How can Big Data analyses of online job advertisements be used to gain information about skills in demand on the labor market? This question was the focus of the first event hosted by the Bertelsmann Stiftung and the Federal Institute for Vocational Education and Training (BIBB) in Gütersloh in October 2019.
At this meeting, the approximately 20 participants inside were given the opportunity to learn about the latest research findings. Manuel Schandock (BIBB) reported on how job advertisements are used as a data source for occupational research. Christian Hutter (IAB) gave an insight into how new findings on search behavior in the labor market are obtained with the help of Big Data-supported analyses. Jürgen Hermes and Joanna Binnewitt (Institute for Digital Humanities at the University of Cologne) presented what needs to be considered when categorizing requirement profiles from job advertisements. Daniel Stohr (WifOR Institute) showed how further education paths can be identified on the basis of online job advertisements. Julia Nania presented the Index for Digital Competencies, which was developed by Burning Glass on behalf of the Bertelsmann Foundation.
Afterwards, Martina Rengers (Federal Statistical Office), Matthias Gericke (Federal Employment Agency) as well as Anja Bauer (IAB) gave insights into their ongoing research projects in short presentations. The last session focused on how to develop ideas for the use of already existing data. Nikos Askitas gave an overview of the possibilities for collaboration with IZA's Research Data Center. Annina Hering showed how the behavior of job seekers can be studied on Indeed's website.
The concluding feedback round made it clear that the participants were happy to take advantage of the opportunity to exchange experiences and network and would like to participate in further meetings.
This was the agenda.