01.03.2023
| DSC Seed Grant |
The DSC supports a project that aims to extract inequality-relevant information from online job advertisements
The study will evaluate the potential of online job advertisements as a data source for inequality research. The focus lies on investigating socio-economic questions concerning labour market inequalities.
The project’s main aim is the computational extraction of information about requested qualifications and skills in online employment advertisements. In the next step, the collected data can serve as a basis to carry out analyses regarding gender inequalities as well as inequalities based on educational backgrounds.
The study will draw on a database which consists of online job advertisements that were published by the Federal Employment Agency (BA – Bundesagentur für Arbeit) and are available to the Federal Institute for Vocational Training (BIBB – Bundesinstitut für Berufsbildung).
The research project combines the investigation of socio-economic inequalities with data science methods to explore the potential of online employment advertisements as a source for inequality research.
Funding recipient:
Prof. Dr. Wiebke Schulz (Faculty 8 – Social sciences)
Funding period:
1st March 2023 - 30th June 2023
Updated by: Svenja Goers
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01.03.2023 | DSC Seed Grant
The DSC supports a project that aims to extract inequality-relevant information from online job advertisements
The study will evaluate the potential of online job advertisements as a data source for inequality research. The focus lies on investigating socio-economic questions concerning labour market inequalities.
The project’s main aim is the computational extraction of information about requested qualifications and skills in online employment advertisements. In the next step, the collected data can serve as a basis to carry out analyses regarding gender inequalities as well as inequalities based on educational backgrounds.
The study will draw on a database which consists of online job advertisements that were published by the Federal Employment Agency (BA – Bundesagentur für Arbeit) and are available to the Federal Institute for Vocational Training (BIBB – Bundesinstitut für Berufsbildung).
The research project combines the investigation of socio-economic inequalities with data science methods to explore the potential of online employment advertisements as a source for inequality research.
Funding recipient:
Prof. Dr. Wiebke Schulz (Faculty 8 – Social sciences)
Funding period:
1st March 2023 - 30th June 2023
Author: Svenja Goers
If you have any questions regarding the DSC Seed Grant, feel free to contact me.
Dr. Lena Steinmann
DSC Coordinator
+49 (421) 218 - 63941
lena.steinmann@uni-bremen.de
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