International Experts Discuss the Role of Data in Developing Statistics and Supporting Policymaking 

1/30/2025

The Federal Competitiveness and Statistics Centre (FCSC), in partnership with the United Nations' "Data Science Leaders Network," organized an international seminar titled "Harnessing Data Science Mechanisms towards Economic Statistics Development" in Dubai. The event was attended by officials from the United Nations, as well as experts and specialists in big data from Equatorial Guinea, Georgia, Malawi, Mozambique, Peru, Rwanda, and other countries.

The international seminar highlighted the vital role of data and statistics in guiding effective policies and decision-making. It discussed key practices related to the use of big data and artificial intelligence mechanisms that will support significant economic opportunities by providing accurate and highly reliable information. This aims to achieve future insights that contribute to improving wellbeing and promoting prosperity for the UAE and the world.

The seminar included inspirational sessions covering topics such as "The Global Charter for the Future and the Digital Transformation of Economic Statistics" and "The Journey of Artificial Intelligence in the UAE: From Data to Insights." It also discussed the pivotal role of big data in supporting national statistical systems across various countries.

Hanan Ahli: Effective partnerships are the first steps in activating the UAE's membership in the UN Statistical Commission

Her Excellency Hanan Mansour Ahli, Managing Director of the Federal Competitiveness and Statistics Centre, emphasized that the seminar is part of the centre's initiatives to translate the UAE government's directions for investing in the latest technology and data sciences. This aims to vitalize the national statistical system to achieve tangible progress in producing unified and high-quality data that positively impacts the national economy and enhances its competitiveness.

Ahli added that organizing the international seminar in partnership with UN committees represents the first steps towards activating the UAE's membership in the United Nations Statistical Commission for the period 2025-2028. It presents a distinct opportunity to enhance global statistical dialogue, working together towards innovative statistical solutions and integrating national and global efforts to make data-driven decisions, address global challenges, and support sustainable economic development.

Mohammed Hassan: A pioneering step towards exploring new horizons in the world of data

His Excellency Mohammed Hassan, Executive Director of the Statistics and Data Sciences Sector at FCSC, stated that hosting the United Nations' "Data Science Leaders Network" in the UAE represents a pioneering step towards exploring new horizons in the field of data and its alternative sources. This enhances the efficiency of statistical operations to produce accurate and comprehensive official data within the framework of the Unified UAE Numbers project, supporting decision-making, policy formulation, and strategic planning.

Stefan Schweinfest: A strategic platform encompassing shared visions for developing statistical methodologies

Stefan Schweinfest, Director of the UN Statistics Division, praised the efforts of the FCSC in hosting the international seminar " Harnessing Data Science Mechanisms towards Economic Statistics Development." He stated, "This seminar is not just a gathering of experts and specialists but a strategic platform encompassing shared global visions." It supports the agenda of upcoming meetings of the United Nations Statistical Commission in New York, focusing on developing statistical methodologies related to digital economy and economic statistics, highlighting their importance in the prosperity of societies and improving individuals’ wellbeing.

It's worth noting that the Data Science Leaders Network was established under the management of the United Nations Expert Group on Big Data and Data Science for Official Statistics (UN-CEBD) to enhance continuous statistical efforts and develop guidelines for integrating AI mechanisms and data science within national and international statistical offices. This supports strengthening statistical systems, improving their efficiency, and ensuring the production of accurate and high-quality data and statistics.