Without good data...| #DataFest2026 #KSEC2026 vox pop
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Behind every data system, there is a purpose and a person. At the Global Data Festival 2026 in Nairobi, we put two questions to the people in the room: what happens without good data, and who this ...
One word to describe #DataFest2026
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We asked participants at the Global Data Festival 2026 to describe the week in just one word. Diplomats, data scientists, statisticians, policymakers, humanitarians, and advocates from around the w...
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Making data ready for #AI starts with a question: can people understand what a number means, where it came from & how to use it?
@OECD Chief Statistician Steve MacFeely asks @Google's Prem Ram...
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... AI systems need data that is well sourced, auditable and reproducible, and why statistical organisations should start with machine-readable metadata.
The conversation also ex...
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Pathfinder Pakistan - Qadam Ba Qadam
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How do official statistics remain visible, trusted and understood in the #AI era?
In Episode 1 of our new podcast miniseries, #oecd Chief Statistician Steve MacFeely talks with Canada’s Chief Sta...
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...citizens, journalists and policymakers find facts. Instead of going directly to statistical databases, more users are turning to AI assistants and chatbots to retrieve, interpr...
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Did you know? Every data point tells a story. Health statistics help countries track progress, strengthen health systems, and save lives.
Here's what you need to know about the World Health Statis...
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Looking for stats on US immigration? We’ve got you covered.
Get up to speed with our guide to the Frequently Requested Statistics on Immigrants and Immigration.
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Visit our website: www.oecd.org/cfe
Follow us on Twitter: @OECD_local
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Learn how to review data element completeness when the expected number of reports are used as the denominator in the indicator calculation.
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Learn how to review data element completeness when the expected number of reports are used as the denominator in the indicator calculation.
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Learn how to compare values collected during data entry with a generated statistical threshold in both data visualizer and during validation rules analysis.
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...ew how validation rules can be used to compare internally collected values to a statistical threshold. This method of analysis allows for the identification of outliers.
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This video demonstrates how to compile RPPI using stratified mean or median indices and fixed-weight aggregation.
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The Asia-Pacific Stats Café Series on “Lessons learned from AI pilot initiatives: what worked, what didn’t work, and why” was held virtually on 30 March 2026 (13:00–14:30, UTC+7). This session brou...
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This video outlines best practices for disseminating RPPI results, including statistical releases, data accessibility, and documentation of compilation methods.
Lecture 17: Static Visualization II: Statistical Distributions with ggplot2
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Covers the advanced use of the Python and R visualization stacks to handle zero-inflation in climate data and generate distribution-based operational reports
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