Project Details
Description
Digital transformation and the COVID-19 economic crisis massively affect low-skilled workers’ labour market opportunities. With LOWSKIM, Jobook, in partnership with LISER, will set up innovative solutions and tailored advice services to recruiters and low-skilled candidates. While most existing recruitment app rely on résumé and focus on high-skilled, this project aims at offering low-skilled workers the access to new job opportunities with a good skill match and with a low risk of automation.
To achieve this overarching goal, LOWSKIM will develop AI solutions in semantic web and clustering technics to improve the job matching process and conduct field-experiments and surveys to identify drivers and success of the innovative Jobook app. By exploiting the skill complementarity propensities between occupations across space and business sectors and beware of jobs at risk and growing ones, LOWSKIM will guide job candidates to adequate and secure job positions.
The innovative R&D activities will contribute to two fields of research. On the one hand, LOWSKIM will contribute to computer science by developing AI solutions i) to generate a skill taxonomy; ii) to apply this taxonomy on structured and unstructured data from both candidates’ profiles and job vacancies and iii) to identify the skills mobility opportunities of lowskilled workers across occupations, space and business sectors.
On the other hand, LOWSKIM will contribute to the labour economics literature by i) investigating the jobs at risks due to digital transformations, and the current economic crisis; ii) identifying the emerging job opportunities due to population ageing and the green revolution; iii) assessing the drivers of candidates’ willingness to stick to their current occupation versus to move to another one, geographical area or business sector and iv) testing whether the job matching process improves the hiring success of candidates and their retention in short and medium-term horizons.
| Acronym | LOWSKIM |
|---|---|
| Status | Finished |
| Effective start/end date | 1/09/21 → 31/08/23 |
Funding
- Luxembourg National Research Fund (FNR)
Keywords
- Low-skilled workers
- Skill mismatch
- Recuitment app
- AI solutions
- Field-experiment and surveys
Research output
- 2 Other contribution
-
Pénurie de main-d’œuvre dans les métiers ne nécessitant pas de diplôme universitaire : une étude exploratoire sur le rôle joué par les conditions de travail
Hauret, L. & Martin, L., 7 Nov 2023, 11 p. Esch-sur-Alzette : LISER.Research output: Other contribution
Open AccessFile321 Downloads (Pure) -
Les métiers en pénurie au Luxembourg : une analyse des métiers n'exigeant pas un diplôme universitaire
Martin, L. & Baer, I., 6 Dec 2022, 14 p. Esch-sur-Alzette : LISER.Research output: Other contribution
Open AccessFile530 Downloads (Pure)