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The feasibility of using big data in anticipating and matching skills needs

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Document
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The feasibility of using big data in anticipating and matching skills needs
Language:

English

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english
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skpEng
Sources:

ILO

The International Labour Organization is the tripartite U.N. agency that promotes Decent Work through employment, social security, labour standards and social dialogue. Its work on skills development is guided by the conceptual framework on Skills to improve productivity, employment growth, and development agreed in 2008 by representatives of Governments, Employers’ Associations and Workers’ Associations. Research, policy advice, and pilot projects and technical cooperation programmes to apply good practices in different circumstances across its 185 member States aims to boost the employability of workers, the productivity and competitiveness of enterprises, and the inclusiveness of economic growth. The ILO Secretariat in offices in 40 countries works with Ministries of Labour, employers’ organizations, and trade unions to integrate skills development into national and sector development strategies in order to better meet current labour market needs and to prepare for the jobs of the future; to expand access to employment-related training so that youth, persons with disabilities and other vulnerable groups are better able to acquire skills and secure productive and decent work; and to improve the ability of public employment services to provide career guidance, maintain labour exchange services, and deliver active labour market programmes.For more information regarding the ILO’s work on skills and employability go to: http://www.ilo.org/skills/lang--en/index.htm; for ILO/Cinterfor's Knowledge Management Plarform, see: http://www.oitcinterfor.org

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skpILO
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ilo
Topics:

Anticipating and matching skills needs

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Anticipating and building skills for the future is essential to a rapidly changing labour market. This applies to changes in the types and levels of skills needed as well as in occupational and technical areas. Effective methods to anticipate future skills needs and avoid potential mismatches include: sustained dialogue between employers and trainers, coordination across government institutions, labour market information systems, employment services and performance reviews of training institutions. 

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skpAFSN
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anticipating-and-matching-skills-needs
Knowledge Products:

Research papers

Working papers, reports, and other publications from international organizations, academic institutions and bilateral agencies. Research findings to stimulate informed debate on skills, employment and productivity issues. 

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skpRPS
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research-papers
Publication Date:
01 Nov 2020
In dynamic and rapidly changing labour markets, the identification of skills needs is an important challenge. Imbalances on the labour market, reflected by difficulties faced by businesses in sourcing the skills they need, high incidences of skills mismatch, and significant unemployment or underemployment especially among youth, are common to most countries, independently of their level of economic development. In order to tackle these issues, policy-makers, employers, workers, providers of education and training and students all need timely and accurate information about demand for skills on the labour market and how it relates to skills supply.

This publication collects together the contributions presented during the ILO workshop “Can we use big data for skills anticipation and matching?”, which took place on 19–20 September 2019 at ILO headquarters in Geneva, Switzerland, and the discussions during the workshop considered the feasibility of using big data in the context of skills anticipation and matching, and both the potential and the limitations of big data in skills analysis.
Subject Tags:

Skills anticipation

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skills-anticipation
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677

Skills upgrading

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skills-upgrading
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657
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