From data to decision

Overview:

This session reviews the role of data and statistics in supporting decision-making and transforming them into actionable knowledge, while exploring the integration among universities, statistical entities, and scientific and professional associations in developing products, research, and skills that enhance the effective use of data.

Key discussion points:

1.Maximizing the economic and social value of data.
2.Using official and research data to support decision-making and policies.
3.Developing data products and outputs that meet users’ needs. 
4.Role of universities and associations in transforming data into actionable knowledge.

Data governance and building trust

Overview:

This session discusses the requirements for building a reliable, secure, and sustainable data ecosystem, and the role of governance, ethics, and professional standards in enhancing data quality and trust, while reviewing the contribution of universities and associations in developing practices and standards and building effective partnerships.

Key discussion points:

1.Data quality, reliability, and transparency in its use. 
2.Ethics, privacy, and accountability in handling data.
3.Role of scientific and professional associations in developing standards and practices. 
4.Institutional partnerships to enhance trust and ensure the safe use of data.

The Role of Data and Statistics in Advancing Health and Preventive Decision-Makin

Overview:

This session highlights the critical role of health data and statistics in informing decision-making and advancing preventive healthcare. It explores how epidemiological, clinical, and population data can be transformed into actionable insights to identify health risks, anticipate emerging threats, and enable timely intervention. The session will also examine opportunities for strengthening collaboration among universities, health and statistical authorities, and scientific associations to develop robust analytical tools and predictive models. These collaborative efforts can enhance the health system’s preparedness, strengthen its proactive response to health risks and epidemics, and contribute to improving the quality and effectiveness of preventive healthcare services.

Key discussion points:

Harnessing health and epidemiological data to inform decision-makers and shape effective preventive health policies.
Strengthening data-driven surveillance and early warning systems to detect and contain the spread of diseases and epidemics.
Exploring the role of universities and research institutions in developing predictive models and data-driven solutions that advance public health.
Fostering collaboration among health, statistical, and academic institutions to establish an integrated, unified, and reliable health data ecosystem.