Banda Aceh – The academic and economic community in Banda Aceh had a special honor with the presence of Prof. Fabrizio Ruggeri, a leading expert in the field of big data and economics. Prof. Ruggeri was the keynote speaker at the Statistic Explore 2025 event, organized by the Faculty of Mathematics and Natural Sciences (FMIPA) at Syiah Kuala University (USK), held in the FMIPA USK Auditorium.
In a packed and inspiring session, Prof. Ruggeri presented his talk titled “ECONOMIC STABILITY THROUGH THE POWER OF BIG DATA: INNOVATIVE STRATEGIES FOR BUILDING A RESILIENT AND SUSTAINABLE ECONOMY”. He emphasized how the use of large-scale data—or big data—is not just a technological trend but a crucial instrument for building a strong and sustainable economic foundation.
Prof. Ruggeri highlighted various case studies and practical examples of how big data analysis can be used to predict market fluctuations, identify financial risks, and formulate more accurate economic policies. “With big data, we can see patterns that are invisible using traditional methods,” he said. “This allows policymakers and business players to react more quickly and proactively to economic challenges.”
The event was attended by hundreds of participants, including students, lecturers, and practitioners in the fields of statistics, economics, and technology. The participants’ enthusiasm was evident during the interactive Q&A session, where many questions were asked about the practical implementation of big data in Indonesia.
The head of the Statistic Explore 2025 committee, in his speech, stated that the presence of Prof. Fabrizio Ruggeri was a rare opportunity for USK to broaden the academic community’s horizons regarding the latest developments in the world of data and its impact on global economic stability. The event is expected to motivate students to delve deeper into the fields of statistics and data science, which are increasingly relevant to the demands of the times.
The success of this event affirms FMIPA USK’s commitment to continuing as a relevant and adaptive learning center, connecting classroom theory with the practical applications needed by the workforce and society.
This program also supports the United Nations Sustainable Development Goals (SDGs), particularly:
- SDG 4 – Quality Education: Promoting access to advanced knowledge and skills in statistics and data science.
- SDG 8 – Decent Work and Economic Growth: Encouraging innovation and analytical thinking to strengthen economic resilience.
- SDG 9 – Industry, Innovation, and Infrastructure: Advancing technological and data-driven approaches for sustainable industrial and economic development.
- SDG 17 – Partnerships for the Goals: Strengthening academic and professional collaboration through international knowledge exchange.
