Algorithmic Rulemaking

Algorithmic Rulemaking is a form of hybrid rulemaking that integrates computational algorithms into the regulatory process to dynamically generate, adapt, or enforce rules based on data-driven analysis and predictive modeling.

21

Publications

1.2K

Citations

37

Authors

28

Institutions

Publications per year

2017–2026

13

Authors

37

  1. DO
    Dirk Otto Beerbaum

    Aalto University, Finland

    3 publications · 66 citations

    3

    h-index

  2. MM
    Margariete Montague Wheeler

    Northern Illinois University, United States

    2 publications · 157 citations

    2

    h-index

  3. JT
    Judith T. Sowder

    San Diego State University, United States

    2 publications · 157 citations

    2

    h-index

  4. AR
    Annmarie Ruston

    Canterbury Christ Church University, United Kingdom

    1 publications · 38 citations

    1

    h-index

  5. JL
    Jens Ludwig

    University of Chicago, United States

    1 publications · 63 citations

    1

    h-index

1–5 of 37

Venues

  1. SSRN Electronic Journal

    Repository · 3 publications · 66 citations

    3

    h-index

  2. Government Information Quarterly

    2 publications · 79 citations

    2

    h-index

  3. Journal for Research in Mathematics Education

    JRME · 2 publications · 157 citations

    2

    h-index

  4. Learning Media and Technology

    1 publications · 117 citations

    1

    h-index

  5. The Journal of Economic Perspectives

    JEP · 1 publications · 63 citations

    1

    h-index

1–5