The JVI hosted the Big Data for Macroeconomic Statistics Workshop from October 27–31, 2025, in collaboration with the IMF’s Big Data Center and the Innovation Unit of the IMF’s Statistics Department. The course brought together 28 officials from 18 countries, representing central banks and national statistical offices across the JVI region.
Over five days, participants worked on cloud-based Python notebooks that applied big data and non-traditional datasets—such as satellite imagery, ship-tracking signals, and online text data—to GDP nowcasting, trade monitoring, and text analytics using natural language processing. The workshop went beyond lectures—introducing design-thinking exercises, interactive group challenges, and a Capstone Project where teams developed prototypes to tackle real-world macroeconomic problems.
Engagement was a priority. Energizers, daily recaps, and collaborative problem-solving kept the sessions lively. Participants worked on challenges spanning energy, trade, migration, and climate resilience, and shared country experiences to enrich discussions.
Feedback was overwhelmingly positive. Attendees appreciated the hands-on and engaging approach and the shift from theory to operational solutions. One participant noted that the workshop provided “a full blueprint for practical implementation,” enabling institutions to move from manual scripts to cloud-based, reproducible pipelines—a critical step for credibility and modernization.
This initiative reflects JVI’s commitment to equipping policymakers and statisticians with the skills needed to harness Big Data for better decision-making.
Alberto Sanchez Rodelgo, Data Scientist, IMF
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