Prescriptive Design Analytics

Prescriptive Design Analytics is a form of design analytics that, as its genus, employs data-driven models and computational methods to not only predict outcomes but also recommend optimal design decisions by systematically differentiating itself through its focus on generating actionable, evidence-based design interventions.

1

Publications

17

Citations

3

Authors

1

Institutions

Publications per year

2017–2026

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Authors

3

  1. SJ
    S. Joe Qin

    University of Southern California, United States

    1 publications · 17 citations

    1

    h-index

  2. YJ
    Yuan Jin

    Ningbo University, China

    1 publications · 17 citations

    1

    h-index

  3. QH
    Qiang Huang

    University of Southern California, United States

    1 publications · 17 citations

    1

    h-index

1–3 of 3

Institutions

1

  1. University of Southern California

    Los Angeles, United States

    1 h-index

    3 publications

    51 citations

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