How to Ethically and Responsibly Identify Gender in Large Datasets

J. Nathan Mathias at the MIT Symposium on Gender and Technology has prepared a practical guide to methods of identifying gender in large datasets and the ethical considerations that accompany them. The guide, which has a wealth of useful links and resources, is here.

Quantitative analyses that occur without the knowledge or consent of people involve a very serious power and voice imbalance that should not be done without careful thought and consultation. A good rule of thumb, from Sunil Abraham, is that the greater the power of a person, the greater transparency is acceptable.

Lego gender

Photo credit: Rupert Ganzer under a CC-BY-ND 2.0 licence.

Comments (1)

  1. Pingback: Norman Shamas and Samita Thapa: The case for gender data — Responsible Data Forum

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Published on: 9 Dec 2014
Discussion: 1 Comment