ModernStats World Workshop, 11-13 April, 2018 in Geneva, Switzerland

Report of the workshop


Information Notice 1

Information Notice 2

About the Workshop

Under the auspice of the High-Level Group for the Modernisation of Official Statistics (HLG-MOS), several models have been developed to support modernising the production of official statistics. The Generic Activity Model for Statistical Organizations (GAMSO), Generic Statistical Business Process Model (GSBPM), Generic Statistical Information Model (GSIM), and Common Statistical Production Architecture (CSPA) are the cornerstones of the standards-based modernisation vision of the HLG-MOS. Collectively these are called the “ModernStats” models.

The ModernStats models are used by many organisations across the world. Some organisations use one of the models, some use more than one and others are just beginning to implement the ModernStats models in their organisations.

The purpose of the workshop is to create a better understanding of the use and benefits of ModernStats models individually and collectively and the relationships between them. The workshop aims to:

  • Promote the use of ModernStats models;
  • Increase the understanding of the interrelationships between the ModernStats models;
  • Facilitate the sharing of experiences, ideas and plans for modernising statistical production by implementing these models;
  • Identify opportunities for international collaboration activities.

The workshop is primarily intended for staff of statistical organisations who are responsible for developing, implementing and promoting standards-based modernisation of producing statistics. It includes those using or thinking about using models for the modernisation of statistical production.

Steering Committee
Alice Born and Jason BlackwellCanadaStatistics Canada
Franck CottonFranceInsee

Marina Signore and Carlo Vaccari


Juan Muñoz and Manuel CuellarMexicoINEGI
Rosemary McGrathNew ZealandStatistics New Zealand
Tomaž Speh and Julija KutinSloveniaStatistics Slovenia
Dan GillmanUnited StatesBureau of Labor Statistics
Marta Nagy-Rothengass

Inkyung, Therese and Taeke

  • No labels