en

18 November 2019 - 29 November 2019

Labour Market Statistics and Analysis Academy

18 November 2019 - 29 November 2019

Labour Market Statistics and Analysis Academy

Labour Market Statistics and Analysis Academy

Course Information

18 November 2019 - 29 November 2019

English

Turin Centre

Code: A9012101

English

Enrolment deadline: 11 October 2019

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Description

Description

The Academy is being offered to meet the current and future needs of countries to strengthen their labour market statistics and analysis systems in the wake of new international statistical standards and groundbreaking developments in the world of statistics. The Academy will help countries enhance institutional capacity to identify, collect, analyse and disseminate labour market information and other indicators related to decent work, including the SDG indicators. It will emphasize new standards set by the International Conference of Labour Statistics, particularly in the 20th ICLS, which took place in 2018. The Academy will also highlight the relevance of statistics in responding to the different dimensions of the Future of Work, including the rise of non-standard forms of employment.

Target audience

Target audience

The Acadmey targets officials of statistics offices; producers of statistics at national statistical offices; ministries of planning, employment, education and labour; research institutes; social partners; and international organizations and development banks.

Objectives

Objectives

The main objective of the Academy is to better equip and situate national and international stakeholders in the new SDG statistical monitoring system. The Academy is designed to enhance institutional capacity to identify, collect, analyze and disseminate labour market information and other indicators related to decent work. Moreover, the academy emphasizes the 20th ICLS resolution on statistics of work relationships as an important pillar to measure progress towards the 2030 agenda, particularly Goal 8 on promoting inclusive and sustainable growth, employment and decent work for all.

More specifically, the Academy aims to:

  • Foster better understanding and operationalization of key international statistical standards including the 20th ICLS resolution on statistics on work relationships and the 19th ICLS resolution on work statistics;
  • Enhance understanding of the SDG indicator framework;
  • Expand knowledge on the measurement of decent work in the SDG Global Indicator Framework;
  • Promote gender mainstreaming in the production of labour statistics and in the definition of the relevant SDG indicators;
  • Promote sound statistical data processing and analysis of indicators by demonstrating good practices in labour market information systems and SDG monitoring strategies

Content

Content

The academy will be organized under two main Learning Paths that provide integrated yet differentiated learning contents. Each Learning Path has a unique objective with contents that cater to specific audiences:

Learning-Path 1: Targeting officials involved, or are poised to be involved, in SDG statistical monitoring and reporting at the local, national or international level, and labour market and development analysts. It aims to develop/enhance analytical capacity in the identification, construction, interpretation and use of key labour market and decent work indicators along with SDG indicators. This Learning Path will focus on data preparation, micro data management, and the use of statistical software ensuring alignment with international standards, metadata and data quality. 

Learning-Path 2: Targeting practitioners of labour statistics, both managers and technical staff from national statistical offices, ministries of labour and related institutions (like labour observatories). It focuses on the main elements of designing and implementing labour force surveys or related household surveys as main source of labour indicators. It will pay attention to ensuring coherence with ICLS standards on key work and labour market topics, many closely related to SDG indicators. It will emphasise on survey planning and operations, concepts and methods, questionnaire and sample design, data processing and metadata management, to finalise reporting and dissemination, including special software to construct labour market and decent work indicators. The Academy will contain several plenary sessions where key concepts and best practices relevant to both learning paths will be discussed.

In addition, some elective sessions will be offered in each of the Learning Paths allowing a differentiated learning opportunity for participants.

Format and Methodology

Format and Methodology

The training methodology for this course is designed to ensure a ‘learning-by-doing’ process that encourages the sharing of knowledge, experiences and best practices among participants. It will combine lectures by experts and practitioners with participatory individual exercises and group work. 

The academy is constructed as follows:

  • Plenary sessions
    • To share knowledge that is relevant across learning paths
  • Sessions specific to each learning path
    • To allow more intensive learning on key topics within a learning path
  • Panel discussions and group work

 The academy’s learning approach is structured around three main pillars:

  • Methodology
    • Interactive
    • Hands-on, wherever possible
    • Structured to combine
      • Expert presentations
      • Group discussions and exercises
      • Group work
      • Country Expo and Ideas Market
      • Harnessing digital learning technology
        • E-campus
        • Tablets
        • Pedagogical applications

Language requirements

Language requirements

The Academy will be conducted in English.

How to apply

How to apply

Early application is strongly recommended since admission is competitive and space is limited!

Interested candidates should register on-line through this link: https://oarf2.itcilo.org/STF/A9012101/en.

Selection will be based on the following criteria:

  • Proven work experience in relevant field (e.g., data collection, processing, analyzing and interpretation; statistical reporting; labour force survey design);
  • Submission of a letter of sponsorship to cover the course cost including the cost of travel to and from Turin; and
  • Submission of a cover letter explaining how the course will help the participant enhance their professional skills and how they will use these skills in their respective organizations.

- Kindly note that we need to receive the above-mentioned three documents in order to register you for the Academy; the application form alone is not enough.

- We highly encourage the participation of women and persons with disability.

The deadline for applications is 11 October 2019!

Price

- The Academy is fee-paying. The total cost is euro 3735 and it is composed of the following:

  • Tuition: 2,335
  • Subsistence: 1,400
  • Total: €3,735

- The tuition cost of 2,335 covers the cost of programme development and management, secretarial and administrative support costs, the use of training facilities and teaching equipment, office supplies and training materials. Also included is emergency medical insurance.

- The participant’s accommodation and subsistence cost of 1,400 covers lodging and subsistence at the ITCILO campus.

- A limited number of partial fellowships will be available. Fellowships will be allocated on a case-by-case basis. Priority in scholarship allocation will be given to candidates who strongly fulfil the selection criteria above-mentioned.

 

Tuition cost: 2335

Subsistence cost: 1400

Total cost: 3735

 

International Training Centre of the ILO

Viale Maestri del Lavoro, 10
10127 Turin - Italy

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