NamSor US ‘Race’ / Ethnicity model helps estimate diversity in Chicago Police

Posted by

NamSor has been extensively used by H.R. platforms to provide recruiters with innovative diversity dashboards: is there a gender, racial or ethnic bias in some part of a recruitment process? In Q3-Q4 2019, we plan to open a new API to evaluate gender, ethnic and racial biases in any machine learning process that follow a ‘funnel’ model (such as : recruitment, credit allocation, banking account opening and KYC etc.).

Zack Kertcher, principal of Research Done, has conducted innovative research on the racial breakdown trends in some US public services, and the results have been published in a WBEZ article :

For Black Representation, Chicago Police Hiring Spree An Opportunity That Came And Went

Part of the data analysis project included comparing NamSor’s precision and recall rates with alternatives. Open source classifiers (such as : appeler / ethnicolr) provide functionalities that are similar. Our commitment at NamSor is to try and provide a variety of taxonomies that reveal different aspects of identity through names, the best possible accuracy and a global coverage (all countries, all regions, all alphabets).

About NamSor

NamSor™ Applied Onomastics is a European vendor of sociolinguistics software (NamSor sorts names).

Contact us or schedule a demo.
To learn more about NamSor please visithttp://www.namsor.com
Follow us on Twitter at: https://twitter.com/namsor_com

Image credits : Elliott Ramos/WBEZ

Leave a Reply

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s