A Perspective on Data Categorization with Regard to Equity, Diversity, and Inclusion in Data Science
Résumé
The concept of category has been the subject of multiple works in various disciplines. In this paper, we attempt to provide a perspective on this concept with regard to the issues of equity, diversity, and inclusion in the context of data science. More precisely, this concerns discussing non-neutrality in the analysis according to the categories and their modalities, questioning who builds them and how, and addressing the issues of multidisciplinary contributions and the posture as a data scientist. This paper is also an opportunity to discuss the articulation of academics and activism issues around these categories. This position paper aims to reflect on the issues of categorization.
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