Bio Data Art

Bio Data Art is a singular academic concept referring to a data-driven artistic practice that belongs to the genus of Data-Driven Art and is differentiated by its explicit use of biological data—such as physiological, genetic, or neural signals—as the foundational material for generating visual, auditory, or interactive aesthetic expressions.

1

Publications

23

Citations

2

Authors

2

Institutions

Publications per year

2017–2026

1

Authors

2

  1. AN
    Alexander N. Melkozernov

    Arizona State University, United States

    1 publications · 23 citations

    1

    h-index

  2. VS
    Vibeke Sørensen

    Danish Agriculture and Food Council, Denmark

    1 publications · 23 citations

    1

    h-index

  3. SA
    Suzanne Anker

    School of Visual Arts, United States

    1 publications · 11 citations

    0

    h-index

1–3 of 2

Institutions

2

  1. Nanyang Technological University

    Singapore, Singapore

    1 h-index

    1 publications

    23 citations

  2. Arizona State University

    Tempe, United States

    1 h-index

    1 publications

    23 citations

  3. School of Visual Arts

    New York, United States

    1 publications

    11 citations

1–3 of 2

Venues

  1. AI & Society

    1 publications · 23 citations

    1

    h-index

1–1