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As it progressed, the Machine Learning project was informed about other developments of ML to produce official statistics. In particular, during a series of virtual sessions held in October 2020, several speakers were invited to provide an introduction on ML developments conducted in their statistical organisations, It is important to note that they were not carried out within the ML project. The presentations are shared to further highlight the interest in advancing the use of ML.

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Advanced Tables - Table Plus

Main statistical process	Development	Data source
Edit and Imputation	Australia - Repairing Big Data sets using KNN	Combination of sources
Edit and Imputation	Australia - Census Occupancy Imputation for Census 2021	Census
Edit and Imputation	Canada - Investigating the use of ML methods in Banff and G-Sam.pdf	All sources
Edit and Imputation	Switzerland - Data validation with machine learning - Plausi++ (document)	Administrative
Edit and Imputation	Switzerland - Improving Data Validation using Machine Learning (presentation)
Estimation and Analysis	Austria - LEARN4SDGis–A BigSurv20 - LEARN4SDGis – A machine learning based poverty mapping exercise in Austria BigSurv20 - Big Data meets Survey Science BigSurv20 - Big Data meets Survey Science
Estimation and Analysis	Canada - Deploying Machine Learning Techniques for Crop Yield Prediction	Combination of sources
Estimation and Analysis	Germany - Using administrative data and machine learning to address nonresponse bias in establishment surveys BigSurv20 - Big Data meets Survey Science	Administrative
Estimation and Analysis	OECD - Nowcasting Services Trade	Aggregates
Estimation and Analysis	Switzerland - ML_SoSi: Individual trajectories in the social security system	Combination of sources
Question design	Improving SHARE translation verification BigSurv20 - Big Data meets Survey Science	Survey
Question design	USA - Automated double-barreled question classification using machine learning BigSurv20 - Big Data meets Survey Science	Survey
Question design	USA - Using generative adversarial active learning to identify poor closed-ended survey responses BigSurv20 - Big Data meets Survey Science	Survey
Record linkage or matching	Canada - Machine Learning for Record Linkage at Statistics Canada	All sources
Record linkage or matching	USA - A novel approach to combine survey and bibliometric data for science policy research	Survey and register
Record linkage or matching	USA BLS - Matching fatal injury records with supervised machine learning	Survey and administrative
Text classification	Belgium Flanders - A better statistic on innovative companies in Flanders using web scraping and machine learning	Web scraped
Text classification	Canada - Automation of Information Extraction from Financial Statements using Graph-Based Techniques	Paper documents
Text classification	European Central Bank - Estimating the institutional sectors of legal entities on a large scale European Central Bank - A supervised learning approach	Register/Administrative
Text classification	France - Coding occupations and coding products: two NLP applications for Official Statistics	Scanner and census
Text classification	Germany - Using supervised classification for categorizing answers to an open-ended question on panel participation motivation BigSurv20 - Big Data meets Survey Science	Write-in responses
Text classification	Israel - Development of ML model for coding of economic activities and occupations in household surveys	Survey and census
Text classification	Netherlands - Detecting innovative companies via the text on their website BigSurv20 - Video
Text classification	Netherlands - Evaluating and improving a text classifier for subpopulations: the case of cyber crime BigSurv20 - Presentation
Text classification	Netherlands - Prediction of author’s educational background using text mining BigSurv20 - Video
Text classification	OECD - 2020-10 Presentation_OCDE_SDG_FinLab_UNECE_Oct13.pdf	Administrative and metadata
Text classification	Switzerland - Automation of General Classification of Economic Activities coding - NOGAuto	All sources
Text classification	Turkey - Application of data mining methods using demographic survey data: Analyses of attitudes towards gender roles and domestic violence in Turkey	Survey
Text classification	UK - Automated classification of web scraped clothing data in consumer price statistics	Web scraped
Text classification	USA - A framework for using machine learning to support qualitative data coding BigSurv20 - Big Data meets Survey Science	Write-in responses
Text classification	USA - Measuring the validity of open-ended questions: Application of unsupervised learning methods BigSurv20 - Big Data meets Survey Science	Write-in responses
Text classification	USA - Training deep learning models with active learning framework to classify “other (please specify)“ comments (from BigSurv20 - Big Data meets Survey Science - presentation and video)	Write-in responses
Text classification	USA - A text mining and machine learning platform to classify businesses into NAICS codes BigSurv20 - Video	Combination of sources
Text classification	USA USCB - Comparison of Machine Learning Algorithms to Build a Predictive Model for Classification of Survey Write-in Responses	Write-in responses
Text classification	USA USCB - Shared AI Services Hosting Application	Write-in responses

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