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30 October 2017 - 10 November 2017

Labour Market Statistics and Analysis Academy: Measuring decent work in the context of the SDGs

30 October 2017 - 10 November 2017

Labour Market Statistics and Analysis Academy: Measuring decent work in the context of the SDGs

Labour Market Statistics and Analysis Academy: Measuring decent work in the context of the SDGs

Course Information

30 October 2017 - 10 November 2017

English

Turin Centre

Code: A9010441

English

Deadline: 22 October 2017

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The ILO Department of Statistics and the ITCILO offer this Academy in response to the increasing need for countries to strengthen their labour-market and analysis systems in the wake of new international statistical standards and amid intense discussion of the post-2015 development agenda.

Description

Description

The ILO Department of Statistics and the ITCILO offer this Academy in response to the increasing need for countries to strengthen their labour-market and analysis systems in the wake of new international statistical standards and amid intense discussion of the post-2015 development agenda.

Target audience

Target audience

Officials of statistics offices; producers of statistics at national statistical offices; ministries of planning, finance, employment, education and labour; vocational trainers; research institutes; social partners.

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, analyse and disseminate labour market information and other indicators related to decent work. It emphasizes the 19th ICLS resolution on statistics of work, employment and labour underutilization as an important pillar of the new SDG indicator framework, not only for targets in Goal 8 but also in other Goals related to the decent work agenda. 

More specifically, the Academy aims to:

• enhance understanding of the new SDG indicator framework including the link to the international system defined by the UN for national and global monitoring;

• expand knowledge on how decent work related SDGs and targets could be monitored using existing international statistical standards; 

• foster better understanding and operationalization of key international statistical standards including the 19th ICLS resolution on statistics of work, employment and labour underutilization; 

• promote best practices in labour force surveys, including sample and questionnaire design;

• 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. 

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 at: http://intranetp.itcilo.org/STF/A9010441/en.

Selection will be based on the following criteria:

• Proven work experience in relevant field (e.g., labour force survey design; data collection, processing, analysing and interpretation; statistical reporting);

• Submission of a letter of sponsorship to cover the course cost including the cost of travel to and from Turin;

• 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.

The deadline for applications is 15 September 2017.

Tuition cost: 2275

Subsistence cost: 1350

Total cost: 3625

 

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