The number of countries using algorithms to profile jobseekers are on the rise since the 1990s. Algorithmic profiling aims to identify individuals with little counselling needs, and those for whom intensive counselling and active labour market policies are expected to have the largest returns.
The ultimate goal is to target services and thereby expenditures towards the latter. In a dual context of budget constraints and technological innovations, profiling algorithms are increasingly seen as an important tool to identify and target the likely long-term unemployed.
The EU H2020 funded research project HECAT (Disruptive Technologies Supporting Labour Market Decision Making) questions this consensus. The project draws on the experiences of unemployed and aims to develop a digital platform called "My Labour Market".
In this lecture, professor Janine Leschke will present the research project and focus on the scope for using job quality information in profiling and job matching tools.
Who is Janine Leschke?
Janine Leschke is professor with special responsibilities in Comparative Labour Market Analysis at the Department of Management, Society and Communication at Copenhagen Business School. Her main research area is comparative European labour market and welfare state analysis and she is particularly interested in the interface between labour market flexibility and security.
She is editor of the Journal of European Social Policy (JESP). Currently, she is the Danish lead partner at CBS of the EU H2020 project HECAT and she is participating in the EU H2020 project EuSocialCit - The Future of European Social Citizenship
How do I join?
The 30-45 minutes lecture will be held in English and followed by a Q&A. After registering through the register form, we will send you a link to join the online lecture some hours before it starts.