ethics is always important, but especially in data-for-good, when analysis impacts especially vulnerable populations. They compiled a living document code of ethics that is essentially: 1). To actively seek out and consider potential harm from research; 2). Actively seek to understand data context; 3). Enable others to understand the data analysis choices you make; 4). Actively seek to understand your limits; and 5). Debate and discuss ethical choices.