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Discovering the unknown unknowns of research cartography with high-throughput natural description
Behavioral and Brain Sciences ( IF 29.3 ) Pub Date : 2024-02-05 , DOI: 10.1017/s0140525x23002170
Tanay Katiyar , Jean-François Bonnefon , Samuel A. Mehr , Manvir Singh

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.



中文翻译:

通过高通量自然描述发现研究制图的未知领域

为了取得成功,我们认为研究制图将需要高通量的自然描述来识别特定设计空间中的未知因素。高通量自然描述,即对现实世界刺激的代表性语料库的系统收集和注释,面临着逻辑上的挑战,但这些挑战可以通过在综合实验设计的后期阶段部署的解决方案来克服。

更新日期:2024-02-05
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