Inferring The World's Gender and Ethnic Diversity using Personal Names
What are the most common surnames in Uttar Pradesh? Where is the Uttar Pradesh diaspora located ? Which casts enter the SC/ST or OBC list ? How does the caste category and affirmative action affect people’s education and employment in the public sector in Uttar Pradesh? What about
Non-discrimination laws in the US represent the only available path to challenge discrimination caused by biased AI. On the other hand, the EU’s legal framework has developed regulations to tackle the challenges posed by biased AI.
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.
What’s in a name? Artificial intelligence was used to classify the personal names of entrepreneurs and beneficial owners of companies in eight European countries and derive unique insights into the Contribution and Challenges of Ethnic Minority Businesses in Europe.
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.
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.
Romanization of Japanese names is easy, but translating a Japanese name back to its original form in Kanji with the correct probabilities is hard. There are many Kanji variants for a single Japanese name in its romanized form.
In the early 19th century, the Americo-Liberian settlers encountered ethnically, linguistically diverse tribal populations. Even today, names reflect the diversity of populations in Liberia. Some names appear very similar to names of Afrlcan-Americans. Some other names reflect indigenous cultures.
We used NamSor ML to discover three groups of names, among male names and female names in Tatarstan. For each group, we show the most frequent given names and family names.
You can now enrich SalesForce contacts with gender information purely based on their names. The new add-on component was released
Since 2018, NamSor has been used append gender to authors in RePEC (Research Papers in Economics). Overall, 25.8% of economists are female.
If you are unfamiliar with North-Macedonian language and culture, you might think that МАРЈАН is a female name, right? Well it’s not. It’s most likely a male name.
We’ve released a new version of the opensource Java Naive Bayes Classifier (JNBC), so it can now run on RocksDB
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