The Gender Gap in Computer Science — A Bibliometric Analysis

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.

NamSor joins #D4I Data Challenge on Integration of Migrants in Cities

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.

Playing a foreign investor’s behavioural biases

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.