Big Data for Labour Market Intelligence - Online capacity development programme (Nov-Dec 2022)

Big Data for Labour Market Intelligence 

Online capacity development programme (Nov-Dec 2022)

This hands-on learning programme is for you!  

Interact with a multidisciplinary team of data scientists, labour market experts, statisticians. 

Simultaneous interpretation: English-French-Ukrainian languages 

 

The new capacity development programme 2022 is structured in two modules

  1. Technical training on concepts, methodological framework, and practical applications.

A programme of 3 training webinars: 2, 9 and 29 November 2022, 08.00-11.30 (GMT) / 09.00-12.30 (CET)

  1. Dissemination and analysis: value of the data system; new themes of analysis (green skills, remote work); value of landscaping and ranking of online job vacancy sources; contextualisation of online job vacancy data in relation to the wider labour market statistics; web data sources for supply side analysis; role and place of AI in the data system.

A programme of 3 dissemination webinars: 15 and 16 November, 06 December 2022, 08.00-12.00 (GMT) / 09.00-13.00 (CET)

We live in ‘datified societies’. Digitalisation of services, businesses, personal and social interactions generate a growing mass of data across the globe. Digital and online information on employment and education opportunities, demand for skills, occupations and qualifications has increased globally, and this vast internet data can be harnessed to improve and add value to Labour Market Information and skills anticipation systems (LMI).

The European Training Foundation (ETF) started the project “Big Data for Labour Market Intelligence” in 2019, targeting development of an innovative data system for analysis of skills demand. The system is based on online job vacancies (advertisements), collected from web sources. In the first phase (2019-2021) the project achieved tangible results, notably the establishment of the databases and online visualisation platforms (dashboards) in three countries (Ukraine, Tunisia, Georgia). In 2022 the project started a new phase, marked by the inclusion of additional countries in the data system (Egypt and Kenya), upgrade of data quality and exploration of new themes and data sources. ETF works with a specialised consortium of data scientists and researchers (LightCast and CRISPUniversity Milano Bicocca).

Every year the project carries out regular capacity development programmes, and all resources and learning materials are accessible online for any interested institution. In the dedicated YouTube channel you find over 20 videos covering different aspects of the concepts, methodology, analysis and use cases.

Key outcomes of ETF project “Big Data for LMI,” including the key dashboards, training programmes, methodological handbook and analytical reports are accessible online:

Report: Big Data for LMI in Ukraine: analytical report, 2020.

More information

Agenda
Labour Market Intelligence - Some new ideas building on innovation, web data and data science
Module 1 - Opening session
Module 1 - Session 1: Online Job Vacancies analysis - Innovation in LMI, overview
Module 1 - Session 2: Presentation of the new dashboards - Ukraine, Lviv region, Egypt, Kenya
Module 1 - Session 3: Skills landscape of Mauritius
Module 1 - Session 4: Cases, examples and exercises - Preparation for innovation space
Module 1 - Session 5: Access to the database, data model and key features - Practical guidance
Module 1 - Session 6: Data classification, data retrieval, practical exercise and coding hands-on
Module 1 - Session 7: Implementation of Demand Oriented Labour Market Analysis Instruments and the National Forum on Future of Work in Egypt
Module 1 - Session 9: Use of Big Data for different analyses of occupational and skills dynamics in the labour market
Module 1 - Session 10: Use of raw data from ETF databases- Procedures and technical aspects to create new dashboards
Module 2 - Session 1: Value of Big Data for LMI. Focus on OJV
Module 2 - Session 2: Landscaping, ranking and monitoring of OJV sources
Module 2 - Session 3: The European classification of Skills, Competences, and Occupations (ESCO)
Module 2 - Session 4: The role of AI – Machine learning in the data system, classification, analysis
Module 2 - Session 5: New angles of analysis based on OJV databases
Module 2 - Session 6: Role of ESCO and O_Net classifications in OJVs analysis
Module 2 - Session 7: The Semantic Web, linked data, knowledge graphs
Module 2 - Session 8: OJV and labour market statistics key elements for a methodological approach
Module 2 - Session 9: Supply side analysis, data sources, analytical framework issues perspectives