Diversifier-NLP
How job ads are written defines who is applying to them. Using inclusive language is necessary to attract diverse talents.
Factsheet
- Lead school School of Engineering and Computer Science
- Institute(s) Institute for Data Applications and Security (IDAS)
- Research unit(s) IDAS / Business Information Systems Engineering (BISE)
- Funding organisation Innosuisse
- Duration (planned) 01.03.2021 - 31.08.2021
- Project management Prof. Dr. Mascha Kurpicz-Briki
- Head of project Prof. Dr. Mascha Kurpicz-Briki
- Partner Witty Works GmbH
- Keywords Natural Language Processing, Inclusion, Diversity
Situation
Labour shortage and lack of diversity are killers to business performance in Switzerland and the EU and hinder companies to fully perform. Informed companies get active to alleviate these problems by recruiting more diverse talent. Studies show that the language used in job ads or in career sites actually deter certain talents from applying. Using inclusive language is therefore necessary to attract diverse talents.
Course of action
The Witty Works Diversifier helps companies to avoid deterring language and optimize their job ads in real-time. The researchers from the Institute for Data Applications and Security IDAS support Witty Works GmbH in this project to apply innovative Natural Language Processing and Machine Learning technologies to the Diversifier.
Result
By providing an easy-to-use tool with accurate results to optimize job ads to attract diverse talents, diversity and inclusion in the Swiss and European society is improved, in particular on the labour market.
