One-stop-shop for Artificial Intelligence and Machine Learning for Official Statistics Project (AIML4OS) is an ESSnet collaborative project involving 16 countries, started on 1 April 2024 and will last 4 years. The overall aim is to develop a ‘One Stop Shop’ for AI and ML in official statistics; that is, a platform which provides a single entry point for ESS staff to access a coherent set of capabilities for implementing AI/ML based solutions. This will provide them with tailored guidance and assistance in deploying AI/ML solutions within adequate methodological and implementation frameworks. The project is developed through 13 WPs, 6 supporting implementation and 7 dedicated to use cases. The knowledge and the framework realised and use cases experiences developed by the Consortium will allow them to use AI/ML to enable the development of more efficient and effective ways to deliver growing demand on official statistics.
AIML4OS
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WP7_landcover
WP7_landcover PublicLand cover classification at regional level (NUTS2) using CoSIA deep learning model on high resolution aerial images
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- WP10 Public
This repository contains the work and outputs of Work Package 10 – “From Text to Code” within the project “Artificial Intelligence for Official Statistics (AIML4OS)”.
AIML4OS/WP10’s past year of commit activity - AIML4OS-template-quarto-r Public template
AIML4OS/AIML4OS-template-quarto-r’s past year of commit activity - AIML4OS-template-quarto-python Public template
AIML4OS/AIML4OS-template-quarto-python’s past year of commit activity - WP9_S1_PL_TOURISM Public
Statistics Poland conducts a monthly-based census survey of accommodation establishments. Due to variety of booking systems, accommodation establishments report their data with different timeliness. In such case, early imputation can be used for flash estimates of statistics of accommodation establishments.
AIML4OS/WP9_S1_PL_TOURISM’s past year of commit activity - WP9S3AT_TA Public
AIML4OS/WP9S3AT_TA’s past year of commit activity
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