| Title | Theme | Statistics Area | Country/Organisation | Reports | ML methods | Data Source | Data Type | Programming Language | Code Availability |
|---|---|---|---|---|---|---|---|---|---|
| Address Register Automated Image Recognition (AIR) model | Imagery Analysis | Australia | To be uploaded | ||||||
| Learning statistical information from images: a proof of concept | Imagery Analysis | Netherlands | To be uploaded | ?? - Gitlab link (Joep: not public, yet? ) | |||||
| Arealstatistik Deep Learning (ADELE) | Imagery Analysis | Switzerland | To be uploaded |
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| Use of Landsat satellite data for the mapping of urban areas in non-census years | Imagery Analysis | Mexico | To be uploaded |
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| Generic Pipeline for Production of Official Statistics Using Satellite Data and Machine Learning | Imagery Analysis | Not applicable | UNECE | To be uploaded | Not applicable | Not applicable | Not applicable | Not applicable | |
| Imputation of the variable “Attained Level of Education” in Base Register of Individuals | Edit & Imputation | Education statistics | Italy | To be uploaded |
| Administrative data, Survey data, Census data | Multivariate data | Python | Github link |
| Imputation in the sample survey on participation of Polish residents in trips | Edit & Imputation | Tourism statistics | Poland | To be uploaded |
| Survey data | Multivariate data | R | Local, not public |
| Machine learning methods for imputation | Edit & Imputation | ? | Germany | To be uploaded |
| Survey data | Multivariate data | R | Not available |
| Early estimates of energy balance statistics using machine learning | Edit & Imputation | Energy statistics, Economic and Financial statistics, Weather statistics | Belgium VITO | To be uploaded |
| ? | Multivariate data | Python | Github link |
| Edit & Imputation | UK | To be uploaded | |||||||
| Editing in the Italian Register of the Public Administration | Edit & Imputation | Economic and Financial statistics | Italy | To be uploaded |
| Administrative data | Multivariate data | R | |
| Occupation and Economic activity coding using natural language processing | Coding & Classification | Demographic and Social statistics, Economic and Financial statistics, Labor statistics | Mexico | To be uploaded |
| Survey data | Text data, Multivariate data | Python | |
| Industry and Occupation Coding | Coding & Classification | Labor statistics, Business Statistics | Canada | To be uploaded | Survey data | Text data | Python | Github link | |
| Sentiment Analysis of twitter data | Coding & Classification | Life statistics | Belgium Flanders | To be uploaded |
| Social Media data | Text data | Python | Github link |
| Coding & Classification | Serbia | To be uploaded | Not available | ||||||
| Coding Workplace Injury and Illness | Coding & Classification | Labor Statistics | USA | To be uploaded | Survey data | Text data | Python | Github link | |
| Product Description to ECOICOP | Coding & Classification | ? | Poland | To be uploaded |
| Web Scraping data | Text data | Python | (to check with Marta and Krystyna) |
| Coding & Classification | Australia | To be uploaded | |||||||
| Automated Coding of IMF's Catalog of Time Series | Coding & Classification | IMF | To be uploaded | ||||||
| Coding & Classification | Iceland | To be uploaded | |||||||
Standard Industrial Code Classification by Using Machine Learning | Coding & Classification | Business Registration Statistics? | Norway | To be uploaded |
| Business Registration data? | Text data |