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
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”.
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.
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.
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.
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.
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.
CORD is a direct messaging tool for finding work. CORD’s corporate blog offers some well researched articles and recent data on representation of different genders and ethnic minorities in the Tech industry.
DebunkEU.org analysts Aleksandra Michałowska-Kubś and Jakub Kubś conducted an analysis of social media posts related to sanctions imposed on the transit of goods to Kaliningrad. They used NamSor machine learning classification to assign a likely country of origin for the social account names (real or fake).
Researchers looked at how managers communicate with financial analysts during earnings conference calls, specifically focusing on the managers’ use of
A paper just published in the British Journal of Surgery (Oxford) sourced innovative data from Dimensions AI, a large linked scientific publications dataset, and NamSor, our name gender classification tool, to explore the current state of gender diversity in global surgery – based on the top 1000 most published researchers.