Author: NamSor.app

NamSor™ is a European designer of name recognition software. Our mission is to help make sense of the Big Data and understand international flows of money, ideas and people. Our specialized data mining software recognizes the linguistic or cultural origin of personal names in any alphabet / language, with fine grain and high accuracy. Names are meaningful : we use sociolinguistics to extract their semantics and deliver actionable intelligence.
FDI Manget is NamSor offering for Foreign Direct Investment promotion since 2014.
FDI Magnet / General

ChatGPT on Diaspora & FDI best practices

A country can use its diaspora, or the group of people who have emigrated from the country and settled in other parts of the world, to attract foreign direct investment (FDI) by leveraging their connections, resources, and knowledge. Diaspora mapping tools like NamSor Origin can help to better target diasporas for investment promotion and growing remittances by providing detailed information on the demographics and characteristics of a country’s diaspora population.

"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).

IOM Diaspora Mapping Toolkit Pagecover
Machine Learning

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)
Machine Learning

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”.

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)
General

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
General / Machine Learning

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
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.

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