Conference Topics

The main objective of the 8th IWFC is to create space for presentation of current results of work in the field of wildland fire. The conference is also a space for creating collaborative links between professionals, academics, industry and public authorities aiming at long-term sharing of knowledge and discussions of highly current issues.

The topics of the 8th International Wildland Fire Conference include but are not limited to:

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.

This 11th edition of the Q-Conference, Q2024, will focus on the role of official statistics as a pillar for democracy, and on some of the most challenging issues faced by the official statistics community in a volatile environment. These issues include the trust of users, science and research, and innovative methods for assuring quality and capacity building.

Motto: Official Statistics as a Pillar of Democracy

Conference topics

1. Institutional frameworks for quality in official statistics

1.1. Institutional frameworks for quality management in official statistics
1.2. Quality in official statistics and relations with external partners
1.3. Coordination within the NSS: challenges and opportunities
1.4. New roles for NSIs to strengthen the quality of official statistics (e.g. data stewardship)
1.5. Quality as a basis for building and maintaining trust in official statistics
1.6. Quality management systems and frameworks, and risk management approaches
1.7. Statistical confidentiality and data protection as infrastructural elements of quality
1.8. Peer reviews in the European Statistical System (ESS) and beyond
1.9. Legal frameworks at the national and ESS levels and their impact on quality
1.10. The European Statistics Code of Practice and quality frameworks — are they fit for the future?

2. Innovation and research to foster quality in official statistics

2.1. The ESS Innovation Agenda: the quality perspective

2.2. New challenges for quality in statistical processes

2.3. Challenges in assessing and assuring the quality of new data sources (e.g. privately held data)

2.4. The role of NSIs in national data infrastructures as platforms to improve the quality of official statistics

2.5. The role of metadata in a data-ecosystem-driven innovative environment

2.6. Innovative approaches for getting quality data (accessing, linking, sharing)

2.7. Artificial intelligence in official statistics, and related ethical issues

2.8. Innovative methodologies to improve the quality of official statistics

2.9. Statistics under development — experimental statistics: opportunities, challenges, and success stories

2.10. Research in using multisource statistics: methods and results to foster quality in official statistics

3. The power of data – how to serve society

3.1. Teaching and learning statistics: how to engage with NSIs and other stakeholders

3.2. Engaging with users and data providers: NSIs’ and ONAs’ feedback to society

3.3. Communicating quality statistics to different audiences: meeting user needs

3.4. Engaging with academia and the research/scientific community

3.5. Innovative dissemination products in official statistics

3.6. Official statistics portals and how they contribute to the communication of quality issues

3.7. Statistical literacy: challenges and success stories

3.8. The responsiveness of NSOs in times of urgent user needs

3.9. The implementation of a data culture (e.g. new data ecosystem, reuse of data, data linking), and the ethics of data use

4. NSIs’ capabilities to harness opportunities in a challenging environment

4.1. Assuring quality in statistics in times of crises

4.2. The robustness of NSIs’ competences and how to build and maintain these

4.3. Partnerships for capability- and competence-building

4.4. Relations with academia in developing innovative methodologies for quality

4.5. Challenges in the management of human resources and their skills

4.6. Innovative approaches to statistics training in NSIs

4.7. The new roles of NSIs and the impact of these roles on capabilities (e.g. data science, artificial intelligence)

4.8. Statistical leadership