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Help to provide better services for the public with AI + Machine Learning

Using artificial intelligence and machine learning techniques, we can support the work of employees in the cantonal administration and provide better services for the public. We view AI as one of many tools for digital transformation.

Team Data of the Statistical Office of the Canton of Zurich operates as a competence center for data science. Among other things, we work on AI pilot projects for the cantonal administration. The basis for our work is RRB 1331/2022 («... provides the other strategic initiatives with knowledge and skills relating to data and AI. ...»), action area E4 of the Strategic Initiative Data («Machine Learning Pilot Projects»), and the measures to achieve the legislative goals («Expand the competent and prudent use of artificial intelligence in administration and promote the exchange of knowledge in this area.»).

With our pilot projects, we aim to find out whether AI and machine learning can be a solution to certain problems. Together with our partners in the cantonal administration, we develop prototypes and proof of concepts and thus validate possible solutions. Here we describe more about how the canton deals and works with AI.

We share experiences, code, and data from our pilot projects here on GitHub as far as possible. We are very interested in feedback - please send them via email or open issues/PRs in the respective repositories.

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  1. simply-simplify-language simply-simplify-language Public

    Use machine learning to make your institutional communication more understandable and inclusive.

    Python 39 7

  2. zix_understandability-index zix_understandability-index Public

    Get a pragmatic assessment how understandable a German text is.

    Jupyter Notebook 6

  3. named-entity-recognition_staatsarchiv named-entity-recognition_staatsarchiv Public

    Projekt «Named Entity Recognition für die zentralen Serien des Staatsarchivs Kanton Zürich»

    Jupyter Notebook 9

  4. ogd_ai-metafairy ogd_ai-metafairy Public

    An app that helps you easily create high quality dataset descriptions – with a little help from AI.

    Python 7

  5. ogd_ai-analyzer ogd_ai-analyzer Public

    Automagically do a deep check of metadata quality of your DCAT OGD offering.

    HTML 5 1

  6. ogd_ai-search ogd_ai-search Public

    Semantic, lexical, multilingual search in your OGD metadata catalog.

    Jupyter Notebook 2

Repositories

Showing 7 of 7 repositories
  • zix_understandability-index Public

    Get a pragmatic assessment how understandable a German text is.

    machinelearningZH/zix_understandability-index’s past year of commit activity
    Jupyter Notebook 6 MIT 0 0 0 Updated Sep 12, 2024
  • simply-simplify-language Public

    Use machine learning to make your institutional communication more understandable and inclusive.

    machinelearningZH/simply-simplify-language’s past year of commit activity
    Python 39 MIT 7 0 0 Updated Sep 4, 2024
  • ogd_ai-analyzer Public

    Automagically do a deep check of metadata quality of your DCAT OGD offering.

    machinelearningZH/ogd_ai-analyzer’s past year of commit activity
    HTML 5 MIT 1 0 0 Updated Aug 28, 2024
  • ogd_ai-metafairy Public

    An app that helps you easily create high quality dataset descriptions – with a little help from AI.

    machinelearningZH/ogd_ai-metafairy’s past year of commit activity
    Python 7 MIT 0 0 0 Updated Jul 31, 2024
  • ogd_ai-search Public

    Semantic, lexical, multilingual search in your OGD metadata catalog.

    machinelearningZH/ogd_ai-search’s past year of commit activity
    Jupyter Notebook 2 MIT 0 0 0 Updated Jul 31, 2024
  • named-entity-recognition_staatsarchiv Public

    Projekt «Named Entity Recognition für die zentralen Serien des Staatsarchivs Kanton Zürich»

    machinelearningZH/named-entity-recognition_staatsarchiv’s past year of commit activity
    Jupyter Notebook 9 MIT 0 0 0 Updated Jul 31, 2024
  • .github Public
    machinelearningZH/.github’s past year of commit activity
    0 0 0 0 Updated May 7, 2024

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