NamSor API to classify personal names by gender, country of origin, ‘race’ or ethnicity – is cited in Havard Business
NamSor has been extensively used by H.R. platforms to provide recruiters with innovative diversity dashboards: is there a gender, racial
apiphonenumber : a new free API to validate global phone numbers, combining NamSor Origin and libphonenumber.
Can personal names be used to conduct gender studies, or other social research in West Africa ? Personal names convey
By the end of the week, NamSor v1 will have processed over four billion names since we launched our API
We’ve run an experiment : running a Facebook ad targeting both an audience in MALI and NIGERIA and using NamSor API to segment the engaged African audience.
What if you could build your a search engine with an inverted gender bias ? We’ve connected Algolia and NamSor API to search IMDB top 5000 movies.
With our open source connector, any PowerBI table that has personal names can be enriched with gender information or other diversity analytics (country of origin / ethnicity …)
French researchers have used patronyms to explore diversity amongst different population groups and professions. In France, where ethnic statistics are not collected, this new approach provides interesting insights about French society.
Abstract— The low share of women in computer science is documented by many surveys. Most of these studies are based on registrations or enrolments of universities or other scientific institutions. In this paper, we present a new approach to a) analyse the gender gap in the group of scientists that are currently active in research and b) classify differences for different fields of computer science. This group comprises professors, industrial researchers, senior lecturers, postdoctoral researchers, and doctoral students shortly before finishing their theses. The proportion of women in a specific scientific area of computer science might provide valuable information for strategies to recruit women as postdocs or professors.