IOM Diaspora Mapping Toolkit Pagecover

IOM Diaspora Mapping Toolkit : big data and onomastics

The IOM Diaspora Mapping Toolkit analyses pros & cons for the use of big data and onomastics for Diaspora Mapping. It is based on field experience learned from several project conducted by The International Organization for Migration (IOM) using NamSor technology. One particular case study cited in the report is Skills Mapping Through Big Data: A case study of Armenian diaspora in the United States of America and France

Diaspora networks accross the world (DALL-E)

What is a diaspora (according to ChatGPT)

At NamSor, since 2012, we’ve helped countries reconnect with their diaspora, using our advanced AI to recognize personal names with high accuracy, and to produce new disaggregated information. It took us a while to understand the concept of “diaspora”, how they affect foreign direct investment, remittances, brain-gain vs. brain-drain, the travel industry, real estate … We’ve asked ChatGPT “what is a diaspora”.

"The Social Science Research Network" by DALL-E

Top 20 papers using or citing NamSor in SSRN

Top 20 papers in The Social Science Research Network (SSRN) using or citing NamSor name classification software. SSRN is a high impact journal (top 14% of journals). Some papers used NamSor to infer the gender of a personal name, some other papers to supplement subject data with race / ethnicity, or cultural heritage and ethnic origin.

Le concours externe des IRA : une réussite différenciée selon l’âge, le sexe, le niveau de diplôme et l’origine supposée des candidats 8 NOVEMBRE 2022 AUTRES PUBLICATIONS ÉMILIE ARNOULT PIERRE VILLEDIEU MARIE PREVOT (DGAFP)

New study on discrimination in French public sector

As France doesn’t collect ethnic statistics, organizations in the public and private sector need to work around the lack of data to analyze potential discriminations.

DARES, the directorate of the Ministry of Labour, Employment and Integration which produces analyses, studies and statistics on the themes of work, employment, vocational training and social dialogue has used NamSor to prepare a study on competitive exams in the public sector.

A portrait of Mariam KABORE #thisnamedpersondoesnotexist #DALLE

This Mariam KABORE does not exist

Two weeks ago, we generated several portraits using DALL-E of hypothetical Fatimata SWADOGO, a Bukinabé name shared by hundreds of people in Burkina Faso, mostly in the Centre-Nord, Nord regions of the country. Today, we present some new portraits generated from personal names with the tag #thisnamedpersondoesnotexist – and we feature a “classic fail” of AI software.

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

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

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.

A portrait of FATIMATA SAWADOGO #thisnamedpersondoesnotexist #DALLE

This Fatimata SAWADOGO does not exist

We’ve used DALL-E text-to-image AI to generate portraits, based on names shared by a large number of people. This is our second blog post in our series with tag #thisnamedpersondoesnotexist, exploring how text-to-image AIs interpret personal names. We believe this project can illustrate the complexity of personal names interpretation, at the crossroads of ethnography, sociology, sociolinguistics, geography, history and, more recently machine learning.

A crowd in Burkina Faso (generated by DALL-E)

Common names in Burkina Faso, West-Africa

Burkina Faso is a multi-cultural and diverse country with a rich history. In this article, we would like to explorer how personal names can be interpreted to reflect regional, ethnic appartenance within the country. Then we would like to illustrate how the use of a personal name can affect a black-box Artificial Intelligence – such as OpenAI’s DALL-E. This is a first article in our series of blog posts with tag #thisnamedpersondoesnotexist.