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- handle: 10670/1.cnz1fq
- hal: hal-04551319
- doi: 10.1017/S0140525X23002170
- PUBMED: 38311444
- WOS: 001157232100001
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info:eu-repo/semantics/altIdentifier/doi/10.1017/S0140525X23002170
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info:eu-repo/semantics/altIdentifier/pmid/38311444
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Tanay Katiyar et al., « Discovering the unknown unknowns of research cartography with high-throughput natural description », HAL-SHS : économie et finance, ID : 10.1017/S0140525X23002170
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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 experimental design.