Conference topics

Official Statistics: Enhancing Trust, Shaping the Future

Welcome to the European Conference on Quality in Official Statistics — also known as the Q-Conference — which brings together statisticians, academics and external stakeholders to foster the dissemination of knowledge and research on emerging issues related to quality in official statistics.

The 12th edition of the Q-Conference, Q2026, will highlight the role of official statistics in addressing emerging challenges and opportunities.
Guided by the slogan “Official Statistics: Enhancing Trust, Shaping the Future”, it will serve as a platform for dialogue, collaboration, and innovation.

1. INSTITUTIONAL FRAMEWORK FOR QUALITY MANAGEMENT IN OFFICIAL STATISTICS
  1. Coordination and cooperation within the national statistical system: challenges and opportunities
  2. Implementation of the amended Regulation 223/2009 on European Statistics from the perspective of quality frameworks
  3. How quality frameworks can support new roles of the national statistical institute related to data stewardship
  4. Fostering a quality culture in the institution as a whole
  5. Statistical confidentiality and data protection – how to protect data while realising their full potential
  6. Human resources in a changing environment, ensuring the right skills for statistical offices
  7. 20 years of European Statistics Code of Practice – lessons learnt and outlook for the future
  8. Peer review recommendations and ensuing improvements to assure quality
2. NEW TRENDS AND CHALLENGES FOR QUALITY IN OFFICIAL STATISTICS
  1. New sources, methods, and technologies in statistical processes – how to support the transition through quality management
  2. Innovating methodological and quality assurance frameworks
  3. Use of machine learning and AI in the ESS and beyond – challenges for the quality assurance
  4. Access to and use of administrative data sources for high quality official statistics
  5. Partnerships with private and administrative data holders – how to assure the quality of data
  6. Statistics under development – how to meet quality standards of official statistics
  7. Data integration – challenges and opportunities for the NSI’s quality assurance process
  8. Reduction of reporting burden and improvement of cost-effectiveness of statistics production, while maintaining quality
3. QUALITY AS A BASIS FOR CREATING AND MAINTAINING TRUST OF USERS
  1. Keeping official statistics relevant in the rapidly changing data landscape
  2. Trade-off between timeliness and accuracy from the perspective of data users and producers
  3. Explaining the quality via statistical education and literacy
  4. Measuring and communicating quality of official statistics (quality and metadata reporting)
  5. The scientific community’s role in producing quality statistics
  6. Use of AI for official statistics – navigating opportunities and risks for quality
  7. Enhancing user engagement, communication and user-centric dissemination – social media and official statistics
  8. Data management, data ethics and combating misinformation

DZS
Eurostat
Co-funded

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