The impact of statistics on community development

Overview:

The session explores key statistical tools for measuring living conditions at both individual and community levels, such as health, environmental, and education indicators.  It also examines how these indicators can be utilized to inform public policy development and improve services. 

Key discussion points:

•   Enhancing awareness of the importance of statistics and their connection to  
•   everyday life and community development
•   Understanding the impact of statistical indicators and their evolution over time

Expected outcomes:

•   Encourage universities and associations to support innovation in developing statistical methodologies
•   Extract best international practices in creating indicators that support improved  
•   services and informed development decisions
•   Motivate universities to conduct applied research in social statistics

Innovative approaches to enhancing statistical data quality

Overview:

This session highlights the use of the latest techniques and methodologies to strengthen global statistical laws and support sustainable development.

Key discussion points:

• Reviewing the most recent methodologies applied by national and international institutions for measuring Sustainable Development Goals (SDG) indicators
• Discussing strategies to overcome data gaps using new technologies or alternative statistical methods
• Encouraging research collaboration between universities, statistical offices, and international organizations to develop innovative measurement tools 

Expected outcomes:

• Stimulate university research projects to develop new tools for measuring SDG indicators
• Enable students and researchers to understand the link between statistics and development policymaking
• Guide statistical associations in creating manuals and training tools for measuring SDGs using modern technologies
• Open opportunities for partnerships between universities and statistical offices to pilot field applications of SDG indicators

Ethics in statistical practice and safeguarding data privacy

Overview:

This session reviews and discusses ethics in statistical work, particularly in light of  
the recently approved Statistical Law by the Council of Ministers, which emphasizes the ethical charter for  statistical practice.

Key discussion points:

• Highlighting ethical challenges associated with the use of modern data
• Discussing data governance models and information security practices adopted by statistical institutions
• Showcasing successful practices in cybersecurity and privacy protection
• Promoting a culture of ethics within educational programs and statistical associations (in line with Article 19 of the Statistical Law)

Expected outcomes:

Encourage universities to integrate data ethics courses into academic programs
Promote academic research in privacy and data security using statistical models
Enable statistical associations to develop updated codes of conduct and professional standards for their members
Support training programs aimed at building ethically responsible digital statistical workforce

Practices of statistical offices in providing data to users

Overview:

In the era of open data and digital government, there is an increasing need for national statistical offices to provide open data platforms that enable access to information, ensure transparency, and support evidence-based policymaking.

Key discussion points:

• Discussing ways to provide statistical data in formats suitable for different users, including institutions and individuals
• Highlighting the importance of transparency and accountability in data publication
• Showcasing successful national and international initiatives in this field
• Strengthening collaboration between statistical offices, universities, and academic institutions to expand open data dissemination

Expected outcomes:

•  Enable researchers and students to access open statistical databases that support their research and analyses
•  Develop graduation projects and applied research that contribute to modern platforms for providing statistical data
• Enhance the role of statistical associations in raising awareness about open data sources and ways to utilize them effectively

Universities’ role in developing human capital for statistics

Overview:

This session explores how universities can align statistical program outputs with the evolving needs of statistical work,  ensuring adherence to international best practices.

Key discussion points:

• Emphasizing the need to update curricula to keep pace with digital advancements in statistical work
• Exploring ways to equip students with essential analytical and technical skills
• Presenting successful examples of university-statistical office partnerships in training and research
• Strengthening the link between academic knowledge and practical field applications

Expected outcomes:

• Encourage universities to offer specialized programs in statistical analysis, AI, and data science
• Foster strategic collaborations between universities and statistical offices for joint training and research initiatives
• Support statistical associations in developing professional programs and accredited certifications to prepare the next generation of statistical professionals