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AIML4OS

One-stop-shop for Artificial Intelligence and Machine Learning for Official Statistics (AIML4OS)

AIML4OS Implementation

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.

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  1. WP7_landcover WP7_landcover Public

    Land cover classification at regional level (NUTS2) using CoSIA deep learning model on high resolution aerial images

    Python 3

  2. WP10 WP10 Public

    The work package 10 "From text to code - Experiences and potential of the use of AI/ML for classifying and coding" aims at harnessing AI and machine learning technologies to map textual description…

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  3. AIML4OS-template-quarto-r AIML4OS-template-quarto-r Public template

    R 1 1

  4. WP9S1DE_t20 WP9S1DE_t20 Public

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  5. WP7 WP7 Public

    Repository for AIML_CropMapper python codes.

    C++ 1 1

  6. training-material-starting-pack training-material-starting-pack Public

    Lua 1

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