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 impoortant 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.
| Main statistical process | Development |
|---|---|
| Text classification | Belgium Flanders - A better statistic on innovative companies in Flanders using web scraping and machine learning |
| OECD - SDG Financing Lab (to be shared) | |
| Record linkage or matching | Canada - Machine Learning for Record Linkage at Statistics Canada |
| USA BLS - Matching fatal injury records with supervised machine learning | |
| Edit and Imputation | |
Australia - Census Occupancy Imputation for Census 2021 | |
| Estimation and Analysis | |
OECD - Nowcasting Services Trade | |
| Main statistical process | Development |
|---|---|
Text classification | |
OECD - SDG Financing Lab (to be shared) | |
Record linkage or matching | |