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Presentations
- Presentation -- Grant Cameron -- Manager, Development Data Group, Development Economics, The World Bank
- Presentation -- François Fonteneau -- PARIS21
- Presentation -- Mitali Sen -- Chief, Technical Assistance and Capacity Building Branch, International Programs, Population Division, U.S. Census Bureau
- Presentation -- Phetsamone Sone -- Deputy Head of the Lao Statistics Bureau (LSB), Ministry of Planning and Investment
Data and statistics are a fundamental requirement for evidence-based decisions. They are central to tracking results, and critical to holding decision-makers accountable. The United Nations Independent Advisory Expert Group on the Data Revolution has argued that data are a powerful enabler of innovation for social impact. Governments, international agencies, civil society organizations, and the private sector cannot deliver on their respective mandates without data and statistics.
Demands on national systems are rising. As such, statistical producers need to become more agile. They must deepen their analytical capacities and find creative ways to integrate data from new and existing sources to generate their products and services. Given rising demands, government officials are increasing their reliance on assessments of their statistical system 's capacity.
In addition, the 2030 Agenda for Sustainable Development and the adoption of Sustainable Development Goals (SDGs) by the UN General Assembly in September 2015 significantly increased the demand for more data that puts additional requirements on national statistical systems. We need to adapt to the changing data landscape and its requirements. National systems must obtain, improve, and retain their capacity -- skills and knowledge -- to meet the ever-increasing demands for statistics. Producing data is not sufficient to demonstrate that the statistical system has the capacity.
Developmental partners have developed many instruments and tools to help assess a country 's statistical system. This panel will shine a light on the different approaches and tools that exist and their purposes in assessing statistical capacity of National Statistical Systems to obtain, improve, and retain their capacity to sustainably collect, analyze, and disseminate high-quality data.
The session fits in nicely with the first thematic area of the conference, New approaches to capacity development for better data. The panel 's discussion has a direct connection to the 2030 Agenda, and will provide options on how to apply key global initiatives in practice.
In collaboration with PARIS21, our panel will comprise 4-5 representatives from national statistical offices and international agencies (based on their availability).
Target audience: Statistical Capacity Development for better data is a topic that must be at the forefront of discussions among country officials, representatives of international development organizations, and national statistical offices, private sector participants, civil society organizations.
Main outcome from session: i. Enhanced awareness of the importance of statistical tools to measure statistical capacity ii. Initiate dialogue among stakeholders on planning and implementation (taking this forward)