Personal knowledge hub
AI for Official Statistics
Practical, source-grounded insights on AI tools, methods and governance for surveys, censuses, administrative data and agricultural statistics.
A personal knowledge hub by Dramane Bako on responsible AI, data science and official statistics.
Who this is for
Practical AI thinking for statistical work
For statistical offices
Responsible AI, quality assurance, governance, administrative data and dissemination.
For survey and census practitioners
AI-supported questionnaire design, field operations, editing, imputation, tabulation and quality control.
For data scientists
LLMs, machine learning pipelines, survey-aware modelling and reproducible workflows.
Topics
Browse the knowledge hub
AI for surveys and censuses
Questionnaires, field operations, processing and production workflows.
Administrative data
Quality control, linkage, classification and reuse of administrative sources.
Agricultural statistics and WCA 2030
Emerging AI use cases for agricultural census and survey systems.
AI governance and ethics
Responsible adoption, transparency, risk management and institutional readiness.
Data quality, editing and imputation
Methods for validation, anomaly detection, cleaning and missing data treatment.
Dissemination, chatbots and data access
AI-assisted publishing, user support and responsible data access.
Survey-aware machine learning
Models that respect weights, designs, sampling structure and population inference.
Tools and platforms
Practical tools, platforms and reproducible workflows for statistical teams.
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Useful entry points
Latest posts
Recent weekly monitor updates
IA et statistique : preuves, validation et responsabilité
Sept nouveautés sur les entretiens par IA, la validation, la prédiction tabulaire, les rapports et la diffusion multilingue.
AI for statistics: evidence, validation and accountable workflows
Seven recent developments in AI interviews, workflow validation, tabular prediction, reporting and multilingual dissemination.
Évaluation de l’IA et compatibilité des chaînes de données
Nouveautés récentes sur l’évaluation de l’IA, l’optimisation, la validation et la gouvernance des chaînes de production statistique.
AI evaluation and compatible data pipelines
Recent AI and data-engineering developments for evaluation, optimisation, validation and governed statistical production.
Qualité des données, traçabilité et incidents liés à l'IA
Nouveautés récentes sur l'IA et les outils de données pour la validation, la traçabilité, l'évaluation et la gestion des incidents en statistique officielle.
AI data quality, lineage and incident reporting
Recent AI and data tooling updates for quality validation, lineage, evaluation and incident reporting in official statistics.
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