Discovering the unknown unknowns of research cartography with high-throughput natural description

To succeed, we posit that research cartography will require high-throughput natural description to identify unknown unknowns in a particular design space. High-throughput natural description, the systematic collection and annotation of representative corpora of real-world stimuli, faces logistical c...

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Veröffentlicht in:The Behavioral and brain sciences 2024-02, Vol.47, p.e50-e50, Article e50
Hauptverfasser: Katiyar, Tanay, Bonnefon, Jean-François, Mehr, Samuel A., Singh, Manvir
Format: Artikel
Sprache:eng
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Zusammenfassung:To succeed, we posit that research cartography will require high-throughput natural description to identify unknown unknowns in a particular design space. High-throughput natural description, the systematic collection and annotation of representative corpora of real-world stimuli, faces logistical challenges, but these can be overcome by solutions that are deployed in the later stages of integrative experiment design.
ISSN:0140-525X
1469-1825
DOI:10.1017/S0140525X23002170