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The President of the General Authority for Statistics (GASTAT), Fahad Aldossari, participated in a panel discussion on “Statistics and Decision-Making: Leading Transformation for Sustainable Impact in the Era of Data", organized by King Saud University, represented by the College of Science. The session was held as part of efforts to enhance awareness of the importance of statistical data and its role in supporting sustainable development. The event was attended by the Dean of the College of Science, Dr. Zeid Alothman, along with several faculty members from the departments of Statistics and Operations Research, Mathematics, Quantitative Analysis, and Economics, as well as a group of specialists and experts in data and statistics.
During the session, Aldossari emphasized that GASTAT places great importance on building national capacities and empowering specialized expertise, given the importance of human capital in developing statistical work. He highlighted GASTAT’s efforts to promote statistical knowledge, disseminate data culture and indicators, and support decision-makers with accurate and reliable statistics. He also noted that GASTAT continues its statistical transformation journey by adopting digital technologies and artificial intelligence and by leveraging big data and administrative records, which contribute to enhancing the quality of statistical products and accelerating their production to meet the requirements of the data era.
He further noted GASTAT’s commitment to empowering youth and equipping them with future skills in statistics and data science, thereby enhancing their readiness to contribute to building a knowledge-based economy and achieving the objectives of Saudi Vision 2030.
It is worth noting that this participation comes as an extension of GASTAT’s ongoing efforts to strengthen its knowledge and community presence and to expand its partnerships with universities and academic institutions in a way that supports scientific research and contributes to preparing national talents capable of supporting the national development journey.

Fahad Aldossari, President of GASTAT, honored the winning teams in the Data Innovation Hackathon, along with partners and supporters represented by the Saudi Data and AI Authority (SDAIA), the Saudi Society for Artificial Intelligence and Intelligent Systems, the Professional Association for Statisticians and Data Scientists, and the Saudi Association for Statistical Sciences. The recognition took place during a ceremony held today at GASTAT’s headquarters in Riyadh.
The ceremony featured the announcement of the winning teams in the Hackathon, which GASTAT organized from 15 February to 15 April 2026. The Hackathon represents the first of its kind in leveraging innovation and modern technologies to advance statistical work. It was held as part of the “Road to Riyadh” series of events, in preparation for Saudi Arabia’s hosting of the Sixth United Nations World Data Forum in November 2026.
Aldossari emphasized that the Data Innovation Hackathon reflects GASTAT’s commitment to adopting modern technologies and leveraging artificial intelligence capabilities to advance statistical work. He noted that the solutions presented by participating teams demonstrate the high caliber of national talent and their ability to develop innovative solutions with sustainable impact. He added that GASTAT will continue to support qualitative initiatives that contribute to building an advanced data ecosystem and enhance Saudi Arabia’s position in the fields of statistics and innovation, in alignment with the objectives of Saudi Vision 2030.
The ceremony also featured a showcase of the winning projects, highlighting the most prominent innovative solutions that contribute to enhancing data collection and analysis processes and improving their efficiency, thereby supporting decision-makers with accurate and reliable indicators.
GASTAT explained that the Hackathon featured two main tracks, in which 132 teams competed, with 16 teams advancing to the final stage—eight teams in the Innovative Data Collection track using non-traditional data sources and eight teams in the Intelligent Processing and Classification track using artificial intelligence technologies.
The total value of the Hackathon prizes amounted to SAR 75,000, allocated to support and recognize the winning teams and to encourage the development of innovative solutions in the fields of data and statistics.
The judging process resulted in the selection of six teams that successfully presented innovative solutions that enhance the quality and reliability of official statistics. The winning teams were as follows: Hoarders, Athr, Ain, GigScope, Spondylus, and Optimizers.
It is noteworthy that the Data Innovation Hackathon represents an extension of GASTAT’s ongoing efforts to expand the use of modern technologies and to empower national talent—including students, academics, and professionals—to contribute to developing practical solutions to statistical challenges. This, in turn, enhances the data-driven economy and supports statistical work and its outputs, including results, reports, and indicators.
 

The General Authority for Statistics (GASTAT) in Saudi Arabia participated in the extraordinary coordinating meeting of the heads of national statistical offices of the Gulf Cooperation Council (GCC) countries. The meeting was held virtually, with the participation of the heads of statistical offices of the member countries, along with the Director General of the GCC Statistical Centre.
This meeting was convened to enhance statistical coordination and integration among the GCC countries, thereby supporting decision-makers with accurate, reliable, and up-to-date data and indicators that reflect economic performance and keep pace with rapidly evolving global changes.
The president of GASTAT, Fahad Aldossari, emphasized the continued efforts to develop the statistical ecosystem and enhance its readiness by improving the quality of official statistics, strengthening the efficiency of statistical analysis, and expanding the use of administrative records to support national indicators.
The meeting also discussed several priority topics, most notably economic indicators such as price indices, industrial production, foreign trade, and gross domestic product (GDP).
The meeting concluded with an emphasis on the importance of continuing joint statistical work, strengthening data integration and exchange, and developing coordination mechanisms and knowledge sharing to support effective responses to global changes and contribute to stability and sustainable growth.
 

The General Authority for Statistics (GASTAT) announced the winning teams of the Data Innovation Hackathon, organized from February 15 to April 15, 2026. The hackathon is the first of its kind in leveraging innovation and technology to advance statistical work, as part of “Road to Riyadh” series of events in preparation for Saudi Arabia’s hosting of the 6th UNWDF in November 2026.
In addition, GASTAT revealed that the hackathon comprised two main tracks, in which 132 teams competed. A total of 16 teams qualified for the final stage, with eight teams in the “Innovative Data Collection” track focusing on the use of non-traditional sources and eight teams in the “Intelligent Processing and Classification” track, leveraging artificial intelligence technologies. The final judging phase resulted in the selection of six winning teams that presented innovative solutions aimed at enhancing the quality of official statistics and enhancing their reliability.
In the same context, GASTAT will hold the closing ceremony on Monday, April 20, at its headquarters, where the detailed results of the hackathon will be announced. The event will showcase the winning projects and highlight the most prominent innovative solutions presented, in addition to honoring the winning teams in recognition of their efforts and contributions to advancing statistical work and enhancing data quality.
It is noteworthy that the Data Innovation Hackathon reflects GASTAT’s commitment to expanding the use of modern technologies and enhancing the role of artificial intelligence in developing statistical processes, in line with the objectives of Saudi Vision 2030, which aims to build a knowledge-based economy driven by data. It also highlights the progress of the statistical sector in Saudi Arabia and strengthens its position as a leading regional hub in data and innovation while enabling national and international talent, including students, academics, and professionals to participate in developing practical solutions to statistical challenges.