| I. Institutional framework for quality management in official statistics |
| Modernisation of the ESS quality framework |
| Coordination and cooperation in the national statistical systems, legal aspects |
| Quality and risk management |
| Quality measurement, reporting and metadata |
| Human resources in the changing statistical environment |
| Innovation and quality culture in a statistical authority |
| Balancing cost and quality |
| II. Quality in official statistics and stakeholders |
| Quality as a multi-dimensional decision: accuracy versus timeliness |
| Increasing the relevance of official statistics |
| Use of geospatial information to increase quality |
| Communication with the scientific community – new methods and tools |
| Engaging with users, providing services and promoting the value of official statistics |
| Public relations of statistical authorities: building mutually beneficial relationships with the public |
| Data visualisation |
| Statistical education and literacy |
| Measuring and communicating quality of official statistics |
| Social media and official statistics |
| III. Quality in statistical production |
| Quality as a priority area in the ESS Vision 2020 |
| Quality aspects of environmental statistics, demography statistics and migration statistics |
| Quality in innovation and research and development statistics |
| Quality of indicators for measuring global economy |
| Quality in a multi-source statistical production |
| Global/ESS standards and standardisation processes |
| Imputation, estimation, reweighting and calibration as methods to improve quality |
| Statistical disclosure control |
| Micro-data exchange |
| Flash estimates |
| Data integration |
| Deteriorating response rates – issues and solutions |
| Innovation in data collection and dissemination |
| Quality aspects in experimental statistics and in “smart” statistics |