Job adverts include detailed descriptions of skills, knowledge and behaviours relevant to carry out occupational and professional roles in firms. In addition, they (occasionally) show earnings information, provide firm characteristics and contextualise to local labour markets. Such data, validly extracted from job adverts, are an invaluable resource to inform education and labour market policy about crucial aspects of matching job seekers and vacancies and, together with further data sources, likely returns from skills investment and potential skills shortages affecting different sectors or localities in the economy.
With improving information technologies, online job search engines grew since the 1980s. Since then they created huge amounts of data, which can be used to provide systematic descriptions of job skills at a granular level and to understand changes affecting occupational roles. However, the use of such sources for research in economics, business and education only emerged recently with better availability of off-the-shelves packages for text analytics allowing individual researchers to navigate the complexities of unstructured “big” data and to derive high-quality structured information from millions of vacancies. And finally, the analytical work for descriptions and econometric modelling offers new opportunities and challenges as with many “Big Data” applications.
Our workshop aims at interested researchers working with such data, with a focus on the analysis of knowledge, skills and behaviours relevant to jobs. A non-exhaustive list of topics includes:
- Understanding broader or specific aspects of skills from vacancy data, for example specific to tasks, jobs, sectors or localities
- Longitudinal studies on changes in occupational profiles and skills requirements
- Topical research about skills changes, e.g. resulting from decarbonisation or increasing digitalisation of job roles
- Understanding skills relevant to making transitions into the labour market, for example data used in vocational education institutions and universities from placements
- Methodological innovations in the work with large data from online vacancies
Termin
13.10.2022
Zu Gast
- Felix Busch (University of Zurich)
- Cath Sleeman (Nesta)
- Dafni Papoutsaki (University of Brighton)
- Stefan Speckesser (University of Brighton)
- Michael Stops (IAB Nuremberg)
Ort
School of Business and Law, Elm House, University of Brighton, UK
(Online format in case of travel restrictions)
Organisation
- Christopher Matthews, University of Brighton
Konferenz- und Reisekosten
There will be no fee for presenters or interested audience. We will not be able to cover travel expenses, but refreshments, lunch and dinner will be available during the event.
Programm
08:30-09:00
Welcome coffee
09:00-09:05
Welcome and introductions (Toni Hilton, Stefan Speckesser, University of Brighton)
09:10-10:00
Using online job adverts to measure skills and knowledge in the Office for National Statistics (ONS); Gueorguie Vassilev, Head of Skills, Time-use and Economic Well-being, ONS
10:00-11:35
Session 1: Job vacancy data as a new resource to understand skills in jobs
Generating Linked Skills Data for Knowledge Discovery in German Labour Market Documents; Jens Dörpinghaus, University of Koblenz-Landau, Germany
New insights on skills from the application of economic complexity to UK job postings data; Elena Magrini, Lightcast
Examining the effect of labour market slack on wages during periods of reduced mobility; Dafni Papoutsaki, University of Brighton
11:35-11:45
Break/refreshments
11:45-13:00
Session 2: Specific skills 1: Digital
AI skills on the labour market; Michael Stops, Institute for Employment Research, Nuremberg
Associations of digital skills and earnings in occupations with mid-range skills: Empirical evidence from apprenticeship vacancy data from England; Lei Xu, University of Bournemouth
13:00-13:30
Lunch
13:30-14:45
Session 3: Specific skills 2: Technological change and decarbonisation
Who’s fit for the low-carbon transition? Emerging skills and wage gaps in job ad data; Misato Sato, Grantham Research
Institute, London School of Economics and Political Science
Automation, Skill and Job Creation; Kaizhao (Gavin) Guo, Department of Economics, Adam Smith Business School
14:45-16:00
Session 4: Understanding occupational knowledge, behaviour and job quality
What’s a ‘female’ occupation anyways? On the cultural foundation of occupational stereotypes; Felix Busch, University of Zurich
Building a data-driven taxonomy of job quality; Cath Sleeman, Nesta
16:00-16:15
Break/refreshments
16:15-17:30
Policy session on Future skills; Frank Bowley, Head of the Unit for Future Skills, Department for Education (requested)
17:30
Close/plans for further collaboration
18:30
A Flight with the Brighton i360 and dinner at the West Beach Bar and Kitchen
Anmeldung
Sie können sich auf der Homepage der University Brighton registrieren.