Category: Gender

Distric-9 like ship hovering over Malmö in June 2025
Gender / Machine Learning

Unlocking Migration Insights: Personal Name Classification & Big Data at IFMS 2025

From June 16–18 in Malmö, the 4th International Forum on Migration Statistics (IFMS 2025) brings together statisticians, policymakers, demographers, and data scientists to advance innovative tools—especially Big Data and AI—for richer, more timely migration statistics.

One particularly promising innovation, already used by the UN International Organization for Migration (IOM) as part of its Diaspora Mapping and Engagement Toolkit, is personal name classification, a technique that leverages large datasets of names to infer migration patterns and origins

Gender

New paper “Corruption and audit fees: New evidence from EU27 countries”

This study examines the relationship between country-level corruption and audit pricing decisions across EU27 countries. Using a sample of 29,607 firm-year observations for the period 2011–2021, I find that firms headquartered in more corrupt countries pay higher audit fees and have longer reporting lags. I also show that this relationship is stronger after the EU audit reform came into force in 2016. The results suggest that auditors respond to corruption risk stemming from the broader macroeconomic environment by increasing audit fees and audit effort. […]

Illustration for paper "Gender differences in the patterns and consequences of changing research directions in scientific careers"
Gender / General

New paper : “Gender differences in the patterns and consequences of changing research directions in scientific careers”

Changes of research directions in scientific careers are related to the so-called “essential tension” between exploration of new knowledge and exploitation of established knowledge in research and innovation. Changes of research directions are thereby assumed to influence the evolution of science in general. Research has shown that such changes may also affect the success of individual scientists in their careers. […]

"societal pressures encourage women to be more uncertain than their male counterparts" Illustration by DALL-E
Gender / General / Machine Learning

Do societal pressures encourage women to be more uncertain than their male counterparts?

ChatGPT is impressive … it works like magic. But how robust are its answers, compared to recent academic results? ChatGPT can write about the Neo-Assyrian period, but what if a major archeological discovery were made that would change everything we know about this period. How long would it take for ChatGPT to adjust its knowledge?
We’ve prompted ChatGPT with some of the research questions of the paper “Editing a Woman’s Voice” (2022, Anna M. Costello, Ekaterina Fedorova, Zhijing Jin, and Rada Mihalcea).

“A conference in interdisciplinary research with diverse women and men researchers.” DALL-E
Gender

New scientific paper using/citing NamSor

Do women undertake interdisciplinary research more than men, and do self-citations bias observed differences? A paper published in Quantitative Science Studies (2022), authored by Henrique Pinheiro, Matt Durning, David Campbell. 2022 has seen the number of scientific articles using or citing NamSor nearly double. Announcement : new blog in Spanish language.

Gender Imbalance in Mathematics Citations Do female mathematicians get cited less than men? Undergraduate project by Katharina Limbeck supervised by Janine Illian
Gender

Do female mathematicians get cited less than men?

The gender gap in STEM subjects has been widely studied and it is a known fact that women are under-represented in mathematics, especially in the most reputable mathematics journals. One aspect of this gender gap, which has not yet been analysed specifically for mathematics is gender imbalance in papers’ reference lists.

Gender / General

Barcelona University ‘Bloc de Lletres’ celebrates International Women’s Day #genderdatarevolution

For International Women’s Day, one blog post and one large study by European Commission illustrate how NamSor can be used to produced an analysis of the gender gap in a particular field, using open databases.

Gender

Open Source : Gender Analysis of Implicit Mentoring

n this fresh study, “Implicit Mentoring The Unacknowledged Developer Efforts in Open Source”, Zixuan Feng, Amreeta Chatterjee, Anita Sarma, and Iftekhar Ahmed characterize implicit mentoring in software development and examine gender behavioural differences.