Predictive Modeling Ethics

Predictive Modeling Ethics is a normative framework that governs the responsible design, deployment, and use of predictive models in campaign contexts by ensuring fairness, transparency, accountability, and respect for individual privacy in data-driven decision-making processes.

18

Publications

971

Citations

47

Authors

30

Institutions

Publications per year

2017–2026

13

Authors

47

  1. RM
    Rainer Mühlhoff

    Technische Universität Berlin, Germany

    2 publications · 110 citations

    2

    h-index

  2. GR
    Gomathy Ramaswami

    Massey University, New Zealand

    1 publications · 64 citations

    1

    h-index

  3. RA
    Ruben Amarasingham

    The University of Texas Southwestern Medical Center, United States

    1 publications · 306 citations

    1

    h-index

  4. EK
    Emily Keddell

    University of Otago, New Zealand

    1 publications · 92 citations

    1

    h-index

  5. AN
    Arvind Narayanan

    Princeton University, United States

    1 publications · 47 citations

    1

    h-index

1–5 of 47

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 27 citations

    2

    h-index

  2. Suicide and Life-Threatening Behavior

    1 publications · 27 citations

    1

    h-index

  3. Big Data

    1 publications · 26 citations

    1

    h-index

  4. Public Administration Review

    PAR · 1 publications · 58 citations

    1

    h-index

  5. The British Journal of Psychiatry

    BJP · 1 publications · 14 citations

    1

    h-index

1–5