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 …)
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.
Using a library or an APIs to infer the gender from a given name, is a common way to fix
A new research by Elsevier used NamSor Gender API along with other methods, to provide an analysis of research performance through
LinkedIn has become the largest professional network, globally. It is a rich source of data for social researchers working on
VivaTech 2016 was Male and French. Is VivaTech 2017 the international and diverse startup event Paris needs?
This week, NamSor API reached a symbolic landmark. We’ve processed over 1bn names, since the API was launched. It’s a
As much as we would have liked, we couldn’t join the WebSummit in Lisbon. We were in Brussels to participate
1. Some leaders are born women
2. Iranian Diaspora : Human talent cannot be confined
3. Do social good, but make a ####load of money too!
CrunchBase and AngelList are the two largest databases covering the global startup ecosystem. About FDIMagnet, FDIMagnet is NamSor™ offering