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Big data and the future of work

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Event
Start Date:
03 Feb 2022
End Date:
03 Feb 2022
Event Location:
Online
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Language:

English

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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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Experts from many international, regional and national agencies generously share their views, experiences and findings on skills, helping policy-makers among other stakeholders to understand the linkages between education, training and the world of work, and how to integrate skills into national development planning to promote employment and economic growth.

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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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anticipating-and-matching-skills-needs

Other topic

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Knowledge Products:

The Joint Research Centre of the European Commission, the Labour Market Information Council of Canada and the ILO are glad to invite you to a research webinar on “Big data and the future of work” organized as part of the EU funded project “Building partnerships on the future of work ”.

This project is being undertaken by the ILO and the Joint Research Centre of the European Commission and aims at developing new evidence around some specific and understudied Future of Work themes.

The objective of the webinar is to bring together experts from the three institutions and external experts to discuss the possibilities of using big data sources to analyze ongoing future of work trends in both developed and developing economies. It will be an opportunity to present recent research work based on different types of big data such as online job vacancies or CVs, geospatial data sources or mobile communication data and discuss their use for policy purposes.

To allow an in-depth discussion and participation of colleagues in other time zones, the meeting will take place on Thursday 3 February (15:00 hours – 18:00 hours Geneva time / 09:00 – 12:00 hours Ottawa time) via Zoom.

To participate in the workshop, please register here .

After registering, you will receive a confirmation email containing information about joining the meeting.

Subject Tags:

Data analysis

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data-analysis
Identifier
361

Data collecting

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data-collecting
Identifier
362

Skills anticipation

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skills-anticipation
Identifier
677
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