Ibrahim bin Yusuf Al-Balushi, a student at the College of Economics and Political Science, has won first place in the second edition of the “Renewed Publications: with a Unified Gulf Vision” competition, organised by the Statistical Centre for the Cooperation Council for the Arab Countries of the Gulf (GCC-Stat).

The competition aimed to reintroduce one of GCC-Stat’s published economic reports in a modern format tailored to different audience groups, thereby enhancing awareness of official statistics and supporting informed decision-making. Participants were required to select an economic publication available on the Centre’s website, reinterpret its content, and present it through two distinct tracks. The first targeted the general public through simplified language and an interactive data story, while the second was designed for decision-makers through an executive summary and a data story aligned with their information needs.

Al-Balushi explained that the experience went beyond simply summarising content. It involved analysing data, identifying key indicators, and transforming them into clear and compelling messages through data storytelling techniques, while maintaining scientific accuracy and accessibility. He noted that the competition enabled him to strengthen his skills in data analysis, visual communication, and audience-focused content development, while also deepening his understanding of the role of official statistics in supporting public policy and decision-making.

Reflecting on the achievement, Al-Balushi said: “I am extremely proud of this accomplishment, not only because it represents first place at the GCC level, but also because it highlights the importance of investing in data analysis and communication skills. It demonstrates the ability of SQU students to compete and excel on both regional and international stages.”

This competition is one of the initiatives organised by GCC-Stat to empower university students to reinterpret statistical and economic publications through innovative approaches that simplify data and enhance statistical literacy. It requires participants to produce two versions of their work: one aimed at the general public and the other at decision-makers, using modern data storytelling methods that combine statistical accuracy with clear and effective communication.