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.
Science-Metrix develops bibliometric indicators to measure women’s contribution to Science, based on NamSor Gender API.
Lesotho is an enclaved country in southern Africa, surrounded by South Africa. We’ve improved NamSor API calibration for Lesotho, which
Happy to see a NamSor use case included in the IOM’s report ‘Migration in the 2030 agenda‘. Diaspora engagement to
Using a library or an APIs to infer the gender from a given name, is a common way to fix
New-York-based skincare start-up used NamSor gender and origin / ethnicity segmentation on its client data, and discovered an unexpected and rich picture.
Some popular baby names of MALI, West Africa: Female Male FATOUMATA MOHAMED MARIAM MOUSSA AMINATA ABDOULAYE HAWA
NamSor was accepted to participate to the European Commission Data Challenge on Integration of Migrants in Cities (D4I). The aim of the D4I is to stimulate research on various aspects of the integration of migrants at local level.
A new research by Elsevier used NamSor Gender API along with other methods, to provide an analysis of research performance through
Behavioural finance: can you play a foreign investor’s biases towards your goals? Diasporas have a positive impact on trade and foreign investment, but it is critical to engage them in a targeted manner and make sure any “behavioural biases” will work in the favour of investing in YOUR country.