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

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Date

2024

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Périmètre
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HALSHS : archive ouverte en Sciences de l’Homme et de la Société

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Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1017/S0140525X23002170

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/38311444

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Archives ouvertes

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Centre pour la communication scientifique directe

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info:eu-repo/semantics/OpenAccess

Mots-clés Und

E - Macroeconomics and Monetary Economics/E.E7 - Macro-Based Behavioral Economics/E.E7.E71 - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy

Sujets proches En

Description Description, geography

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Tanay Katiyar et al., « Discovering the unknown unknowns of research cartography with high-throughput natural description », HALSHS : archive ouverte en Sciences de l’Homme et de la Société, 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.

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