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.