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 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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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. |
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ISSN: | 0140-525X 1469-1825 |
DOI: | 10.1017/S0140525X23002170 |