Netherlands Enterprise Agency

This organisation has published the following algorithm descriptions:

  • Risk control SDE++ subsidy applications

    Netherlands Enterprise Agency

    The algorithm is used to provide an SDE++ grant application with a risk indication. This is done before the application is assessed by an adviser and before a decision on an application is sent.
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    Last change on 3rd of December 2024, at 15:55 (CET) | Publication Standard 1.0
    Publication category
    Other algorithms
    Impact assessment
    ...
    Status
    In use
  • Meeting the energy saving obligation

    Netherlands Enterprise Agency

    In the reporting of the digital reporting form of the energy saving information obligation, companies fill in the EML for each location. The digital counter determines whether the energy saving obligation is met based on the answers . This is done by generating a classification code .
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    Last change on 19th of November 2024, at 12:41 (CET) | Publication Standard 1.0
    Publication category
    Other algorithms
    Impact assessment
    Field not filled in.
    Status
    In use
  • TVL Risk model

    Netherlands Enterprise Agency

    The algorithm is used to make an automated risk assessment for all Applications for Fixed Chargesgemoetkoming, prior to automated or manual granting and payment of the advance.
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    Last change on 30th of May 2024, at 12:57 (CET) | Publication Standard 1.0
    Publication category
    High-Risk AI-system
    Impact assessment
    Field not filled in.
    Status
    In use
  • The algorithm is used to perform automated risk assessment for all Energy Cost Contribution applications, prior to automated or manual granting and payment of the advance.
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    Last change on 26th of April 2024, at 11:47 (CET) | Publication Standard 1.0
    Publication category
    High-Risk AI-system
    Impact assessment
    DPIA
    Status
    In use
  • TenderTrends

    Netherlands Enterprise Agency

    TenderTrends is a model that searches for relevant tenders based on entered keywords and filters and displays data from these. For instance, if the words 'grass', 'mowing' and 'trees' are entered, tenders containing one or more of these words will appear. The user can convert a selection of tenders ...
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    Last change on 16th of January 2024, at 10:19 (CET) | Publication Standard 1.0
    Publication category
    Other algorithms
    Impact assessment
    Field not filled in.
    Status
    In development